Drought risk assessment: integrating meteorological, hydrological, agricultural and socio-economic factors using ensemble models and geospatial techniques-Reference-Cited by-同舟云学术

Drought risk assessment: integrating meteorological, hydrological, agricultural and socio-economic factors using ensemble models and geospatial techniques

Published:2021-06-25 Issue: Volume: Page:1-29
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Arabameri Alireza¹^ORCID,Chandra Pal Subodh²^ORCID,Santosh M.³⁴,Chakrabortty Rabin²^ORCID,Roy Paramita²,Moayedi Hossein⁵⁶⁷

Affiliation:

1. Department of Geomorphology, Tarbiat Modares University, Tehran, Iran

2. Department of Geography, The University of Burdwan, Bardhaman, West Bengal, India

3. School of Earth Sciences and Resources, China University of Geosciences Beijing, Beijing, China

4. Department of Earth Sciences, University of Adelaide, Adelaide, South Australia, Australia

5. Faculty of Technology and Engineering, East of Guilan, University of Guilan, Rudsar-Vajargah, Iran

6. Informetrics Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam

7. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1926558

Reference147 articles.

1. Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

2. Decision tree based ensemble machine learning approaches for landslide susceptibility mapping

3. Support Vector Regression

4. Modeling, prediction and trend assessment of drought in Iran using standardized precipitation index

5. Drought risk assessment using remote sensing and GIS techniques

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