Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data

[1]  Thieres George Freire da Silva,et al.  Understanding interactive processes: a review of CO2 flux, evapotranspiration, and energy partitioning under stressful conditions in dry forest and agricultural environments , 2022, Environmental Monitoring and Assessment.

[2]  Dimas de Barros Santiago,et al.  Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil , 2022, Sustainability.

[3]  Xin Gao,et al.  Analysis of Spatiotemporal Changes and Driving Factors of Desertification in the Africa Sahel , 2022, SSRN Electronic Journal.

[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]  A. M. D. R. F. Jardim,et al.  Spatiotemporal Dynamics of Agricultural Areas with Central Pivot Using Orbital Remote Sensing in the Brazilian Semiarid , 2022, SSRN Electronic Journal.

[6]  J. Galvíncio,et al.  Dynamics of land cover and land use in Pernambuco (Brazil): Spatio-temporal variability and temporal trends of biophysical parameters , 2021, Remote Sensing Applications: Society and Environment.

[7]  J. F. Oliveira‐Júnior,et al.  Spatiotemporal climatic analysis in Pernambuco State, Northeast Brazil , 2021 .

[8]  C. R. Nascimento,et al.  BIOPHYSICAL PARAMETERS TO THE SURFACE BY ORBITAL REMOTE SENSING IN HYDROGRAPHIC BASIN OF THE BRAZILIAN SEMIARID , 2021, Geo UERJ.

[9]  C. R. Nascimento,et al.  Annual Rainfall in Pernambuco, Brazil: Regionalities, Regimes, and Time Trends , 2021, Revista Brasileira de Meteorologia.

[10]  R. Subhashini,et al.  Kriging: An advanced Geostatistical Tool to Interpolate the Textural Variation Influences the Yield and Productivity of Tapioca (Manihot esculenta) in Namakkal District, Tamil Nadu, India , 2021 .

[11]  Andrea Titolo,et al.  Use of Time-Series NDWI to Monitor Emerging Archaeological Sites: Case Studies from Iraqi Artificial Reservoirs , 2021, Remote. Sens..

[12]  Jhon Lennon Bezerra da Silva,et al.  Monitoramento espaço-temporal das condições biofísicas à superfície utilizando dados geoespaciais em região do Semiárido Brasileiro , 2021 .

[13]  G. Almeida,et al.  Hydro-physical properties of soil and pasture vegetation coverage under animal trampling , 2020, Revista Brasileira de Engenharia Agrícola e Ambiental.

[14]  J. F. Oliveira‐Júnior,et al.  Causes and consequences of seasonal changes in the water flow of the São Francisco river in the semiarid of Brazil , 2020 .

[15]  Joez André de Moraes Rodrigues,et al.  Spatial-temporal dynamics of Caatinga vegetation cover by remote sensing in the Brazilian semiarid region , 2020 .

[16]  Joez André de Moraes Rodrigues,et al.  Changes in the water resources, soil use and spatial dynamics of Caatinga vegetation cover over semiarid region of the Brazilian Northeast , 2020 .

[17]  W. Anderegg,et al.  Divergent forest sensitivity to repeated extreme droughts , 2020, Nature Climate Change.

[18]  N. Brunsell,et al.  Rainfall Prediction in the State of Paraíba, Northeastern Brazil Using Generalized Additive Models , 2020, Water.

[19]  B. Fu,et al.  Driving forces of agricultural expansion and land degradation indicated by Vegetation Continuous Fields (VCF) data in drylands from 2000 to 2015 , 2020 .

[20]  S. Montenegro,et al.  Monitoring of biome degradation in the northeastern semi-arid region, Brazil , 2020 .

[21]  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 .

[22]  Richarde Marques da Silva,et al.  Evaluation of the TRMM Product for Monitoring Drought over Paraíba State, Northeastern Brazil: A Statistical Analysis , 2020, Remote. Sens..

[23]  C. Nobre,et al.  Assessing drought in the drylands of northeast Brazil under regional warming exceeding 4 °C , 2020, Natural Hazards.

