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

Authors

Ali Ahmadalipour, Portland State UniversityFollow
Hamid Moradkhani, Portland State UniversityFollow
Hongxiang Yan, Pacific Northwest National LaboratoryFollow
Mahkameh Zarekarizi, Portland State University

Published In

Remote Sensing of Hydrological Extremes

Document Type

Citation

Publication Date

11-2016

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.

Description

Book chapter

Publisher: Springer International Publishing Switzerland

Locate the Document

http://dx.doi.org/10.1007/978-3-319-43744-6_7

DOI

10.1007/978-3-319-43744-6_7

Persistent Identifier

http://archives.pdx.edu/ds/psu/19365

Citation Details

Ahmadalipour, A., Moradkhani, H., Yan, H., & Zarekarizi, M. (2017). Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation. In Remote Sensing of Hydrological Extremes (pp. 121-149). Springer International Publishing.