Lago Grande in Monticchio Area (Southern Italy): Integrating Multitemporal Airborne Images, Satellite Images (Sentinel-2) and Historical Data to Assess the Extent of Nymphaea Alba l and Taxodium Distichum (l.) Rich in Natural Habitats of Directive 92/43/E

Spicciarelli Renato1, Mirauda Domenica2 and Mancino Giuseppe3
1Basilicata University, School of Agricultural, Forest, Food and Environmental Sciences, V.le Ateneo Lucano, 10, 85100 Potenza (Italy); email: renato.spicciarelli@unibas.it
2Basilicata University, School of Engineering, V.le Ateneo Lucano, 10, 85100 Potenza (Italy); email: domenica.mirauda@unibas.it
3Centro di Geomorfologia Integrata per l’Area del Mediterraneo, Via Francesco Baracca, 175, 85100 Potenza (Italy)
* Correspondence: Mancino Giuseppe E-mail : g.mancino@cgiam.org
Citation | Renato.S, Domenica.M and Giuseppe.M “Lago Grande in Monticchio area (Southern Italy): integrating multitemporal airborne images, satellite images (Sentinel-2) and historical data to assess the extent of Nymphaea alba L. and Taxodium distichum (L.) Rich in natural Habitats of Directive 92/43/EEC”. International Journal of Agriculture & Sustainable Development, Vol 02 Issue 01: pp 01-23, 2020.
Received | May 05, 2020; Revised |May 13, 2020; Accepted | May 28, 2020; Published |June 10, 2020.
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Lago Grande and Lago Piccolo are famous species of Monticchio (Monticchio Lakes) that lie in the collapsed caldera of the volcanic structure of Mt. Vulture (Southern Italy). The entire lake area is the part of the "Monte Vulture" Special Area of Conservation (SAC IT9210210, site code in Natura2000 Network). The main purpose of this research was to verify the expansion of these two species in Lago Grande of Monticchio: Nymphaea alba L., in the Habitat 3150, and Taxodium distichum (L.) which is rich in the Habitat 91E0* (Habitat codes in Directive 92/43/EEC). Multitemporal analysis of aerial Red-Green-Blue (RGB) photographs were acquired for the years 2002 to 2015 to identify a continuous increase of the laminate of N. alba. The evolution of T. distichum which has been analyzed using multi-temporal images, documents and Sentinel-2 remotely sensed datasets. In first, the N.alba population was observed with increasing its span upto 30 percent of the lake area. In 2011, it occurred emissary obstruction. From this year, the specie population was declines up to 24 percent of the lake area. The large surface area occupied by the laminate can bring about to a considerable reduction of the characteristic species of Habitat 3150. In 2017, T. distichum has expanded over an area of 8047 square meters. The evolution of this species reveals the risk of habitat 91E0*reduction with consequences on the population of the moth
Brahmaea (Acanthobrahmaea) europaea Hartig and an Italian endemic species with an exceedingly restricted distribution. The working methodology is based upon combination of different informative source (satellite images, multitemporal airborne images and historical datasets) to identifying vegetation dynamics occurred in hydrophytic vegetation, wetlands and riparian habitat of Lago Grande of Monticchio.
Keywords: Biological invasions; Multitemporal historical data; Sentinel-2, K-means clustering; Monticchio lakes.
INTRODUCTION
In Europe, the aquatic and riparian environments are among the most threatened habitats by human disturbances [1, 2, 3, 4] and invasive alien species are at present a major focus of international conservation concern and the subject of cooperative international efforts, such as the Global Invasive Species Programme (GISP) [5]. Several plant species, wetlands and riparian habitats provide very interesting examples of biological invasions after their emergence in natural ecosystems into new geographical regions [6, 7, 8, 9, 10]. Floating-leaved plants, particularly nymphaeids are often the dominant vegetation in shallow water [11, 12, 13]. The importance of water level fluctuations in regulating aquatic plant distribution and composition has been demonstrated in numerous lakes [13, 14, 15, 16, 17, 18]. Some studies highlight the effects on Bald Cypress [19, 20, 21, 22, 23, 24] but we have very less knowledge about the response of nymphaeids to relatively small changes in water level in natural habitats [24, 25, 26, 27]. Specific studies and regional surveys on the invasion by non-native species have a great importance to monitor and manage the natural resources, particularly in wetlands.
The increasing N. alba population may cause a reduction to the characteristic species of the Habitat 3150 such as Ceratophyllum demersum L., Myriophyllum spicatum L., Potamogeton lucens L., P. crispus L. T. distichum trees, Fraxinus angustifolia subsp. oxycarpa (Willd.) and other oleaceae in Habitat 91E0. These species are host plants of Brahmaea europaea Hartig and the most outstanding Italian moth species with exceedingly restricted range; in fact, this butterfly occurs only in a very small area, mainly around Mount Vulture [28, 29].
In order to evaluate fluctuations over time in Nymphaea alba, spatio-temporal images were used, especially from the Google Earth Pro platform. Moreover, the Google Earth image archive is recognized and used for scientific purposes which initially concerns with temporal changes in landcover [30] and identification of potential habitats suitable for some species [31]. The current version of the Google Earth Pro® platform is available to provide (http://earth.google.com/download-earth.html) historical images with different frequencies depending upon the geographic area. Therefore, the validation tool provided in Google Earth [32, 33], is suitable for analysis of extension in particular land use classes [34, 35,36, 37, 38, 39]. For the assessment of the geographical location of Taxodium distichum, remotely sensed images from Sentinel-2 satellite have been used to map land use features [40, 41, 42, 43] and for the particular landuse dynamics [44, 45].
This research aims at developing a working methodology which is capable to monitor the expansion in populations of two species Nymphaea alba L., in Habitat 3150 and Taxodium distichum (L.) in the Habitat 91E0 (Southern Italy). It also aims at considering the rise in lake level since 2011. The species surviving in these environments are at risk, so it is significant to include in Special Area of Conservation (SAC) IT9210210 “Monte Vulture” (site code in Natura2000 European Network) inserted in the newly established Regional Natural Park of Vulture.
Study area
Lago Grande (LG) di Monticchio and Lago Piccolo di Monticchio (LP) are two adjacent maar lakes of Monticchio (40°55'N, 15°35'E), within a caldera on the western slopes of Mount Vulture in Basilicata, a part of Southern Italy. LG is the larger but less voluminous than LP. Both lakes lie within SAC “Monte Vulture” [46]. Table 1 summarizes some morphometric characteristics of the Monticchio lakes (November 2, 2015 [47]) by Spicciarelli & Mirauda (Table 1).

