Remote Sensing of Surface BRDF and Albedo
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: closed (24 December 2024) | Viewed by 4836
Special Issue Editors
Interests: cloud remote sensing; aerosol remote sensing; trace gas remote sensing; snow remote sensing; radiative transfer
Special Issues, Collections and Topics in MDPI journals
Interests: earth observation; image fusion processing; target detection
Interests: quantitative remote sensing; modeling; information extraction
Interests: remote sensing; BRDF and albedo
Interests: atmospheric physics; precipitation; climate modeling; climate variability; fluorescence; nanomaterials; optics and lasers; material characterization; air quality; environment
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; imaging science; photographic technology; geology; environmental sciences; ecology engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Surface albedo is a key parameter in the surface energy balance and has been identified as a primary essential climate variable (ECV) that can be used as a diagnostic tool for local climate change, land cover change, etc. With the rapid development of spaceborne satellite remotely sensed sensors and various airborne and near-ground measurement platforms in recent years, there has been great improvement in the spatial resolution of remotely sensed data, which provides an opportunity to investigate subtle surface albedo change in natural and artificial objects in high-resolution ranging from centimeters to tens of meters. The traditional estimation method of surface albedo usually relies on a bidirectional reflectance distribution function (BRDF) reconstructed from multi-angular reflectance, and a direct estimation method based on prior information has also been developed and widely used. However, previous studies mostly dealt with medium-resolution sensors that can capture multi-angular observations, and high-resolution albedo estimation still meets the challenge of lacking multi-angular measurements. To solve this problem, the new algorithms for multi-angular reflectance and albedo determination using remote sensing data are needed. In addition, unmanned aerial vehicle (UAV) and large-scale radiative transfer simulation models are newly developed practical tools to obtain remotely sensed data at multiple scales, which can also assist theory and algorithm development. This Special Issue aims to bring together research on remote sensing of surface BRDF and albedo regarding algorithms, measurements, simulations, variance analysis, and applications. Original research as well as review articles and short communications with a particular focus on remote sensing of BRDF and albedo of various surfaces including vegetation, soil, snow, ice and oceanic surface are welcome for submission.
Dr. Alexander Kokhanovsky
Dr. Xiaoning Zhang
Prof. Dr. Ziti Jiao
Dr. Hu Zhang
Prof. Dr. Tao He
Dr. Anxin Ding
Guest Editors
Manuscript Submission Information
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Keywords
- BRDF
- albedo
- multi-angle remote sensing
- high resolution
- estimation
- radiative transfer simulation
- UAV
- measurement
- application
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