A Spatio-Temporal Assessment Of Land use Land Cover Change on Agriculture Productivity in Punjab, Pakistan
Keywords:
Land Cover change, Crop yield estimation, Earth Engine, Agricultural productivityAbstract
Introduction/Importance of Study: The agricultural sector is crucial to the development of any nation, particularly where food security is a concern. In Punjab province, urban settlements are increasingly encroaching on established agricultural lands, posing a significant threat to agriculture in the region. This issue is compounded by the continuous urban expansion and encroachment on fertile lands. The primary aim of this study is to assess the impact of Land Use and Land Cover (LULC) changes on agricultural productivity in Punjab. Utilizing the Earth Engine, this research performs LULC classification and estimates wheat crop yields in the province.
Novelty Statement: This study presents an innovative application of Earth Engine analytics to monitor and analyze the effects of LULC changes on agricultural productivity in Punjab province.
Material and Method: The research employs 20 years of Land Use and Land Cover data from the MODIS dataset, accessed via Google Earth Engine (GEE). In addition, wheat crop production is estimated using the capabilities of GEE.
Result and Discussion: The findings indicate a substantial shift in land cover in Punjab, which has significantly affected wheat crop production. The study emphasizes the importance of public awareness campaigns and the adoption of advanced agricultural technologies. Continuous monitoring of LULC changes using GEE can enable timely interventions to mitigate negative impacts.
Concluding Remarks: By integrating urban growth management strategies with the preservation of agricultural lands, long-term agricultural sustainability and development can be achieved. This research highlights the urgent need for comprehensive policies and collaborative efforts to counteract the adverse effects of urban expansion on agricultural productivity.
References
P. Schleifer and Y. Sun, “Reviewing the impact of sustainability certification on food security in developing countries,” Glob. Food Sec., vol. 24, Mar. 2020, doi: 10.1016/J.GFS.2019.100337.
W. Yu, C. Elleby, and H. Zobbe, “Food security policies in India and China: implications for national and global food security,” Food Secur., vol. 7, no. 2, pp. 405–414, 2015, doi: 10.1007/s12571-015-0432-2.
K. Havas and M. Salman, “Food security: its components and challenges,” Int. J. Food Safety, Nutr. Public Heal., vol. 4, no. 1, p. 4, 2011, doi: 10.1504/ijfsnph.2011.042571.
T. Lang and D. Barling, “Food security and food sustainability: Reformulating the debate,” Geogr. J., vol. 178, no. 4, pp. 313–326, 2012, doi: 10.1111/j.1475-4959.2012.00480.x.
A. Molotoks, P. Smith, and T. P. Dawson, “Impacts of land use, population, and climate change on global food security,” Food Energy Secur., vol. 10, no. 1, pp. 1–20, 2021, doi: 10.1002/fes3.261.
B. Rimal, L. Zhang, H. Keshtkar, N. Wang, and Y. Lin, “Monitoring and modeling of spatiotemporal urban expansion and land-use/land-cover change using integrated Markov chain cellular automata model,” ISPRS Int. J. Geo-Information, vol. 6, no. 9, 2017, doi: 10.3390/ijgi6090288.
T. M. Radwan, G. A. Blackburn, J. D. Whyatt, and P. M. Atkinson, “Dramatic loss of agricultural land due to urban expansion threatens food security in the Nile Delta, Egypt,” Remote Sens., vol. 11, no. 3, pp. 1–20, 2019, doi: 10.3390/rs11030332.
S. Hussain et al., “Using GIS tools to detect the land use/land cover changes during forty years in Lodhran District of Pakistan,” Environ. Sci. Pollut. Res. Int., vol. 27, no. 32, pp. 39676–39692, Nov. 2020, doi: 10.1007/S11356-019-06072-3.
V. Tiwari et al., “Wheat Area Mapping in Afghanistan Based on Optical and SAR Time-Series Images in Google Earth Engine Cloud Environment,” Front. Environ. Sci., vol. 8, Jun. 2020, doi: 10.3389/fenvs.2020.00077.
