Dear Colleagues,

Modern climate change and human activity have a strong impact on terrestrial ecosystems that may lead to changes in ecosystem structure and functioning. Remote sensing is powerful to monitor the terrestrial ecosystems in space and time, analyze land cover and vegetation changes, estimate the surface gross and net primary production, assess greenhouse (GHG) fluxes, etc.

The aim of this Special Issue is to bring together the most recent achievements in the study of water and carbon budgets and GHG fluxes of terrestrial ecosystems in middle and tropical latitudes using remote sensing data. Over recent decades, a number of remote sensing and field studies to estimate the spatial and temporal variability of vegetation properties, to derive the carbon balance of the underlying surface and to retrieve the surface GHG fluxes were conducted. Despite this, a number of very important questions related to, e.g., determining the plant canopy properties and species composition, assessing the spatial and temporal variability of gross and net primary production, ecosystem respiration, quantifying accuracy of carbon budget and GHG flux estimations from remote sensing data, etc., remain open and require new multifaceted studies.

For this Special Issue, we invite scientists working in satellite and Unmanned Aerial Vehicle (UAV) remote sensing, atmospheric physics, forest ecology, mathematical modeling, meteorology, biogeochemistry, ecology to contribute new aggregated remote sensing and field studies of greenhouse fluxes and water and carbon budgets on different spatial scales (from the ecosystem to the global scale).

Contributions may include, but are not limited to, remote sensing studies of vegetation properties, canopy structure, surface carbon budgets and GHG fluxes of terrestrial ecosystems in different spatial scales; the effects of atmospheric hazards on terrestrial ecosystem structure and functioning using remote sensing and in situ data analysis; development of new methods (process-based models, machine learning techniques, etc.) to retrieve the main components of carbon budget and GHG fluxes in terrestrial ecosystems from remote sensing data; spatial forest and wetland assessment and mapping using remote sensing data and techniques; remote sensing and agriculture; etc.

Prof. Dr. Alexander Olchev
Dr. Shamil Maksyutov
Guest Editors

Manuscript Submission Information

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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 2700 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.

• satellite and UVA remote sensing
• GHG flux
• carbon cycle
• terrestrial ecosystems
• multispectral UAV imagery, lidars
• field flux measurements