Forecasting monthly soil moisture at broad spatial scales in sub-Saharan Africa using three time-series models: evidence from four decades of remotely sensed data-Reference-Cited by-同舟云学术

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Forecasting monthly soil moisture at broad spatial scales in sub-Saharan Africa using three time-series models: evidence from four decades of remotely sensed data

Published:2023-08-23 Issue:1 Volume:56 Page:
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Tesfamichael Solomon G.¹,Shiferaw Yegnanew A.²,Woldai Tsehaie³

Affiliation:

1. Department of Geography, Environmental Management and Energy Studies, University of Johannesburg, Johannesburg, South Africa

2. Department of Statistics, University of Johannesburg, Johannesburg, South Africa

3. School of Geosciences, University of the Witwatersrand, Johannesburg, South Africa

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2023.2246638

Reference119 articles.

1. Impact of improved soil moisture on the ECMWF precipitation forecast in West Africa

2. Three-dimensional random walk models of individual animal movement and their application to trap counts modelling

3. Statistical analysis of estimated and observed soil moisture in sub-humid climate in north-western Jordan

4. A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture

5. Agricultural drought assessment based on multiple soil moisture products

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