Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-321-2024
https://doi.org/10.5194/essd-16-321-2024
Data description paper
 | 
15 Jan 2024
Data description paper |  | 15 Jan 2024

Annual maps of forest cover in the Brazilian Amazon from analyses of PALSAR and MODIS images

Yuanwei Qin, Xiangming Xiao, Hao Tang, Ralph Dubayah, Russell Doughty, Diyou Liu, Fang Liu, Yosio Shimabukuro, Egidio Arai, Xinxin Wang, and Berrien Moore III

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Cited articles

Achard, F., Beuchle, R., Mayaux, P., Stibig, H. J., Bodart, C., Brink, A., Carboni, S., Desclee, B., Donnay, F., Eva, H. D., Lupi, A., Rasi, R., Seliger, R., and Simonetti, D.: Determination of tropical deforestation rates and related carbon losses from 1990 to 2010, Global Change Biol., 20, 2540–2554, https://doi.org/10.1111/gcb.12605, 2014. 
Almeida, C. T., Oliveira-Júnior, J. F., Delgado, R. C., Cubo, P., and Ramos, M. C.: Spatiotemporal rainfall and temperature trends throughout the Brazilian Legal Amazon, 1973–2013, Int. J. Climatol., 37, 2013–2026, https://doi.org/10.1002/joc.4831, 2017. 
Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., Samanta, S., and Houghton, R. A.: Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nat. Clim. Change, 2, 182–185, https://doi.org/10.1038/Nclimate1354, 2012. 
Chen, B. Q., Xiao, X. M., Ye, H. C., Ma, J., Doughty, R., Li, X. P., Zhao, B., Wu, Z. X., Sun, R., Dong, J. W., Qin, Y. W., and Xie, G. S.: Mapping Forest and Their Spatial-Temporal Changes From 2007 to 2015 in Tropical Hainan Island by Integrating ALOS/ALOS-2 L-Band SAR and Landsat Optical Images, Ieee J.-Stars, 11, 852–867, https://doi.org/10.1109/jstars.2018.2795595, 2018. 
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Short summary
Forest definition has two major biophysical parameters, i.e., canopy height and canopy coverage. However, few studies have assessed forest cover maps in terms of these two parameters at a large scale. Here, we assessed the annual forest cover maps in the Brazilian Amazon using 1.1 million footprints of canopy height and canopy coverage. Over 93 % of our forest cover maps are consistent with the FAO forest definition, showing the high accuracy of these forest cover maps in the Brazilian Amazon.
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