Remote Sensing of Greening-Browning Trends in Tree-Grass Ecosystems
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 June 2021) | Viewed by 5259
Special Issue Editor
Interests: remote sensing; tree-grass ecosystem conservation; land degradation; biogeophysical effects of vegetation cover change; machine learning
Special Issue Information
Dear Colleagues,
Tree-grass ecosystems (TGE) are mixed woody-herbaceous communities that occupy approximately ~36% of the world’s land area, occurring in all continents (except Antarctica) and in different bioclimatic regions (e.g., tropical, subtropical, and temperate). TGE are widely recognized as multifunctional landscapes, due to their importance in providing several ecosystem services, environmental benefits, and economic commodities. Despite their socioeconomic and environmental relevance, TGE are highly susceptive and sensitive to climate change and human-induced land degradation. This can disrupt key ecological, biogeochemical, and biogeophysical processes, leading to huge modifications in several and crucial tree-grass ecosystems services such as water recycling, food production, biodiversity conservation, and local/regional climate regulation. Therefore, accurately quantifying and assessing TGE vegetation trends is crucial to deeply understand the effects of climate change (e.g., warming, atmospheric CO2 fertilization) and human-induced land degradation (e.g., fire, conversion to agriculture). However, detailed studies specifically focused on greening-browning trend analyses of tree-grass ecosystems at global scale are still scarce within the literature. Recognizing the challenge in using satellite-based data to assess vegetation trends in horizontally and vertically complex ecosystems such as the case of TGE, the Remote Sensing journal invites a broad range of high quality papers focused on the applications and development of remote sensing-based methodologies to assess tree-grass ecosystem condition through the use of greening-browning trend analysis. Submissions on the following topics are invited:
- Long-term greening/browning trend analysis;
- Assessment of greening/browning trends using different sensors (e.g., AVHRR-NDVI, MODIS, Landsat);
- TGE vegetation trend analysis in different bioclimatic regions;
- Comparisons between trend analysis methods and algorithms (e.g., averaging integrated annual or seasonal NDVI values; BFAST, DBEST, EEDM);
- Climate and human drivers of greening/browning trends in TGE;
- Comparisons between NDVI trend analysis and other remote sensing-based products (e.g., sun-induced chlorophyll fluorescence (SIF));
- Identification of the global TGE hotspots in terms of greening/browning trends;
- Impacts of greening/browning trends in biogeochemical and biogeophysical processes;
- Impacts of greening/browning trends in TGE biodiversity conservation;
- Field-based validation studies on greening/browning trends.
Guest Editor
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Keywords
- Tree-grass ecosystems monitoring
- Vegetation greening/browning
- Long-term analysis
- NDVI
- Multisensor
- Degradation
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