Using Google Earth Engine and GIS for basin scale soil erosion risk assessment: A case study of Chambal river basin, central India,Journal of Earth System Science

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Using Google Earth Engine and GIS for basin scale soil erosion risk assessment: A case study of Chambal river basin, central India
Journal of Earth System Science ( IF 1.3 ) Pub Date : 2022-10-21 , DOI: 10.1007/s12040-022-01977-z
Rohit Kumar , Benidhar Deshmukh , Amit Kumar

Abstract

In this study, soil loss by water in the Chambal river basin (CHB) has been estimated using Google Earth Engine and Geographic Information System platforms employing the Revised Universal Soil Loss Equation (RUSLE). Google Earth Engine, a cloud-based platform, has been used for generating land use/land cover map from the voluminous satellite remote sensing data. The observed mean rate of soil erosion in the CHB is 1.17 t/ha/yr. The study reveals that very severe type of soil erosion in the Chambal river basin is found in the gullies/ravines and barren lands with the highest mean rate of soil erosion in the gully areas at 13.44 t/ha/yr. Catchment-wise soil loss estimates suggest that the four catchments namely Kali Sindh, Lower Chambal, Upper Chambal and Parbati are experiencing much higher soil loss in comparison to others; hence these catchments are prioritised for soil conservation efforts. Sensitivity analysis of individual factors and their interaction effect indicates that LS factor is the most influential factor in the study area followed by C factor.

Research highlights

Estimates soil loss by water for the first time at basin scale in the Chambal river basin (mean rate 1.17 t/ha/yr) by integrating Google Earth Engine and GIS employing RUSLE.
Provides insight into the spatial pattern and status of soil erosion in the study area.
Reveals very severe type of soil erosion in the areas of gullies/ravines with the highest mean rate 13.44 t/ha/yr and 5.92 t/ha/yr, respectively.
LS factor is the most influential factor in the study area, followed by C factor.
Prioritises Kali Sindh, Lower Chambal, Upper Chambal and Parbati catchments for soil conservation efforts based on much higher soil loss.

中文翻译：

使用 Google 地球引擎和 GIS 进行流域尺度土壤侵蚀风险评估：印度中部尚巴尔河流域的案例研究

摘要

在这项研究中，已使用 Google 地球引擎和地理信息系统平台使用修订后的通用土壤流失方程 (RUSLE) 估算了尚巴尔河流域 (CHB) 的水土流失。谷歌地球引擎是一个基于云的平台，已被用于从海量的卫星遥感数据中生成土地利用/土地覆盖图。在 CHB 中观测到的平均土壤侵蚀率为 1.17 吨/公顷/年。研究表明，昌巴尔河流域土壤侵蚀类型非常严重，主要集中在沟壑/沟壑和荒地，沟壑区平均土壤侵蚀速率最高，为13.44吨/公顷/年。流域土壤流失估计表明，与其他流域相比，卡利信德、下昌巴尔、上昌巴尔和帕尔巴蒂这四个流域的土壤流失情况要高得多；因此，这些流域被优先用于土壤保护工作。对各因素及其交互作用的敏感性分析表明，LS因素是研究区内影响最大的因素，其次是C因素。