Dynamic Modelling of Water and Wind Erosion in Australia over the Past Two Decades

Soil erosion caused by water and wind is a complicated natural process that has been accelerated by human activity. It results in increasing areas of land degradation, which further threaten the productive potential of landscapes. Consistent and continuous erosion monitoring will help identify the l...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-11, Vol.14 (21), p.5437
Main Authors: Zhang, Mingxi, Viscarra Rossel, Raphael A., Zhu, Qinggaozi, Leys, John, Gray, Jonathan M., Yu, Qiang, Yang, Xihua
Format: Article
Language:English
Subjects:
Approximation
Climate change
Datasets
Dynamic models
earth observation big data
Google Earth engine
Human influences
Land degradation
Land management
Land use planning
Performance evaluation
Precipitation
Productivity
Rain
Rainfall
Remote sensing
Sedimentation & deposition
Soil conditions
Soil erosion
Soil improvement
Soil water
Sustainability management
Vegetation
water and wind erosion
Water erosion
Wind erosion
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Summary:Soil erosion caused by water and wind is a complicated natural process that has been accelerated by human activity. It results in increasing areas of land degradation, which further threaten the productive potential of landscapes. Consistent and continuous erosion monitoring will help identify the location, magnitude, and trends of soil erosion. This information can then be used to evaluate the impact of land management practices and inform programs that aim to improve soil conditions. In this study, we applied the Revised Universal Soil Loss Equation (RUSLE) and the Revised Wind Erosion Equation (RWEQ) to simulate water and wind erosion dynamics. With the emerging earth observation big data, we estimated the monthly and annual water erosion (with a resolution of 90 m) and wind erosion (at 1 km) from 2001 to 2020. We evaluated the performance of three gridded precipitation products (SILO, GPM, and TRMM) for monthly rainfall erosivity estimation using ground-based rainfall. For model validation, water erosion products were compared with existing products and wind erosion results were verified with observations. The datasets we developed are particularly useful for identifying finer-scale erosion dynamics, where more sustainable land management practices should be encouraged.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14215437