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Assessment of Ecosystem Services Based on Satellite Data

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing and Geo-Spatial Science".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 1259

Special Issue Editors

State Key Laboratory of Hydrology-Water Resources and Hydraulics Engineering, Hohai University, Nanjing 210098, China
Interests: remote sensing and GIS applications; hydrological modeling; statistical downscaling; climate change and land use/land cover change impact on water resources
Special Issues, Collections and Topics in MDPI journals
Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Kowloon, Hong Kon, China
Interests: land use; remote sensing and GIS; landsat; landscape change; geographic information system; remote sensing; vegetation; land use change; earth sciences; ArcGISS; patial analysis

Special Issue Information

Dear Colleagues,

Ecosystem services are essential to the functioning of our planet and to human well-being. These services include the provision of clean air and water, food, fiber, and fuel, as well as the regulation of climate, disease, and nutrient cycling. Satellite data provide a valuable tool for assessing and monitoring ecosystem services over vast areas and through time. This Special Issue seeks to showcase the latest research in the assessment of ecosystem services based on satellite data.

Special attention is prescribed to ecosystem service assessment and its relation to ecohydrology. Ecohydrology is the study of the interactions between hydrological processes and ecological systems. Assessing ecosystem services from an ecohydrological perspective involves quantifying how water-related processes, such as infiltration, evapotranspiration, and runoff, affect the provision of ecosystem services. Remote sensing can provide data on vegetation cover, land use, and hydrological variables, which are essential for ecohydrological assessments of ecosystem services.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • Applications of remote sensing data for mapping and monitoring ecosystem services;
  • Assessment of changes in ecosystem services over time using satellite data;
  • Use of satellite data for modeling and predicting ecosystem services;
  • Integration of satellite data with other data sources for ecosystem service assessments;
  • Case studies demonstrating the use of satellite data in ecosystem service assessments;
  • Development and validation of satellite-based methods for assessing ecosystem services;
  • Integration of satellite data with hydrological and ecological models;
  • Assessing the impacts of climate change and land use/land cover change on ecosystem services using satellite data;
  • Applications of ecohydrological concepts to the assessment of ecosystem services;
  • Case studies on the assessment of ecosystem services in various regions and ecosystems using satellite data;
  • Monitoring of marine and lake water environment changes using remote sensing data;
  • Papers that present innovative approaches, methods, or technologies for the assessment of ecosystem services are especially welcome.

We welcome original research papers, reviews, and perspectives that contribute to our understanding of the assessment of ecosystem services based on satellite data. All submitted papers will undergo rigorous peer review to ensure their high scientific quality and relevance to the Special Issue.

We look forward to receiving your submissions and to the publication of this Special Issue on Assessment of Ecosystem Services Based on Satellite Data.

Prof. Dr. Zengxin Zhang
Dr. Zheng Duan
Dr. Komal Choudhary
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 technique/technology
  • satellite remote sensing
  • ecosystem services
  • land use/land cover
  • climate change
  • vegetation degradation/ restoration
  • carbon fixation and oxygen release
  • soil and water conservation
  • water conservation
  • ecological service value assessment
  • ecological modelling
  • hydrological modelling

Published Papers (1 paper)

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Research

17 pages, 18298 KiB  
Article
All-Weather Monitoring of Ulva prolifera in the Yellow Sea Based on Sentinel-1, Sentinel-3, and NPP Satellite Data
by Chuan Li, Xiangyu Zhu, Xuwen Li, Sheng Jiang, Hao Shi, Yue Zhang, Bing Chen, Zhiwei Ge and Lingfeng Mao
Remote Sens. 2023, 15(24), 5772; https://doi.org/10.3390/rs15245772 - 18 Dec 2023
Viewed by 681
Abstract
Ulva prolifera (U. prolifera), a global eco-environmental issue, has been recurring annually in the Yellow Sea of China since 2007, leading to significant impacts on the coastal ecosystem and the economies of coastal cities. To enhance the frequency of daily monitoring [...] Read more.
Ulva prolifera (U. prolifera), a global eco-environmental issue, has been recurring annually in the Yellow Sea of China since 2007, leading to significant impacts on the coastal ecosystem and the economies of coastal cities. To enhance the frequency of daily monitoring for U. prolifera and to advance the multi-source remote sensing monitoring system, a combination of the Sentinel-1 SAR remote sensing satellite and the Sentinel-3 OLCI and NPP VIIRS optical remote sensing satellites was employed. This comprehensive analysis encompassed the examination of Sentinel-1 C band characteristics, the range of influence of U. prolifera, and the migration trajectory of its enrichment zones. On 6 June 2021, three satellite images depicted the northwest drift of U. prolifera, followed by a southward movement after making contact with the coast of Qingdao, China, on 12 June. The most extensive impact area caused by U. prolifera was observed on 18 June. Subsequently, the images revealed a contraction and enrichment of U. prolifera in an eas–-west direction. The amalgamation of radar and optical remote sensing satellites in a multi-frequency monitoring approach allows for a continuous all-weather surveillance mechanism for U. prolifera. This mechanism serves to provide timely alerts for the prevention and management of U. prolifera outbreaks. Full article
(This article belongs to the Special Issue Assessment of Ecosystem Services Based on Satellite Data)
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