Articles | Volume 7, issue 8
https://doi.org/10.5194/bg-7-2531-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-7-2531-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
25 Aug 2010
Towards ground-truthing of spaceborne estimates of above-ground life biomass and leaf area index in tropical rain forests
P. Köhler
Alfred Wegener Institute for Polar and Marine Research, P.O. Box 120161, 27515 Bremerhaven, Germany
A. Huth
UFZ – Helmholtz Centre for Environmental Research, Department of Ecological Modelling, Permoserstr. 15, 04318 Leipzig, Germany
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- Simulating Carbon Stocks and Fluxes of an African Tropical Montane Forest with an Individual-Based Forest Model R. Fischer et al. 10.1371/journal.pone.0123300
- Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review J. Barbosa et al. 10.1155/2014/715796
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- Post-fire practices benefits on vegetation recovery and soil conservation in a Mediterranean area M. López-Vicente et al. 10.1016/j.landusepol.2021.105776
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34 citations as recorded by crossref.
- A new approach to derive productivity of tropical forests using radar remote sensing measurements H. Henniger et al. 10.1098/rsos.231186
- Model-Assisted Estimation of Tropical Forest Biomass Change: A Comparison of Approaches N. Knapp et al. 10.3390/rs10050731
- Vegetation Loss at D-Band Frequencies and New Vegetation-Dependent Exponential Decay Model B. De Beelde et al. 10.1109/TAP.2022.3209215
- The global distribution and drivers of wood density and their impact on forest carbon stocks L. Mo et al. 10.1038/s41559-024-02564-9
- Mapping Forest Height from TanDEM-X Interferometric Coherence Data in Northwest Territories, Canada H. Chen et al. 10.1080/07038992.2019.1604119
- Forest vertical structure characterization using ground inventory data for the estimation of forest aboveground biomass A. Toraño Caicoya et al. 10.1139/cjfr-2015-0052
- Connecting dynamic vegetation models to data – an inverse perspective F. Hartig et al. 10.1111/j.1365-2699.2012.02745.x
- Biophysically Informed Imaging Acquisition of Plant Water Status D. Beverly et al. 10.3389/ffgc.2020.589493
- Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles N. Lang et al. 10.1016/j.rse.2021.112760
- Hybrid Machine Learning Forest Height Estimation From TanDEM-X InSAR I. Mansour et al. 10.1109/TGRS.2024.3520387
- The carbon fluxes in different successional stages: modelling the dynamics of tropical montane forests in South Ecuador S. Paulick et al. 10.1186/s40663-017-0092-0
- Community and structural constraints on the complexity of eastern North American forests C. Gough et al. 10.1111/geb.13180
- Simulating Carbon Stocks and Fluxes of an African Tropical Montane Forest with an Individual-Based Forest Model R. Fischer et al. 10.1371/journal.pone.0123300
- Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review J. Barbosa et al. 10.1155/2014/715796
- Large-Scale Forest Height Mapping by Combining TanDEM-X and GEDI Data C. Choi et al. 10.1109/JSTARS.2023.3244866
- Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states N. Knapp et al. 10.1016/j.rse.2017.11.018
- A multi-scaled analysis of forest structure using individual-based modeling in a costa rican rainforest A. Armstrong et al. 10.1016/j.ecolmodel.2020.109226
- Synergistic use of Landsat 8 OLI image and airborne LiDAR data for above-ground biomass estimation in tropical lowland rainforests M. Phua et al. 10.1016/j.foreco.2017.10.007
- Forest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar Data R. Guliaev et al. 10.1109/JSTARS.2021.3058837
- Forest Height Estimation by Means of Pol-InSAR Data Inversion: The Role of the Vertical Wavenumber F. Kugler et al. 10.1109/TGRS.2015.2420996
- The Relevance of Forest Structure for Biomass and Productivity in Temperate Forests: New Perspectives for Remote Sensing R. Fischer et al. 10.1007/s10712-019-09519-x
- Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests R. Fischer et al. 10.1016/j.ecolmodel.2015.11.018
- Life Cycle Model Reveals Sensitive Life Stages and Evaluates Recovery Options for a Dwindling Pacific Salmon Population N. Kendall et al. 10.1002/nafm.10859
- Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data G. Vaglio Laurin et al. 10.1016/j.isprsjprs.2014.01.001
- The role of statistics in the analysis of ecosystem services R. Smith et al. 10.1002/env.1107
- Characterizing 3D vegetation structure from space: Mission requirements F. Hall et al. 10.1016/j.rse.2011.01.024
- Remote-sensing ore prediction in and around the Linghou copper-polymetal deposit, southeastern China F. Yang et al. 10.1088/1755-1315/69/1/012020
- Computer and remote‐sensing infrastructure to enhance large‐scale testing of individual‐based forest models H. Shugart et al. 10.1890/140327
- Forest Canopy Height Estimation Using Tandem-X Coherence Data H. Chen et al. 10.1109/JSTARS.2016.2582722
- Technical Note: Approximate Bayesian parameterization of a process-based tropical forest model F. Hartig et al. 10.5194/bg-11-1261-2014
- Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data A. Berninger et al. 10.3390/rs11182105
- Gap models across micro- to mega-scales of time and space: examples of Tansley’s ecosystem concept H. Shugart et al. 10.1186/s40663-020-00225-4
- Integrating remotely sensed imagery in a forest gap model to study North American boreal forests in a changing world S. Sundquist et al. 10.1088/2752-664X/ad7d94
- Post-fire practices benefits on vegetation recovery and soil conservation in a Mediterranean area M. López-Vicente et al. 10.1016/j.landusepol.2021.105776
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