Table 1. Morphometric characteristics of the Monticchio lakes (Spicciarelli & Mirauda 2015).

* This data is increased by one metre because of the accidental obstruction of the emissary.
The Lakes have a small drainage area (4.0 km2), where water features are characterised by internal springs, precipitations and runoff. From LP, water comes toward LG through a short stream (length: 216 m; flow: 50 L s-1). LG has two separate areas differing in morphometry as shown in Figure 1. A large area is relatively shallow and rich with macroscopic submersed vegetation and the water is mixed completely once or twice a year. It is characterised by high concentrations of ions in deeper layers. The monimolimnion is present from 20 to 40 m which becomes depleted of oxygen (less than 1 meq L-1).
During summer, the high photosynthetic activity leads to O2 oversaturation. In LG, the depth of water anoxia fluctuates between 5 m in summer and 20 m in winter, when a large portion of lake bottom, lying at 12 m depth, is oxygenated. Chemical data show a situation between eutrophic and hypereutrophic conditions, with a total P (Phosphorus) concentration frequently exceeding 50 μg L-1 (surface water) and a Secchi disk depth in summer of about 100-120 cm, with maximum macrophyte growing depth (MMGD) of 3.20-3.40 m, determined in September 2015 [47].

Figure 1. The bathymetry of LG carried out in 2015 (Spicciarelli & Mirauda 2015).
The pH profile decreases from surface to bottom, ranging from 9.1 to 5.9. This pH gradient exists because volcanic spring waters are rich in CO2 and SO2 that escapes from the residual volcanic activity. The photosynthesis of aquatic vegetation also contributes to the pH gradient [48, 49].
Habitats (Habitat Directive” 92/43/EEC)
3150 Natural euthrophic lakes are rich with Magnopotamion or Hydrocharition-type vegetation. The phytosociological investigations have led to the identification of 3 types of associations related to aquatic vegetation [50] 1) Myriophyllo verticillati-Nupharetum lutei Koch 1928; 2) Potametum lucentis Hueck 1931 and 3)Ceratophylletum demersi Hild 1956. The most frequent aquatic plants present in LG are Ceratophyllum demersum, Myriophyllum spicatum and Nymphaea alba.
Venanzoni et al. [50] have identified that the most frequent species in LG are: Ceratophyllum demersum, Myriophyllum spicatum and Nymphaea alba. The authors also identified the presence of the species: Potamogeton lucens L., P. crispus L., Polygonum amphibium L., Myosotis scorpioides L. However, the latter species were not found later [51, 52]. This is particularly important when considering that P. lucens is the species guide of Habitat 3150.
91E0* Alluvial forests with Alnus glutinosa (L.) Gaertn. and Fraxinus excelsior L. (Alno-Padion, Alnion incanae, Salicion albae). In Monticchio area, endemic animals and plants of high biogeographic interest are present such Lutra lutra L., Alburnus albidus (Costa), Brahmaea europaea Hartig and its food plant Fraxinus angustifolia subsp. oxycarpa (Willd.) [28, 29]. The trees are narrow-leaved with less widespread in Habitat 91E0*, Alluvial forests with Alnus glutinosa (L.) Gaertn. and Fraxinus excelsior L. (Alno-Padion, Alnion incanae, Salicion albae), which are comparable with Taxodium distichum (a plant that is very well adapted around LG) [53]. From 2011, this habitat remained submerged throughout the year due to the obstruction in drainage channel. A local condition that is leading to the death of numerous individuals of southern ash as of the alder (Alnus glutinosa (L.) Gaertn.). The habitat cannot expand to higher altitudes, because the circumlunar road physically impedes spontaneous expansion.
Plants
Nymphaea alba L. 1753 (fam. Nymphaeaceae) and European White Waterlily (EWW) are important aquatic perennial plants which are rooted on the muddy Lake bottom by means of a fleshy, slightly branched rhizome which produces healthy floating foliage along with gorgeous, scented, hermaphrodite, self-fertile flowers which blooms from June to early August in Italy. This area is rich due to alkaline water marshes [48] ponds, slow moving streams and lakes or canals [54]. The species spreads easily in purity in the Myriophyllo verticillati – Nupharetum lutei Koch 1928 phytocoenosis but it is found with other aquatic and macrophytic species ((P. lucens, P. crispus, C. demersum, M. spicatum).) in Potametum lucentis Hueck 1931 phytocoenosis [50].
EWW successfully competes with other aquatic plants for nutrients and light [55, 56, 57, 58], that resists to conditions of high acidity or alkalinity [59]. These species withstand temporary for lowering of the water level [11, 13, 26], but it can suffer negative effects from its elevation [25, 60, 27]. Nymphaea alba is considered invasive and when it is aided by eutrophication, it expands rapidly [58]. These species are included in IUCN Red List of threatened species classified as Least Concern as it is widespread with stable populations and does not face any major threats [61]. In LG, the specie populations cover high surfaces especially in the southern part of the lake, characterized with a lower seabed that slopes gently towards the central depression. In LP, N. alba is present with a small nucleus, already found by Trotter in 1905 [62].
Taxodium distichum (L.) Rich 1810, (fam. Taxodiaceae) and Bald Cypress (BC) were introduced in Europe in the 1637 through England by John Tradescants [63] and arrived in Italy during the XVIII century as ornamental tree. In the 30s of the XX century it was used for reforestation in marshlands and wetlands. At present, it is as casual non-native species in Lombardy and Veneto (northern Italy) [64]. These species are capable of living from seedling to maturity in soils waterlogged areas [19, 65, 24). In the study area, BC was planted in the reforestation carried along the banks of the lakes of Monticchio in the 50s of XX century. The presence of several specimen of T. distichum within Carici remotae – Fraxinetum oxycarpae phytocoenosis characteristic of Habitat 91E0* were already reported by Venanzoni et al. [50].
Materials and Methods

