Special Issue "Understanding Biosphere-Atmosphere Interactions with Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 11130
Special Issue Editors

Interests: atmospheric boundary layer processes; biosphere-atmosphere interactions; micrometeorology; remote sensing

Interests: water cycle and water resources; land surface process; remote sensing; modeling
Special Issue Information
Dear Colleagues,
Remote sensing observations are critical to elucidate the fundamental physical, chemical, and biological processes needed to quantify biosphere–atmospheric interactions from local to global scales. Significant progress in the development and advances in remote sensing techniques, such as, light detection and ranging (LiDAR), thermal infrared (TIR), multispectral, hyperspectral and solar-induced chlorophyll fluorescence (SIF) sensors capable of unprecedented spectral and spatiotemporal resolution, offer new insights into the quantitative remote sensing of the biosphere. We invite manuscripts from original research that synthesizes and advances our understanding of the energy, water, carbon, and trace gas exchange processes, drivers, coupling, interactions, teleconnections, and feedbacks in the biosphere-atmosphere interface across all spatial and temporal scales. Contributions dealing with remote sensing technologies and applications of passive or active sensors onboard any platforms including ground/airborne/UAV/satellite or its combinations with modeling efforts or reanalysis are welcome.
Potential topics include but are not limited to:
- Surface radiation, energy, water, and trace gas processes and interactions:
- Biophysical and biochemical processes;
- Ecosystem structure and function and its role in carbon-water coupling;
- Vegetation physiological function and dynamics;
- Controls on biosphere-atmosphere interactions;
- Seasonal to interannual variability ;
- Natural and anthropogenic disturbances, extreme events ;
- Boundary-layer processes;
- Validation of remote sensing products from data from multiple platforms;
- New methods and algorithms;
- Scaling issues;
- Multiple earth observation (EO) data integrations;
- Field campaigns using active and/or passive remote sensing.
Dr. Praveena Krishnan
Dr. Shusen Wang
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 2500 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
- Biosphere-atmosphere interactions
- Surface fluxes
- Carbon and water cycles
- Biophysical and biochemical process
- Vegetation physiological function
- Biometeorology
- Land surface change
- Climate variability