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https://doi.org/10.5194/essd-2020-148

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118991978.hces173openalex-snapshot
Global Biomass Information: From Data Generation to Application
inferredcites →https://doi.org/10.1007/s10584-014-1058-7openalex-snapshot
Amazon forest biomass density maps: tackling the uncertainty in carbon emission estimates
inferredcites →https://doi.org/10.1007/s10712-019-09510-6openalex-snapshot
The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy
inferredcites →https://doi.org/10.1007/s10712-019-09551-xopenalex-snapshot
Aspects of Forest Biomass in the Earth System: Its Role and Major Unknowns
inferredcites →https://doi.org/10.1007/s40725-017-0052-5openalex-snapshot
Quantifying Forest Biomass Carbon Stocks From Space
inferredcites →https://doi.org/10.1016/j.agrformet.2016.12.004openalex-snapshot
The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites
inferredcites →https://doi.org/10.1016/j.foreco.2015.06.003openalex-snapshot
Assessing change in national forest monitoring capacities of 99 tropical countries
inferredcites →https://doi.org/10.1016/j.foreco.2017.11.047openalex-snapshot
An assessment of forest biomass maps in Europe using harmonized national statistics and inventory plots
inferredcites →https://doi.org/10.1016/j.jag.2020.102109openalex-snapshot
Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania
inferredcites →https://doi.org/10.1016/j.rse.2010.07.015openalex-snapshot
Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass
inferredcites →https://doi.org/10.1016/j.rse.2010.09.018openalex-snapshot
Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements
inferredcites →https://doi.org/10.1016/j.rse.2012.05.029openalex-snapshot
Mapping forest aboveground biomass in the Northeastern United States with ALOS PALSAR dual-polarization L-band
inferredcites →https://doi.org/10.1016/j.rse.2015.10.031openalex-snapshot
Strengths and weaknesses of multi-year Envisat ASAR backscatter measurements to map permanent open water bodies at global scale
inferredcites →https://doi.org/10.1016/j.rse.2017.12.030openalex-snapshot
An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR
inferredcites →https://doi.org/10.1016/j.rse.2019.03.032openalex-snapshot
The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space
inferredcites →https://doi.org/10.1016/j.rse.2019.111313openalex-snapshot
Exploring combinations of multi-temporal and multi-frequency radar backscatter observations to estimate above-ground biomass of tropical forest
inferredcites →https://doi.org/10.1016/j.srs.2020.100002openalex-snapshot
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
inferredcites →https://doi.org/10.1016/s0034-4257(01)00329-7openalex-snapshot
Stem volume retrieval in boreal forests from ERS-1/2 interferometry
inferredcites →https://doi.org/10.1029/2011jg001708openalex-snapshot
Mapping forest canopy height globally with spaceborne lidar
inferredcites →https://doi.org/10.1038/nature13731openalex-snapshot
Global covariation of carbon turnover times with climate in terrestrial ecosystems
inferredcites →https://doi.org/10.1038/nature25138openalex-snapshot
Unexpectedly large impact of forest management and grazing on global vegetation biomass
inferredcites →https://doi.org/10.1038/nclimate1354openalex-snapshot
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
inferredcites →https://doi.org/10.1038/nclimate2581openalex-snapshot
Recent reversal in loss of global terrestrial biomass
inferredcites →https://doi.org/10.1073/pnas.1019576108openalex-snapshot
Benchmark map of forest carbon stocks in tropical regions across three continents
inferredcites →https://doi.org/10.1073/pnas.1515160113openalex-snapshot
The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times
inferredcites →https://doi.org/10.1073/pnas.1711842115openalex-snapshot
The biomass distribution on Earth
inferredcites →https://doi.org/10.1080/17538947.2014.990526openalex-snapshot
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
inferredcites →https://doi.org/10.1093/forestscience/49.1.12openalex-snapshot
National-Scale Biomass Estimators for United States Tree Species
inferredcites →https://doi.org/10.1098/rstb.2019.0128openalex-snapshot
Mapping co-benefits for carbon storage and biodiversity to inform conservation policy and action
inferredcites →https://doi.org/10.1109/36.312892openalex-snapshot
Backscattering properties of boreal forests at the C- and X-bands
inferredcites →https://doi.org/10.1109/36.851780openalex-snapshot
Decomposition of laser altimeter waveforms
inferredcites →https://doi.org/10.1109/jstars.2010.2072984openalex-snapshot
Ortho-Rectification and Slope Correction of SAR Data Using DEM and Its Accuracy Evaluation
inferredcites →https://doi.org/10.1109/tgrs.2007.901027openalex-snapshot
ALOS PALSAR: A Pathfinder Mission for Global-Scale Monitoring of the Environment
inferredcites →https://doi.org/10.1111/gcb.12822openalex-snapshot
Observing terrestrial ecosystems and the carbon cycle from space
inferredcites →https://doi.org/10.1111/gcb.13139openalex-snapshot
An integrated pan‐tropical biomass map using multiple reference datasets
inferredcites →https://doi.org/10.1111/geb.12125openalex-snapshot
Carbon stock and density of northern boreal and temperate forests
inferredcites →https://doi.org/10.1111/j.1365-2486.2005.00955.xopenalex-snapshot
Aboveground Forest Biomass and the Global Carbon Balance
inferredcites →https://doi.org/10.1111/j.1461-0248.2009.01285.xopenalex-snapshot
Towards a worldwide wood economics spectrum
inferredcites →https://doi.org/10.1126/science.1244693openalex-snapshot
High-Resolution Global Maps of 21st-Century Forest Cover Change