Ground survey, aerial photographs and satellite images were carried out during the period of April 2002 to December 2017 as listed in Table 2 and Table 3.
Table 2. Input data used for Nymphaea alba expansion assessment

In order to evaluate the inter-annual fluctuations of EWW, six aerial photographs were taken during the summer due to highest expansion rates. The collected data is described in Table 2 compared across time and space which consists of aerial photos of different sources, also by drone equipped with a high-resolution Infrared camera, as adopted by Boret & Reeber [66]. In particular, airborne photos of Agenzia per le Erogazioni in Agricoltura (AGEA) and images of the Google Earth Pro platform were used.
Google Earth Engine is a well-known free Internet application that provides a large library of satellite images and aerial photos with global coverage. The data are provided at high resolution (<1 m) and the platform provides low cost and technologically easy analysis tools for territorial analysis [67]. Google Earth Pro provides a combination of the visible bands useful to recognize spatial patterns through visual interpretations. This platform is efficient to identify and select complex spatial information in a more accurate way than any other device or algorithm [68, 69, 70, 71, 72 ,73, 74].
We required high resolution photographs and digitized the expansion areas of N. alba. These photographs were georeferenced in the Reference System UTM WGS 84-33N. The expansion area of N. alba was measured over several years by comparing it with bathymetry [47]. A focus was made on the forms of 3 EWW pads on the lake by comparing the different shots.
For the identification of the current cypress expansion we acquired remotely sensed images and executed field surveys. In particular, images of the Sentinel-2 were selected in the autumn-winter period (year 2017) as shown in Table 3 in such a way to have greater discrimination between the radiometric response of Taxodium and that of the surrounding arboreal vegetation.
Table 3. Satellite data input for actual Taxodium distichum expansion assessment

The images were georeferenced in the WGS84-33N UTM which were subjected to pre-processing steps. The whole tiles were treated for the clouds masking using the Idepix algorithm (Identification of Pixels), a pixel identification tool, available as a SNAP plugin. This tool needs a Sentinel-2 L1C product for masking. Subsequently, atmospheric correction was performed using the Sen2Cor algorithm, present in the SNAP application of the ESA (European Space Agency), suitably developed for treatment of images by Copernicus mission. Sen2Cor is built upon scene classification and look-up tables from a radiance transfer model such as MODTRAN. Finally, the Sentinel-2 tiles were cropped for the area of interest (Figure 2).
Figure 2. Sentinel-2 images of 29 March 2017 in true colour composition (a) and false infrared colour (b); of 15 October 2017 in true colour composition (c) and false infrared colour (d); of 24 December 2017 in true colour composition (e) and false infrared colour (f) of the current distribution of Taxodium distichum.
We processed the Sentinel-2 images that would allow greater differentiation with respect to the surrounding deciduous vegetation during the months March, October and December. Well renowned vegetation indexes e.g., Normalized Difference Vegetation Index (NDVI) as formulated in Equation 1 and the Enhanced Vegetation Index (EVI) as formulated in Equation 2 were computed as below,
????????????????= (????????????−????????????)????????????+???????????? Equation 1
????????????= 2.5∗(????????????−????????????)(????????????+6∗????????????−7.5∗????????????????+1) Equation 2
While NDVI [75] is capable to identify the chlorophyll content [76, 77, 78] and the amount of biomass [79, 80]. EVI [81] is more sensitive to the structural characteristics of vegetation [82, 83, 84] and to the phenology [85, 86, 87]. Therefore, both the vegetation indices provided better understanding of availability of biomass e.g., Taxodium distichum. We proceeded to an automatic classification using the K-means clustering algorithm [88] by computing NDVI and EVI indices using visible and the near infrared (band2, band3, band4 and band8) of Sentinel-2.
K-means clustering technique uses Euclidean distance for calculating the distances between pixels and cluster centroids and is a heuristic, greedy algorithm for minimizing Sum of Squared Errors (SSE).
The objective function is described in Equation 3
????= ΣΣ‖????????(????)− ????????‖????????=1????????=12 (Equation 3)
Where ||xi(j) – cj||2 is a chosen distance measured between a data point xi(j) and the cluster centre cj that is an indicator of the distance of the n data points from their respective cluster centres.
To check the precise distribution of Bald Cypress, we conducted field surveys, supported by the field map. The coordinate points after every 50 m where chosen to represent the cypress expansion limits. Subsequently with GPS survey in the field, the limit of expansion of T. distichum was traced with precision.
For the historical data on Bald Cypress, information was collected by interviewing operators and foresters and by sifting historical documents for data that could allow us to identify the period of transplantation. A flow chart of methodology adopted in this research is show in Figure 3.

Figure 3. Flow chart of methodology adopted for Nymphaea alba (to the left) and Taxodium distichum (to the right).
Results and discussion Nymphaea alba L.
All aerial and satellite photographs available (from 2002 to 2015) were taken for the months May-September as shown in Figure 4,

Figure 4. Areas occupied by European White Waterlily on the Lago Grande of Monticchio indicated with different colours for each year.
The area highlighted of N. alba populations, created for each image clearly describes the trend of the expansion of the laminate over the years as represented in Figure 5.
In this Figure 5, N. alba has increased its expansion on the surface of the lake with an expansion by 30%. Between 2011 and 2014, on the other hand, there was a decline of around 24% to laminate area. The spread of EWW on LG decreased again for the period (2014-2015).

