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Bridging the Gap - Carbon Dioxide Removal

, , , , , , , , , and 1 other author(s). The Emissions Gap Report 2017, United Nations Environment Programme, Nairobi, (2017)

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Bridging the Gap - Carbon Dioxide Removal, , , , , , , , , and 1 other author(s). The Emissions Gap Report 2017, United Nations Environment Programme, Nairobi, (2017)Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach., , , , , , , , , and 15 other author(s). Remote. Sens., 12 (17): 2685 (2020)A protocol for expedite and effective retrieval of land conversion information in savanna environments., , , , and . IGARSS, page 704-707. IEEE, (2011)Scaling up Equivalent Water Thickness in Savanna Environments: From Local to Biome Scale, via Ground, Hyperion, and MODIS Data., , , , and . IGARSS (4), page 300-302. IEEE, (2009)Assessing deforestation related carbon emission in the Brazilian Savanna based on moderate resolution imagery., , , , and . IGARSS, page 748-751. IEEE, (2011)Aboveground Woody Biomass Estimation of the Brazilian Cerrado Biome Using Data Integration., , , , , , , , , and 11 other author(s). IGARSS, page 1402-1405. IEEE, (2021)Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform., , , , , , , , , and 6 other author(s). Remote. Sens., 12 (6): 924 (2020)Woody Plant Encroachment in a Seasonal Tropical Savanna: Lessons about Classifiers and Accuracy from UAV Images., , , , , , , and . Remote. Sens., 15 (9): 2342 (May 2023)Mapping Brazilian savanna vegetation gradients with Landsat time series., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)