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Remote Sensing Applications in Monitoring of Protected Areas II

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

Deadline for manuscript submissions: 30 September 2024 | Viewed by 2869

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Special Issue Editors

Prof. Dr. Yeqiao Wang

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Guest Editor

Department of Natural Resources Science, University of Rhode Island, 1 Greenhouse Road, Kingston, RI 02881, USA
Interests: terrestrial remote sensing; protected areas; coastal environments; wetlands; mangrove; inventory and monitoring of ecological conditions; land use and land cover change; biodiversity conservation; mountainous regions; decision support
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Prof. Dr. Zhong Lu

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Guest Editor

Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA
Interests: SAR; InSAR; PSInSAR; geophysical modeling; volcanoes; landslides; geohazards
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Prof. Dr. Yongwei Sheng

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Guest Editor

Department of Geography, University of California, Los Angeles (UCLA), P.O. Box 951524, 1255 Bunche Hall, Los Angeles, CA 90095, USA
Interests: hydrology; lake dynamics; water resources; vegetation monitoring; glacier changes; remote sensing; geographic information systems (GIS); Tibetan Plateau; Arctic; Central Asia
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Prof. Dr. Yuyu Zhou

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Guest Editor

Department of Geography, The University of Hong Kong, Hong Kong, China
Interests: urban remote sensing; urbanization; urban heat island; building energy use; vegetation phenology; climate change impacts, adaptation and vulnerability
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Special Issue Information

Dear Colleagues,

Remote sensing has been successfully applied in the inventory and monitoring of protected areas around the world. Protected areas include national parks, national forests, all levels of natural preserves and designated areas for the conservation of biological diversity and cultural and natural significance. Protected areas also include frontier and wilderness areas that are among the treasures of the natural world. Some protected areas are the only places on the planet that contain undisturbed landscapes and ecosystems. Along coasts and across oceans, protected areas include national seashores and marine protected areas that encompass intertidal or subtidal terrain, together with their overlying water and associated flora, fauna, historical and cultural features. With intensified impacts of climate and environmental change, protected areas are becoming more important in terms of serving as indicators of ecosystem status and function. In December 2022, United Nation’s Biodiversity Conference (COP15) adopted the global biodiversity framework with measures for the protection of 30% of terrestrial and marine ecosystems by 2030. Remote sensing plays an essential and irreplaceable role in addressing those challenges.

With the rapid development of remote sensing science and technologies, this Special Issue aims to publish original manuscripts on the latest innovative research and advancement in the remote sensing of protected areas. Comprehensive reviews of this research field are also welcome. Potential topics include, but are not limited to, the following:

State-of-the-art remote sensing technologies to capture the dynamics of ecosystem variations;
Evaluations of newly available sensors, data, and new development of integrated approaches;
Methods for processing advanced remote sensing and time series data;
Integration of multisource and open source data, such as from in situ measurements, UAV observations, habitat assessments, social economic development, policy factors, and citizen science in inventory and monitoring practices;
Applications of remote sensing in topics such as biospheric, atmospheric, hydrospheric and societal dimensions of protected areas, habitat mapping and biodiversity conservation, impacts of climate change, detection of effects from extreme natural and anthropogenic disturbances, and uncertainty, mitigation, resilience and sustainability of protected areas under changing environments.

Prof. Dr. Yeqiao Wang
Prof. Dr. Zhong Lu
Prof. Dr. Yongwei Sheng
Prof. Dr. Yuyu Zhou
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

protected areas
new sensor applications
dynamic simulation modeling
climate change
ecosystem functions and services
biodiversity conservation
resilience and sustainability
natural hazards and human disturbances
socio-economic indicators
governance, management and decision support

Published Papers (2 papers)

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Research

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22 pages, 10754 KiB

Open AccessArticle

Evolution of Wetland Patterns and Key Driving Forces in China’s Drylands

by Xiaolan Wu, Hui Zhao, Meihong Wang, Quanzhi Yuan, Zhaojie Chen, Shizhong Jiang and Wei Deng

Remote Sens. 2024, 16(4), 702; https://doi.org/10.3390/rs16040702 - 17 Feb 2024

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Abstract

Wetlands within dryland regions are highly sensitive to climate change and human activities. Based on three types of land use data sources from satellite images and a spatial data analysis, the spatiotemporal characteristics of wetland evolution in China’s drylands and their relationship with human interference and climate change from 1990 to 2020 were analyzed. The results were as follows: (1) The wetlands within China’s drylands expanded, including rivers, lakes, and artificial wetlands, apart from marshes, which shrunk. Meanwhile, wetland fragmentation increased, with rivers being particularly severely fragmented. (2) Temperature and precipitation showed an increasing trend from 1990 to 2020 in China’s drylands. Lakes and rivers expanded with regional differences due to the uneven distribution of precipitation and rising temperature. (3) Human activities, more than climate change, became the key driving factor for the changes in wetland patterns in China’s drylands. The increased areas of farmland and grassland along with increased levels of drainage and irrigation activities led to the shrinkage of marshes and the fragmentation of rivers. The increase in the number of artificial reservoirs was the main reason for the expansion of artificial wetlands. This study clarifies the specific driving factors of different types of wetlands within China’s drylands, which is of great use for better protecting wetlands and the gradual restoration of degraded wetlands. Full article

(This article belongs to the Special Issue Remote Sensing Applications in Monitoring of Protected Areas II)

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Review

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73 pages, 3391 KiB

Open AccessReview

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

by Rosa Maria Cavalli

Remote Sens. 2024, 16(3), 446; https://doi.org/10.3390/rs16030446 - 23 Jan 2024

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Abstract

Since 1971, remote sensing techniques have been used to map and monitor phenomena and parameters of the coastal zone. However, updated reviews have only considered one phenomenon, parameter, remote data source, platform, or geographic region. No review has offered an updated overview of coastal phenomena and parameters that can be accurately mapped and monitored with remote data. This systematic review was performed to achieve this purpose. A total of 15,141 papers published from January 2021 to June 2023 were identified. The 1475 most cited papers were screened, and 502 eligible papers were included. The Web of Science and Scopus databases were searched using all possible combinations between two groups of keywords: all geographical names in coastal areas and all remote data and platforms. The systematic review demonstrated that, to date, many coastal phenomena (103) and parameters (39) can be mapped and monitored using remote data (e.g., coastline and land use and land cover changes, climate change, and coastal urban sprawl). Moreover, the authors validated 91% of the retrieved parameters, retrieved from remote data 39 parameters that were mapped or monitored 1158 times (88% of the parameters were combined together with other parameters), monitored 75% of the parameters over time, and retrieved 69% of the parameters from several remote data and compared the results with each other and with available products. They obtained 48% of the parameters using different methods, and their results were compared with each other and with available products. They combined 17% of the parameters that were retrieved with GIS and model techniques. In conclusion, the authors addressed the requirements needed to more effectively analyze coastal phenomena and parameters employing integrated approaches: they retrieved the parameters from different remote data, merged different data and parameters, compared different methods, and combined different techniques. Full article

(This article belongs to the Special Issue Remote Sensing Applications in Monitoring of Protected Areas II)

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