Remote Sensing and Digital Image Processing with R

• Main Authors: Alves, Marcelo de Carvalho, Sanches, Luciana
• Format: eBook Book
• Language: English
• Published: Boca Raton, FL CRC Press 2023; Taylor & Francis Group
• Edition: 1
• Subjects: Agriculture & Environmental Sciences; Big Data; Digital images; Earth Sciences; ENVIROnetBASE; Environmental Health; Environmental Remote Sensing; ENVIRONMENTALENGINEERINGnetBASE; ENVIRONMENTALSCIENCEnetBASE; Forestry; Geocomputation; Image Processing; Image processing > Digital techniques; R (Computer program language); R Packages, Software R; Remote Sensing; Remote sensing > Textbooks; Remote Sensing Applications; SCI-TECHnetBASE; Spatial Modeling; STMnetBASE; Water Science; Minas Gerais; Landsat-8 OLI Image; Spatial Modeling; False Color Composition; Altitude Class; Digital Image Processing; UTM Zone 23S; Coffee Leaf Rust; Random Forest; Sentinel-2 Imagery; ESRI Shapefile; Supervised Classification; Geocomputation; Image Processing; MODIS Sensor; Remote Sensing Process; Unsupervised Classification; Vegetation Index; R Packages, Software R; Big Data; Spatial Decision Support Systems; Remote Sensing; NDWI; Brightness Temperature; Landsat-8 OLI; Remote Sensing Applications; DMSP OLS; Environmental Remote Sensing; Brazilian Soil Classification System; Moisture Content; AP Algorithm; Saga GIS

This new textbook on remote sensing and digital image processing of natural resources includes numerous, practical problem-solving exercises and applications of sensors and satellite systems using remote sensing data collection resources, and emphasizes the free and open-source platform R. It explai...