inferredcites →https://doi.org/10.1126/science.aam5962openalex-snapshot
Tropical forests are a net carbon source based on aboveground measurements of gain and loss
inferredcites →https://doi.org/10.1186/1750-0680-8-10openalex-snapshot
Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps
inferredcites →https://doi.org/10.14214/sf.244openalex-snapshot
A global forest growing stock, biomass and carbon map based on FAO statistics
inferredcites →https://doi.org/10.1594/pangaea.894711openalex-snapshot
GlobBiomass - global datasets of forest biomass
inferredcites →https://doi.org/10.3390/rs10040608openalex-snapshot
Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations
inferredcites →https://doi.org/10.3390/rs4113320openalex-snapshot
Mapping Canopy Height and Growing Stock Volume Using Airborne Lidar, ALOS PALSAR and Landsat ETM+
inferredcites →https://doi.org/10.3390/rs8070565openalex-snapshot
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data
inferredcites →https://doi.org/10.5194/bg-11-3547-2014openalex-snapshot
Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system
inferredcites →https://doi.org/10.5194/bg-14-5053-2017openalex-snapshot
Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations
inferredcites →https://doi.org/10.5194/essd-10-2141-2018openalex-snapshot
Global Carbon Budget 2018
inferredcites →https://doi.org/10.5194/essd-2020-148openalex-snapshot
inferredcites →https://doi.org/10.5194/gmd-5-413-2012openalex-snapshot
Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4899041openalex-extracted
inferred← citeshttps://doi.org/10.1002/essoar.10512727.1openalex-snapshot
inferred← citeshttps://doi.org/10.1002/rse2.328openalex-snapshot
Characterizing aboveground biomass and tree cover of regrowing forests in Brazil using multi‐source remote sensing data
inferred← citeshttps://doi.org/10.1007/s11056-025-10117-6openalex-snapshot
Predicting the below-ground biomass of trees in young mixed-species stands in Brazilian Amazon
inferred← citeshttps://doi.org/10.1007/s41064-023-00264-wopenalex-snapshot
Uncovering the Hidden Carbon Treasures of the Philippines’ Towering Mountains: A Synergistic Exploration Using Satellite Imagery and Machine Learning
inferred← citeshttps://doi.org/10.1029/2020rg000726openalex-snapshot
Global and Regional Trends and Drivers of Fire Under Climate Change
inferred← citeshttps://doi.org/10.1038/s41561-021-00763-8openalex-snapshot
Fire enhances forest degradation within forest edge zones in Africa
inferred← citeshttps://doi.org/10.1038/s43247-022-00383-zopenalex-snapshot
Rapid remote monitoring reveals spatial and temporal hotspots of carbon loss in Africa’s rainforests
inferred← citeshttps://doi.org/10.1073/pnas.2410736121openalex-snapshot
Toward a metabolic theory of catchments: Scaling of water and carbon fluxes with size
inferred← citeshttps://doi.org/10.1111/2041-210x.14375openalex-snapshot
Modelling internal stem damage in savanna trees: Error in aboveground biomass with terrestrial laser scanning and allometry
inferred← citeshttps://doi.org/10.1111/gcb.17473openalex-snapshot
New tree height allometries derived from terrestrial laser scanning reveal substantial discrepancies with forest inventory methods in tropical rainforests
inferred← citeshttps://doi.org/10.1596/35806openalex-snapshot
Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics
inferred← citeshttps://doi.org/10.1609/aaai.v36i11.21471openalex-snapshot
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
inferred← citeshttps://doi.org/10.17528/cifor/008700openalex-snapshot
The Forests of the Congo Basin: State of the Forests 2021
inferred← citeshttps://doi.org/10.18174/583568openalex-snapshot
EFISCEN-Space 1.0 model documentation and manual
inferred← citeshttps://doi.org/10.20944/preprints202212.0158.v1openalex-snapshot
inferred← citeshttps://doi.org/10.20944/preprints202212.0158.v2openalex-snapshot
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1661442/v1openalex-snapshot
Digital twinning of all forest and non-forest trees at national level via deep learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2318743/v1openalex-snapshot
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3934396/v1openalex-snapshot
inferred← citeshttps://doi.org/10.2139/ssrn.4792602openalex-snapshot
Climate Changes Have Alleviated Forest Carbon Constraints Since 1970 in Most of the Northern Hemisphere
inferred← citeshttps://doi.org/10.22541/essoar.170923255.57545328/v1openalex-snapshot
inferred← citeshttps://doi.org/10.3390/f12070944openalex-snapshot
Growing Stock Volume Retrieval from Single and Multi-Frequency Radar Backscatter
inferred← citeshttps://doi.org/10.3390/rs12172685openalex-snapshot
Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach
inferred← citeshttps://doi.org/10.3390/rs12203330openalex-snapshot
Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data
inferred← citeshttps://doi.org/10.3390/rs13071282openalex-snapshot
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
inferred← citeshttps://doi.org/10.5194/egusphere-2024-3259-cc1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/egusphere-2024-3259-rc1openalex-snapshot
Comment on egusphere-2024-3259
inferred← citeshttps://doi.org/10.5194/essd-2020-148-ac8openalex-snapshot
Reply on SC8
inferred← citeshttps://doi.org/10.5194/gmd-14-4117-2021openalex-snapshot
CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model
inferred← citeshttps://doi.org/10.5194/gmd-2020-436-ac1openalex-snapshot
Reply on CEC1
inferred← citeshttps://doi.org/10.5194/gmd-2021-93openalex-snapshot
inferred← citeshttps://doi.org/10.5194/gmd-2021-93-rc1openalex-snapshot
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