Reprint

Remote Sensing of Savannas and Woodlands

Edited by
September 2021
286 pages
  • ISBN978-3-0365-1957-9 (Hardback)
  • ISBN978-3-0365-1956-2 (PDF)

This book is a reprint of the Special Issue Remote Sensing of Savannas and Woodlands that was published in

Engineering
Environmental & Earth Sciences
Summary

Savannas and woodlands are one of the most challenging targets for remote sensing. This book provides a current snapshot of the geographical focus and application of the latest sensors and sensor combinations in savannas and woodlands. It includes feature articles on terrestrial laser scanning and on the application of remote sensing to characterization of vegetation dynamics in the Mato Grosso, Cerrado and Caatinga of Brazil. It also contains studies focussed on savannas in Europe, North America, Africa and Australia. It should be important reading for environmental practitioners and scientists globally who are concerned with the sustainability of the global savanna and woodland biome.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
Savanna; alternative stable states; MODIS VCF; land surface temperature; albedo; Cerrado; Amazon; vegetation type; optical; sar; synergism; mapping; savanna; post oak; vegetation index; ecosystem function; phenology; encroachment; evergreen; deciduous; vegetation; grassland; savanna; fractional cover; trend; ecoregion; bare soil; livestock; production systems; remote sensing; vegetation dynamics; vegetation persistence; conservation; savannas; Africa; vegetation indices; oak-grass savanna; phenology; hydrology; Sentinel-2; Cerrado; land cover; grasslands; forests; monitoring; random forest; spectral indexes; vegetation seasonality; aboveground biomass; Cerrado ecosystem; random forest; SAR; allometry; biomass; carbon; cost-effective; LiDAR; TLS; plant water availability; tree phenology; phenocams; Sentinel-2; MODIS; biomass; carbon; LiDAR; TLS; terrestrial laser scanning (TLS); savanna; Above Ground Biomass (AGB); 3D point cloud; vegetation structure; n/a

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