Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine.
Carlos M. SouzaJulia Zanin ShimboMarcos R. RosaLeandro ParenteAne AlencarBernardo Friedrich Theodor RudorffHeinrich HasenackMarcelo MatsumotoLaerte G. FerreiraPedro Walfir M. Souza FilhoSergio W. de OliveiraWashington F. RochaAntônio V. FonsecaCamila Balzani MarquesCesar Guerreiro DinizDiego CostaDyeden MonteiroEduardo R. RosaEduardo Vélez-MartinEliseu J. WeberFelipe E. B. LentiFernando F. PaternostFrans G. C. PareynJoão V. SiqueiraJosé L. VieraLuiz C. Ferreira NetoMarciano SaraivaMarcio H. SalesMoisés P. G. SalgadoRodrigo VasconcelosSoltan GalanoVinicius V. MesquitaTasso AzevedoPublished in: Remote. Sens. (2020)
Keyphrases
- land cover
- remote sensing
- multispectral
- satellite images
- remote sensing images
- remote sensing data
- satellite imagery
- remotely sensed
- earth science
- change detection
- remotely sensed images
- land cover classification
- satellite data
- supervised classification
- remote sensing imagery
- high resolution
- multispectral images
- urban growth
- land cover change
- image analysis
- hyperspectral
- image processing
- high spatial resolution
- remotely sensed data
- spatial resolution
- geographic information systems
- hyperspectral images
- environmental variables
- landsat tm
- urban areas
- image data
- metadata
- database
- image segmentation
- thematic mapper
- learning algorithm
- databases