03004nam 2200877z- 450 991055760540332120220111(CKB)5400000000045349(oapen)https://directory.doabooks.org/handle/20.500.12854/76634(oapen)doab76634(EXLCZ)99540000000004534920202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierArtificial Intelligence Methods Applied to Urban Remote Sensing and GISBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online 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 & technologybicsscartificial intelligenceboosted treechange detectiondeep learningDInSARDPM methodearth observationensemble modelsGISgroundwater potentialJakartaland subsidenceland subsidence susceptibility mappingmachine learningMonte Carlo simulationMonterrey Metropolitan AreaMt. Umyeon landslidesneural networksphysical slope modelprobabilistic methodprototype selectionremote sensingriver pollutionseismic literacyseismic vulnerability mapSentinel-1Seoulspace data sciencespecific capacityStaMPS processingsupervised classificationsustainable developmentsynthetic aperture radartime-seriestime-series InSARtransfer learningurban open spacesurban vegetationWSNEnvironmental science, engineering & technologyLee Chang-Wookedt1299448Han HyangsunedtLee HoonyoledtPark Yu-ChuledtLee Chang-WookothHan HyangsunothLee HoonyolothPark Yu-ChulothBOOK9910557605403321Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS3025176UNINA