Remote Sensing for Soil and Water Conservation and Sustainable Development in the Context of Climate Change

Dear Colleagues,

The interplay between soil, water, and environmental resources is crucial for sustaining ecosystems and human livelihoods, especially against the backdrop of climate change. Remote sensing technologies have emerged as powerful tools to monitor and analyze these interactions at various scales, providing critical insights into the effectiveness of conservation practices and resource management strategies. This Special Issue seeks to delve into the role of remote sensing in understanding and addressing the challenges posed by climate change on soil and water conservation, natural resource management, and overall environmental health. We aim to gather innovative research that demonstrates the capabilities of remote sensing in assessing, planning, and implementing effective responses to climate-related impacts.

We invite original research articles, reviews, and case studies that focus on the integration of remote sensing techniques in studying soil and water conservation, resources, and environmental dynamics in the context of climate change. Papers that highlight interdisciplinary approaches and novel methodologies are especially welcome.

Potential topics include, but are not limited to:

1. Remote sensing methodologies for monitoring soil and water conservation practices;
2. Impacts of climate change and human activities on soil health and water resources;
3. The role of remote sensing in policy formulation and implementation for soil and water resource management;
4. Studies showcasing successful applications of remote sensing in addressing climate change challenges;
5. Terrestrial ecosystem/net primary productivity of vegetation;
6. Impacts of human land use management on desert environment/land degradation;
7. Land degradation and rehabilitation based on intelligent geo-computing;
8. Lake/river ice phenology dynamics monitoring/impacts of climate change on lake/river ice phenology;
9. Non-optically active water parameters (e.g., phosphorus and nitrogen) algorithm development and dynamic monitoring;
10. Machine/deep learning algorithm for remote sensing applications;
11. Large or foundation models for a developed understanding of remote sensing imagery.

Dr. Shaohua Lei
Prof. Dr. Xiaojun Wang
Prof. Dr. Guoqing Wang
Dr. Shuai Zeng
Dr. Yongjian Ruan
Prof. Dr. Xianghui Lu
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.