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Erschienen in:
Satellite-Based Estimation of Water Discharge and Runoff in the Magdalena River, Northern Andes of Colombia Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

7. Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation

verfasst von : Ali Ahmadalipour, M.S., Hamid Moradkhani, Ph.D., Hongxiang Yan, M.S., Mahkameh Zarekarizi, M.S.

Erschienen in: Remote Sensing of Hydrological Extremes

Verlag: Springer International Publishing

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Abstract

Application of remote sensing is emerging for operational drought monitoring and early warning as it offers opportunities for assessing drought from different perspectives. This chapter provides an overview of the advances in monitoring different types of drought using satellite remote-sensing observations with an example on agricultural drought assessment over the continental U.S. While the main constraint in remote sensing of drought is attributed to limited duration of records, this can be overcome by merging the remote-sensing observations with model simulations through data assimilation. The application of data assimilation as a promising approach is described for drought monitoring over the Pacific Northwest US.

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Vorheriges Kapitel Near Real-Time Flood Monitoring and Impact Assessment Systems
Nächstes Kapitel Drought Monitoring and Assessment Using Remote Sensing
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Metadaten
Titel
Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation
verfasst von
Ali Ahmadalipour, M.S.
Hamid Moradkhani, Ph.D.
Hongxiang Yan, M.S.
Mahkameh Zarekarizi, M.S.
Copyright-Jahr
2017
Buch
Remote Sensing of Hydrological Extremes

Print ISBN: 978-3-319-43743-9

Electronic ISBN: 978-3-319-43744-6

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-43744-6_7