The World agriculture depends on water availability; thus, a successful water management system would assure food for the World. For several decades, the scientific community has developed methods to support water management. These models include the estimates of the main water loss in the system, i.e. the evapotranspiration (ET). In turn, the satellite technology encouraged the development of new models to monitor large regions. In this work, we present a modified ET estimation adapting the F parameter introduced by Venturini et al., in 2008. Additionally, a new simple index to estimate water stress (WS) for different types of surfaces, is also presented. The relative evaporation represented by F is derived from the soil moisture condition following the formulation of Barton and computed from the surface reflectance in the shortwave infrared bands (SWIR). The new ET and WS equations are applicable, with different satellite datasets, to any remote region since they are based on universal relationships. The preliminary results show errors of about 11% in ET. In general, the new WS index would have values of approximately 0.8 for a dry surface and 0.4 for a wet surface.
| Published in |
Agriculture, Forestry and Fisheries (Volume 3, Issue 6-1)
This article belongs to the Special Issue Agriculture Ecosystems and Environment |
| DOI | 10.11648/j.aff.s.2014030601.16 |
| Page(s) | 36-45 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Evapotranspiration, Water Stress, Remote Sensing, TIR, SWIR
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APA Style
Girolimetto Daniela, Venturini Virginia. (2014). Evapotranspiration and Water Stress Estimation from TIR and SWIR Bands. Agriculture, Forestry and Fisheries, 3(6-1), 36-45. https://doi.org/10.11648/j.aff.s.2014030601.16
ACS Style
Girolimetto Daniela; Venturini Virginia. Evapotranspiration and Water Stress Estimation from TIR and SWIR Bands. Agric. For. Fish. 2014, 3(6-1), 36-45. doi: 10.11648/j.aff.s.2014030601.16
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Download@article{10.11648/j.aff.s.2014030601.16,
author = {Girolimetto Daniela and Venturini Virginia},
title = {Evapotranspiration and Water Stress Estimation from TIR and SWIR Bands},
journal = {Agriculture, Forestry and Fisheries},
volume = {3},
number = {6-1},
pages = {36-45},
doi = {10.11648/j.aff.s.2014030601.16},
url = {https://doi.org/10.11648/j.aff.s.2014030601.16},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.s.2014030601.16},
abstract = {The World agriculture depends on water availability; thus, a successful water management system would assure food for the World. For several decades, the scientific community has developed methods to support water management. These models include the estimates of the main water loss in the system, i.e. the evapotranspiration (ET). In turn, the satellite technology encouraged the development of new models to monitor large regions. In this work, we present a modified ET estimation adapting the F parameter introduced by Venturini et al., in 2008. Additionally, a new simple index to estimate water stress (WS) for different types of surfaces, is also presented. The relative evaporation represented by F is derived from the soil moisture condition following the formulation of Barton and computed from the surface reflectance in the shortwave infrared bands (SWIR). The new ET and WS equations are applicable, with different satellite datasets, to any remote region since they are based on universal relationships. The preliminary results show errors of about 11% in ET. In general, the new WS index would have values of approximately 0.8 for a dry surface and 0.4 for a wet surface.},
year = {2014}
}
TY - JOUR T1 - Evapotranspiration and Water Stress Estimation from TIR and SWIR Bands AU - Girolimetto Daniela AU - Venturini Virginia Y1 - 2014/11/17 PY - 2014 N1 - https://doi.org/10.11648/j.aff.s.2014030601.16 DO - 10.11648/j.aff.s.2014030601.16 T2 - Agriculture, Forestry and Fisheries JF - Agriculture, Forestry and Fisheries JO - Agriculture, Forestry and Fisheries SP - 36 EP - 45 PB - Science Publishing Group SN - 2328-5648 UR - https://doi.org/10.11648/j.aff.s.2014030601.16 AB - The World agriculture depends on water availability; thus, a successful water management system would assure food for the World. For several decades, the scientific community has developed methods to support water management. These models include the estimates of the main water loss in the system, i.e. the evapotranspiration (ET). In turn, the satellite technology encouraged the development of new models to monitor large regions. In this work, we present a modified ET estimation adapting the F parameter introduced by Venturini et al., in 2008. Additionally, a new simple index to estimate water stress (WS) for different types of surfaces, is also presented. The relative evaporation represented by F is derived from the soil moisture condition following the formulation of Barton and computed from the surface reflectance in the shortwave infrared bands (SWIR). The new ET and WS equations are applicable, with different satellite datasets, to any remote region since they are based on universal relationships. The preliminary results show errors of about 11% in ET. In general, the new WS index would have values of approximately 0.8 for a dry surface and 0.4 for a wet surface. VL - 3 IS - 6-1 ER -
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