A Growth-Prior-Informed Forest Age Estimation Method Using Overlapping ICESat/GLAS and GEDI Footprints With Reduced Dependence on Field Calibration Data
Forest age is a critical ecological variable for quantifying carbon sequestration, assessing biodiversity, and supporting sustainable forest management. Conventional remote sensing approaches for forest age estimation either rely heavily on field inventory data or require long-term optical archives, limiting their scal...