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Land
Special Issues
Monitoring and Simulation of Wetland Ecological Processes (Second Edition)
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Monitoring and Simulation of Wetland Ecological Processes (Second Edition)

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Landscape Ecology".

Deadline for manuscript submissions: 3 April 2025 | Viewed by 591

Special Issue Editors

Prof. Dr. Zhenguo Niu

E-Mail Website
Guest Editor
Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100101, China
Interests: wetland remote sensing; wetland biodiversity mapping; assessment of wetland protection
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Bin Zhao

E-Mail Website
Guest Editor
Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, and Institute of Eco-Chongming (IEC), Fudan University, Shanghai 200438, China
Interests: remote sensing of environment; big data; naturalism education & citizen science development; meta-ecosystems & watershed ecology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhaoqing Luan

E-Mail Website
Guest Editor
College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
Interests: wetland ecohydrology; monitoring and modeling; ecological restoration of degraded wetland ecosystems; assessment of ecological services of the wetland ecosystem
Special Issues, Collections and Topics in MDPI journals
Dr. Bo Guan

E-Mail Website
Guest Editor
The Institute for Advanced Study of Coastal Ecology, Ludong University, Yantai 264025, China
Interests: coastal wetland ecology; greenhouse and field experiments; the coastal wetland ecosystem process under water and salt stress; effective restoration technology design from a biological aspect for degenerated wetland
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wetlands are globally diverse ecosystems that occur between terrestrial and aquatic environments. Wetlands provide various ecological services, such as flood attenuation, coastline protection, water purification, and carbon regulation. Due to human disturbances and climate change, wetlands worldwide have been suffering from serious degradation. The monitoring and simulation of wetland ecological processes is helpful to better evaluate the evolution of ecosystems (positive or negative) and carry out corresponding protection and management countermeasures.

In this Special Issue, we encourage contributions that aim to build a better understanding of how wetlands respond to water level fluctuation, precipitation, eutrophication, land use changes, invasion of alien species, storms, and so on. Different kinds of research findings from field experiments (multiple sites), large-scale transect surveys and combined with remote sensing products are welcome.

Prof. Dr. Zhenguo Niu
Prof. Dr. Bin Zhao
Prof. Dr. Zhaoqing Luan
Dr. Bo Guan
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. Land is an international peer-reviewed open access monthly 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 2600 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

  • wetland mapping
  • wetland landscape and functions
  • biodiversity monitoring
  • wetland connectivity
  • assessment
  • carbon sink
  • land-use sustainability
  • simulation of wetland geochemical cycle models
  • monitoring of wetland restoration

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Related Special Issue

Published Papers (1 paper)

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Research

25 pages, 24770 KiB  
Article
Wetlands Mapping and Monitoring with Long-Term Time Series Satellite Data Based on Google Earth Engine, Random Forest, and Feature Optimization: A Case Study in Gansu Province, China
by Jian Zhang, Xiaoqian Liu, Yao Qin, Yaoyuan Fan and Shuqian Cheng
Land 2024, 13(9), 1527; https://doi.org/10.3390/land13091527 - 20 Sep 2024
Viewed by 500
Abstract
Given global climate change and rapid land cover changes due to human activities, accurately identifying, extracting, and monitoring the long-term evolution of wetland resources is profoundly significant, particularly in areas with fragile ecological conditions. Gansu Province, located in northwest China, contains all wetland [...] Read more.
Given global climate change and rapid land cover changes due to human activities, accurately identifying, extracting, and monitoring the long-term evolution of wetland resources is profoundly significant, particularly in areas with fragile ecological conditions. Gansu Province, located in northwest China, contains all wetland types except coastal wetlands. The complexity of its wetland types has resulted in a lack of accurate and comprehensive information on wetland changes. Using Gansu Province as a case study, we employed the GEE platform and Landsat time-series satellite data, combining high-quality sample datasets with feature-optimized multi-source feature sets. The random forest algorithm was utilized to create wetland classification maps for Gansu Province across eight periods from 1987 to 2020 at a 30 m resolution and to quantify changes in wetland area and type. The results showed that the wetland mapping method achieved robust classification results, with an average overall accuracy (OA) of 96.0% and a kappa coefficient of 0.954 across all years. The marsh type exhibited the highest average user accuracy (UA) and producer accuracy (PA), at 96.4% and 95.2%, respectively. Multi-source feature aggregation and feature optimization effectively improve classification accuracy. Topographic and seasonal features were identified as the most important for wetland extraction, while textural features were the least important. By 2020, the total wetland area in Gansu Province was 10,575.49 km2, a decrease of 4536.86 km2 compared to 1987. The area of marshes decreased the most, primarily converting into grasslands and forests. River, lake, and constructed wetland types generally exhibited an increasing trend with fluctuations. This study provides technical support for wetland ecological protection in Gansu Province and offers a reference for wetland mapping, monitoring, and sustainable development in arid and semi-arid regions. Full article
(This article belongs to the Special Issue Monitoring and Simulation of Wetland Ecological Processes (Second Edition))
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