A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

An assessment of data sources, data quality and changes in national forest monitoring capacities in the Global Forest Resources Assessment 2005-2020

(2021) Mst Karimon Nesha et al.   Environmental Research Letters

Changes in global terrestrial live biomass over the 21st century

(2021) Liang Xu et al.   Science Advances

Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania

(2020) Erik Næsset et al.   International Journal of Applied Earth Observation and Geoinformation

Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories

(2020) Ronald E. McRoberts et al.   Remote Sensing

Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map

(2020) Yuzhen Zhang et al.   Remote Sensing

A map of African humid tropical forest aboveground biomass derived from management inventories

(2020) Pierre Ploton et al.   Scientific Data

Spatial validation reveals poor predictive performance of large-scale ecological mapping models

(2020) Pierre Ploton et al.   Nature Communications

A Comprehensive Forest Biomass Dataset for the USA Allows Customized Validation of Remotely Sensed Biomass Estimates

(2020) James Menlove et al.   Remote Sensing

The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy

(2019) Martin Herold et al.   SURVEYS IN GEOPHYSICS

Using a Finer Resolution Biomass Map to Assess the Accuracy of a Regional, Map-Based Estimate of Forest Biomass

(2019) Ronald E. McRoberts et al.   SURVEYS IN GEOPHYSICS

Forest biomass retrieval approaches from earth observation in different biomes

(2019) Pedro Rodríguez-Veiga et al.   International Journal of Applied Earth Observation and Geoinformation

Ground Data are Essential for Biomass Remote Sensing Missions

(2019) Jérôme Chave et al.   SURVEYS IN GEOPHYSICS

Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them

(2019) Maxime Réjou-Méchain et al.   SURVEYS IN GEOPHYSICS

Estimating aboveground net biomass change for tropical and subtropical forests: refinement of IPCC default rates using forest plot data

(2019) Daniela Requena Suarez et al.   GLOBAL CHANGE BIOLOGY

The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space

(2019) Shaun Quegan et al.   REMOTE SENSING OF ENVIRONMENT

Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction

(2019) Hanna Meyer et al.   ECOLOGICAL MODELLING

Local validation of global biomass maps

(2019) Ronald E. McRoberts et al.   International Journal of Applied Earth Observation and Geoinformation

A Review of Regional and Global Gridded Forest Biomass Datasets

(2019) Yuzhen Zhang et al.   Remote Sensing

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

(2019) Dmitry Schepaschenko et al.   Scientific Data

An assessment of forest biomass maps in Europe using harmonized national statistics and inventory plots

(2018) Valerio Avitabile et al.   FOREST ECOLOGY AND MANAGEMENT

In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions

(2018) Nicolas Labriere et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Fitting and evaluation of height-diameter models for Alnus japonica in La Trinidad, Benguet, Philippines

(2018) Kamae P. Anacioco et al.   Journal of Mountain Science

Tree-Lists Estimation for Chinese Boreal Forests by Integrating Weibull Diameter Distributions with MODIS-Based Forest Attributes from kNN Imputation

(2018) Qinglong Zhang et al.   Forests

Investigating spatial error structures in continuous raster data

(2018) Narumasa Tsutsumida et al.   International Journal of Applied Earth Observation and Geoinformation

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Tropical forests are a net carbon source based on aboveground measurements of gain and loss

(2017) A. Baccini et al.   SCIENCE

Hybrid estimators for mean aboveground carbon per unit area

(2016) Ronald E. McRoberts et al.   FOREST ECOLOGY AND MANAGEMENT

An integrated pan-tropical biomass map using multiple reference datasets

(2016) Valerio Avitabile et al.   GLOBAL CHANGE BIOLOGY

Magnitude, spatial distribution and uncertainty of forest biomass stocks in Mexico

(2016) Pedro Rodríguez-Veiga et al.   REMOTE SENSING OF ENVIRONMENT

Positive biodiversity-productivity relationship predominant in global forests

(2016) J. Liang et al.   SCIENCE

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

(2016) Panpan Zhao et al.   Remote Sensing

The effects of temporal differences between map and ground data on map-assisted estimates of forest area and biomass

(2015) Ronald E. McRoberts et al.   ANNALS OF FOREST SCIENCE

Observing terrestrial ecosystems and the carbon cycle from space

(2015) David Schimel et al.   GLOBAL CHANGE BIOLOGY

The effects of field plot size on model-assisted estimation of aboveground biomass change using multitemporal interferometric SAR and airborne laser scanning data

(2015) Erik Næsset et al.   REMOTE SENSING OF ENVIRONMENT

Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR

(2015) Maurizio Santoro et al.   REMOTE SENSING OF ENVIRONMENT

Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels

(2015) Qi Chen et al.   REMOTE SENSING OF ENVIRONMENT

Uncertainty analysis: an evaluation metric for synthesis science

(2015) Mark E. Harmon et al.   Ecosphere

Spatial Structure of Above-Ground Biomass Limits Accuracy of Carbon Mapping in Rainforest but Large Scale Forest Inventories Can Help to Overcome

(2015) Stéphane Guitet et al.   PLoS One

Can recent pan-tropical biomass maps be used to derive alternative Tier 1 values for reporting REDD+ activities under UNFCCC?

(2014) Andreas Langner et al.   Environmental Research Letters

Improved allometric models to estimate the aboveground biomass of tropical trees

(2014) Jérôme Chave et al.   GLOBAL CHANGE BIOLOGY

A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping

(2014) Joseph Mascaro et al.   PLoS One

High-Resolution Global Maps of 21st-Century Forest Cover Change

(2013) M. C. Hansen et al.   SCIENCE

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

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

Filtered Kriging for Spatial Data with Heterogeneous Measurement Error Variances

(2011) William F. Christensen   BIOMETRICS

Benchmark map of forest carbon stocks in tropical regions across three continents

(2011) S. S. Saatchi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass

(2011) Sassan Saatchi et al.   REMOTE SENSING OF ENVIRONMENT

The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle

(2011) T. Le Toan et al.   REMOTE SENSING OF ENVIRONMENT

Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements

(2010) Maurizio Santoro et al.   REMOTE SENSING OF ENVIRONMENT

Towards a worldwide wood economics spectrum

(2009) Jerome Chave et al.   ECOLOGY LETTERS

Carbon pools and fluxes in small temperate forest landscapes: Variability and implications for sampling design

(2009) John B. Bradford et al.   FOREST ECOLOGY AND MANAGEMENT