Remote Sensing Applications in Monitoring of Protected Areas II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 6844
Special Issue Editors
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
Special Issues, Collections and Topics in MDPI journals
Interests: SAR; InSAR; PSInSAR; geophysical modeling; volcanoes; landslides; geohazards
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology; lake dynamics; water resources; vegetation monitoring; glacier changes; remote sensing; geographic information systems (GIS); Tibetan Plateau; Arctic; Central Asia
Special Issues, Collections and Topics in MDPI journals
Interests: urban remote sensing; urbanization; urban heat island; building energy use; vegetation phenology; climate change impacts, adaptation and vulnerability
Special Issues, Collections and Topics in MDPI journals
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
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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
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