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Advances in Remote Sensing for Forestry Theory, Methods, Applications, and Validation

Av: Medverkande: Materialtyp: ArtikelUtgivningsinformation: CH MDPI - Multidisciplinary Digital Publishing Institute 2026Beskrivning: 1 electronic resource (254 p.)Innehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783725867004
  • 9783725867011
Ämnen: Onlineresurser: Sammanfattning: As one of the biggest terrestrial ecosystems, forests play an important role in ecosystem services, biodiversity conservation, and climate change mitigation. They are widely acknowledged as one of the largest terrestrial carbon pools. Forests absorb atmospheric CO2 through photosynthesis and remove a huge amount of carbon every year, and play an important role in the global carbon cycle and climate system. This Reprint on "Advances in Remote Sensing for Forestry: Theory, Methods, Applications and Validation" list several research on new theories and methods for forest survey and monitoring, applications of remote sensing on forest ecosystem services evaluation, biodiversity monitoring, and technologies for monitoring carbon sinks in forest ecosystems. It is hoped that the related works will provide valuable references for promoting the application of remote sensing technologies in forestry.
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As one of the biggest terrestrial ecosystems, forests play an important role in ecosystem services, biodiversity conservation, and climate change mitigation. They are widely acknowledged as one of the largest terrestrial carbon pools. Forests absorb atmospheric CO2 through photosynthesis and remove a huge amount of carbon every year, and play an important role in the global carbon cycle and climate system. This Reprint on "Advances in Remote Sensing for Forestry: Theory, Methods, Applications and Validation" list several research on new theories and methods for forest survey and monitoring, applications of remote sensing on forest ecosystem services evaluation, biodiversity monitoring, and technologies for monitoring carbon sinks in forest ecosystems. It is hoped that the related works will provide valuable references for promoting the application of remote sensing technologies in forestry.

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