Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian.
Alexandre Maniçoba da Rosa Ferraz JardimGeorge do Nascimento Araújo JúniorMarcos Vinícius da SilvaAnderson dos SantosJhon Lennon Bezerra da SilvaHéliton PandorfiJosé Francisco de Oliveira-JúniorAntônio Heriberto de Castro TeixeiraPaulo Eduardo TeodoroJoão L. M. P. de LimaCarlos Antonio da Silva JuniorLuciana Sandra Bastos de SouzaEmanuel Araújo SilvaThieres George Freire da SilvaPublished in: Remote. Sens. (2022)
Keyphrases
- land cover
- remote sensing
- climate change
- urban growth
- remote sensing images
- multispectral
- change detection
- remote sensing imagery
- weather prediction
- remote sensing data
- land cover classification
- remotely sensed images
- satellite images
- satellite imagery
- satellite data
- remotely sensed
- image processing
- hyperspectral
- image analysis
- high spatial resolution
- remotely sensed data
- earth science
- high resolution
- supervised classification
- landsat tm
- geographic information systems
- geographical information systems
- hyperspectral images
- digital image analysis
- hyperspectral imagery
- spatial resolution
- image registration
- moving objects
- data sets