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Remote sensing of the land surface during the African Monsoon Multidisciplinary Analysis (AMMA)

Domaine:

geospatialclimateenvironment and energy

Type de record:

paperdataset
Créateur:
KerGriBaiEym
Éditeur:
LabUniLabGéo
Éditeur:
CCSDWILEY
Hôte:avatar
International audience This article summarises the scientific results gained from the satellite observation of the land surface during African Monsoon Multidisciplinary Analysis (AMMA). Validation of existing satellite products as well as developments of new algorithms are reported, spanning surface and total soil moisture, surface energy balance and radiation fluxes, vegetation properties and land cover (LC). The use of remote sensing data for investigating land-atmosphere interactions, for retrieving the components of continental water cycle and for evaluating Land Surface Models (LSM) is illustrated. The contribution of satellite data to the detection of decadal trends is also highlighted, revealing intriguing results and open questions.

Visit

insu.hal.science

Tags

West AfricaAMMAremote sensingland surface[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology

Licenses

https://about.hal.science/hal-authorisation-v1/info:eu-repo/semantics/OpenAccess

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