A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation

An approach to combining remote sensing spectral measurements with an ecosystem process model is presented. In this approach, the ecosystem model is not bound by the sole use of satellite data, but integrates the latter in an explicit formulation of the main processes of vegetation functioning. A close analysis of the relationships between processes described by the model and spectral measurements can therfore be carried out, and the capability of the model to be driven by remote sensing can also be investigated. This first article presents a regional ecosystem process model for Sahelian regions. The model describes a herbaceous layer composed of only annual species. The process of the soil-plant-atmosphere system, such as water fluxes in the soil, evaporation, transpiration, photosynthesis, respiration, senescence, litter production, and litter decomposition at the soil surface, are modeled. Moreover, structural parameters such as vegetation cover fraction, LAI, and canopy height, which are essential parameters for coupling with physical models of reflectivity, are also simulated. Comparison with aboveground biomass measured between 1976 and 1992 at a regional scale in two different regions of the Sahel, namely, Ferlo in Senegal and Gourma in Mali, shows that the model is able to simulate the temporal evolution of the aboveground biomass components.

Saved in:
Bibliographic Details
Main Authors: Mougin, E., Seen, D. lo, Rumbal, S., Gaston, A., Hiernaux, Pierre H.Y.
Format: Journal Article biblioteca
Language:English
Published: Elsevier 1995-06
Subjects:grasslands, remote sensing, communication technology, models, water balance, canopy, biomass, geology,
Online Access:https://hdl.handle.net/10568/29553
https://doi.org/10.1016/0034-4257(94)00126-8
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cgspace-10568-29553
record_format koha
spelling dig-cgspace-10568-295532023-12-08T19:36:04Z A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation Mougin, E. Seen, D. lo Rumbal, S. Gaston, A. Hiernaux, Pierre H.Y. grasslands remote sensing communication technology models water balance canopy biomass geology An approach to combining remote sensing spectral measurements with an ecosystem process model is presented. In this approach, the ecosystem model is not bound by the sole use of satellite data, but integrates the latter in an explicit formulation of the main processes of vegetation functioning. A close analysis of the relationships between processes described by the model and spectral measurements can therfore be carried out, and the capability of the model to be driven by remote sensing can also be investigated. This first article presents a regional ecosystem process model for Sahelian regions. The model describes a herbaceous layer composed of only annual species. The process of the soil-plant-atmosphere system, such as water fluxes in the soil, evaporation, transpiration, photosynthesis, respiration, senescence, litter production, and litter decomposition at the soil surface, are modeled. Moreover, structural parameters such as vegetation cover fraction, LAI, and canopy height, which are essential parameters for coupling with physical models of reflectivity, are also simulated. Comparison with aboveground biomass measured between 1976 and 1992 at a regional scale in two different regions of the Sahel, namely, Ferlo in Senegal and Gourma in Mali, shows that the model is able to simulate the temporal evolution of the aboveground biomass components. 1995-06 2013-06-11T09:23:58Z 2013-06-11T09:23:58Z Journal Article Remote Sensing of Environment;52(3): 181-193 0034-4257 https://hdl.handle.net/10568/29553 https://doi.org/10.1016/0034-4257(94)00126-8 en Copyrighted; all rights reserved Limited Access p. 181-193 Elsevier Remote Sensing of Environment
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic grasslands
remote sensing
communication technology
models
water balance
canopy
biomass
geology
grasslands
remote sensing
communication technology
models
water balance
canopy
biomass
geology
spellingShingle grasslands
remote sensing
communication technology
models
water balance
canopy
biomass
geology
grasslands
remote sensing
communication technology
models
water balance
canopy
biomass
geology
Mougin, E.
Seen, D. lo
Rumbal, S.
Gaston, A.
Hiernaux, Pierre H.Y.
A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation
description An approach to combining remote sensing spectral measurements with an ecosystem process model is presented. In this approach, the ecosystem model is not bound by the sole use of satellite data, but integrates the latter in an explicit formulation of the main processes of vegetation functioning. A close analysis of the relationships between processes described by the model and spectral measurements can therfore be carried out, and the capability of the model to be driven by remote sensing can also be investigated. This first article presents a regional ecosystem process model for Sahelian regions. The model describes a herbaceous layer composed of only annual species. The process of the soil-plant-atmosphere system, such as water fluxes in the soil, evaporation, transpiration, photosynthesis, respiration, senescence, litter production, and litter decomposition at the soil surface, are modeled. Moreover, structural parameters such as vegetation cover fraction, LAI, and canopy height, which are essential parameters for coupling with physical models of reflectivity, are also simulated. Comparison with aboveground biomass measured between 1976 and 1992 at a regional scale in two different regions of the Sahel, namely, Ferlo in Senegal and Gourma in Mali, shows that the model is able to simulate the temporal evolution of the aboveground biomass components.
format Journal Article
topic_facet grasslands
remote sensing
communication technology
models
water balance
canopy
biomass
geology
author Mougin, E.
Seen, D. lo
Rumbal, S.
Gaston, A.
Hiernaux, Pierre H.Y.
author_facet Mougin, E.
Seen, D. lo
Rumbal, S.
Gaston, A.
Hiernaux, Pierre H.Y.
author_sort Mougin, E.
title A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation
title_short A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation
title_full A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation
title_fullStr A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation
title_full_unstemmed A regional sahelian grassland model to be coupled with multispectral satellite data. I. Model description and validation
title_sort regional sahelian grassland model to be coupled with multispectral satellite data. i. model description and validation
publisher Elsevier
publishDate 1995-06
url https://hdl.handle.net/10568/29553
https://doi.org/10.1016/0034-4257(94)00126-8
work_keys_str_mv AT mougine aregionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT seendlo aregionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT rumbals aregionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT gastona aregionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT hiernauxpierrehy aregionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT mougine regionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT seendlo regionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT rumbals regionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT gastona regionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
AT hiernauxpierrehy regionalsaheliangrasslandmodeltobecoupledwithmultispectralsatellitedataimodeldescriptionandvalidation
_version_ 1787227869500407808