Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation

Copernicus Global Land Cover Layers—Collection 2

(2020) Marcel Buchhorn et al.   Remote Sensing

The GEDI simulator: A large‐footprint waveform lidar simulator for calibration and validation of spaceborne missions

(2019) Steven Hancock et al.   Earth and Space Science

Continuous monitoring of land disturbance based on Landsat time series

(2019) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Statistical properties of hybrid estimators proposed for GEDI – NASA’s Global Ecosystem Dynamics Investigation

(2019) Paul L Patterson et al.   Environmental Research Letters

Country-wide high-resolution vegetation height mapping with Sentinel-2

(2019) Nico Lang et al.   REMOTE SENSING OF ENVIRONMENT

Annual continuous fields of woody vegetation structure in the Lower Mekong region from 2000‐2017 Landsat time-series

(2019) P. Potapov et al.   REMOTE SENSING OF ENVIRONMENT

Global humid tropics forest structural condition and forest structural integrity maps

(2019) Andrew Hansen et al.   Scientific Data

Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data

(2018) Svetlana Saarela et al.   Remote Sensing

Mapping major land cover types and retrieving the age of secondary forests in the Brazilian Amazon by combining single-date optical and radar remote sensing data

(2017) João M.B. Carreiras et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

(2017) Warren Cohen et al.   Forests

Estimation of Forest Aboveground Biomass in Changbai Mountain Region Using ICESat/GLAS and Landsat/TM Data

(2017) Hong Chi et al.   Remote Sensing

Characterizing the magnitude, timing and duration of urban growth from time series of Landsat-based estimates of impervious cover

(2016) Xiao-Peng Song et al.   REMOTE SENSING OF ENVIRONMENT

Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

(2016) Panpan Zhao et al.   Remote Sensing

Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012

(2015) A Tyukavina et al.   Environmental Research Letters

Continuous change detection and classification of land cover using all available Landsat data

(2014) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Carbon stock corridors to mitigate climate change and promote biodiversity in the tropics

(2014) Patrick Jantz et al.   Nature Climate Change

Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps

(2012) A. Baccini et al.   Nature Climate Change

Mapping forest canopy height globally with spaceborne lidar

(2011) Marc Simard et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda

(2011) Valerio Avitabile et al.   REMOTE SENSING OF ENVIRONMENT

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

(2010) Scott L. Powell et al.   REMOTE SENSING OF ENVIRONMENT

Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

(2009) Gyanesh Chander et al.   REMOTE SENSING OF ENVIRONMENT