Soil Erosion Estimation Based on Remote Sensing Data

Dear Colleagues,

Soil erosion (e.g., hillslope erosion, gully erosion, wind erosion) is a serious problem in many parts of the world, and it is likely to remain so into the foreseeable future. It negatively impacts soil quality, agricultural productivity, water quality and biodiversity. The assessment of soil erosion is useful in planning, conservation, climate adaptation and the development of optimum land management practices in order to reduce or mitigate erosion. Remote sensing data constitute important sources of information for mapping, monitoring, and predicting soil erosion, providing a cost-effective means of investigating soil erosion where there are not accessible territories or direct field methods are expensive.

This Special Issue aims to publish studies covering different uses of remote sensing data to extract useful information for the estimation of soil erosion including water and wind erosion. Multisource data integration studies (e.g., multispectral, thermal, geostationary, satellite rainfall and weather radar data), multiscale approaches, and discussions of a variety of other issues are welcome. We also welcome the submission of manuscripts that investigate the developments and applications of erosion models and algorithms for erosion factors (such as rainfall erosivity, slope-steepness, vegetation cover and management).

Articles may address, but are not limited to, the following topics:

• Spatial monitoring of soil erosion at regional and global scales;
• Geostationary satellites for assessing vegetation, wind erosion and dust storm dynamics;
• Impact of soil erosion on agricultural productivity and economics;
• Multisensor data fusion techniques for vegetation cover and erosion assessment;
• Time-series rainfall erosivity and erosion modelling and the climate impacts;
• Exploitation of remote sensing data for soil erosion estimation (such as LiDAR, Planet, Sentinel-3);
• New algorithms for water and wind erosion estimation or existing erosion model applications;
• Analysis of the soil erosion factors and the spatio-temporal variations;
• Prediction of the rainfall erosivity and erosion risk under current and future climates;
• Explore new technologies and data and the applications in soil erosion modelling;
• Soil conservation scheme and anti-erosion measures.

Dr. Xihua Yang
Prof. Dr. Alfredo Huete
Prof. Dr. Xiaoping Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.