DYNA · 2020 · 13 citations · 10 references
Natural SciencesEarth SciencesPhysical GeographyClimatologyPlant EcologyRemote SensingLand Cover Change DetectionRemote Sensing Change DetectionRemote Sensing Image AnalysisVegetation Change DetectionVegetation IndicesVegetation MonitoringLeaf Area Index DynamicsRemote Sensing AnalysisSatellite Image AnalysisSatellite-based Vegetation MonitoringSpatial-temporal Vegetation AnalysisVegetation CoverVegetation Cover Change DetectionVegetation Cover Mapping
The Brazilian semiarid region is marked by water scarcity, which causes the loss of leaves from native vegetation to reduce transpiration. With the reduction of the Caatinga leaf area, the soil becomes more exposed, which makes it a great ally for environmental degradation. This study aimed to monitor and analyze the spatial-temporal dynamics of the Caatinga vegetation by orbital remote sensing in the semiarid region of Pernambuco, Brazil, in the rainy and dry season. The study was developed from Landsat-8 satellite images between the years 2013-2018. From the SEBAL algorithm, thematic maps of the biophysical parameters were determined: albedo and surface temperature, normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), and leaf area index (LAI). The results show that in the dry season, there is a greater aptitude for environmental degradation to occur.
10
Köppen's climate classification map for Brazil
Clayton Alcarde Álvares, José Luiz Stape, Paulo César Sentelhas et al. · Meteorologische Zeitschrift · 2013 · 11.8K citations · Full text
A soil-adjusted vegetation index (SAVI)
Alfredo Huete · Remote Sensing of Environment · 1988 · 7.7K citations