Dynamics of Fire Foci in the Amazon Rainforest and Their Consequences on Environmental Degradation
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Elania Barros da Silva | J. F. Oliveira‐Júnior | C. Blanco | M. A. Haq | C. R. Pereira | L. G. Pimentel | A. M. D. R. F. Jardim | El-Awady Attia | Ilyas Khan | Munawar Shah | Vijith Hamza | T. Machado | A. Mohamed | Ninu Krishnan Modon Valappil | Marcos Vinícius da Silva | H. D. O. Filho | J. Gobo | Corbiniano da Silva
[1] Dimas de Barros Santiago,et al. Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil , 2022, Sustainability.
[2] Peng Han,et al. Landscape context determines soil fungal diversity in a fragmented habitat , 2022, CATENA.
[3] Sen Liu,et al. The Distribution Characteristics and Human Health Risks of High- Fluorine Groundwater in Coastal Plain: A Case Study in Southern Laizhou Bay, China , 2022, Frontiers in Environmental Science.
[4] Carlos Antonio da Silva Junior,et al. Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian , 2022, Remote. Sens..
[5] João Paulo Assis Gobo,et al. Comparison between Air Temperature and Land Surface Temperature for the City of São Paulo, Brazil , 2022, Atmosphere.
[6] G. Du,et al. Differential Mechanisms Drive Species Loss Under Artificial Shade and Fertilization in the Alpine Meadow of the Tibetan Plateau , 2022, Frontiers in Plant Science.
[7] Dong Wang,et al. Effects of long-term grazing exclusion on plant and soil properties vary with position in dune systems in the Horqin Sandy Land , 2022, CATENA.
[8] S. Freitas,et al. Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) , 2022, Atmospheric Environment.
[9] C. Gao,et al. Simulation and design of joint distribution of rainfall and tide level in Wuchengxiyu Region,China , 2021, Urban Climate.
[10] G. Lyra,et al. Fire foci in South America: Impact and causes, fire hazard and future scenarios , 2021, Journal of South American Earth Sciences.
[11] S. Fu,et al. Fine root biomass and morphology in a temperate forest are influenced more by the nitrogen treatment approach than the rate , 2021 .
[12] J. F. Oliveira‐Júnior,et al. Spatiotemporal climatic analysis in Pernambuco State, Northeast Brazil , 2021 .
[13] Yaochen Qin,et al. Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery , 2021, Remote. Sens..
[14] Z. Niu,et al. Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles , 2021, Journal of the Indian Society of Remote Sensing.
[15] Chao Li,et al. Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards , 2021, Journal of Hydrology.
[16] Quansheng Zhao,et al. A preliminary study on the eco-environmental geological issue of in-situ oil shale mining by a physical model. , 2021, Chemosphere.
[17] S. J. Mayor,et al. Dry corridors opened by fire and low CO2 in Amazonian rainforest during the Last Glacial Maximum , 2021, Nature Geoscience.
[18] F. França,et al. Tracking the impacts of El Niño drought and fire in human-modified Amazonian forests , 2021, Proceedings of the National Academy of Sciences.
[19] M. Ehsan,et al. Possible Thermal Anomalies Associated With Global Terrestrial Earthquakes During 2000–2019 Based on MODIS-LST , 2021, IEEE Geoscience and Remote Sensing Letters.
[20] Carlos Antonio da Silva Junior,et al. Recent trends in the fire dynamics in Brazilian Legal Amazon: Interaction between the ENSO phenomenon, climate and land use , 2021 .
[21] Gui-zhou Wang,et al. Monitoring Landsat Based Burned Area as an Indicator of Sustainable Development Goals , 2021, Earth's Future.
[22] B. Soares-Filho,et al. Deforestation reduces rainfall and agricultural revenues in the Brazilian Amazon , 2021, Nature Communications.
[23] T. Jackson,et al. Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm , 2021 .
[24] T. Biggs,et al. Forests Mitigate Drought in an Agricultural Region of the Brazilian Amazon: Atmospheric Moisture Tracking to Identify Critical Source Areas , 2021, Geophysical Research Letters.
[25] A. M. D. R. F. Jardim,et al. Genotypic differences relative photochemical activity, inorganic and organic solutes and yield performance in clones of the forage cactus under semi-arid environment. , 2021, Plant physiology and biochemistry : PPB.
[26] Q. Quan,et al. Assessment of the sustainability of Gymnocypris eckloni habitat under river damming in the source region of the Yellow River. , 2021, The Science of the total environment.
[27] V. R. S. Cheela,et al. Combating Urban Heat Island Effect—A Review of Reflective Pavements and Tree Shading Strategies , 2021, Buildings.
[28] M. M. Rolim,et al. Spatio-temporal monitoring of soil and plant indicators under forage cactus cultivation by geoprocessing in Brazilian semi-arid region , 2021 .
[29] Dimas de Barros Santiago,et al. Temporal record and spatial distribution of fire foci in State of Minas Gerais, Brazil. , 2020, Journal of environmental management.
[30] L. Aragão,et al. Drivers of Fire Anomalies in the Brazilian Amazon: Lessons Learned from the 2019 Fire Crisis , 2020, Land.
[31] Zhijia Li,et al. A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds , 2020 .
[32] E. Sills,et al. Impacts of Protected Area Deforestation on Dry‐Season Regional Climate in the Brazilian Amazon , 2020, Journal of Geophysical Research: Atmospheres.
[33] Joez André de Moraes Rodrigues,et al. Pilot monitoring of caatinga spatial-temporal dynamics through the action of agriculture and livestock in the brazilian semiarid , 2020 .
[34] Jiancheng Shi,et al. Soil moisture experiment in the Luan River supporting new satellite mission opportunities , 2020 .
