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Remote Sensing in Natural Resource and Water Environment II
This special issue belongs to the section “Environmental Remote Sensing“.
Special Issue Information
Dear Colleagues,
The second volume of “Remote Sensing in Natural Resource and Water Environment” aims to continue addressing the challenges faced by natural resources and water environments due to human-generated pollutants. The growing population and increasing risk of pollution have made effective water resource management more important than ever before. To ensure sustainable development, it is crucial to monitor environmental parameters, evaluate the quality of the environment, and predict the dynamics of environmental elements accurately. Remote sensing technology provides a new perspective on hydrological monitoring, water resource ecological protection, and water resource planning and utilization due to its fast detection capacity, wide spatial coverage, and multiple spectral characteristics.
This Special Issue seeks to publish innovative research that utilizes remote sensing techniques in the field of hydrological and water pollution. Specifically, this volume aims to highlight recent advances in the application of remote sensing technology in identifying and monitoring water quality concerns, such as algal blooms, sedimentation, and eutrophication. Additionally, the Issue will use remote sensing techniques to analyze the impacts of climate change on water resources and assess the effectiveness of various remediation methods.
The objective of this Special Issue is to promote sustainable development by utilizing relevant methods of hydrological and water resource planning and management. Authors are encouraged to submit novel methods and views that utilize remote sensing technologies. Potential topics include, but are not limited to, remote sensing inversion simulation, experience method, and sustainable development, to address the current challenges facing natural resources and water environments.
Prof. Dr. Pingping Luo
Dr. Jiqiang Lyu
Dr. Chunying Wang
Dr. Min Wu
Prof. Dr. Van-Thanh-Van Nguyen
Dr. Pedro Luiz Borges Chaffe
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.
Keywords
- hyperspectral remote sensing in the environment
- retrieving air pollutant concentrations through remote sensing
- machine learning algorithms for modeling based on remote sensing data
- ecological indicators mapping by remote sensing
- urban stormwater models
- hydrologic models
- flood disaster
- water pollution
- wastewater treatment
- water resource management
- urban-rural management
- urban planning
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