Remote Sensing on Land Surface Albedo
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (10 September 2021) | Viewed by 7566
Special Issue Editors
Interests: sustainable development; spatial statistics; geospatial methods; urban remote sensing; sustainable infrastructure
Special Issues, Collections and Topics in MDPI journals
Interests: environmental geoinformatics (satellite environmental monitoring; water resource research; climate change; geodesy; hydrology; environmental impact assessment and management) and mathematical geosciences (algebra and robust statistics)
Interests: remote sensing of vegetation; land-atmosphere interaction; land surface modeling; carbon cycle; physical modeling of vegetation canopy
Interests: image processing; data fusion; machine learning for understanding remote sensing images; applications to disaster management and environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Land surface albedo is an essential Earth observation variable of the surface radiation budget and energy balance. It has been widely applied in characterizing spatiotemporal patterns of land use change, surface temperature, vegetation, soil, built-up surface, and urban microclimate and environment. Diverse global and regional remote sensing products with multiple spatial and temporal resolutions are available for monitoring land surface albedo, such as MODIS, MISR, AVHRR, Landsat, MSG, and Meteosat. The land surface albedo can also be estimated with images acquired by unmanned aerial vehicles (UAV). Studies of the land surface albedo generally include three categories: data acquisition, assessment of products, and applications. Knowledge of land surface albedo has been increasingly accumulated in recent years, but there are still challenges and new problems for the three categories of studies.
The aim of this Special Issue is to present latest research of applying land surface albedo in addressing the urban, climate, environmental, and social challenges. The Special Issue also encourages studies that integrate new technologies and methods to acquire more accurate and efficient data at various spatial scales.
Dr. Yongze Song
Prof. Dr. Joseph Awange
Dr. Chi Chen
Dr. Naoto Yokoya
Guest Editors
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Keywords
- Land surface albedo
- Bidirectional reflectance distribution function (BRDF)
- Coupled land–atmosphere interaction
- Microclimate and environment
- Climate change
- Urban land surface
- Urbanization
- Land use/land cover change
- Deep learning/machine learning
- Land surface albedo product validation
- Land surface albedo data acquisition
- High-resolution land surface albedo
- Long term land surface albedo
- Spatiotemporal variations
- UAV-based land surface albedo
- Spatial accuracy and uncertainty
- Spatial patterns
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