[35] Junaid Ahmed,et al. Possible ionosphere and atmosphere precursory analysis related to Mw > 6.0 earthquakes in Japan , 2020 .
[36] Dimas de Barros Santiago,et al. Fire foci related to rainfall and biomes of the state of Mato Grosso do Sul, Brazil , 2020 .
[37] E. I. Fernandes-Filho,et al. Fire foci assessment in the Western Amazon (2000–2015) , 2020, Environment, Development and Sustainability.
[38] Michael T. Coe,et al. Droughts Amplify Differences Between the Energy Balance Components of Amazon Forests and Croplands , 2020, Remote. Sens..
[39] Ignácio Amigo,et al. When will the Amazon hit a tipping point? , 2020, Nature.
[40] Wade T. Crow,et al. The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar‐Derived Estimates of Root‐Zone Soil Moisture , 2019, Journal of Geophysical Research: Biogeosciences.
[41] J. F. Oliveira‐Júnior,et al. Remote sensing for updating the boundaries between the brazilian Cerrado-Amazonia biomes , 2019, Environmental Science & Policy.
[42] V. Bondur,et al. Satellite Monitoring of Wildfire Impacts on the Conditions of Various Types of Vegetation Cover in the Federal Districts of the Russian Federation , 2019, Izvestiya, Atmospheric and Oceanic Physics.
[43] Bergson G. Bezerra,et al. Comparative analyzes and use of evapotranspiration obtained through remote sensing to identify deforested areas in the Amazon , 2019, Int. J. Appl. Earth Obs. Geoinformation.
[44] M. Andreae. Emission of trace gases and aerosols from biomass burning – an updated assessment , 2019, Atmospheric Chemistry and Physics.
[45] Y. Liu,et al. Urban pollution greatly enhances formation of natural aerosols over the Amazon rainforest , 2019, Nature Communications.
[46] O. Phillips,et al. 21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions , 2018, Nature Communications.
[47] V. Bondur,et al. Spacetime Distributions of Wildfire Areas and Emissions of Carbon-Containing Gases and Aerosols in Northern Eurasia according to Satellite-Monitoring Data , 2017, Izvestiya, Atmospheric and Oceanic Physics.
[48] J. Randerson,et al. A human-driven decline in global burned area , 2017, Science.
[49] J. F. Oliveira‐Júnior,et al. Spatiotemporal rainfall and temperature trends throughout the Brazilian Legal Amazon, 1973–2013 , 2017 .
[50] Michael Brauer,et al. Critical Review of Health Impacts of Wildfire Smoke Exposure , 2016, Environmental health perspectives.
[51] C. Justice,et al. The collection 6 MODIS active fire detection algorithm and fire products , 2016, Remote sensing of environment.
[52] Shuanggen Jin,et al. Statistical characteristics of seismo-ionospheric GPS TEC disturbances prior to global Mw ≥ 5.0 earthquakes (1998–2014) , 2015 .
[53] Grant J. Williamson,et al. Climate-induced variations in global wildfire danger from 1979 to 2013 , 2015, Nature Communications.
[54] J. F. Oliveira‐Júnior,et al. Overview of fire foci causes and locations in Brazil based on meteorological satellite data from 1998 to 2011 , 2015, Environmental Earth Sciences.
[55] J. Stape,et al. Köppen's climate classification map for Brazil , 2013 .
[56] K. F. Boersma,et al. Satellite observations indicate substantial spatiotemporal variability in biomass burning NO x emission factors for South America , 2013 .
[57] J. Randerson,et al. Satellite observations of terrestrial water storage provide early warning information about drought and fire season severity in the Amazon , 2013 .
[58] C. Nobre,et al. The droughts of 1997 and 2005 in Amazonia: floodplain hydrology and its potential ecological and human impacts , 2013, Climatic Change.
[59] C. Nobre,et al. The Drought of Amazonia in 2005 , 2008 .
[60] R. Allen,et al. At-Surface Reflectance and Albedo from Satellite for Operational Calculation of Land Surface Energy Balance , 2008 .
[61] Richard G. Allen,et al. Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .
[62] Jin Chen,et al. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction , 2006 .
[63] D. Nepstad,et al. MICROMETEOROLOGICAL AND CANOPY CONTROLS OF FIRE SUSCEPTIBILITY IN A FORESTED AMAZON LANDSCAPE , 2005 .
[64] D. Nepstad,et al. Frontier Governance in Amazonia , 2002, Science.
[65] H. Kaiser. The Application of Electronic Computers to Factor Analysis , 1960 .
[66] K. M. Mohib,et al. An integrated flood risk assessment approach based on coupled hydrological-hydraulic modeling and bottom-up hazard vulnerability analysis , 2022, Environ. Model. Softw..
[67] Najam Abbas Naqvi,et al. Possible Atmosphere and Ionospheric Anomalies of the 2019 Pakistan Earthquake Using Statistical and Machine Learning Procedures on MODIS LST, GPS TEC, and GIM TEC , 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[68] Jiahua Wei,et al. Spatiotemporal characteristics and attribution of dry/wet conditions in the Weihe River Basin within a typical monsoon transition zone of East Asia over the recent 547 years , 2021, Environ. Model. Softw..
[69] Carlos Antonio da Silva Junior,et al. The forests in the indigenous lands in Brazil in peril , 2020 .
[70] E. N. Stavros,et al. Satellite Hydrology Observations as Operational Indicators of Forecasted Fire Danger across the Contiguous United States , 2019 .
[71] B. Duncan,et al. Vegetation fire emissions and their impact on air pollution and climate , 2009 .
[72] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .