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

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Book cover Remote Sensing of Hydrological Extremes

Part of the book series: Springer Remote Sensing/Photogrammetry ((SPRINGERREMO))

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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Acknowledgment

Partial Financial supports for this work were provided by NOAA-MAPP program, grant NA140AR4310234 and National Science Foundation (NSF) (Grant No. CCF-1539605).

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Authors and Affiliations

  1. Remote Sensing and Water Resources Lab, Department of Civil and Environmental Engineering, Portland State University, 1930 SW 4th Ave., suite 200, Portland, OR, 97201, USA

    Ali Ahmadalipour M.S., Hamid Moradkhani Ph.D., Hongxiang Yan M.S. & Mahkameh Zarekarizi M.S.

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  1. Ali Ahmadalipour M.S.
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  2. Hamid Moradkhani Ph.D.
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  3. Hongxiang Yan M.S.
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  4. Mahkameh Zarekarizi M.S.
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Correspondence to Hamid Moradkhani Ph.D. .

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  1. Department of Geophysics, Stanford University, Stanford, California, USA

    Venkat Lakshmi

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Ahmadalipour, A., Moradkhani, H., Yan, H., Zarekarizi, M. (2017). Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation. In: Lakshmi, V. (eds) Remote Sensing of Hydrological Extremes. Springer Remote Sensing/Photogrammetry. Springer, Cham. https://doi.org/10.1007/978-3-319-43744-6_7

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