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The Resource Remote Sensing of Hydrological Extremes, edited by Venkat Lakshmi, (electronic resource)

Remote Sensing of Hydrological Extremes, edited by Venkat Lakshmi, (electronic resource)

Label
Remote Sensing of Hydrological Extremes
Title
Remote Sensing of Hydrological Extremes
Statement of responsibility
edited by Venkat Lakshmi
Contributor
Editor
Subject
Language
eng
Summary
This 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 {u2013} floods and droughts {u2013} 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
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0
Literary form
non fiction
Series statement
Springer Remote Sensing/Photogrammetry,
Remote Sensing of Hydrological Extremes, edited by Venkat Lakshmi, (electronic resource)
Label
Remote Sensing of Hydrological Extremes, edited by Venkat Lakshmi, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=http://dx.doi.org/10.1007/978-3-319-43744-6
Publication
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Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Part 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.
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https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783319437446&userID=ebsco-test&password=ebsco-test
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unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4258671'}
Extent
XIV, 251 p. 74 illus., 71 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319437446
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote

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