LEADER 03830nam 2200889z- 450 001 9910585942203321 005 20220812 035 $a(CKB)5600000000483060 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/91235 035 $a(oapen)doab91235 035 $a(EXLCZ)995600000000483060 100 $a20202208d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aImproving Flood Detection and Monitoring through Remote Sensing 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (158 p.) 311 08$a3-0365-3875-5 311 08$a3-0365-3876-3 330 $aAs climate-change- and human-induced floods inflict increasing costs upon the planet, both in terms of lives and environmental damage, flood monitoring tools derived from remote sensing platforms have undergone improvements in their performance and capabilities in terms of spectral, spatial and temporal extents and resolutions. Such improvements raise new challenges connected to data analysis and interpretation, in terms of, e.g., effectively discerning the presence of floodwaters in different land-cover types and environmental conditions or refining the accuracy of detection algorithms. In this sense, high expectations are placed on new methods that integrate information obtained from multiple techniques, platforms, sensors, bands and acquisition times. Moreover, the assessment of such techniques strongly benefits from collaboration with hydrological and/or hydraulic modeling of the evolution of flood events. The aim of this Special Issue is to provide an overview of recent advancements in the state of the art of flood monitoring methods and techniques derived from remotely sensed data. 606 $aEnvironmental science, engineering and technology$2bicssc 606 $aHistory of engineering and technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aALOS 2 610 $aclustering 610 $aCYGNSS 610 $aflood 610 $aflood detection 610 $aflood mapping 610 $aflood monitoring 610 $ageometric parameters 610 $aGNSS-R 610 $ahigh-water marks 610 $ahydrology 610 $aimage classification 610 $aimage processing 610 $ainundation 610 $alevee stability 610 $aLiDAR 610 $amobile mapping system 610 $amonsoon 610 $amulti-sensor integration 610 $amulti-temporal inundation analysis 610 $an/a 610 $aNorthern Kyushu floods 610 $aovertopping 610 $aPearl River Delta 610 $aPhilippines 610 $apoint clouds 610 $aRRI model 610 $aSAR 610 $asentinel-1 610 $aSentinel-1 610 $aSistan and Baluchestan 610 $asynthetic aperture radar 610 $aSynthetic Aperture Radar (SAR) 610 $atemporary flooded vegetation (TFV) 610 $atime series data 610 $aZambesi-Shire river basin 615 7$aEnvironmental science, engineering and technology 615 7$aHistory of engineering and technology 615 7$aTechnology: general issues 700 $aRefice$b Alberto$4edt$01332314 702 $aCapolongo$b Domenico$4edt 702 $aChini$b Marco$4edt 702 $aD'Addabbo$b Annarita$4edt 702 $aRefice$b Alberto$4oth 702 $aCapolongo$b Domenico$4oth 702 $aChini$b Marco$4oth 702 $aD'Addabbo$b Annarita$4oth 906 $aBOOK 912 $a9910585942203321 996 $aImproving Flood Detection and Monitoring through Remote Sensing$93040818 997 $aUNINA