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• W2890184977 abstract "Remote sensing and geographic information system (GIS) have emerged as the most effective tools in generating up-to-date, reliable information on soil and land resources of large regions in a cost-effective and time-efficient manner. Advances in spatial, spectral, and radiometric resolutions of the remote sensing sensors are providing a wide opportunity to the user to characterize soil and land resources. Multispectral broadband remote sensing data have been used for mapping soil types/classes, whereas hyperspectral remote sensing data have been used in quantifying surface soil properties showing their potential application in soil health monitoring. Soil and terrain parameters derived from remote sensing or soil proxies can be used as secondary variables to improve the interpolation of existing soil data and in deriving digital soil map. Availability of temporal remote sensing data in various spatial and spectral resolutions has provided edge in characterizing, mapping, and monitoring of degraded lands. Several web resources have provided various thematic information of soil, land use/land cover, vegetation/forest cover, geomorphology, hydro-geomorphology, geology, terrain, groundwater level, drainage network, watershed boundary, climate, etc. at various scales. Land evaluation methods like land capability classification, parametric methods of land evaluation, FAO framework of land evaluation, agroclimatic suitability, soil quality index, etc. are commonly used to assess the potential of land employing biophysical information. Recent advances in remote sensing technology provide enormous opportunity to resource managers to monitor the state of land degradation as well as to assess the potential of land resources to ascertain their optimal use in insuring food security." @default.
• W2890184977 created "2018-09-27" @default.
• W2890184977 creator A5009322957 @default.
• W2890184977 date "2018-01-01" @default.
• W2890184977 modified "2023-09-26" @default.
• W2890184977 title "Remote Sensing for Land Resource Monitoring and Management" @default.
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• W2890184977 doi "https://doi.org/10.1007/978-3-319-78711-4_18" @default.
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