Can remote sensing and sebal fill the gap on evapotranspiration? A case study: Kunduz catchment, Afghanistan

A. S. Frahmand; D. E. Akyuz; F. B. Sanli; F. B. Balcik

Can remote sensing and sebal fill the gap on evapotranspiration? A case study: Kunduz catchment, Afghanistan

A. S. Frahmand, D. E. Akyuz, F. B. Sanli^*, F. B. Balcik

^*Corresponding author for this work

Department of Geomatics Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Remote sensing-based approaches developed to solve the limits of direct measurement methods for Evapotranspiration (ET). The purpose of this study was to explore the capability of Landsat-8 OLI imagery and the Surface Energy Balance Algorithm for Land (SEBAL) model for estimating instantaneous (ET-Inst) and daily (ET-24) ET to fill the gap of ET estimation in lower part of Kunduz Catchment Afghanistan. 27th of September 2016 dated Landsat 8 OLI/TIRS data was used to calculate NDVI, LAI, LST and Surface Albedo values in the area. Pixel wise surface energy components including Net Radiation (Rn), Soil Heat Flux (G) and Sensible Heat Flux (H) were calculated for different land cover types. SEBAL results varied from 0.0 mm/day at bare lands where is no water or vegetation to 17.4 mm/day at snow cover. Accuracy of estimated ET from Landsat-8 OLI/TIRS was evaluated based on the observed data using Penman-Monteith (PM), Priestly and Taylor (PT), Makkink (MAK), Hargreaves (HS), Lin and Abtew (Abt) methods. PM has the lowest value for all statistical analysis methods and, it means that PM methods gave the closest results to SEBAL. Using remote sensing data with very limited observed data can calculate the spatial variation of ET, which is crucial for planning and determining the amount of available water in terms of catchment management.

Original language	English
Pages (from-to)	423-432
Number of pages	10
Journal	Journal of Environmental Protection and Ecology
Volume	21
Issue number	2
Publication status	Published - 2020

Bibliographical note

Publisher Copyright:
© 2020, Scibulcom Ltd.. All rights reserved.

Funding

Acknowledgements. Special thanks to Ministry of Energy and Water of Afghanistan for providing the meteorological data to complete the study, and thanks to Turks Abroad and Related Communities (YTB) scholarship provider, for financial support during the study period. This study is part of first author’s PhD thesis. The second author (DEA) was supported by Scientific Research Projects Coordination Unit of Istanbul University – Cerrahpasa for conference, Project number BEK-2016-22454. DEA would like to thank Scientific Research Projects Coordination Unit of Istanbul University – Cerrahpasa for their support. Special thanks to Ministry of Energy and Water of Afghanistan for providing the meteorological data to complete the study, and thanks to Turks Abroad and Related Communi-ties (YTB) scholarship provider, for financial support during the study period. This study is part of first author?s PhD thesis. The second author (DEA) was supported by Scientific Research Projects Coordination Unit of Istanbul University ? Cerrahpasa for conference, Project number BEK-2016-22454. DEA would like to thank Scientific Research Projects Coordination Unit of Istanbul University ? Cerrahpasa for their support.

Funders	Funder number
Istanbul University – Cerrahpasa	BEK-2016-22454
Ministry of Energy and Water of Afghanistan
Turks Abroad and Related Communi-ties
Turks Abroad and Related Communities
YTB
Istanbul Üniversitesi

Keywords

Afghanistan
Evapotranspiration
Kunduz catchment
Remote sens-ing
Surface Energy Balance Algorithm for Land (SEBAL)

Cite this

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title = "Can remote sensing and sebal fill the gap on evapotranspiration? A case study: Kunduz catchment, Afghanistan",

abstract = "Remote sensing-based approaches developed to solve the limits of direct measurement methods for Evapotranspiration (ET). The purpose of this study was to explore the capability of Landsat-8 OLI imagery and the Surface Energy Balance Algorithm for Land (SEBAL) model for estimating instantaneous (ET-Inst) and daily (ET-24) ET to fill the gap of ET estimation in lower part of Kunduz Catchment Afghanistan. 27th of September 2016 dated Landsat 8 OLI/TIRS data was used to calculate NDVI, LAI, LST and Surface Albedo values in the area. Pixel wise surface energy components including Net Radiation (Rn), Soil Heat Flux (G) and Sensible Heat Flux (H) were calculated for different land cover types. SEBAL results varied from 0.0 mm/day at bare lands where is no water or vegetation to 17.4 mm/day at snow cover. Accuracy of estimated ET from Landsat-8 OLI/TIRS was evaluated based on the observed data using Penman-Monteith (PM), Priestly and Taylor (PT), Makkink (MAK), Hargreaves (HS), Lin and Abtew (Abt) methods. PM has the lowest value for all statistical analysis methods and, it means that PM methods gave the closest results to SEBAL. Using remote sensing data with very limited observed data can calculate the spatial variation of ET, which is crucial for planning and determining the amount of available water in terms of catchment management.",

keywords = "Afghanistan, Evapotranspiration, Kunduz catchment, Remote sens-ing, Surface Energy Balance Algorithm for Land (SEBAL)",

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AU - Sanli, F. B.

AU - Balcik, F. B.

PY - 2020

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AB - Remote sensing-based approaches developed to solve the limits of direct measurement methods for Evapotranspiration (ET). The purpose of this study was to explore the capability of Landsat-8 OLI imagery and the Surface Energy Balance Algorithm for Land (SEBAL) model for estimating instantaneous (ET-Inst) and daily (ET-24) ET to fill the gap of ET estimation in lower part of Kunduz Catchment Afghanistan. 27th of September 2016 dated Landsat 8 OLI/TIRS data was used to calculate NDVI, LAI, LST and Surface Albedo values in the area. Pixel wise surface energy components including Net Radiation (Rn), Soil Heat Flux (G) and Sensible Heat Flux (H) were calculated for different land cover types. SEBAL results varied from 0.0 mm/day at bare lands where is no water or vegetation to 17.4 mm/day at snow cover. Accuracy of estimated ET from Landsat-8 OLI/TIRS was evaluated based on the observed data using Penman-Monteith (PM), Priestly and Taylor (PT), Makkink (MAK), Hargreaves (HS), Lin and Abtew (Abt) methods. PM has the lowest value for all statistical analysis methods and, it means that PM methods gave the closest results to SEBAL. Using remote sensing data with very limited observed data can calculate the spatial variation of ET, which is crucial for planning and determining the amount of available water in terms of catchment management.

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Can remote sensing and sebal fill the gap on evapotranspiration? A case study: Kunduz catchment, Afghanistan

Abstract

Bibliographical note

Funding

Keywords

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