Thu Apr 10, F. Flechtner
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AghaKouchak, A., Farahmand, A., Melton, F. S., Teixeira, J., Anderson, M. C., Wardlow, B. D., and Hain, C. R., 2015. Remote sensing of drought: Progress, challenges and opportunities. Reviews of Geophysics, 53(2):452–480, doi:10.1002/2014RG000456.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2015RvGeo..53..452A,
author = {{AghaKouchak}, A. and {Farahmand}, A. and {Melton}, F.~S. and {Teixeira}, J. and {Anderson}, M.~C. and {Wardlow}, B.~D. and {Hain}, C.~R.},
title = "{Remote sensing of drought: Progress, challenges and opportunities}",
journal = {Reviews of Geophysics},
keywords = {drought, remote sensing},
year = 2015,
month = jun,
volume = {53},
number = {2},
pages = {452-480},
abstract = "{This review surveys current and emerging drought monitoring approaches
using satellite remote sensing observations from climatological
and ecosystem perspectives. We argue that satellite observations
not currently used for operational drought monitoring, such as
near-surface air relative humidity data from the Atmospheric
Infrared Sounder mission, provide opportunities to improve early
drought warning. Current and future satellite missions offer
opportunities to develop composite and multi-indicator drought
models. While there are immense opportunities, there are major
challenges including data continuity, unquantified uncertainty,
sensor changes, and community acceptability. One of the major
limitations of many of the currently available satellite
observations is their short length of record. A number of
relevant satellite missions and sensors (e.g., the Gravity
Recovery and Climate Experiment) provide only a decade of data,
which may not be sufficient to study droughts from a climate
perspective. However, they still provide valuable information
about relevant hydrologic and ecological processes linked to
this natural hazard. Therefore, there is a need for models and
algorithms that combine multiple data sets and/or assimilate
satellite observations into model simulations to generate long-
term climate data records. Finally, the study identifies a major
gap in indicators for describing drought impacts on the carbon
and nitrogen cycle, which are fundamental to assessing drought
impacts on ecosystems.}",
doi = {10.1002/2014RG000456},
adsurl = {https://ui.adsabs.harvard.edu/abs/2015RvGeo..53..452A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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