Special Issue "Remote Sensing on Land Surface Albedo"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 10 September 2021.

Special Issue Editors

Dr. Yongze Song
Website
Guest Editor
School of Design and the Built Environment, Curtin University, Perth, Australia
Interests: GIS; spatial statistics; big data; sustainable infrastructure; smart city; remote sensing
Prof. Dr. Joseph Awange
Website
Guest Editor
School of Earth and Planetary Sciences, Curtin University, Perth, Australia
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)
Dr. Chi Chen
Website
Guest Editor
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Interests: remote sensing of vegetation; land-atmosphere interaction; land surface modeling; carbon cycle; physical modeling of vegetation canopy

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

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 papers will be 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 2400 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

  • 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

Published Papers

This special issue is now open for submission.
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