Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment

Ali  Khoshnazar; Gerald A. Corzo Perez; Vitali Diaz

doi:https://doi.org/10.1007/978-3-031-14096-9_10

Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment

Ali Khoshnazar^*, Gerald A. Corzo Perez, Vitali Diaz

^*Corresponding author for this work

Water Resources

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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Abstract

Drought directly impacts the living organisms and environment, and thereby, its assessment is essential. Different drought indices require different data, which can be obtained based on models or in-situ measurements, demanding a significant amount of effort. Using remotely sensed (RS) data from satellites can facilitate this data acquisition. Nowadays, more and more satellite techniques are rising, highlighting the need to assess the accuracy of their data and the reliability of the results obtained by employing them. The Wet-environment Evapotranspiration Precipitation Standardized Index (WEPSI) has shown good performance in drought monitoring and assessment, especially for agricultural purposes. This chapter employs the Global Land Evaporation Amsterdam Model (GLEAM) data to investigate its applicability in the Lempa River basin drought assessment using WEPSI. In this order, evaluated data obtained from the Water Evaluation and Planning system (WEAP) were used as the basis for comparison. Precisely, a comparison was made with GLEAM and WEAP-based data as well as WEPSI time series based on these two datasets. The results show a relatively high similarity between these two datasets and calculated WEPSI drought indices. This validates the good performance of GLEAM-based data in drought monitoring and assessment based on WEPSI.

Original language	English
Title of host publication	Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management
Subtitle of host publication	Water Science and Technology Library
Editors	Vijay P. Singh, Shalini Yadav, Krishna Kumar Yadav, Gerald Augusto Corzo Perez, Francisco Muñoz-Arriola, Ram Narayan Yadava
Chapter	10
Pages	197-215
Number of pages	19
Volume	105
ISBN (Electronic)	978-3-031-14096-9
DOIs	https://doi.org/10.1007/978-3-031-14096-9_10
Publication status	Published - 2023

Publication series

Name	Water Science and Technology Library
Publisher	Springer
ISSN (Print)	0921-092X
ISSN (Electronic)	1872-4663

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Remote sensing
GLEAM
Drought index
WEPSI
Drought assessment
Drought monitoring
Drought analysis
Agricultural drought
WEAP
Lempa River basin

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://doi.org/10.1007/978-3-031-14096-9_10Licence: Other

Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought AssessmentFinal published version, 1.03 MB

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Khoshnazar, A., Corzo Perez, G. A., & Diaz, V. (2023). Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment. In V. P. Singh, S. Yadav, K. K. Yadav, G. A. Corzo Perez, F. Muñoz-Arriola, & R. N. Yadava (Eds.), Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management: Water Science and Technology Library (Vol. 105, pp. 197-215). (Water Science and Technology Library). https://doi.org/10.1007/978-3-031-14096-9_10

Khoshnazar, Ali ; Corzo Perez, Gerald A. ; Diaz, Vitali. / Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment. Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management: Water Science and Technology Library. editor / Vijay P. Singh ; Shalini Yadav ; Krishna Kumar Yadav ; Gerald Augusto Corzo Perez ; Francisco Muñoz-Arriola ; Ram Narayan Yadava. Vol. 105 2023. pp. 197-215 (Water Science and Technology Library).

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title = "Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment",

abstract = "Drought directly impacts the living organisms and environment, and thereby, its assessment is essential. Different drought indices require different data, which can be obtained based on models or in-situ measurements, demanding a significant amount of effort. Using remotely sensed (RS) data from satellites can facilitate this data acquisition. Nowadays, more and more satellite techniques are rising, highlighting the need to assess the accuracy of their data and the reliability of the results obtained by employing them. The Wet-environment Evapotranspiration Precipitation Standardized Index (WEPSI) has shown good performance in drought monitoring and assessment, especially for agricultural purposes. This chapter employs the Global Land Evaporation Amsterdam Model (GLEAM) data to investigate its applicability in the Lempa River basin drought assessment using WEPSI. In this order, evaluated data obtained from the Water Evaluation and Planning system (WEAP) were used as the basis for comparison. Precisely, a comparison was made with GLEAM and WEAP-based data as well as WEPSI time series based on these two datasets. The results show a relatively high similarity between these two datasets and calculated WEPSI drought indices. This validates the good performance of GLEAM-based data in drought monitoring and assessment based on WEPSI.",

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Khoshnazar, A, Corzo Perez, GA & Diaz, V 2023, Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment. in VP Singh, S Yadav, KK Yadav, GA Corzo Perez, F Muñoz-Arriola & RN Yadava (eds), Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management: Water Science and Technology Library. vol. 105, Water Science and Technology Library, pp. 197-215. https://doi.org/10.1007/978-3-031-14096-9_10

Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment. / Khoshnazar, Ali ; Corzo Perez, Gerald A.; Diaz, Vitali.
Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management: Water Science and Technology Library. ed. / Vijay P. Singh; Shalini Yadav; Krishna Kumar Yadav; Gerald Augusto Corzo Perez; Francisco Muñoz-Arriola; Ram Narayan Yadava. Vol. 105 2023. p. 197-215 (Water Science and Technology Library).

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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AU - Khoshnazar, Ali

AU - Corzo Perez, Gerald A.

AU - Diaz, Vitali

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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N2 - Drought directly impacts the living organisms and environment, and thereby, its assessment is essential. Different drought indices require different data, which can be obtained based on models or in-situ measurements, demanding a significant amount of effort. Using remotely sensed (RS) data from satellites can facilitate this data acquisition. Nowadays, more and more satellite techniques are rising, highlighting the need to assess the accuracy of their data and the reliability of the results obtained by employing them. The Wet-environment Evapotranspiration Precipitation Standardized Index (WEPSI) has shown good performance in drought monitoring and assessment, especially for agricultural purposes. This chapter employs the Global Land Evaporation Amsterdam Model (GLEAM) data to investigate its applicability in the Lempa River basin drought assessment using WEPSI. In this order, evaluated data obtained from the Water Evaluation and Planning system (WEAP) were used as the basis for comparison. Precisely, a comparison was made with GLEAM and WEAP-based data as well as WEPSI time series based on these two datasets. The results show a relatively high similarity between these two datasets and calculated WEPSI drought indices. This validates the good performance of GLEAM-based data in drought monitoring and assessment based on WEPSI.

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KW - Drought analysis

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KW - WEAP

KW - Lempa River basin

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Khoshnazar A, Corzo Perez GA, Diaz V. Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment. In Singh VP, Yadav S, Yadav KK, Corzo Perez GA, Muñoz-Arriola F, Yadava RN, editors, Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management: Water Science and Technology Library. Vol. 105. 2023. p. 197-215. (Water Science and Technology Library). doi: https://doi.org/10.1007/978-3-031-14096-9_10

Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this