Figure 5. Surface occupied by European White Waterlily between 2002 and 2015.
Despite the evident recent decrease in the area occupied by the laminate, EWW is the main macrophyte of LG. N. alba occupies 6% of the surface of the lake, over 30% if we consider the surface of the lake with a depth lower than that of closing hydrophytic vegetation. By the overlapping the orthophotograph of 2015 with the bathymetric map of the same year, it is clear that 90% of EWW emerges from a depth of not more than 2 meters but is also found in cores at depths closer to 4 meters as shown in Figure 6,

Figure 6. The two lines indicate the bank and the isobath -5 m. European White Waterlily to northwest is very close to that line (2015).
By the observation of the Arial photographs of different years, we observed that EWW nuclei seem to first form themselves in a dense and compact leaflet then begin to "peel" from the inside, then fray and that disappeared in the 10-15 years as shown in Figure 7,

Figure 7. Three areas of the lake with EWW pads which describes spatio-temporal variations in evolution of feature from 2002-2015.
Another observation detected during the inspections which was the lifting and floating of rhizomes on the surface. A phenomenon circumscribed to specific sectors of the lake in areas less protected by the wind. The suspended material seems to constitute "small floating islands", which last from one year to the next with other plant species settle. On this, a hypothesis may be established that the hypogea part, anchoring to the seabed might be stimulated by the effect of strong wind on the floating part which have been particularly lengthened due to the water level [25] that produces a tear effect as shown in Figure 8
Probably, the particular diffusion of N. alba has consequences on the presence and on the diffusion of the other hydrophytes that characterize the submerged habitat of this lake. As in the cases of Potamogeton lucens L., Potamogeton crispus L., Polygonum amphibium L., Myosotis scorpioides L., species detected by Venanzoni et al. (work carried out from 1999 to 2000) were not found in 2010 by Azzella [51].

Figure 8. Rhizomes of European White Waterlily rising from the bottom of Lago Grande (September 2015).
The decline might be due to two events that took place between 2011 and 2012 1) the obstruction of the emissary with the raising of the water level [25] and 2) the particularly low temperatures during the winter of 2011-2012, which have frozen the waters of LG for a few days. The decreasing of the surface occupied by EWW is very limited following the lifting of the rhizomes in some small area of the lake. Subsequent measurements on the expansion of the species are necessary to understand, if the reduction recorded in recent years, will continue and if at the same time the other aquatic macrophytes will regain a greater living space.
The species can be particularly intrusive. It is necessary to foresee the possibility of reducing its extension by removing the causes and by reducing the effect of the causes that contribute to the eutrophication of the waters of Lago Grande di Monticchio [71]. At the limit, it is also possible to foresee a partial removal of water lilies, not so much to reduce the biomass present in water, also because their contribution is very limited [72, 73] to favour the development of other hydrophytes that are particularly significant for the habitat.
Taxodium distichum (L.) Rich
The testimonies, gathered by the elderly operators who directly carried out the planting of T. distichum around LG, allowed to date the first presence of this species in Monticchio Lakes. Simultaneously with poplars and alders, present along the banks, were planted several times starting from 1952 and to 1955 (before National Mountain Festival of 1956) as shown in Figure 9,
In 1960, the cypresses appeared and the propagation material was purchased, while the poplars and the alder were produced in the plant nursery called "Solagna Lago Piccolo", along with other species (Robinia pseudoacacia, Juglans regia, Ailanthus altissima, Pinus nigra), details that emerge by Forest Management Plan of Monticchio Forest 1955-1964 [74].

Figure 9. Two views of Monticchio Lakes: anterior to 1949 (over) and of 1958 (under). The new planting of Bald Cypress was circled in the latter, while the same space was visibly circled in the former, occupied by other plants.
For Taxodium distichum, the classification technique was used which provides satisfactory results. This technique has been widely used by various researchers [89, 90, 91, 92, 93] for various sensors and also for Sentinel-2 [94]. The classification results were efficient to identify the Taxodium distichum dislocation as shown in Figure 10. Finally, the surveys carried out in the field via GPS have made it possible to refine the boundaries of identified species.

