Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin

Nivin Abdelrahim Hasan; Yang Dongkai; Fayha Al-Shibli

doi:10.1007/978-981-97-7766-2_4

Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin

Nivin Abdelrahim Hasan^*
, Yang Dongkai
, Fayha Al-Shibli

^*Corresponding author for this work

School of Electronic and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In sparse climatic data dry regions where calculated drought indices are incompatible and inefficient which leads to insistence on precise indices that are used to assess drought for monitoring. This study acquired remotely sensed images from Landsat-5, 7, and 8 under different periods from 1985 to 2021 in the Amman-Zarqa Basin (AZB). The normalized difference vegetation index (NDVI), and theVegetation Condition Index (VCI) were employed to monitor the spatial distribution and temporal evolution of drought conditions in AZB. The findings suggest that mild to moderate drought in the northeast and southeast parts of the basin emerged. From a temporal perspective, most basin parts exhibited relative fluctuations in drought intensity over the past 35 years. The third quarter blushed negative NDVI values and was dominated by reducing green cover and land productivity. Drought frequency based on VCI analysed, and indicated that light drought areas became moderate and severe drought areas.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Geosynthetics and Environmental Engineering - ICGEE 2024
Editors	Han-Yong Jeon
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	45-58
Number of pages	14
ISBN (Print)	9789819777655
DOIs	https://doi.org/10.1007/978-981-97-7766-2_4
State	Published - 2025
Event	2nd International Conference on Geosynthetics and Environmental Engineering, ICGEE 2024 - Busan, Korea, Republic of Duration: 19 Apr 2024 → 20 Apr 2024

Publication series

Name	Lecture Notes in Civil Engineering
Volume	396 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	2nd International Conference on Geosynthetics and Environmental Engineering, ICGEE 2024
Country/Territory	Korea, Republic of
City	Busan
Period	19/04/24 → 20/04/24

UN SDGs

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

SDG 15 Life on Land

Keywords

NDVI
Remote Sensing Images
VCI

Access to Document

10.1007/978-981-97-7766-2_4

Cite this

Hasan, N. A., Dongkai, Y., & Al-Shibli, F. (2025). Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin. In H.-Y. Jeon (Ed.), Proceedings of the 2nd International Conference on Geosynthetics and Environmental Engineering - ICGEE 2024 (pp. 45-58). (Lecture Notes in Civil Engineering; Vol. 396 LNCE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-7766-2_4

Hasan, Nivin Abdelrahim ; Dongkai, Yang ; Al-Shibli, Fayha. / Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin. Proceedings of the 2nd International Conference on Geosynthetics and Environmental Engineering - ICGEE 2024. editor / Han-Yong Jeon. Springer Science and Business Media Deutschland GmbH, 2025. pp. 45-58 (Lecture Notes in Civil Engineering).

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title = "Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin",

abstract = "In sparse climatic data dry regions where calculated drought indices are incompatible and inefficient which leads to insistence on precise indices that are used to assess drought for monitoring. This study acquired remotely sensed images from Landsat-5, 7, and 8 under different periods from 1985 to 2021 in the Amman-Zarqa Basin (AZB). The normalized difference vegetation index (NDVI), and theVegetation Condition Index (VCI) were employed to monitor the spatial distribution and temporal evolution of drought conditions in AZB. The findings suggest that mild to moderate drought in the northeast and southeast parts of the basin emerged. From a temporal perspective, most basin parts exhibited relative fluctuations in drought intensity over the past 35 years. The third quarter blushed negative NDVI values and was dominated by reducing green cover and land productivity. Drought frequency based on VCI analysed, and indicated that light drought areas became moderate and severe drought areas.",

keywords = "NDVI, Remote Sensing Images, VCI",

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note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 2nd International Conference on Geosynthetics and Environmental Engineering, ICGEE 2024 ; Conference date: 19-04-2024 Through 20-04-2024",

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Hasan, NA, Dongkai, Y & Al-Shibli, F 2025, Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin. in H-Y Jeon (ed.), Proceedings of the 2nd International Conference on Geosynthetics and Environmental Engineering - ICGEE 2024. Lecture Notes in Civil Engineering, vol. 396 LNCE, Springer Science and Business Media Deutschland GmbH, pp. 45-58, 2nd International Conference on Geosynthetics and Environmental Engineering, ICGEE 2024, Busan, Korea, Republic of, 19/04/24. https://doi.org/10.1007/978-981-97-7766-2_4

Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin. / Hasan, Nivin Abdelrahim; Dongkai, Yang; Al-Shibli, Fayha.
Proceedings of the 2nd International Conference on Geosynthetics and Environmental Engineering - ICGEE 2024. ed. / Han-Yong Jeon. Springer Science and Business Media Deutschland GmbH, 2025. p. 45-58 (Lecture Notes in Civil Engineering; Vol. 396 LNCE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hasan, Nivin Abdelrahim

AU - Dongkai, Yang

AU - Al-Shibli, Fayha

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - In sparse climatic data dry regions where calculated drought indices are incompatible and inefficient which leads to insistence on precise indices that are used to assess drought for monitoring. This study acquired remotely sensed images from Landsat-5, 7, and 8 under different periods from 1985 to 2021 in the Amman-Zarqa Basin (AZB). The normalized difference vegetation index (NDVI), and theVegetation Condition Index (VCI) were employed to monitor the spatial distribution and temporal evolution of drought conditions in AZB. The findings suggest that mild to moderate drought in the northeast and southeast parts of the basin emerged. From a temporal perspective, most basin parts exhibited relative fluctuations in drought intensity over the past 35 years. The third quarter blushed negative NDVI values and was dominated by reducing green cover and land productivity. Drought frequency based on VCI analysed, and indicated that light drought areas became moderate and severe drought areas.

AB - In sparse climatic data dry regions where calculated drought indices are incompatible and inefficient which leads to insistence on precise indices that are used to assess drought for monitoring. This study acquired remotely sensed images from Landsat-5, 7, and 8 under different periods from 1985 to 2021 in the Amman-Zarqa Basin (AZB). The normalized difference vegetation index (NDVI), and theVegetation Condition Index (VCI) were employed to monitor the spatial distribution and temporal evolution of drought conditions in AZB. The findings suggest that mild to moderate drought in the northeast and southeast parts of the basin emerged. From a temporal perspective, most basin parts exhibited relative fluctuations in drought intensity over the past 35 years. The third quarter blushed negative NDVI values and was dominated by reducing green cover and land productivity. Drought frequency based on VCI analysed, and indicated that light drought areas became moderate and severe drought areas.

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ER -

Hasan NA, Dongkai Y, Al-Shibli F. Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin. In Jeon HY, editor, Proceedings of the 2nd International Conference on Geosynthetics and Environmental Engineering - ICGEE 2024. Springer Science and Business Media Deutschland GmbH. 2025. p. 45-58. (Lecture Notes in Civil Engineering). doi: 10.1007/978-981-97-7766-2_4

Remote Sensing Drought Indices Evaluation Using NDVI and the Corresponding VCI in Amman Zarqa Basin

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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