Remote Sensing and Digital Image Processing with R - Lab Manual

• 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; Digital images > Data processing; Earth Sciences; ENVIROnetBASE; Environmental Health; Environmental Remote Sensing; ENVIRONMENTALENGINEERINGnetBASE; ENVIRONMENTALSCIENCEnetBASE; Geocomputation; GIS, Remote Sensing & Cartography; Image Processing; R (Computer program language); R Packages, Software R; Remote sensing; Remote sensing > Data processing; Remote Sensing Applications; SCI-TECHnetBASE; Spatial Modeling; STMnetBASE; Water Science; Landsat-8 OLI Image; Spatial Modeling; False Color Composition; Tasseled Cap Components; RGB Image; Original RGB Image; NDVI Result; Soil Organic Carbon; UTM Zone 23S; Radar Topography Mission Digital Elevation; NDVI; ESRI Shapefile; Supervised Classification; Coffee Crops; Geocomputation; RGB Band; Dn Image; Image Processing; Aster GDEM; R Packages, Software R; Hybrid Classification Approach; Big Data; NDWI; Landsat-8 OLI; Remote Sensing Applications; OLI Sensor; MNDWI; SRTM Data; Environmental Remote Sensing; GNDVI; Moisture Content; Earth Observation Satellites
• ISBN: 1032461241; 9781032461243; 1000895440; 9781000895445
• DOI: 10.1201/9781003380412

A companion to Remote Sensing and Digital Image Processing with R, this lab manual covers examples of natural resource data analysis applications including practical, problem-solving exercises and case studies that use the free and open-source platform R.