Figure 10. K-means clustering classification of Sentinel-2 images (in red the Taxodium distichum dislocation).
The integration of data obtained by different methodologies have allowed to realize a detailed map of T. distichum as shown in Figure 11. The multi-temporal comparison has highlighted its recent expansion along the emissary of Ofanto river that represents an important ecological corridor for fauna.
Figure 11. Spread of Bald Cypress along the shore.
In 2017, cypress grew along the shores of Lago Grande up to 925 meters linearly (about 38.8% of the perimeter of lake surface) and expanded over an area of 8,047 square meters, alder trees (transplanted a few meters from the shore, in rows having a distance of 5-6 meters between plants). On the site, the reproduction was exclusively agamic and the vegetational stage is demonstrated by the high production of galbuli, pneumatophores and the response of foliage infrared.
The evolution of Taxodium distichum reveals that the species spreads into Habitat 91E0*, with per consequences on the population of moth B. europaea having narrow-leaved ash is host plants. Certainly, the recent and accidental increase in lake level, with the submersion of many riparian surfaces, has favoured BC. Moreover, the hydrophytes (of low depth) near the cypress tree are absent or compromised by competition.
Despite being a non-native plant, currently it is a part of the landscape of Monticchio Lakes. This does not exclude the possibility of a decline to contain the population of Taxodium along the shore, in particular where it is inserted in the attic and at the end where it tends to expand along the shore.
The abnormal level of Lago Grande, which must be brought back to its historical levels as soon as possible, is causing profound changes into Habitat 91E0*, both in terms of reduction of the surface and in composition of its vegetation. In addition, the presence of hundreds of large specimens of alder and ash fallen into water or ground has been observed. The restoration of the main function of the emissary, that is to keep the lake level stable within certain limits, is particularly important, since the riparian habitat could not expand into higher areas due to the presence of the circumlacual road which constitutes an insurmountable physical obstacle.
Conclusions
The working methodology is based on combination of different informative source which revealed that some dynamics occurred during the last years in wetlands and riparian habitat of Lago Grande of Monticchio that resulted in expansion from 2002 to the 2011 and a decline was observed after this time. In accordance with the reports by other authors [25, 26], this trend is due to abnormal rising of the lake level up to 1 meter.
Currently, Nymphaea alba is dominant plant both on landscape and on other aquatic plants of the Lago Grande of Monticchio. In 2015, 90% of Lago Grande N. alba population emerged from a depth of no more 2 meters and 10% emerged from 2 to 4 meters.
The population of other aquatic plants (Potamogeton lucens, P. crispus, Polygonum amphibium, Myosotis scorpioides), and characterised species of the Habitat 3150 (Natural euthrophic lakes with Magnopotamion or Hydrocharition-type vegetation) has been reduced which need to be monitored.
In recent years, on the lake shore, T. distichum continued to expand. In 2015, it occupied 38,8% the lake perimeter, with the surface decrement of Habitat 91E0* (Alluvial forests with Alnus glutinosa (L.) Gaertn. and Fraxinus excelsior L. (Alno-Padion, Alnion incanae, Salicion albae)). The Bald Cypress, was favoured by the abnormal level of the lake. The restoration of the main function of the emissary and a careful check of lake level are particularly necessaries to avoid profound environmental changes. Acknowledgement I would like to thank to Michelangelo Repole and Donato Pierri (who have been working for many years in Monticchio for the State Forestry Corp) for historical notices. We would like to thanks to anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions.
Author’s Contribution. All the authors contributed equally. Giuseppe Mancino has also been particularly involved in the treatment and analysis of Sentinel-2 images and he oversaw the study. Conflict of interest. We have no conflict of interest for publishing this manuscript in IJASD
Project details. NIL
References

[1] Mitchell D.S. "Development excessive populations of aquatic plants". In “Aquatic vegetation and its use and control”. UNIPUB pp. 38-49, 1982
[2] Pyšek P., Jarošík V., Hulme P.E., Kühn I., Wild J., Arianoutsou M., Bacher S., Chiron F., Didžiulis V., Essl F., Genovesi P., Gherardi F., Hejda M., Kark S., Lambdon P.W., Desprez-Loustau M.L., Nentwig W., Pergl J., Poboljšaj K., Rabitsch W., Roques A., Roy D.B., Shirley S., Solarz W., Vilà M. & Winter M. "Disentangling the role of environmental and human pressures on biological invasions across Europe". Proceedings of the National Academy of Sciences 107 (27): 12157-12162, 2010
[3] Manolaki P., Papastergiadou E. "Responses of aquatic macrophyte assemblages to nutrient enrichment in a lowland river basin of western Greece". Plant Biosystems-An International Journal Dealing with all Aspects of Plant Biology 146 (4): 1064-1077, 2012
[4] Brundu G. "Plant invaders in European and Mediterranean inland waters: profiles, distribution, and threats". Hydrobiologia 746: 61–79, 2015.
[5] Ruiz G.M., Carlton J.T. "Invasive species: vectors and management strategies". Island Press, Washington, DC. 518 pp., 2003.
[6] Sculthorpe C.D. "Biology of aquatic vascular plants". 610 S. London: Edward Arnold Ltd., 1967
[7] Ashton P.J. and Mitchell D.S. "Aquatic plants: patterns and modes of invasion, attributes of invading species and assessment of control programmes". In: Drake JA, Mooney HA, di Castri F, Groves RH, Kruger FJ, Rejmanek M and Williamson M (eds) Biological Invasions. A Global Perspective, pp 111–154. John Wiley &: Sons, New York, 1989

[8] Barrett S.C. "Il controllo dell'invasione di piante acquatiche infestanti di Spencer C. H. Barrett" in «Le Scienze» n. 256, 1989.

[9] Barrett S.C., Eckert C.G., Husband B.C. "Evolutionary processes in aquatic plant populations". Aquatic Botany 44 (2-3): 105-145, 1983
[10] Kaplan D. "Instability in newly-established wetlands? Trajectories of floristic change in the re-flooded Hula peatland, northern Israel". Mires and Peat 9: 1-10, 2012.
[11] Brock T.C., Van der Velde G., Van de Steeg H.M. "The effects of extreme water level fluctuations on the wetland vegetation of a nymphaeid-dominated oxbow lake in The Netherlands". Arch. Hydrobiol. 27: 57-73, 1987.
[12] Van der Velde G., Van der Heijden L.A. "Initial decomposition of floating leaves of Nymphoides peltata in relation to their age, with special attention to the role of herbivores". Verh. Int. Verein. Limnol. 22: 2937-2941, 1985.
[13] Wallsten M., Forsgren P.O. "The effects of increased water level on aquatic macrophytes". J. Aquat. Plant Manage 27: 32-37, 1989.
[14] Van der Valk A.G. "Response of wetland vegetation to a change in water level". In “Finlayson C.M., Larson T., (Eds.), Wetland Management and Restoration. Proceedings from a Workshop in Sweden”. SNV Report 3992, pp. 7-16, 1990.
[15] Papastergiadou E., Babalonas D. "Ecological studies on aquatic macrophytes of a dam lake, Lake Kerkini, Greece". Arch. Hydrobiol. 2: 187-206, 1992.
[16] Blindow I, Andersson G, Hargeby A, Johansson S "Long-term pattern of alternative stable states in two shallow eutrophic lakes". Fresh-water Biol. 30: 159-167, 1993.
[17] Giaca E., Ballesteros E. "The effect of increased water level on Isoetes lacustris L. in Lake Baciver, Spain". J. Aquat. Plant Manage 34: 57-59; 1996.
[18] Hertzman T., Larsson T. "Lake Hornborga, Sweden: the Return of a Bird Lake". Wetlands International 50, Wageningen, 1990.

