Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass
Evapotranspiration estimates can be derived from remote sensing data and ancillary, mostly meterorological, information. For this purpose, two types of methods are classically used: the first type estimates a potential evapotranspiration rate from vegetation indices, and adjusts this rate according...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2012-08-01
|
Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/16/2995/2012/hess-16-2995-2012.pdf |
_version_ | 1819209779688505344 |
---|---|
author | E. Delogu G. Boulet A. Olioso B. Coudert J. Chirouze E. Ceschia V. Le Dantec O. Marloie G. Chehbouni J.-P. Lagouarde |
author_facet | E. Delogu G. Boulet A. Olioso B. Coudert J. Chirouze E. Ceschia V. Le Dantec O. Marloie G. Chehbouni J.-P. Lagouarde |
author_sort | E. Delogu |
collection | DOAJ |
description | Evapotranspiration estimates can be derived from remote sensing data and ancillary, mostly meterorological, information. For this purpose, two types of methods are classically used: the first type estimates a potential evapotranspiration rate from vegetation indices, and adjusts this rate according to water availability derived from either a surface temperature index or a first guess obtained from a rough estimate of the water budget, while the second family of methods relies on the link between the surface temperature and the latent heat flux through the surface energy budget. The latter provides an instantaneous estimate at the time of satellite overpass. In order to compute daily evapotranspiration, one needs an extrapolation algorithm. Since no image is acquired during cloudy conditions, these methods can only be applied during clear sky days. In order to derive seasonal evapotranspiration, one needs an interpolation method. Two combined interpolation/extrapolation methods based on the self preservation of evaporative fraction and the stress factor are compared to reconstruct seasonal evapotranspiration from instantaneous measurements acquired in clear sky conditions. Those measurements are taken from instantaneous latent heat flux from 11 datasets in Southern France and Morocco. Results show that both methods have comparable performances with a clear advantage for the evaporative fraction for datasets with several water stress events. Both interpolation algorithms tend to underestimate evapotranspiration due to the energy limiting conditions that prevail during cloudy days. Taking into account the diurnal variations of the evaporative fraction according to an empirical relationship derived from a previous study improved the performance of the extrapolation algorithm and therefore the retrieval of the seasonal evapotranspiration for all but one datasets. |
first_indexed | 2024-12-23T06:00:43Z |
format | Article |
id | doaj.art-7220bf4c38c542a48af7ffce5fc70a48 |
institution | Directory Open Access Journal |
issn | 1027-5606 1607-7938 |
language | English |
last_indexed | 2024-12-23T06:00:43Z |
publishDate | 2012-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Hydrology and Earth System Sciences |
spelling | doaj.art-7220bf4c38c542a48af7ffce5fc70a482022-12-21T17:57:41ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382012-08-011682995301010.5194/hess-16-2995-2012Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpassE. DeloguG. BouletA. OliosoB. CoudertJ. ChirouzeE. CeschiaV. Le DantecO. MarloieG. ChehbouniJ.-P. LagouardeEvapotranspiration estimates can be derived from remote sensing data and ancillary, mostly meterorological, information. For this purpose, two types of methods are classically used: the first type estimates a potential evapotranspiration rate from vegetation indices, and adjusts this rate according to water availability derived from either a surface temperature index or a first guess obtained from a rough estimate of the water budget, while the second family of methods relies on the link between the surface temperature and the latent heat flux through the surface energy budget. The latter provides an instantaneous estimate at the time of satellite overpass. In order to compute daily evapotranspiration, one needs an extrapolation algorithm. Since no image is acquired during cloudy conditions, these methods can only be applied during clear sky days. In order to derive seasonal evapotranspiration, one needs an interpolation method. Two combined interpolation/extrapolation methods based on the self preservation of evaporative fraction and the stress factor are compared to reconstruct seasonal evapotranspiration from instantaneous measurements acquired in clear sky conditions. Those measurements are taken from instantaneous latent heat flux from 11 datasets in Southern France and Morocco. Results show that both methods have comparable performances with a clear advantage for the evaporative fraction for datasets with several water stress events. Both interpolation algorithms tend to underestimate evapotranspiration due to the energy limiting conditions that prevail during cloudy days. Taking into account the diurnal variations of the evaporative fraction according to an empirical relationship derived from a previous study improved the performance of the extrapolation algorithm and therefore the retrieval of the seasonal evapotranspiration for all but one datasets.http://www.hydrol-earth-syst-sci.net/16/2995/2012/hess-16-2995-2012.pdf |
spellingShingle | E. Delogu G. Boulet A. Olioso B. Coudert J. Chirouze E. Ceschia V. Le Dantec O. Marloie G. Chehbouni J.-P. Lagouarde Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass Hydrology and Earth System Sciences |
title | Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass |
title_full | Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass |
title_fullStr | Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass |
title_full_unstemmed | Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass |
title_short | Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass |
title_sort | reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass |
url | http://www.hydrol-earth-syst-sci.net/16/2995/2012/hess-16-2995-2012.pdf |
work_keys_str_mv | AT edelogu reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT gboulet reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT aolioso reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT bcoudert reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT jchirouze reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT eceschia reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT vledantec reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT omarloie reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT gchehbouni reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass AT jplagouarde reconstructionoftemporalvariationsofevapotranspirationusinginstantaneousestimatesatthetimeofsatelliteoverpass |