Spatial drought occurrences and distribution using VCI, TCI, VHI, and Google Earth Engine in Bilate River Watershed, Rift Valley of Ethiopia-Reference-Cited by-同舟云学术

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Spatial drought occurrences and distribution using VCI, TCI, VHI, and Google Earth Engine in Bilate River Watershed, Rift Valley of Ethiopia

Published:2024-07-23 Issue:1 Volume:15 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Burka Ashenafi¹²^ORCID,Biazin Birhanu³,Bewket Woldeamlak¹

Affiliation:

1. Department of Geography and Environmental Studies, Addis Ababa University, Addis Ababa, Ethiopia

2. Department of GIS and Remote Sensing, Wondo Genet College of Forestry and Natural Resource, Hawassa University, Shashemene, Ethiopia

3. International Potato Center, Tamale, Ghana

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2024.2377672

Reference59 articles.

1. Aksoy S, Sertel E. 2021. Comparison of drought monitoring indices derived from Modis and CHIRPS data using Google Earth Engine. 9th Global Conference on Global Warming (GCGW-2021); August 1–4, 2021 Virtual Conference, Croatia.

2. Ali S Basit A Ni J M Khan FU Sajid M Umair M Makanda TA. 2022. Impact assessment of vegetation dynamics and drought changing trends based on multi-satellite data in relation to climate change during 2001-2017 over Pakistan. doi: 10.21203/rs.3.rs-1879940/v1.

3. Monitoring drought events and vegetation dynamics in relation to climate change over mainland China from 1983 to 2016

4. Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

5. Towards an integrated soil moisture drought monitor for East Africa

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