Assessment of SoilGrids data for soil erosion estimation at watershed scale:A case study in northern Thailand

作     者：Chike Onyeka MADUEKE Dhruba Pikha SHRESTHA Panagiotis NYKTAS 

作者机构：Department of Natural Resources Faculty of Geo-information Science and Earth Observation (ITC) University of Twente Department of Soil Science and Land Resources Management Nnamdi Azikiwe University Department of Applied Earth Sciences Faculty of Geo-information Science and Earth Observation (ITC) University of Twente 

出 版 物：《Pedosphere》 (土壤圈(英文版))

年 卷 期：2024年第34卷第4期

页      面：797-813页

核心收录：

学科分类：082802[工学-农业水土工程] 090707[农学-水土保持与荒漠化防治] 0907[农学-林学] 08[工学] 0828[工学-农业工程] 09[农学] 0815[工学-水利工程] 

基　　金：National Aeronautics and Space Administration Postdoctoral Program, NPP Asian Institute of Technology, AIT Naresuan University, NU 

主　　题：field-based soil data hillslope modeling pedo-transfer functions similarity assessment soil erosion modelling 

摘      要：Soil erosion has been identified as one of the most destructive forms of land degradation, posing a threat to the sustainability of global economic, social and environmental systems. This underscores the need for sustainable land management that takes erosion control and prevention into consideration. This requires the use of state-of-the-art erosion prediction models. The models often require extensive input of detailed spatial and temporal data, some of which are not readily available in many developing countries, particularly detailed soil data. The soil dataset Global Gridded Soil Information(SoilGrids) could potentially fill the data gap. Nevertheless, its value and accuracy for soil erosion modelling in the humid tropics is still unknown, necessitating the need to assess its value vis-à-vis field-based data. The major objective of this study was to conduct a comparative assessment of the value of SoilGrids and field-based soil data for estimating soil loss. Soil samples were collected from five physiographic positions(summit, shoulder, back slope, foot slope, and toe slope) using the soil catena approach. Samples were collected using a 5-cm steel sample ring(undisturbed) and a spade(disturbed). Data of the landform, predominant vegetation types, canopy cover, average plant height, land use, soil depth, shear strength, and soil color were recorded for each site. The soil samples were subjected to laboratory analysis for saturated hydraulic conductivity, bulk density, particle size distribution, and organic matter content. Pedotransfer functions were applied on the SoilGrids and field-based data to generate soil hydrological properties. The resultant field-based data were compared with the SoilGrids data for corresponding points/areas to determine the potential similarities of the two datasets. Both datasets were then used as inputs for soil erosion assessment using the revised Morgan-Morgan-Finney model. The results from both datasets were again compared to det