[HTML][HTML] Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends

NC Coops, P Tompalski, TRH Goodbody… - Remote Sensing of …, 2021 - Elsevier
Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and mapping of forest attributes. Airborne data are often …

[HTML][HTML] Use of remote sensing data to improve the efficiency of national forest inventories: A case study from the United States national forest inventory

AJ Lister, H Andersen, T Frescino, D Gatziolis… - Forests, 2020 - mdpi.com
Globally, forests are a crucial natural resource, and their sound management is critical for
human and ecosystem health and well-being. Efforts to manage forests depend upon …

[HTML][HTML] The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography

R Dubayah, JB Blair, S Goetz, L Fatoyinbo… - Science of remote …, 2020 - Elsevier
Obtaining accurate and widespread measurements of the vertical structure of the Earth's
forests has been a long-sought goal for the ecological community. Such observations are …

Mapping forest change using stacked generalization: An ensemble approach

SP Healey, WB Cohen, Z Yang, CK Brewer… - Remote Sensing of …, 2018 - Elsevier
The ever-increasing volume and accessibility of remote sensing data has spawned many
alternative approaches for mapping important environmental features and processes. For …

GEDI launches a new era of biomass inference from space

R Dubayah, J Armston, SP Healey… - Environmental …, 2022 - iopscience.iop.org
Accurate estimation of aboveground forest biomass stocks is required to assess the impacts
of land use changes such as deforestation and subsequent regrowth on concentrations of …

[HTML][HTML] Integration of UAV, Sentinel-1, and Sentinel-2 data for mangrove plantation aboveground biomass monitoring in Senegal

JA Navarro, N Algeet, A Fernández-Landa, J Esteban… - Remote Sensing, 2019 - mdpi.com
Due to the increasing importance of mangroves in climate change mitigation projects, more
accurate and cost-effective aboveground biomass (AGB) monitoring methods are required …

Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference

S Puliti, S Saarela, T Gobakken, G Ståhl… - Remote sensing of …, 2018 - Elsevier
Remotely sensed (RS) data are becoming increasingly important as sources of auxiliary
information in forest resource assessments. Data from several satellites providing moderate …

[PDF][PDF] Aboveground woody biomass product validation good practices protocol

L Duncanson, J Armston, M Disney, V Avitabile… - 2021 - pure.iiasa.ac.at
Remote sensing (RS) studies aiming at mapping forest biomass typically rely on ground-
based estimates of biomass for calibration or validation. Whatever the biophysical variable …

[HTML][HTML] Some thoughts on analytical choices in the scaling model for test scores in international large-scale assessment studies

A Robitzsch, O Lüdtke - Measurement Instruments for the Social Sciences, 2022 - Springer
International large-scale assessments (LSAs), such as the Programme for International
Student Assessment (PISA), provide essential information about the distribution of student …

[HTML][HTML] Highly local model calibration with a new GEDI LiDAR asset on Google Earth Engine reduces Landsat forest height signal saturation

SP Healey, Z Yang, N Gorelick, S Ilyushchenko - Remote Sensing, 2020 - mdpi.com
While Landsat has proved to be effective for monitoring many elements of forest condition
and change, the platform has well-documented limitations in measuring forest structure, the …