Tracking Changes in Vegetation Structure Following Fire in the Cerrado Biome Using ICESat‐2
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[1] A. Alencar,et al. Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning , 2022, Remote. Sens..
[2] S. Sitch,et al. Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake , 2022, Proceedings of the National Academy of Sciences of the United States of America.
[3] J. Singh,et al. Limited increases in savanna carbon stocks over decades of fire suppression , 2022, Nature.
[4] Cibele Hummel do Amaral,et al. Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data , 2022, Remote Sensing of Environment.
[5] Xiaoxiao Zhu,et al. Accuracy Assessment of ICESat-2 Ground Elevation and Canopy Height Estimates in Mangroves , 2021, IEEE Geoscience and Remote Sensing Letters.
[6] S. Popescu,et al. Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones , 2021, Remote Sensing of Environment.
[7] M. Bustamante,et al. Long term post-fire recovery of woody plants in savannas of central Brazil , 2021 .
[8] J. Pereira,et al. Putting fire on the map of Brazilian savanna ecoregions. , 2021, Journal of environmental management.
[9] Gustavo Eduardo Marcatti,et al. Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data , 2021, Forest Ecology and Management.
[10] W. Bond,et al. Pathways of savannization in a mesic African savanna-forest mosaic following an extreme fire , 2021, bioRxiv.
[11] M. Hansen,et al. Rapid expansion of human impact on natural land in South America since 1985 , 2021, Science Advances.
[12] J. Randerson,et al. The role of fire in global forest loss dynamics , 2021, Global change biology.
[13] Marco Assis Borges,et al. Intraseasonal variability of greenhouse gas emission factors from biomass burning in the Brazilian Cerrado , 2021, Biogeosciences.
[14] R. Dubayah,et al. Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping , 2021, Remote Sensing of Environment.
[15] A. Alencar,et al. An alternative approach for mapping burn scars using Landsat imagery, Google Earth Engine, and Deep Learning in the Brazilian Savanna , 2021 .
[16] N. Kurtz,et al. Comparisons of Satellite and Airborne Altimetry With Ground‐Based Data From the Interior of the Antarctic Ice Sheet , 2020, Geophysical Research Letters.
[17] J. Pereira,et al. A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas , 2021 .
[18] Joanne C. White,et al. Validation of ICESat-2 terrain and canopy heights in boreal forests , 2020 .
[19] C. Klink,et al. The Role of Vegetation on the Dynamics of Water and Fire in the Cerrado Ecosystems: Implications for Management and Conservation , 2020, Plants.
[20] M. Hansen,et al. Mapping global forest canopy height through integration of GEDI and Landsat data , 2020 .
[21] Yogendra K. Karna,et al. Persistent changes in the horizontal and vertical canopy structure of fire-tolerant forests after severe fire as quantified using multi-temporal airborne lidar data , 2020 .
[22] J. Pereira,et al. Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado , 2020 .
[23] Pedro Walfir M. Souza Filho,et al. Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine , 2020, Remote. Sens..
[24] R. B. Jackson,et al. Decadal changes in fire frequencies shift tree communities and functional traits , 2020, Nature Ecology & Evolution.
[25] A. Fidelis. Is fire always the “bad guy”? , 2020 .
[26] Sorin C. Popescu,et al. Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example , 2020, Remote. Sens..
[27] C. Silva,et al. Spatial distribution of soil carbon stocks in the Cerrado biome of Minas Gerais, Brazil , 2020 .
[28] Meng Liu,et al. Feasibility of Burned Area Mapping Based on ICESAT-2 Photon Counting Data , 2019, Remote. Sens..
[29] Thorsten Markus,et al. The Ice, Cloud, and Land Elevation Satellite - 2 Mission: A Global Geolocated Photon Product Derived From the Advanced Topographic Laser Altimeter System. , 2019, Remote sensing of environment.
[30] D. Morton,et al. Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire. , 2019, Ecology letters.
[31] O. Phillips,et al. Extensive 21st‐Century Woody Encroachment in South America's Savanna , 2019, Geophysical Research Letters.
[32] Richard J. Williams,et al. Rapid response of habitat structure and above-ground carbon storage to altered fire regimes in tropical savanna , 2019, Biogeosciences.
[33] Paul Duffy,et al. Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR , 2019, Remote. Sens..
[34] E. Chuvieco,et al. Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa , 2019, Remote Sensing of Environment.
[35] Amy L. Neuenschwander,et al. The ATL08 land and vegetation product for the ICESat-2 Mission , 2019, Remote Sensing of Environment.
[36] A. P. Williams,et al. Global Emergence of Anthropogenic Climate Change in Fire Weather Indices , 2019, Geophysical Research Letters.
[37] D. Roy,et al. The Collection 6 MODIS burned area mapping algorithm and product , 2018, Remote sensing of environment.
[38] B. Soares-Filho,et al. Compliance to Brazil's Forest Code will not protect biodiversity and ecosystem services , 2018 .
[39] G. Asner,et al. On the relationship between fire regime and vegetation structure in the tropics. , 2018, The New phytologist.
[40] J. Touboul,et al. On the complex dynamics of savanna landscapes , 2018, Proceedings of the National Academy of Sciences.
