Remote Sensing Monitoring and Assessment of Forest, Grassland, Wetland and Urban Ecosystem

Dear Colleagues,

Ecosystems play a vital role in maintaining ecological balance and sustaining life on our planet. Forests, grasslands, wetlands, and cities are among the most important and vulnerable ecosystems, facing threats from climate change, land-use changes, and human activities. To effectively manage and protect these ecosystems, comprehensive and accurate monitoring and assessment are essential. Remote sensing technologies have emerged as powerful tools for this purpose, enabling researchers and environmental managers to gather large-scale and high-resolution data for ecosystem analysis.

This Special Issue aims to bring together cutting-edge research in the field of remote sensing and its applications in monitoring and assessing forest, grassland, wetland, and urban ecosystems. The primary focus is on the development and utilization of remote sensing techniques, data, and methodologies to understand ecosystem dynamics, assess environmental health, and provide valuable information for sustainable management. Topics of interest include, but are not limited to, the following:

• The remote sensing retrieval of ecosystem parameters;
• Advancements in remote sensing technologies for ecosystem monitoring;
• Assessment of land cover and land-use changes in forest, grassland, wetland, and urban areas;
• Ecohydrological dynamics and assessment;
• Climate change impact assessments;
• Vegetation health and biomass estimation;
• Wetland mapping and characterization;
• Ecosystem restoration and management strategies;
• The integration of remote sensing with other data sources for comprehensive ecosystem analysis;
• The effects of urbanization on the environment and climate change.

By promoting this Special Issue, we aim to foster collaboration among experts in the field, encourage knowledge exchange, and contribute to the better understanding and preservation of our valuable forest, grassland, wetland, and urban ecosystems.

We invite authors to submit their high-quality contributions to this Special Issue, facilitating the dissemination of innovative research findings and advancements in the realm of remote sensing applied to ecosystem monitoring and assessment. Join us in the endeavor to safeguard these vital ecosystems for current and future generations.

This abstract sets the background for a Special Issue call on the monitoring and assessment of forest, grassland, wetland, and urban ecosystems using remote sensing technologies. It highlights the importance of these ecosystems and the role of remote sensing in their understanding and protection.

Dr. Ronghai Hu
Dr. Xiaoning Song
Dr. Fangcheng Zhou
Dr. Wenchao Han
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.