[19] Conner W.H., Brody M. "Rising Water levels and the Future of Southeastern Louisiana Swamp Forests". Estuaries and Coasts 12 (4): 318-323, 1989
[20] Keeland B.D., Sharitz R.R. "Seasonal growth patterns of Nyssa sylvatica var. biflora, Nyssa aquatica, and Taxodium distichum as affected by hydrologic regime". Can J For Res 25 (7): 1084–1096, 1995.
[21] Pezeshki S.R., Santos M.I. "Relationships among rhizosphere oxygen deficiency, root restriction, photosynthesis, and growth in bald cypress (Taxodium distichum L.) seedlings". Photosynthetica 35 (3): 381–390, 1989.

[22] Eclan J.M., Pezeshki S.R. "Effects of flooding on susceptibility of Taxodium distichum L. seedlings to drought". Photosynthetica 40 (2): 177–182, 2002.
[23] Palta M.M., Doyle T.W., Jackson C.R., Meyer J.L., Sharitz R.R. "Changes in diameter growth of Taxodium distichum in response to flow alterations in the Savannah River". Wetlands (Wilmington) 32 (1): 59–71, 2012.
[24] Wang C., Li C., Wei H., Xie Y., Han W. "Effects of Long-Term Periodic Submergence on Photosynthesis and Growth of Taxodium distichum and Taxodium ascendens Saplings in the Hydro-Fluctuation Zone of the Three Gorges Reservoir of China". PLoS ONE 11(9), 2016.