[41] F. Kawakubo,et al. Satellite observations for describing fire patterns and climate-related fire drivers in the Brazilian savannas , 2018 .
[42] R. B. Jackson,et al. Fire frequency drives decadal changes in soil carbon and nitrogen and ecosystem productivity , 2017, Nature.
[43] José M. C. Pereira,et al. Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires , 2017, Remote. Sens..
[44] Giselda Durigan,et al. The biodiversity cost of carbon sequestration in tropical savanna , 2017, Science Advances.
[45] J. Randerson,et al. A human-driven decline in global burned area , 2017, Science.
[46] B. Soares-Filho,et al. Moment of truth for the Cerrado hotspot , 2017, Nature Ecology &Evolution.
[47] G. Fernandes,et al. Regeneration after fire in campo rupestre: Short- and long-term vegetation dynamics , 2016 .
[48] Stephen Sitch,et al. The Fire Modeling Intercomparison Project (FireMIP), phase 1: Experimental and analytical protocols with detailed model descriptions , 2016 .
[49] G. Durigan,et al. Edge effects in savanna fragments: a case study in the cerrado , 2015 .
[50] S. Sorooshian,et al. Early Examples from the Integrated Multi-Satellite Retrievals for GPM (IMERG) , 2014 .
[51] B. Marimon,et al. Post-fire recovery of savanna vegetation from rocky outcrops , 2014 .
[52] R. DeFries,et al. Understorey fire frequency and the fate of burned forests in southern Amazonia , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.
[53] I. Oliveras,et al. Effects of fire regimes on herbaceous biomass and nutrient dynamics in the Brazilian savanna , 2013 .
[54] J. Randerson,et al. Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4) , 2013 .
[55] Laerte Guimarães Ferreira,et al. Distribution Patterns of Burned Areas in the Brazilian Biomes: An Analysis Based on Satellite Data for the 2002-2010 Period , 2012, Remote. Sens..
[56] S. Levin,et al. The Global Extent and Determinants of Savanna and Forest as Alternative Biome States , 2011, Science.
[57] M. Scheffer,et al. Global Resilience of Tropical Forest and Savanna to Critical Transitions , 2011, Science.
[58] W. Bond,et al. Deciphering the distribution of the savanna biome. , 2011, The New phytologist.
[59] V. Pivello. The Use of Fire in the Cerrado and Amazonian Rainforests of Brazil: Past and Present , 2011 .
[60] J. Randerson,et al. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009) , 2010 .
[61] Izak P J Smit,et al. Effects of fire on woody vegetation structure in African savanna. , 2010, Ecological applications : a publication of the Ecological Society of America.
[62] Douglas C. Morton,et al. Nitrogen deposition in tropical forests from savanna and deforestation fires , 2010 .
[63] Scott J. Goetz,et al. Synergistic use of spaceborne lidar and optical imagery for assessing forest disturbance: An Alaska case study , 2010 .
[64] Stephen A. Smith,et al. The Origins of C4 Grasslands: Integrating Evolutionary and Ecosystem Science , 2010, Science.
[65] S. Frolking,et al. Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure , 2009 .
[66] Christopher I. Roos,et al. Fire in the Earth System , 2009, Science.
[67] E. Johnson,et al. Testing the assumptions of chronosequences in succession. , 2008, Ecology letters.
[68] Simon Scheiter,et al. Effects of four decades of fire manipulation on woody vegetation structure in Savanna. , 2007, Ecology.
[69] D. Beerling,et al. The origin of the savanna biome , 2006 .
[70] N. Glenn,et al. LiDAR measurement of sagebrush steppe vegetation heights , 2006 .
[71] S. Carpenter,et al. Global Consequences of Land Use , 2005, Science.
[72] F. Woodward,et al. The global distribution of ecosystems in a world without fire. , 2004, The New phytologist.
[73] C. Hopkinsona,et al. Errors in LiDAR ground elevation and wetland vegetation height estimates , 2004 .
[74] M. B. Ramos-Neto,et al. Lightning Fires in a Brazilian Savanna National Park: Rethinking Management Strategies , 2000, Environmental management.
[75] A. Moreira. Effects of fire protection on savanna structure in Central Brazil , 2000 .
[76] A. V. Rezende,et al. Changes in the floristic composition of cerrado sensu stricto in Brazil over a nine-year period , 2000, Journal of Tropical Ecology.
[77] R. Mittermeier,et al. Biodiversity hotspots for conservation priorities , 2000, Nature.
[78] J. Boone Kauffman,et al. Ecosystem structure in the Brazilian Cerrado: a vegetation gradient of aboveground biomass, root mass and consumption by fire , 1998, Journal of Tropical Ecology.
[79] J. A. Ratter,et al. The Brazilian Cerrado Vegetation and Threats to its Biodiversity , 1997 .
[80] Juan F. Silva,et al. Savanna Biodiversity and Ecosystem Properties , 1996 .
[81] J. Boone Kauffman,et al. Relationships of fire, biomass and nutrient dynamics along a vegetation gradient in the Brazilian Cerrado , 1994 .
[82] L. Coutinho,et al. Fire in the Ecology of the Brazilian Cerrado , 1990 .
[83] Steward T. A. Pickett,et al. Space-for-Time Substitution as an Alternative to Long-Term Studies , 1989 .