Articles | Volume 13, issue 2
https://doi.org/10.5194/bg-13-609-2016
© Author(s) 2016. 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-13-609-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Feb 2016
Research article |
| 02 Feb 2016
Annual South American forest loss estimates based on passive microwave remote sensing (1990–2010)
Faculty of Earth and Life Sciences, Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
G. R. van der Werf
Faculty of Earth and Life Sciences, Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
R. A. M. de Jeu
Faculty of Earth and Life Sciences, Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
now at: VanderSat B. V., Space Technology Centre,
Noordwijk, the Netherlands
Y. Y. Liu
ARC Centre of Excellence for Climate System Science &
Climate Change Research Centre, University of New South Wales, Sydney,
Australia
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- Mapping gains and losses in woody vegetation across global tropical drylands F. Tian et al. 10.1111/gcb.13464
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- Land Surface Phenologies and Seasonalities in the US Prairie Pothole Region Coupling AMSR Passive Microwave Data with the USDA Cropland Data Layer W. Alemu et al. 10.3390/rs11212550
- Global Unsupervised Assessment of Multifrequency Vegetation Optical Depth Sensitivity to Vegetation Cover C. Olivares-Cabello et al. 10.1109/JSTARS.2022.3226001
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- A carbon sink-driven approach to estimate gross primary production from microwave satellite observations I. Teubner et al. 10.1016/j.rse.2019.04.022
- The impacts of recent drought on fire, forest loss, and regional smoke emissions in lowland Bolivia J. Heyer et al. 10.5194/bg-15-4317-2018
- The 2019–2020 Australian Drought and Bushfires Altered the Partitioning of Hydrological Fluxes S. Kumar et al. 10.1029/2020GL091411
- Trends of land surface phenology derived from passive microwave and optical remote sensing systems and associated drivers across the dry tropics 1992–2012 X. Tong et al. 10.1016/j.rse.2019.111307
- Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI) L. Moesinger et al. 10.5194/bg-19-5107-2022
- Assessing the relationship between microwave vegetation optical depth and gross primary production I. Teubner et al. 10.1016/j.jag.2017.10.006
- Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review F. Frappart et al. 10.3390/rs12182915
- Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices D. Chaparro et al. 10.1016/j.rse.2019.111303
- Progress and Hotspots of Research on Land-Use Carbon Emissions: A Global Perspective M. Liu et al. 10.3390/su15097245
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Short summary
We have quantified large-scale forest loss over a 21-year period (1990–2010) in the tropical biomes of South America using a new satellite-based data set. We found that South American forest exhibited interannual variability without a clear trend during the 1990s, but increased from 2000 to 2004. After 2004, forest loss decreased again, mainly as a result of a decrease in the Brazilian Amazon, whereas at the same time regions south of the arc of deforestation showed an increase in forest loss.
We have quantified large-scale forest loss over a 21-year period (1990–2010) in the tropical...
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