Earth Observation in Forest Biophysical/Biochemical Parameter Retrieval

• Other Authors: Srivastava, Prashant K (Editor), Malhi, Ramandeep Kaur M. (Editor), Behera, Mukunda Dev (Editor), Kiran, G. Sandhya (Editor), Pandey, Prem Chandra (Editor), Petropoulos, George P. (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; Environmental science, engineering & technology; blue carbon; hyperspectral data; mangrove forest; carbon stock; Bhitarkanika Forest Reserve; regression models; machine learning; P-band polarimetric interferometric synthetic aperture radar (Pol-InSAR); forest vertical structure; Gaussian vertical backscatter (GVB) volume; multi-baseline optimization; symbolic regression; random forest; Sentinel-1; Sentinel-2; ICESat; Bhitarkanika; ATLAS; ground topography in forested terrain; laser intensity; laser pointing angle; UAV; different altitudes; multispectral; biophysical parameters; young oil palm; lidar; remote sensing; forest structure; stand volume; stand dominant species; spaceborne SAR; multifrequency; GEDI; PolInSAR inversion; forest height; dynamic habitat index; moderate resolution imaging spectroradiometer; plant richness; Indian biogeographic region; phenology; NDVI; smoothing; MODIS; mixed forest in karst areas; leaf N/P ratio; fractional differentiation; combined model; overcome overfitting; field spectroradiometer
• Online Access: DOAB: download the publication; DOAB: description of the publication

This 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;