02987nam 2200865z- 450 991055760540332120231214133114.0(CKB)5400000000045349(oapen)https://directory.doabooks.org/handle/20.500.12854/76634(EXLCZ)99540000000004534920202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierArtificial Intelligence Methods Applied to Urban Remote Sensing and GISBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (165 p.)3-0365-1604-2 3-0365-1603-4 This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.Environmental science, engineering & technologybicsscgroundwater potentialspecific capacitymachine learningboosted treeensemble modelsprototype selectionriver pollutionsupervised classificationWSNprobabilistic methodMonte Carlo simulationphysical slope modelMt. Umyeon landslidesSeoulsynthetic aperture radarland subsidenceGIStime-seriesJakartaland subsidence susceptibility mappingtime-series InSARStaMPS processingseismic vulnerability mapDPM methodSentinel-1seismic literacyneural networksurban vegetationurban open spacesMonterrey Metropolitan Areasustainable developmentdeep learningtransfer learningartificial intelligenceremote sensingearth observationDInSARchange detectionspace data scienceEnvironmental science, engineering & technologyLee Chang-Wookedt1299448Han HyangsunedtLee HoonyoledtPark Yu-ChuledtLee Chang-WookothHan HyangsunothLee HoonyolothPark Yu-ChulothBOOK9910557605403321Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS3025176UNINA