Highly local model calibration with a new GEDI LiDAR asset on Google Earth Engine reduces landsat forest height signal saturation. Gorelick N, Healey SP, Ilyushchenko S. SP Healey, Z Yang, N Gorelick, S Ilyushchenko - Remote Sensing, 2020 - mdpi.com GSID: pfkkQVpOWm4J
Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height. Cohen WB, Hudak AT, Lefsky MA. AT Hudak, MA Lefsky, WB Cohen… - Remote sensing of …, 2002 - Elsevier GSID: uF_tB2CTurcJ
Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size. Béland M, Caspersen J, Thomas S. JR Roussel, J Caspersen, M Béland, S Thomas… - Remote Sensing of …, 2017 - Elsevier GSID: f_1uTqvV0WAJ
Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Armston J, Dubayah R, Duncanson L, Kellner JR. L Duncanson, JR Kellner, J Armston, R Dubayah… - Remote Sensing of …, 2022 - Elsevier GSID: npbBuB9KsSAJ
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals. Cheng X. A Liu, X Cheng, Z Chen - Remote Sensing of Environment, 2021 - Elsevier GSID: 62vG8mx9S04J
Fifty years of Landsat science and impacts. Loveland TR, Radeloff VC, Roy DP, Wulder MA. MA Wulder, DP Roy, VC Radeloff, TR Loveland… - Remote Sensing of …, 2022 - Elsevier GSID: RfxC7iWF1iMJ
