LEADER 04276nam  2201105z- 450 
001 9910637780703321
005 20231214133204.0
010   $a3-0365-5700-8
035   $a(CKB)5470000001631730
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94529
035   $a(EXLCZ)995470000001631730
100   $a20202212d2022      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aRemote Sensing Analysis of Geologic Hazards
210   $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 electronic resource (254 p.)
311   $a3-0365-5699-0 
330   $aIn recent decades, classical survey approaches have evolved and with the advent of new technologies and platforms, remote sensing systems have become popular and widely used in geosciences. Contactless devices are not invasive and allow for measuring without accessing the investigated area. This is an excellent advantage as earth surface processes often occur in remote areas and can be potentially dangerous or difficult to access. Satellite remote sensing offers the possibility of using multi-band high-resolution data over large areas. Therefore, it can be of great support for natural risk monitoring and analysis at a regional scale. On the other hand, terrestrial systems feature high spatial and temporal resolutions, which can assist in observing the evolution of fast and potentially dangerous phenomena. Therefore, proximal sensing systems are of great value for risk assessment and early warning procedures of natural hazards. This book focuses on recent and upcoming advances in the remote and proximal sensing monitoring of geologic hazards, warning procedures, and new data-processing techniques.
606   $aResearch & information: general$2bicssc
606   $aGeography$2bicssc
610   $amulti-temporal interferometry
610   $amining
610   $asalt dissolution
610   $aMTInSAR
610   $asinkholes
610   $adigital image correlation
610   $atemplate matching
610   $anatural hazards
610   $asurface deformations
610   $aoptical remote sensing
610   $atime-lapse camera
610   $a3D point cloud
610   $avoxels
610   $asupervoxels
610   $arock slope management
610   $aclassification
610   $aknowledge extraction
610   $asemantics
610   $aobject-oriented
610   $achange detection
610   $aFengfeng mine
610   $amining deformation monitoring
610   $aMSBAS
610   $amultiplatform SAR data
610   $adense vegetation
610   $athreshold
610   $alandslide
610   $aearly warning system
610   $avelocity
610   $awater level
610   $aGNSS
610   $alava
610   $avolcanoes
610   $aPlanetScope
610   $aobject-based image analysis
610   $aSAR interferometry
610   $aslope instability
610   $aground stability monitoring
610   $aSentinel-1
610   $aCOSMO-SkyMed
610   $atime series analysis
610   $arainfall-triggered landslides
610   $atropics
610   $astatistical analysis
610   $aCHIRPS
610   $amulti-temporal image composite
610   $aJølster
610   $alandslide database
610   $aSentinel-2
610   $aGoogle Earth Engine
610   $aNDVI
610   $aglacial landscape
610   $aevolution characteristics
610   $astate of activity
610   $aearthquake
610   $arainfall
610   $athe Bailong River basin
615  7$aResearch & information: general
615  7$aGeography
700   $aGiordan$b Daniele$4edt$01319535
702   $aLuzi$b Guido$4edt
702   $aMonserrat$b Oriol$4edt
702   $aDematteis$b Niccolo?$4edt
702   $aGiordan$b Daniele$4oth
702   $aLuzi$b Guido$4oth
702   $aMonserrat$b Oriol$4oth
702   $aDematteis$b Niccolo?$4oth
906   $aBOOK
912   $a9910637780703321
996   $aRemote Sensing Analysis of Geologic Hazards$93033932
997   $aUNINA