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Zhou, P., Ge, Y., Jiang, Y., Xie, Y., Si, Z., Yang, H., Huo, H.-Y., Yu, J., & Wei, G. (2020). Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China.
https://doi.org/10.20944/preprints202011.0435.v1

has been cited by the following article:

• TITLE: Estimation of Soil Erosion Dynamics through Rusle Model in Gilgit Baltistan, Pakistan

  AUTHORS: Nageen Tayyab, Moazzam Ali Khan, Amir Alamgir, Tariq Masood Ali Khan, Nasir Sulman

  KEYWORDS: Gilgit Baltistan, Soil Erosion, Rain Erosivity, Soil Erodibility, GIS, RUSLE

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.13 No.2, February 26, 2025

  ABSTRACT: Soil integrity and fertility is on high risk due to water erosion, it’s not only disturbed cropping practices but also damages the ecosystem of the land. In this study, the combination of GIS and RUSLE modeling are used to compute average yearly soil erosion rate in Baltistan Division of Gilgit. R, K, LS C & P Factors were computed to determine average Annual Soil Loss (ASL) which came out to be 6.68 tons/hectare/year. Higher altitudes, which are primarily covered in glaciers and watersheds, depicts maximum value of ASL when compared with lower altitude. Study area may witness a rise in soil loss due to soil texture and change in rain pattern (due to climate change). The maps developed during the study can also be referred to develop planning of land management strategy against soil erosion.