An Approach to Monitoring of Salt-Affected Croplands Using Remote Sensing Data The Case Study in the Nukus District (Uzbekistan)

• Published in: Future of Sustainable Agriculture in Saline Environments Vol. 1; pp. 171 - 180
• Main Authors: Konyushkova, Maria, Krenke, Alexander, Khasankhanova, Gulchekhra, Mamutov, Nizamatdin, Statov, Victor, Kontoboytseva, Anna, Pankova, Yevgenia
• Format: Book Chapter
• Language: English
• Published: CRC Press 2022
• Edition: 1
• Subjects: Soil Monitoring; Nonsaline Soils; NDVI; OLI; Soil Salinity; Amu Darya River; 2nd Factors; Rainfed Cropland; Smooth; High NDVI; Spaceborne Imagery; Highest Biological Productivity; OLI Scene; Ministry Of Water Resources; WUA; Irrigated Cropland; Salinity Index; Landsat Data; Remote Sensing Data; Landsat-8 OLI; Discriminant Analysis; STATISTICA Software; Saline Soils; NIR; Salinity Status
• ISBN: 0367621460; 9780367621469; 0367631474; 9780367631475
• DOI: 10.1201/9781003112327-10

Soil salinity is one of the main threats to food production in the downstream regions of Central Asia, especially in Uzbekistan and Turkmenistan. The goal of this study was to develop the procedure of processing remote sensing data such as Landsat or similar to integrate these data into the national system of soil monitoring. The procedure based on the analysis of multi-temporal imagery was tested at the irrigated cropland of the Nukus district of Karakalpakstan (in Uzbekistan). A map of agroecological groups which are also correspondent to the salinity status of soils was compiled on the basis of this procedure and the areas of different groups were estimated. The integration of remote sensing data gives a good opportunity to upgrade a national soil monitoring system so that to improve the assessment and decision support for the sustainable management of soil and water resources in irrigated croplands.