ALGORITHMS AND SOFTWARE PACKAGES FOR ASSESSING THE ECOLOGICAL CONDITION OF AGRICULTURAL LANDS IN THE NUKUS DISTRICT
Keywords:
Agriculture, environmental assessment, soil analysis, Nukus district, drought, algorithm, software, advanced technologies, economic development.Abstract
In the Republic of Karakalpakstan, especially in the Nukus district, environmental problems such as drought, salinity, and reduced soil fertility are seriously affecting agriculture. This thesis examines the scientific and methodological aspects of assessing the ecological status of cropland using modern GIS (ArcGIS, QGIS), remote sensing (ENVI, Sentinel-2), statistical analysis (R, Python), and database (PostgreSQL/PostGIS) tools.
Downloads
References
www.lex.uz/ O‘zbekiston Respublikasi Prezidentining 2021-yil 26-fevraldagi PQ-5009-son qarori.
Konstantin Vasiliev. Python programming for geologists and geographers. - M.: DMK Press, 2020
Lunichkin, A. A., Nagorny, A. I., Eremchenko, A. V., & Trigub, L. Ya. (2020). Development of an algorithm for assessing the ecological state of agricultural lands based on the sustainable development index. Ecology and Industry of Russia, 24(9), 41-48.
Ballari, D., Melia, J., & Khandelwal, A. (2021). Using Sentinel-1 Synthetic Aperture Radar (SAR) data for land use/land cover mapping. Geosciences, 11(7), 305
Rich, K., Persello, C., Tait, N., &Coomes, D. (2020). Mapping deforestation and forest degradation in tropical regions: A framework for monitoring using satellite Earth observation data. Methods in Ecology and Evolution, 11(5), 573-587.