[24]  Jhon Lennon Bezerra da Silva,et al.  Identificação de Preditores Para as Chuvas do Setor Leste do Nordeste do Brasil Utilizando Análise de Correlação Canônica , 2020 .

[25]  H. B. Gomes,et al.  Analysis of climate extremes indices over northeast Brazil from 1961 to 2014 , 2020 .

[26]  H. B. Gomes,et al.  Bivariate Assessment of Drought Return Periods and Frequency in Brazilian Northeast Using Joint Distribution by Copula Method , 2020 .

[27]  Jhon Lennon Bezerra da Silva,et al.  Monitoramento Espaço-Temporal do Risco de Degradação Ambiental e Desertificação por Sensoriamento Remoto em Região Semiárida , 2020 .

[28]  Edson Eyji Sano,et al.  Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform , 2020, Remote. Sens..

[29]  E. M. Andrade,et al.  Ecohydrology in a Brazilian tropical dry forest: thinned vegetation impact on hydrological functions and ecosystem services , 2020 .

[30]  J. L. B. D. Silva,et al.  Spatial-temporal dynamics of the Caatinga vegetation cover by remote sensing in municipality of the Brazilian semi-arid , 2019 .

[31]  J. L. B. D. Silva,et al.  Quantification Caatinga vegetable coverage and water availability by remote sensing in the Brazilian semiarid , 2019 .

[32]  D. Herdies,et al.  Analysis of the Space–Temporal Trends of Wet Conditions in the Different Rainy Seasons of Brazilian Northeast by Quantile Regression and Bootstrap Test , 2019, Geosciences.

[33]  J. Marengo,et al.  Extreme Drought Events over Brazil from 2011 to 2019 , 2019, Atmosphere.

[34]  P. Teodoro,et al.  Rainfall variability in the Brazilian northeast biomes and their interactions with meteorological systems and ENSO via CHELSA product , 2019, Big Earth Data.

[35]  V. Dubreuil,et al.  A detailed framework for the characterization of rainfall climatology in semiarid watersheds , 2019, Theoretical and Applied Climatology.

[36]  Jian Wang,et al.  Similarities and improvements of GPM IMERG upon TRMM 3B42 precipitation product under complex topographic and climatic conditions over Hexi region, Northeastern Tibetan Plateau , 2019, Atmospheric Research.

[37]  V. Singh,et al.  An application of sample entropy to precipitation in Paraíba State, Brazil , 2019, Theoretical and Applied Climatology.

[38]  Vincent Dubreuil,et al.  Basin scale rainfall-evapotranspiration dynamics in a tropical semiarid environment during dry and wet years , 2019, Int. J. Appl. Earth Obs. Geoinformation.

[39]  Humberto Alves Barbosa,et al.  Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008–2016) , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

[40]  Javier Tomasella,et al.  Desertification trends in the Northeast of Brazil over the period 2000-2016 , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[41]  J. Tomasella,et al.  Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast , 2018, Atmospheric Science Letters.

[42]  J. Marengo,et al.  Climatic characteristics of the 2010-2016 drought in the semiarid Northeast Brazil region. , 2018, Anais da Academia Brasileira de Ciencias.

[43]  Tsegaye Tadesse,et al.  Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil , 2018, Remote Sensing of Environment.

[44]  Christopher J. Post,et al.  Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[45]  Daniel A. Vila,et al.  Evaluation of TRMM/GPM Blended Daily Products over Brazil , 2018, Remote. Sens..

[46]  J. Marengo,et al.  Frequency, duration and severity of drought in the Semiarid Northeast Brazil region , 2018 .

[47]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[48]  C. M. Santos e Silva,et al.  Climatology and trend analysis of extreme precipitation in subregions of Northeast Brazil , 2017, Theoretical and Applied Climatology.

[49]  J. Marengo,et al.  Drought in Northeast Brazil—past, present, and future , 2017, Theoretical and Applied Climatology.