[25] Paillisson J.M., Marion L. "Productivité des macrophytes flottants du lac de Grand-Lieu (saison 2004). Effets de paramètres environnementaux". DIREN et Université de Rennes 1, 2005.
[26] Paillisson J.M., Marion L. "Can small water level fluctuations affect the biomass of Nymphaea alba in large lakes?" Aquatic Botany 84: 259-266, 2006. [27] Zhao D., Jiang H., Cai Y. & An S. "Artificial Regulation of Water Level and Its Effect on Aquatic Macrophyte Distribution in Taihu Lake". PLoS ONE 7 (9), 2012.
[28] Spicciarelli R. "La Riserva Naturale Orientata di Grotticelle 1963-2013. 50 anni dalla scoperta della Bramea". Corpo Forestale dello Stato, Unità Territoriale per la Biodiversità, Potenza, 157 pp., 2013.
[29] Spicciarelli R. "In search of the ecological determinants for the exceedingly restricted and most outstanding Italian endemic moth, Brahmaea (Acanthobrahmaea)europaea Hartig". In “Atti del XXI European Congress of Lepidopterology, Italy”, Campobasso 3-6 giugno 2019.
[30] Monkkonen P. "Using Online Satellite Imagery as a Research Tool : Mapping Changing Patterns of Urbanization in Mexico". Journal of Planning Education and Research 28: 225-236, 2008.
[31] Mawdsley J.R. "Use of Simple Remote Sensing Tools to Expedite Surveys for Rare Tiger Beetles (Insecta: Coleoptera: Cicindelidae)". Journal of Insect Conservation 12 (6): 689–693, 2007.
[32] Fritz S., You L., Bun A., See L., McCallum I., Schill C., Perger C., Liu J., Hansen M., Obersteiner M. "Percent cropland coverage for sub-Saharan Africa". PANGAEA, 2011, https://doi.org/10.1594/PANGAEA.761139.
[33] Duhl T.R., Guenther A., Helmig D. "Estimating urban vegetation cover fraction using Google Earth® images". Journal of Land Use Science 7 (3): 311-329, 2012.
[34] Schneider A., Friedl M.A., Potere D. "A new map of global urban extent from MODIS satellite data. Environ". Res. Lett. 4 (4), 044003, 2009.
[35] Defourny P., Schouten L., Bartalev S., Bontemps S., Caccetta P., de Wit A.J.W., Di Bella C.M., Gerard B., Giri C., Gond V., Hazeu G.W., Heiniman A., Herold M., Knoops J., Jaffrain G., Latifovic R., Lin H., Mayaux P., Mucher C.A., Nonguierma A., Stibig H.J., van Bogaert E., Vancutsem C., Bicheron P., Leroy M., Arino O. (2009) "Accuracy assessment of a 300-m global land cover map: the GlobCover experience", in: Proceedings of the 33rd International Symposium on Remote Sensing of Environment, Stresa, Italy, 4–8 May 2009, PS-B1-3 (Ref 863), 2009.
[36] Power, D. J. "Decision support systems: A historical overview". Handbook on Decision Support Systems 1, 121-140, 2008.
[37] Riggio J., Jacobson A., Dollar L., Bauer H., Becker M., Dickman A., Funston P. "The size of Savannah Africa: a Lion's (Panthera Leo) view". Biodivers. Conserv. 22: 17-35, 2013.
[38] Jacobson A., Dhanota J., Godfrey J., Jacobson H., Rossman Z., Stanish A., Walker H., Riggio J. "A novel approach to mapping land conversion using Google Earth with an application to East Africa". Environmental Modelling & Software 72: 1-9, 2015
[39] Sidhu N., Pebesma E., Câmaraa G. "Using Google Earth Engine to detect land cover change: Singapore as a use case". European Journal of Remote Sensing 51 (1): 486–500, 2018..
[40] Zheng H., Du P., Chen J., Xia J., Li E., Xu Z., Li X., Yokoya N. "Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features". Remote Sens. 9 (12), 1274, 2017.
[41] Gómez M. G. C. "Joint use of Sentinel-1 and Sentinel-2 for land cover classification: A machine learning approach". Lund University GEM thesis series nr 18, Department of Physical Geography and Ecosystem Science; Sweden, 2017
[42] Clerici N., Augusto C.V., Posada J.M. "Fusion of Sentinel-1A and Sentinel-2A data for land cover mapping: a case study in the lower Magdalena region, Colombia". Journal of Maps 13 (2): 718-726, 2017.
[43] Topaloğlu R.H., Sertel E., Musaoğlu N. "Assessment Of Classification Accuracies Of Sentinel-2 And Landsat-8 Data For Land Cover / Use Mapping" in The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences, XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic.
[44] Frampton W.J., Dash J., Watmough G., Milton E.J. "Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation". ISPRS Journal of Photogrammetry and Remote Sensing 82: 83–92, 2013
[45] Belgiua M., Csillik O. "Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis". Remote Sensing of Environment 204: 509-523, 2018
[46] Spicciarelli R., Autera M., Battafarano R., Gerardi G., Lavinia C., Lazzari M., Lorusso L. & Mancino G. "Misure di Tutela e Conservazione, Report Conclusivo Monte Vulture. Rete Natura 2000", Unione Europea – Regione Basilicata, 411 pp., 2011. Available: www.retecologicabasilicata.it/ambiente.
[47] Spicciarelli R., Mirauda D. “Misure intese a preservare e sviluppare la fauna e la flora acquatiche presenti nel Lago Grande di Monticchio, (Rete Natura 2000 Z.P.S. “Monte Vulture” IT9210210)”, Regione Basilicata - FEP 2007-2013 Misura 3.2, attività di monitoraggio. Report REOS s.r.l., Potenza, 2015.
[48] Smits A.J.M., de Lyon M.J.H., van der Velde G., Steentjes P.L.M., Roelofa J.G.M. "Distribution of three nymphaeid macrophytes (Nymphaea alba L., Nuphar lutea (L.) Sm. and Nymphoides peltata (Gmel.) O. Kuntze) in relation to alkalinity and uptake of inorganic carbon". Aquatic Botany 32: 45-62, 1989.
[49] Schettler G., Albéric P. "Laghi di Monticchio (Southern Italy, Region Basilicata): Genesis of sediments-A geochemical study". J. Paleolimnol. 40 (1): 529–556, 2008.
[50] Venanzoni R., Apruzzese A., Gigante D., Suanno G., Vale F. "Contributo alla conoscenza della vegetazione acquatica e igrofitica dei Laghi di Monticchio". Inf. Bot. Ital. 35 (1): 69-80, 2003.
[51] Azzella M.M. "Flora vegetazione e indicatori macrofitici dei laghi vulcanici d’Italia", PhD thesis, La Sapienza, Rome, 2012. Available: http://www.padis.uniroma1.it/handle/10805/ 1440.
[52] Azzella M.M., Iberite M., Fascetti S., Rosati L. "Loss detection of aquatic habitats in Italian volcanic lakes using historical data". Journal Plant Biosystems 147 (2): 521-524, 2013.
[53] Spicciarelli R., Rosati L., Mirauda D., Azzella M., Potenza G., Fascetti S. "Attuale distribuzione e potenziale invasività di Taxodium distichum (L.) Rich lungo le sponde del Lago Grande di Monticchio (Basilicata, Italia Meridionale)". In “Atti dell’11° Congresso Nazionale sulla Biodiversità”, Matera 9 e 10 giugno 2016.
[54] Marion P., Marion L. "Vegetation Mapping: Changes in Spatial Distribution of Macrophytes in Lake Grand-Lieu from 1945 to 1991", vol. 1. SESLG Université de Rennes (in French), 1992.
[55] Rofès G., Durbec A., Jigorel A., Bertru G., Marion L., Dutartre A. "Dynamics of sospended particulate matters in Lake-lieu (France)". Verh. Int. Verein. Limnol. 25: 608-609, 1993.
[56] Marion L., Brient L. "Measures of a wetland’s effect on water quality: input-output studies of suspended particulate matter, nitrogen (N) and phosphorus (P) in the main plain lake Grand-Lieu". Hydrobiologia 373/374: 217-235, 1998.
