Publication Date
1997
Description
In the northern part of Punjab in Pakistan, severe soil erosion has caused land degradation and has disturbed sustainable land use systems. Since much of this erosion has been marked near rivers, watersheds and topography are considered to be related to soil erosion. We applied the Geographic Information System (GIS) and Remote Sensing to the assessment of an erodible area. GIS is very useful for conducting spatial data analysis using map data. Remotely sensed data provides the information about land surfaces. In this study, the distance from the river, weighted by the slope estimated by GIS, and the standard deviations (SD) of LANDSAT/TM4 were closely related. The SD was believed to show the homogeneity of land surfaces affected by soil erosion. Based on these results, a land evaluation map of soil erosion was produced.
Citation
Yamamoto, Y; Uchida, S; Suyama, T; and Shoji, A, "Land Evaluation for Sustainable Land Use by Remote Sensing and GIS Case Study: Assessment of Soil Erosion in Pakistan" (2024). IGC Proceedings (1997-2023). 25.
https://uknowledge.uky.edu/igc/1997/session23/25
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Land Evaluation for Sustainable Land Use by Remote Sensing and GIS Case Study: Assessment of Soil Erosion in Pakistan
In the northern part of Punjab in Pakistan, severe soil erosion has caused land degradation and has disturbed sustainable land use systems. Since much of this erosion has been marked near rivers, watersheds and topography are considered to be related to soil erosion. We applied the Geographic Information System (GIS) and Remote Sensing to the assessment of an erodible area. GIS is very useful for conducting spatial data analysis using map data. Remotely sensed data provides the information about land surfaces. In this study, the distance from the river, weighted by the slope estimated by GIS, and the standard deviations (SD) of LANDSAT/TM4 were closely related. The SD was believed to show the homogeneity of land surfaces affected by soil erosion. Based on these results, a land evaluation map of soil erosion was produced.