[50]  Renhua Zhang,et al.  Regional Estimation of Remotely Sensed Evapotranspiration Using the Surface Energy Balance-Advection (SEB-A) Method , 2016, Remote. Sens..

[51]  José Agustín Breña-Naranjo,et al.  The Use of TRMM 3B42 Product for Drought Monitoring in Mexico , 2016 .

[52]  K. Madani,et al.  Understanding Drought Dynamics during Dry Season in Eastern Northeast Brazil , 2016, Front. Earth Sci..

[53]  J. Costa.  O FENÔMENO EL NIÑO E AS SECAS NO NORDESTE DO BRASIL , 2016 .

[54]  Yaning Chen,et al.  Dynamic changes in terrestrial net primary production and their effects on evapotranspiration , 2016 .

[55]  J. Servain,et al.  Oceanic Indices for Forecasting Seasonal Rainfall over the Northern Part of Brazilian Northeast , 2016 .

[56]  E. N. Nic Lughadha,et al.  A Phytogeographical Metaanalysis of the Semiarid Caatinga Domain in Brazil , 2016, The Botanical Review.

[57]  C. Nobre,et al.  Monitoring vegetative drought dynamics in the Brazilian semiarid region , 2015 .

[58]  B. Scanlon,et al.  Performance evaluation of rainfall estimates by TRMM Multi‐satellite Precipitation Analysis 3B42V6 and V7 over Brazil , 2015 .

[59]  J. Marengo,et al.  Regional differences in aridity/drought conditions over Northeast Brazil: present state and future projections , 2015, Climatic Change.

[60]  J. Servain,et al.  Tropical Atlantic Contributions to Strong Rainfall Variability Along the Northeast Brazilian Coast , 2015 .

[61]  Javier Tomasella,et al.  Identifying areas susceptible to desertification in the Brazilian northeast , 2014 .

[62]  N. Engle,et al.  Drought preparedness in Brazil , 2014 .

[63]  M. Brandt,et al.  Environmental change in time series – An interdisciplinary study in the Sahel of Mali and Senegal , 2014 .

[64]  J. Stape,et al.  Köppen's climate classification map for Brazil , 2013 .

[65]  Regina Célia dos Santos Alvalá,et al.  Land use and land cover map of a semiarid region of Brazil for meteorological and climatic models , 2013 .

[66]  N. Engle.  The role of drought preparedness in building and mobilizing adaptive capacity in states and their community water systems , 2013, Climatic Change.

[67]  S. Hastenrath.  Exploring the climate problems of Brazil’s Nordeste: a review , 2012, Climatic Change.

[68]  Alfredo Huete,et al.  A 20-year study of NDVI variability over the Northeast Region of Brazil , 2006 .

[69]  Hanqiu Xu.  Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery , 2006 .

[70]  D. Roy,et al.  An overview of MODIS Land data processing and product status , 2002 .

[71]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[72]  S. K. McFeeters.  The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[73]  A. Huete.  A soil-adjusted vegetation index (SAVI) , 1988 .

[74]  H. Kaiser.  The varimax criterion for analytic rotation in factor analysis , 1958 .

[75]  Lucas Costa de Souza Cavalcanti,et al.  The Semi-arid Domain of the Northeast of Brazil , 2019 .

[76]  C. A. Coelho,et al.  A Multimethod Attribution Analysis of the Prolonged Northeast Brazil Hydrometeorological Drought (2012–16) , 2018 .

[77]  Birgit Kleinschmit,et al.  Land change and loss of landscape diversity at the Caatinga phytogeographical domain – Analysis of pattern-process relationships with MODIS land cover products (2001–2012) , 2017 .

[78]  P. D’Odorico,et al.  Global desertification: Drivers and feedbacks , 2013 .

[79]  A. Güntner,et al.  Hydrological Impact of a High-Density Reservoir Network in Semiarid Northeastern Brazil , 2012 .

[80]  J. C. Santos,et al.  EMERGY EVALUATION OF SEMI-ARID WATERSHEDS UNDER DIFFERENT MANAGEMENT STRATEGIES , 2012 .