[57] Melzer A. "Aquatic macrophytes as tools for lake management". Hydrobiologia 395: 181–190, 1999.
[58] Lukács B.A., Vojtkó A.E., Mesterházy A., Molnár V. A., Süveges K., Végvári Z., Brusa G., Cerabolini B.E.L. "Growth-form and spatiality driving the functional difference of native and alien aquatic plants in Europe". Ecology and Evolution 7 (3): 950-963, 2016.
[59] Kok C.J., Van der Velde G., Landsbergen K.M. "Production, nutrient dynamics and initial decomposition of floating leaves of Nymphaea alba L. and Nuphar lutea L. (Nymphaeaceae) in alkaline and acid waters". Biogeochemistry 11: 225-250, 1990.
[60] Paillisson J.M., Marion L. "Water level fluctuations for managing excessive plant biomass in shallow lakes". Ecological Engineering 37 (2): 241-247, 2011.
[61] Buldrini F., Simoncelli A., Accordi S., Pezzi G., Dallai D. "Ten years of citizen science data collection of wetland plants in an urban protected area". Acta Botanica Gallica 162 (4): 365-373, 2015.
[62] Forti A., Trotter A. "Materiali per una monografia limnologica dei laghi craterici del M. Vùlture". Ann. Bot. VII, supplemento: 111 pp. Roma, Tipografia Voghera, 1908.
[63] Potter J. "Strange blooms: the curious lives and adventures of the John Tradescants". Atlantic Books Ltd., 2014.
[64] Celesti-Grapow L., Pretto F., Carli E., Blasi C. (eds.) "Flora alloctona e invasiva delle regioni d’Italia". Ed. Università La Sapienza, Roma 208 pp., 2010.
[65] Megonigal P.J., Day F.P. "Effects of flooding on root and shoot production of bald cypress in large experimental enclosures". Ecology 73 (4): 1182–1193, 1992.
[66] Boret O., Reeber S. "Remote sensing of floating-leaved macrophyte beds in Lake Grand-Lieu from 1993 to 2001". Rapport SNPN (in French), 2002.
[67] Almeer M.H. "Vegetation Extraction from Free Google Earth Images of Deserts Using a Robust BPNN Approach in HSV Space", International Journal of Emerging Technology and Advanced Engineering; Volume 2, Issue 5, 2012.
[68] Chen L. "Topological structure in visual perception". Science: Vol. 218, Issue 4573: 699-700, 1982.
[69] Kartalopoulos S.V. "Understanding neural networks and fuzzy logic: Basic concepts and applications", IEEE press, New York, 1996.
[70] Zhong Z. S., Nan-Ning Z. "Progress and Challenge of Artificial Intelligence. Journal of Computer Science and Technology", 21:81, 2006.
[71] Mancino G., Nolè A., Urbano V., Amato M., Ferrara A. "Assessing water quality by remote sensing in small lakes: the case study of Monticchio lakes in southern Italy", iForest 2: 154-161, 2009.
[72] Van de Velde G., Peelen-Bexkens P.M.M. "Production and biomass of floating leaves of two species of Nymphaeaceae in two Dutch waters". In “Proceedings of the International Symposium on Aquatic Macrophytes”. Njimegen pp. 230-235, 1983.
[73] Tsuchiya T., Nohara S., Iwakuna T. "Net primary production of Nymphoides peltata (Gmel) O. Kuntze growing on sandy sediment at Edosaki-iri Bay in Lake Kasumigaura, Japan". Jpn J. Limn. 51 (4): 3017-312, 1990.
[74] Forest Management Plane 1955-1964, Foresta di Monticchio. Azienda di Stato per le Foreste Demaniali, 1955.
[75] Rouse J.W. Jr, Haas R.H., Deering D.W., Schell J.A., Harlan J.C. "Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation". NASA/GSFC Type III Final Report, Greenbelt, MD pp. 371, 1974.
[76] Turner F.T., Jund M.F. "Chlorophyll meter to predict nitrogen top dress semidwarf rice". Agronomy Journal 83: 926-928, 1991.
[77] Yoder B.J. and Waring R.H. "The normalized difference vegetation index of small Douglas-fir canopies with varying chlorophyll concentrations". Remote Sensing of Environment 49: 81–91, 1994.
[78] Daughtry C.S.T., Walthall C.L., Kim M.S., de Colstoun E.B., McMurtrey J.E. "Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance". Remote Sensing of Environment 74: 229-239, 2000.
[79] Goetz S.J., Prince S.D. "Remote sensing of net primary production in boreal forest stands". Agricultural and Forest Meteorolog. 17: 149−179, 1996.
[80] Myneni R.B., Keeling C.D., Tucker C., Asrar J.G., Nemani R.R. "Increased plant growth in the northern latitudes from 1981–1991". Nature 386: 698–702, 1997.
[81] Liu H.Q., Huete A.R. "A feedback based modification of the NDV I to minimize canopy background and atmospheric noise". IEEE Transactions on Geoscience and Remote Sensing 33: 457–465, 1995.
[82] Solano R., Didan K., Jacobson A., Huete A. "MODIS vegetation index user’s guide". Version 2.00, May 2010 (Collection 5). http://vip.arizona.edu/documents/MODIS/MODIS_VI_UsersGuide_01_2012.pdf.
[83] Chen X., Vierling L., Rowell E., De Felice T. "Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest". Remote Sensing of Environment 91:14−26, 2004.
[84] Houborg R., Soegaard H., Boegh E. "Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data". Remote Sensing of Environment 106: 39−58, 2007.
[85] Ahl D.E., Gower S.T., Burrows S.N., Shabanow N.V., Myneni R.B., Knyazikhim Y. "Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS". Remote Sensing of Environment 104: 88−95, 2006.
[86] Xiao X., Hagen S., Zhang Q., Keller M., Moore B. "Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal MODIS images". Remote Sensing of Environment 103: 465−473, 2006.
[87] Mancino G., Ferrara A., Padula A., Nolè A. "Cross-Comparison between Landsat 8 (OLI) and Landsat 7 (ETM+) Derived Vegetation Indices in a Mediterranean Environment" .Remote Sensing, 12, 291, 2020.
[88] Richards J.A., Jia X. "Remote Sensing Digital Image Analysis"; Springer-Verlag Berlin Heidelberg, 363 pp., 1999.
[89] Tarabalka Y., Benediktsson J.A., Chanussot J. "Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques". IEEE Trans. Geosci. Remote Sens. 47: 2973–2987, 2009.
[90] Usman A. "Satellite Imagery Land Cover Classification using K-Means Clustering Algorithm: Computer Vision for Environmental Information Extraction", Computer Science & Engineering 63: 18671-18675, 2013.
[91] Subbiah B., Christopher S. "Image Classification through integrated K-Means algorithm". IJCSI International Journal of Computer Science Issues 9,2 (2): 518-524, 2012.
[92] Akgün A., Eronat A.H., Türk N. "Comparing Different Satellite Image Classification Methods", International Society for Photogrammetry and Remote Sensing Journal, ISPRS 35:1091-1097, 2004.
[93] Li M., Zang S., Zhang B., Li S., Wu C. "A Review of Remote Sensing Image Classification Techniques: the Role of Spatio-contextual Information". European Journal of Remote Sensing 47: 389-411, 2014.
[94] Mylona E., Daskalopoulou V., Sykioti O., Koutroumbas K., Rontogiannis A. "Classification of Sentinel-2 Images Utilizing Abundance Representation". The 2nd International Electronic Conference on Remote Sensing (ECRS 2018), 22 March–5 April 2018; Sciforum Electronic Conference Series, Vol. 2, 2018.