Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya
- Submitting institution
-
University of Sussex
- Unit of assessment
- 9 - Physics
- Output identifier
- 91548_91240
- Type
- D - Journal article
- DOI
-
10.1016/j.rse.2020.111886
- Title of journal
- Remote Sensing of Environment
- Article number
- a111886
- First page
- -
- Volume
- 248
- Issue
- -
- ISSN
- 0034-4257
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2020
- URL
-
https://doi.org/10.1016/j.rse.2020.111886
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -