LEADER 01341oam 2200373 a 450 001 9910702041503321 005 20120824134954.0 035 $a(CKB)5470000002423714 035 $a(OCoLC)613998168 035 $a(EXLCZ)995470000002423714 100 $a20071221d2007 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2008-2015 Army CIO/G-6 campaign plan$b[electronic resource] $edelivering a joint net-centric information enterprise 210 1$aWashington, DC :$cDept. of the Army, Chief Information Officer/G-6,$d[2007] 215 $a1 online resource (31 pages) $ccolor illustrations 300 $aTitle from title screen (viewed on Dec. 21, 2007). 517 $a2008-2015 Army CIO/G-6 campaign plan 606 $aInteragency coordination$zUnited States 606 $aCommunications, Military$xPlanning 606 $aComputer networks$xSecurity measures$xGovernment policy$zUnited States 615 0$aInteragency coordination 615 0$aCommunications, Military$xPlanning. 615 0$aComputer networks$xSecurity measures$xGovernment policy 801 0$bZCU 801 1$bZCU 801 2$bGPO 906 $aBOOK 912 $a9910702041503321 996 $a2008-2015 Army CIO$93143203 997 $aUNINA LEADER 06215nam 2201861z- 450 001 9910557632803321 005 20220111 035 $a(CKB)5400000000045086 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77131 035 $a(oapen)doab77131 035 $a(EXLCZ)995400000000045086 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRemote Sensing in Hydrology and Water Resources Management 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (487 p.) 311 08$a3-0365-2701-X 311 08$a3-0365-2700-1 330 $aWater resources are the most valuable resources of sustainable socio-economic development, which is significantly affected by climate change and human activities. Water resources assessment is an urgent need for implementation of the perfect water resources management, but it is difficult to accurately evaluate the quantity and quality of water resources, especially in arid regions and high-altitude regions with sparse gauged data. This book hosts 24 papers devoted to remote sensing in hydrology and water resources management, which summarizes the recent advancement in remote sensing technology for hydrology analysis such as satellite remote sensing for water resources management, water quality monitoring and evaluation using remote sensing data, remote sensing for detecting the global impact of climate extremes, the use of remote sensing data for improved calibration of hydrological models, and so on. In general, the book will contribute to promote the application of remote sensing technology in water resources. 606 $aResearch & information: general$2bicssc 610 $a3DVar 610 $aaccuracy evaluation 610 $aactual evapotranspiration 610 $aAgMERRA 610 $aagricultural water management 610 $aairborne LiDAR 610 $aAPHRODITE 610 $aassimilation 610 $aavailable water resources 610 $abathymetry 610 $aBosten Lake Basin 610 $aCA-Markov model 610 $aCalifornia 610 $aChina 610 $aChina SE 610 $aChindwin basin 610 $aCHIRPS 610 $aclimate 610 $aclimate change 610 $acombined approach 610 $aconditional probability 610 $acopula function 610 $acrop water consumption 610 $aDAHITI 610 $adata assimilation 610 $aDEM 610 $adesert-oasis ecotone 610 $adownscaling 610 $aerror correction 610 $aestimation 610 $aevaluation 610 $aevapotranspiration 610 $aevapotranspiration allocation 610 $aextreme precipitation 610 $aflood inundation 610 $aflood map 610 $aflood model 610 $aGPM 610 $agroundwater change 610 $ahydrological applicability 610 $ahydrological changes 610 $ahydrological modelling 610 $ahydrological variations 610 $ahypsometry 610 $ainfluencing factors 610 $ainland water 610 $aIWCT 610 $alake 610 $alakes 610 $aLancang-Mekong river basin 610 $aland-use change 610 $aLandsat data 610 $alandscape pattern 610 $aLiDAR 610 $aLUE-GPP 610 $amicrowave data 610 $amodel constraint 610 $amodeling uncertainty 610 $amodified strahler approach 610 $aMODIS data 610 $aMSWEP 610 $amulti-objective optimization 610 $amulti-source 610 $amulti-variable calibration 610 $amultispectral 610 $an/a 610 $aneural network 610 $anonparametric modeling 610 $anormalized difference vegetation index 610 $aperformance evaluation 610 $aPERSIANN 610 $aPoyang Lake 610 $aprecipitation 610 $aprecipitation datasets 610 $arainfall erosivity 610 $aregional frequency analysis 610 $aremote sensing 610 $aremote sensing in hydrology 610 $aremote sensing model 610 $areservoirs 610 $asatellite data 610 $asatellite datasets 610 $asatellite-based rainfall product 610 $asemiarid area 610 $asoil moisture 610 $aspatial scale 610 $aspatiotemporal changes 610 $aSPEI 610 $asUAS 610 $asurface areas 610 $aSWAT 610 $aTarim River Basin 610 $atemporal resolution 610 $atemporal scale 610 $aterrestrial LiDAR 610 $aTianjin 610 $aTibetan Plateau 610 $aTMPA 3B42-V7 610 $atotal water storage change 610 $aTRMM 610 $auncertainty 610 $aunmanned aerial system 610 $avariability 610 $avegetation greening 610 $aVIP-RS model 610 $aviticulture 610 $avolume variations 610 $awater balance 610 $awater levels 610 $awater resources management 610 $awatershed 610 $aWRF 610 $aWRFDA 610 $aYangtze River 610 $aYellow River Basin 615 7$aResearch & information: general 700 $aDuan$b Weili$4edt$0928806 702 $aMaskey$b Shreedhar$4edt 702 $aChaffe$b Pedro Luiz Borges$4edt 702 $aLuo$b Pingping$4edt 702 $aHe$b Bin$4edt 702 $aWu$b Yiping$4edt 702 $aHou$b Jingming$4edt 702 $aDuan$b Weili$4oth 702 $aMaskey$b Shreedhar$4oth 702 $aChaffe$b Pedro Luiz Borges$4oth 702 $aLuo$b Pingping$4oth 702 $aHe$b Bin$4oth 702 $aWu$b Yiping$4oth 702 $aHou$b Jingming$4oth 906 $aBOOK 912 $a9910557632803321 996 $aRemote Sensing in Hydrology and Water Resources Management$93026531 997 $aUNINA