2024
DOI: 10.5194/gmd-17-2987-2024
|View full text |Cite
|
Sign up to set email alerts
|

Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation

Mohamad Hakam Shams Eddin,
Juergen Gall

Abstract: Abstract. Satellite-derived agricultural drought indices can provide a complementary perspective of terrestrial vegetation trends. In addition, their integration for drought assessments under future climates is beneficial for providing more comprehensive assessments. However, satellite-derived drought indices are only available for the Earth observation era. In this study, we aim to improve the agricultural drought assessments under future climate change by applying deep learning (DL) to predict satellite-deri… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 119 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?