LEADER 02295oam 2200373 450 001 9910683391803321 005 20240214183639.0 010 $a3-0365-6526-4 035 $a(CKB)5700000000354311 035 $a(NjHacI)995700000000354311 035 $a(EXLCZ)995700000000354311 100 $a20230703d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEarth observation in forest biophysical/biochemical parameter retrieval /$fedited by Prashant K. Srivastava, Ramandeep Kaur M. Malhi, Mukunda Dev Behera, G. Sandhya Kiran, Prem Chandra Pandey, George P. Petropoulos 210 1$aBasel, Switzerland :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (216 pages) 311 0 $a3-0365-6525-6 330 $aThis reprint discusses advancements in forest research using Earth Observation datasets. Forests, which occupy about one-third of the terrestrial surface of Earth, play an indispensable role in monitoring global climate change and ecosystem dynamics. The health of forests has been affected in recent years by various stress factors, such as forest fragmentation and deforestation, biodiversity loss, climate change, invasive species, drought, and unsustainable management. This reprint focuses on the evaluation of different techniques for the retrieval of different biophysical/biochemical parameters using available Earth Observation data. The following topics have been covered in this reprint: Mangrove forest carbon assessment using EO data; Phenological ,etrics of plant species using NDVI time series data; fPAR for diversity relation; Forest/canopy height retrieval using Pol-InSAR modeling; Dominant species discrimination using LiDAR data; Biophysical parameters estimation of young oil palm using UAV. 606 $aEarth sciences$xRemote sensing 606 $aGeology$xRemote sensing 615 0$aEarth sciences$xRemote sensing. 615 0$aGeology$xRemote sensing. 676 $a550.28 702 $aSrivastava$b Prashant K. 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910683391803321 996 $aEarth Observation in Forest Biophysical$93085025 997 $aUNINA