<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Soil erosion monitoring is essential for the ecological evaluation and dynamic monitoring of land resources via remote sensing technology. In this paper, we provide new insights into the existing problems and development directions of traditional models, which are supported by new technologies. An important role is played by remote sensing information acquisition technology in the qualitative and quantitative evaluation of soil erosion, and the data and technical support provided are systematically reviewed. We provide a detailed overview of the research progress associated with empirical statistical models and physically driven process models of soil erosion, and the limitations of their application are also summarized. The preliminary integration of remote sensing data sources with high spatial and temporal resolution and new technologies for soil erosion monitoring enables the high-precision quantitative estimation of sediment transport trajectories, the watershed river network density, and the terrain slope, enhancing the accuracy of erosion factor identification, such as spectral feature recognition from erosion information, gully erosion feature extraction, and vegetation coverage estimation. However, the current erosion models, driven by algorithms and models, are not comprehensive enough, particularly in terms of the spatial feature extraction of erosion information, and there are limitations in the applicability and accurate estimation of such models.</p>
</abstract>

Soil erosion monitoring is essential for the ecological evaluation and dynamic monitoring of land resources via remote sensing technology. In this paper, we provide new insights into the existing problems and development directions of traditional models, which are supported by new technologies. An important role is played by remote sensing information acquisition technology in the qualitative and quantitative evaluation of soil erosion, and the data and technical support provided are systematically reviewed. We provide a detailed overview of the research progress associated with empirical statistical models and physically driven process models of soil erosion, and the limitations of their application are also summarized. The preliminary integration of remote sensing data sources with high spatial and temporal resolution and new technologies for soil erosion monitoring enables the high-precision quantitative estimation of sediment transport trajectories, the watershed river network density, and the terrain slope, enhancing the accuracy of erosion factor identification, such as spectral feature recognition from erosion information, gully erosion feature extraction, and vegetation coverage estimation. However, the current erosion models, driven by algorithms and models, are not comprehensive enough, particularly in terms of the spatial feature extraction of erosion information, and there are limitations in the applicability and accurate estimation of such models.

A review of the satellite remote sensing techniques for assessment of runoff and sediment in soil erosion

Schoolof Smart City, Chongqing Jiaotong University

Journal of Hydrology and Hydromechanics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Soil erosion monitoring is essential for the ecological evaluation and dynamic monitoring of land resources via remote sensing technology. In this paper, we...

A review of the satellite remote sensing techniques for assessment of runoff and sediment in soil erosion

Online veröffentlicht: 09. Mai 2024

Seitenbereich: 252 - 267

Eingereicht: 21. Dez. 2023

Akzeptiert: 12. März 2024

DOI: https://doi.org/10.2478/johh-2024-0009

Schlüsselwörter
Remote sensing, Soil erosion, Qualitative monitoring, Quantitative model, Research progress

© 2024 Cuicui Ji et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A review of the satellite remote sensing techniques for assessment of runoff and sediment in soil erosion

Online veröffentlicht: 09. Mai 2024

Seitenbereich: 252 - 267

Eingereicht: 21. Dez. 2023

Akzeptiert: 12. März 2024

DOI: https://doi.org/10.2478/johh-2024-0009

SchlüsselwörterRemote sensing, Soil erosion, Qualitative monitoring, Quantitative model, Research progress

© 2024 Cuicui Ji et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Remote sensing, Soil erosion, Qualitative monitoring, Quantitative model, Research progress