Evaluation of Ecological Environment Quality Using Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 72
Special Issue Editors
Interests: remote sensing; ecohydrological processes; glaciers and climate change
Interests: climate change; hydrological model; water resources and surface processes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The assessment of ecological environment quality (EEQ) plays a pivotal role in promoting sustainable development, conserving biodiversity, and safeguarding human well-being. In recent decades, rapid urbanization, climate change, and intensified anthropogenic activities have significantly altered ecosystem dynamics, creating an urgent need for reliable and scalable monitoring tools. Remote sensing has emerged as a vital technology in this domain, offering spatially explicit, temporally continuous, and cost-effective means of evaluating ecological conditions across scales—from local landscapes to global biomes. Advances in multispectral, hyperspectral, thermal, and LiDAR remote sensing, combined with sophisticated data analytics, now enable comprehensive and dynamic assessments of vegetation, water bodies, soil degradation, and atmospheric quality.
This Special Issue aims to gather cutting-edge research on the application of remote sensing technologies for the evaluation, monitoring, and prediction of ecological environment quality. The scope aligns closely with the journal’s mission to promote technological innovation and practical methodologies in environmental remote sensing. We especially encourage submissions that address current challenges such as data integration, uncertainty quantification, and the linkage of remote sensing products with socio-ecological systems and policy frameworks.
Articles may address, but are not limited to, the following topics:
- Evaluation of ecological security;
- Vegetation changes from various remote sensing data sources;
- Carbon cycle and sequestration;
- Response of vegetation to climate change or human activities;
- Monitoring and conservation of arid and semi-arid ecosystems;
- Ecological effect of vegetation change;
- Technological innovations (e.g., remote sensing, modeling, and AI) for monitoring vegetation and ecological changes.
Dr. Qifei Zhang
Dr. Gonghuan Fang
Dr. Shuhua 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 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- remote sensing technology
- ecological environment quality
- vegetation dynamics
- land use/cover change (LUCC)
- ecosystem monitoring
- ecological model
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