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

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Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management

Part of the book series: Water Science and Technology Library ((WSTL,volume 105))

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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 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 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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Acknowledgements

Authors thank the grant No. 2579 of the Albert II of Monaco Foundation. VD thanks the Mexican National Council for Science and Technology (CONACYT) and Alianza FiiDEM for the study grand 217776/382365.

Author Contributions

A.K.: conceptualization, methodology, investigation, data processing, validation, software, writing—original draft; G.A.C.P.: conceptualization, project administration, supervision, review; V.D.: conceptualization, methodology, data processing, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

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Authors and Affiliations

  1. IHE Delft Institute for Water Education, Delft, The Netherlands

    Ali Khoshnazar, Gerald Augusto Corzo Perez & Vitali Diaz

  2. Water Resources Section, Delft University of Technology, Delft, The Netherlands

    Vitali Diaz

Authors
  1. Ali Khoshnazar
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  2. Gerald Augusto Corzo Perez
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  3. Vitali Diaz
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Corresponding author

Correspondence to Ali Khoshnazar .

Editor information

Editors and Affiliations

  1. Department of Biological and Agricultural Engineering, Zachry Department of Civil and Environment Engineering, Texas A&M University, College Station, TX, USA

    Vijay P. Singh

  2. Department of Civil Engineering, Rabindranath Tagore University, Bhopal, Madhya Pradesh, India

    Shalini Yadav

  3. Faculty of Science, Madhyanchal Professional University, Bhopal, India

    Krishna Kumar Yadav

  4. IHE Delft Institute for Water Education, Delft, The Netherlands

    Gerald Augusto Corzo Perez

  5. The School of Natural Resources and Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA

    Francisco Muñoz-Arriola

  6. Madhyanchal Professional University, Bhopal, India

    Ram Narayan Yadava

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Khoshnazar, A., Corzo Perez, G.A., Diaz, V. (2022). Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment. In: Singh, V.P., Yadav, S., Yadav, K.K., Corzo Perez, G.A., Muñoz-Arriola, F., Yadava, R.N. (eds) Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management. Water Science and Technology Library, vol 105. Springer, Cham. https://doi.org/10.1007/978-3-031-14096-9_10

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