- Title
- KEN_aridity Index
- Abstract
Aridity index (AI) is an effective estimator of drought status, and spatiotemporally continuous long-term AI dataset is critical for drought assessment and applications.This dataset offers valuable support for research on dryland ecosystems, agriculture, and climate change, offering critical insights to address global environmental and sustainability challenges.
Resolution ;0.05 × 0.05 in the resolution ( referenced year 2022)
- License
- Not Specified
-
+ The original author did not specify a license.
- Publication Date
- June 18, 2025, 6:50 a.m.
- Type
- Raster Data
- Regions
- Africa, Kenya
- Approved
- Yes
- Published
- Yes
- Featured
- No
- DOI
- None
- Attribution
- None
- Name
- IGAD DRM Team (IGAD_DRM)
- disaster-risk-management@igad.int
- Position
- Data Risk Management
- Organization
- ICPAC
- Location
- Nairobi KEN
- Voice
- None
- Fax
- None
- Spatial Extent
- ---
- Projection System
- EPSG:4326
- Extension x0
- 33.90959
- Extension x1
- 41.90959
- Extension y0
- -4.740417001000001
- Extension y1
- 5.059582999
- Language
- English
- Supplemental Information
No information provided
- Name
- IGAD DRM Team (IGAD_DRM)
- disaster-risk-management@igad.int
- Position
- Data Risk Management
- Organization
- ICPAC
- Location
- Nairobi KEN
- Voice
- None
- Fax
- None
- Link Online
- /layers/Normalized_KEN_aridity_avg_Copy:geonode:Normalized_KEN_aridity_avg_Copy
- Metadata Page
- /layers/Normalized_KEN_aridity_avg_Copy:geonode:Normalized_KEN_aridity_avg_Copy/metadata_detail
- Original Layer
- KEN_aridity Index.zip
- JPEG
- KEN_aridity Index.jpg
- KEN_aridity Index.pdf
- Legend
- KEN_aridity Index.png
- GeoTIFF
- KEN_aridity Index.geotiff
- PNG
- KEN_aridity Index.png
- Thumbnail
- KEN_aridity Index.png
- OGC WMS: geonode Service
- Geoservice OGC:WMS
- OGC WCS: geonode Service
- Geoservice OGC:WCS
- Name
- IGAD DRM Team (IGAD_DRM)
- disaster-risk-management@igad.int
- Position
- Data Risk Management
- Organization
- ICPAC
- Location
- Nairobi KEN
- Voice
- None
- Fax
- None