A. Khan et al., “Evaluating Landsat and RapidEye data for winter wheat mapping and area estimation in Punjab, Pakistan,” Remote Sens., vol. 10, no. 4, 2018, doi: 10.3390/rs10040489.
M. H. Bazai, * Contact, Z. Khan, P. Z. Khan, and A. Saeed, “Land use/land cover change detection and prediction using the CA-Markov model: A case study of Quetta city, Pakistan Land use/land cover change detection and prediction using the CA-Markov model: A case study of Quetta city,” J. Geogr. Soc. Sci., vol. 2020, no. 2, pp. 164–182, 2021.
Y. Liu and Y. Zhou, “Reflections on China’s food security and land use policy under rapid urbanization,” Land use policy, vol. 109, no. August, p. 105699, 2021, doi: 10.1016/j.landusepol.2021.105699.
P. Ghosh et al., “Application of Cellular automata and Markov-chain model in geospatial environmental modeling- A review,” Remote Sens. Appl. Soc. Environ., vol. 5, pp. 64–77, 2017, doi: 10.1016/j.rsase.2017.01.005.
B. Rimal, L. Zhang, H. Keshtkar, B. N. Haack, S. Rijal, and P. Zhang, “Land Use/Land Cover Dynamics and Modeling of Urban Land Expansion by the Integration of Cellular Automata and Markov Chain,” ISPRS Int. J. Geo-Information 2018, Vol. 7, Page 154, vol. 7, no. 4, p. 154, Apr. 2018, doi: 10.3390/IJGI7040154.
Q. Huang et al., “The occupation of cropland by global urban expansion from 1992 to 2016 and its implications,” Environ. Res. Lett., vol. 15, no. 8, 2020, doi: 10.1088/1748-9326/ab858c.
L. Liu, X. Xu, and X. Chen, “Assessing the impact of urban expansion on potential crop yield in China during 1990–2010,” Food Secur., vol. 7, no. 1, pp. 33–43, 2015, doi: 10.1007/s12571-014-0411-z.
K. Boratyńska and R. T. Huseynov, “An innovative approach to food security policy in developing countries,” J. Innov. Knowl., vol. 2, no. 1, pp. 39–44, 2017, doi: 10.1016/j.jik.2016.01.007.
R. Sonnino, “The new geography of food security: Exploring the potential of urban food strategies,” Geogr. J., vol. 182, no. 2, pp. 190–200, 2016, doi: 10.1111/geoj.12129.
A. Y. Prosekov and S. A. Ivanova, “Food security: The challenge of the present,” Geoforum, vol. 91, no. August 2017, pp. 73–77, 2018, doi: 10.1016/j.geoforum.2018.02.030.
M. W. Rosegrant and S. A. Cline, “Global Food Security: Challenges and Policies,” Science (80-. )., vol. 302, no. 5652, pp. 1917–1919, 2003, doi: 10.1126/science.1092958.
S. K. Wegren, F. Nilssen, and C. Elvestad, “The impact of Russian food security policy on the performance of the food system,” Eurasian Geogr. Econ., vol. 57, no. 6, pp. 671–699, 2016, doi: 10.1080/15387216.2016.1222299.
S. Abbas, S. Kousar, and M. S. Khan, “The role of climate change in food security; empirical evidence over Punjab regions, Pakistan,” Environ. Sci. Pollut. Res., vol. 29, no. 35, pp. 53718–53736, 2022, doi: 10.1007/s11356-022-19315-7.
A. Samie, X. Deng, S. Jia, and D. Chen, “Scenario-based simulation on dynamics of land-use-land-cover change in Punjab province, Pakistan,” Sustain., vol. 9, no. 8, 2017, doi: 10.3390/su9081285.
R. M. A. Latif, J. He, and M. Umer, “Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework,” ISPRS Int. J. Geo-Information, vol. 12, no. 2, 2023, doi: 10.3390/ijgi12020081.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 50SEA
This work is licensed under a Creative Commons Attribution 4.0 International License.