Special Issue "Ecosystem Services with Remote Sensing"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".

Deadline for manuscript submissions: 29 February 2020.

Special Issue Editor

Guest Editor
Dr. Jiangbo Gao Website E-Mail
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
Interests: ecosystem services; trade-offs; land use; remote sensing application; modeling and statistics

Special Issue Information

Dear Colleagues,

Ecosystem services refer to the environmental conditions and utility provided and maintained by ecosystems which humans rely on for survival and development. However, The Millennium Ecosystem Assessment Report highlighted that 60% of key ecosystem service items around the world have deteriorated since the late 20th century, and problems related to regulating services have become more severe. At present, in bridging natural and social systems, ecosystem services are a key research topic in ecology and geography and are receiving significant attention from researchers and scientific organizations.

Currently, the main themes in the field of ecosystem service include quantitative assessment, driving mechanisms, and correlation with human wellbeing. It can be seen that all of these themes, to different extents, rely on the application of remote sensing with the significant advantages of monitoring ecological structure and functions at multi-scales. Further, the quantitative calculation of ecosystem services based on remote sensing can provide a scientific basis for enhancing land use optimization and sustainable development.

This Special Issue aims to disseminate and share findings on national or regional ecosystem service assessment and its environmental stresses using remote sensing data, and the coupling of ecosystem services with human wellbeing. Original research articles or review manuscripts are invited in the following related areas:

  • Ecosystem services and tradeoff/synergy by remote sensing;
  • Driving mechanism of ecosystem services and the determinants from big scientific data;
  • Ecosystem services provision and demand based on remote sensing application;
  • Land use optimization through ecosystem service enhancing.

Dr. Jiangbo Gao
Guest Editor

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 papers will be 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 1800 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

  • Ecosystem services
  • Remote sensing
  • Driving factors and mechanism
  • Services provision and demand
  • Land use optimization

Published Papers (1 paper)

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Research

Open AccessArticle
Multitemporal Remote Sensing Based on an FVC Reference Period Using Sentinel-2 for Monitoring Eichhornia crassipes on a Mediterranean River
Remote Sens. 2019, 11(16), 1856; https://doi.org/10.3390/rs11161856 - 09 Aug 2019
Abstract
Invasive aquatic plants are a serious global ecological and socio-economic problem because they can cause local extinction of native species and alter navigation and fishing. Eichhornia crassipes (water hyacinth) is a dangerous invasive floating plant that is widely distributed throughout the world. In [...] Read more.
Invasive aquatic plants are a serious global ecological and socio-economic problem because they can cause local extinction of native species and alter navigation and fishing. Eichhornia crassipes (water hyacinth) is a dangerous invasive floating plant that is widely distributed throughout the world. In Lebanon, it has spread since 2006 in the Al Kabir River. Remote sensing techniques have been widely developed to detect and monitor dynamics and extents of invasive plants such as water hyacinth over large areas. However, they become challenging to use in narrow areas such as the Al Kabir River and we developed a new image-analysis method to extract water hyacinth areas on the river. The method is based on a time series of a biophysical variable obtained from Sentinel-2 images. After defining a reference period between two growing cycles, we used the fractional vegetation cover (FVC) to estimate the water hyacinth surface area in the river. This method makes it possible to monitor water hyacinth development and estimate the total area it colonizes in the river corridor. This method can help ecologists and other stakeholders to map invasive plants in rivers and improve their control. Full article
(This article belongs to the Special Issue Ecosystem Services with Remote Sensing)
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