Fetching the paper…
Reading the bibliography…
The increasing demand for commodities is leading to changes in land use worldwide.
Estimation of tropical forest structural characteristics using large-footprint lidar
Drake, J. B. et al · 2002
Earlier work this paper cites.
Scaling of C:N:P stoichiometry in forests worldwide: Implications of terrestrial redfield-type ratios
McGroddy, M. E., Daufresne, T. & Hedin, L. O · 2004
Earlier work this paper cites.
2006 IPCC guidelines for national greenhouse gas inventories (2006)
Eggleston, H., Buendia, L., Miwa, K., Ngara, T. & Tanabe, K · 2006
Earlier work this paper cites.
Estimation of tropical forest height and biomass dynamics using lidar remote sensing at la selva, costa rica
Dubayah, R. O. et al · 2010
Earlier work this paper cites.
Towards ground-truthing of spaceborne estimates of above-ground life biomass and leaf area index in tropical rain forests
Köhler, P. & Huth, A · 2010
Earlier work this paper cites.
Exploring land use changes and the role of palm oil production in Indonesia and Malaysia
Wicke, B., Sikkema, R., Dornburg, V. & Faaij, A · 2011
Earlier work this paper cites.
Benchmark map of forest carbon stocks in tropical regions across three continents
Saatchi, S. S. et al · 2011
Earlier work this paper cites.
What we know and don’t know about Earth’s missing biodiversity
Scheffers, B. R., Joppa, L. N., Pimm, S. L. & Laurance, W. F · 2012
Earlier work this paper cites.
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
Baccini, A. et al · 2012
Earlier work this paper cites.
A framework for integrating biodiversity concerns into national REDD+ programmes
Gardner, T. A. et al · 2012
Earlier work this paper cites.
Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps
Mitchard, E. T. et al · 2013
Earlier work this paper cites.
Essential biodiversity variables
Pereira, H. M. et al · 2013
Earlier work this paper cites.
Reconciling biodiversity and carbon conservation
Thomas, C. D. et al · 2013
Earlier work this paper cites.
The future of food demand: understanding differences in global economic models
Valin, H. et al · 2014
Earlier work this paper cites.
Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites
Mitchard, E. T. et al · 2014
Earlier work this paper cites.
Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric
Asner, G. P. & Mascaro, J · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P. & Ba, J · 2015
Earlier work this paper cites.
Rapid conversions and avoided deforestation: examining four decades of industrial plantation expansion in Borneo
Gaveau, D. L. et al · 2016
Earlier work this paper cites.
Humid tropical forest disturbance alerts using landsat data
Hansen, M. C. et al · 2016
Cited alongside, same era.
Simple and scalable predictive uncertainty estimation using deep ensembles
Lakshminarayanan, B., Pritzel, A. & Blundell, C · 2016
Cited alongside, same era.
The HCS approach toolkit
Rosoman, G., Sheun, S., Opal, C., Anderson, P. & Trapshah, R · 2017
Cited alongside, same era.
Quantifying forest biomass carbon stocks from space
Rodríguez-Veiga, P., Wheeler, J., Louis, V., Tansey, K. & Balzter, H · 2017
Cited alongside, same era.
Allometric equations for integrating remote sensing imagery into forest monitoring programmes
Jucker, T. et al · 2017
Cited alongside, same era.
Diversity and carbon storage across the tropical forest biome
Sullivan, M. J. et al · 2017
Potential for low-cost carbon dioxide removal through tropical reforestation
Busch, J. et al · 2019
Later among the works it cites.
The global ecosystem dynamics investigation: High-resolution laser ranging of the Earth’s forests and topography
Dubayah, R. et al · 2020
Later among the works it cites.
Copernicus global land service: Land cover 100m: collection 3: epoch 2019: Globe, DOI: 10.5281/zenodo.3939050 (2020)
Buchhorn, M. et al · 2020
Later among the works it cites.
Global land use changes are four times greater than previously estimated
Winkler, K., Fuchs, R., Rounsevell, M. & Herold, M · 2021
Closest in time.
Global maps of twenty-first century forest carbon fluxes
Harris, N. L. et al · 2021
Closest in time.
Limited protection and ongoing loss of tropical cloud forest biodiversity and ecosystems worldwide
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Comparison of small-and large-footprint lidar characterization of tropical forest aboveground structure and biomass: A case study from central gabon
Silva, C. A. et al · 2018
Cited alongside, same era.
Mapped aboveground carbon stocks to advance forest conservation and recovery in malaysian borneo
Asner, G. P. et al · 2018
Cited alongside, same era.
World population prospects 2019: highlights
United Nations · 2019
Cited alongside, same era.
What causes deforestation in Indonesia?
Austin, K. G., Schwantes, A., Gu, Y. & Kasibhatla, P. S · 2019
Cited alongside, same era.
Stepping up EU action to protect and restore the World’s forests
Plan, E. A · 2019
Cited alongside, same era.
Upscaling forest biomass from field to satellite measurements: sources of errors and ways to reduce them
Réjou-Méchain, M. et al · 2019
Cited alongside, same era.
Karger, D. N., Kessler, M., Lehnert, M. & Jetz, W · 2021
Closest in time.
Mapping the deforestation footprint of nations reveals growing threat to tropical forests
Hoang, N. T. & Kanemoto, K · 2021
Closest in time.
Drivers of deforestation and degradation for 28 tropical conservation landscapes
Jayathilake, H. M., Prescott, G. W., Carrasco, L. R., Rao, M. & Symes, W. S · 2021
Closest in time.
http://highcarbonstock.org/wp-content/uploads/2020/04/HCSA_QA_SoA-for-RSPO-v1-Approved-150420.pdf [Online; accessed 2021-06-15]
High carbon stock approach: Scope of applicability for RSPO certification (2020) · 2021
Closest in time.
https://unstats.un.org/unsd/demographic/products/dyb/DYB2004/Table03.pdf [Online; accessed 2021-06-15]
UN Statistics (2005) · 2021
Closest in time.
Aboveground woody biomass product validation good practices protocol
Duncanson, L. et al · 2021
Closest in time.
Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning
Lang, N. et al · 2021
Closest in time.
Mapping oil palm density at country scale: An active learning approach
Rodríguez, A. C., D’Aronco, S., Schindler, K. & Wegner, J. D · 2021
Closest in time.
Damage estimation of typhoon goni on coconut crops with sentinel-2 imagery (2021)
Rodríguez, A. C., Daudt, R. C., D’Aronco, S., Schindler, K. & Wegner, J. D · 2021
Closest in time.
Canopy top height and indicative high carbon stock maps for Indonesia, Malaysia, and Philippines, DOI: 10.5281/zenodo.5012448 (2021)
Lang, N., Rodríguez, A. C., Schindler, K. & Wegner, J. D · 2021
Closest in time.
Global airborne observatory: Forest canopy height and carbon stocks for Sabah, Borneo Malaysia, DOI: 10.5281/zenodo.4549461 (2021)
Asner, G. P., Brodrick, P. G. & Heckler, J · 2021
Closest in time.
http://highcarbonstock.org/wp-content/uploads/2020/09/09_2020_HCVRN_HCSA_Joint_Briefing_1.pdf [Online; accessed 2021-06-15]
Coupling high carbon stock and high conservation value approaches to protect forests, biodiversity and livelihoods (2020) · 2021
Closest in time.