000777836 000__ 04354cam\a2200481Mi\4500 000777836 001__ 777836 000777836 005__ 20230306142736.0 000777836 006__ m\\\\\o\\d\\\\\\\\ 000777836 007__ cr\nn\nnnunnun 000777836 008__ 161110s2017\\\\sz\\\\\\o\\\\\001\0\eng\d 000777836 019__ $$a962325094 000777836 020__ $$a9783319437446$$q(electronic book) 000777836 020__ $$a3319437445$$q(electronic book) 000777836 020__ $$z9783319437439 000777836 020__ $$z3319437437 000777836 0247_ $$a10.1007/978-3-319-43744-6$$2doi 000777836 035__ $$aSP(OCoLC)ocn970682027 000777836 035__ $$aSP(OCoLC)970682027$$z(OCoLC)962325094 000777836 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCQ$$dIDEBK$$dN$T$$dOCLCF$$dCNCGM$$dUAB$$dCOO$$dOCLCQ$$dSTF$$dIOG 000777836 049__ $$aISEA 000777836 050_4 $$aGB848 000777836 08204 $$a551.480285$$223 000777836 24500 $$aRemote sensing of hydrological extremes /$$cVenkat Lakshmi, editor. 000777836 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint :$$bSpringer,$$c2017. 000777836 300__ $$a1 online resource (xiv, 251 pages) :$$billustrations. 000777836 336__ $$atext$$btxt$$2rdacontent 000777836 337__ $$acomputer$$bc$$2rdamedia 000777836 338__ $$aonline resource$$bcr$$2rdacarrier 000777836 4901_ $$aSpringer remote sensing/photogrammetry,$$x2198-0721 000777836 500__ $$aIncludes index. 000777836 5050_ $$aPart 1 Floods -- Chapter 1 Satellite-based estimation Of water discharge and runoff In the Magdalena River, Northern Andes Of Colombia -- Chapter 2 Remote sensing of drivers of spring snowmelt flooding in the North Central US -- Chapter 3 The NASA Global Flood Mapping System -- Chapter 4 Congo flood plain hydraulics with PALSAR InSAR and Envisat Altimetry data -- Chapter 5 Optical and physical methods for mapping flooding with satellite imagery -- Chapter 6 Near real time flood monitoring and impact assessment systems -- Part 2 Droughts -- Chapter 7 Remote sensing of drought: Vegetation, soil moisture and data assimilation -- Chapter 8 Drought monitoring and assessment using remote sensing -- Chapter 9 A framework for assessing soil moisture deficit, and crop water stress at multiple space and time scales under climate change scenarios using model platform, satellite remote sensing and decision support system -- Chapter 10 Monitoring drought in Brazil using remote sensing -- Chapter 11 Multi-sensor remote sensing of drought from space. . 000777836 506__ $$aAccess limited to authorized users. 000777836 520__ $$aThis volume provides in-depth coverage of the latest in remote sensing of hydrological extremes: both floods and droughts. The book is divided into two distinct sections ? floods and droughts ? and offers a variety of techniques for monitoring each. With rapid advances in computer modelling and observing systems, floods and droughts are studied with greater precision today than ever before. Land surface models, especially over the entire Continental United States, can map the hydrological cycle at kilometre and sub-kilometre scales. In the case of smaller areas there is even higher spatial resolution and the only limiting factor is the resolution of input data. In-situ sensors are automated and the data is directly relayed to the world wide web for many hydrological variables such as precipitation, soil moisture, surface temperature and heat fluxes. In addition, satellite remote sensing has advanced to providing twice a day repeat observations at kilometre to ten-kilometre spatial scales. We are at a critical juncture in the study of hydrological extremes, and the GPM and SMAP missions as well as the MODIS and GRACE sensors give us more tools and data than were ever available before. A global variety of chapter authors provides wide-ranging perspectives and case studies that will make this book an indispensable resource for researchers, engineers, and even emergency management and insurance professionals who study and/or manage hydrological extremes. 000777836 588__ $$aDescription based on print version record. 000777836 650_0 $$aHydrologic cycle$$xRemote sensing. 000777836 650_0 $$aHydrological surveys. 000777836 7001_ $$aLakshmi, Venkat,$$eeditor. 000777836 77608 $$iPrint version:$$tRemote sensing of hydrological extremes.$$d[Switzerland] : Springer, ©2017$$z3319437437$$z9783319437439$$w(OCoLC)952788124 000777836 830_0 $$aSpringer remote sensing/photogrammetry. 000777836 85280 $$bebk$$hSpringerLink 000777836 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-43744-6$$zOnline Access$$91397441.1 000777836 909CO $$ooai:library.usi.edu:777836$$pGLOBAL_SET 000777836 980__ $$aEBOOK 000777836 980__ $$aBIB 000777836 982__ $$aEbook 000777836 983__ $$aOnline 000777836 994__ $$a92$$bISE