ITHACA Drought Monitoring
This platform can be used to obtain information of drought risk to the vegetation for Africa on a monthly basis.
Simple
- Date (Publication)
- Date
- Presentation form
- Digital map
- Purpose
-
Mapping drought risk to agriculture and livestock, Mapping drought risk to population
- Credit
-
N/A
- Maintenance and update frequency
- Daily
- Update scope
- Platform
- Theme
-
-
Type: Platform
-
Type of Drought: Meteorological, Agricultural Drought
-
Application: Mapping drought risk to agriculture and livestock, Mapping drought risk to population
-
Extent: Africa
-
- Use limitation
-
None
- Access constraints
- Intellectual property rights
- Use constraints
- Other restrictions
- Date
- Spatial representation type
- Vector
Spatial resolution
- Distance
- Aggregation period: 3 months
- Distance
- Spatial scale: 5.6 km
Spatial resolution
- Metadata language
-
eng
- Description
-
Africa
- Begin date
- 2001
- End date
- near real-time
- Date (Revision)
- Reference system identifier
- EPSG / No Spatial Reference given / 7.9
- Distribution format
-
-
(
Various
)
-
(
Various
)
- OnLine resource
- http://drought.ithacaweb.org/
- Hierarchy level
- Series
- Description
-
Africa
Temporal Extent
Vertical extent
- Dataset
-
Mapping drought risk to agriculture and livestock, Mapping drought risk to population
Non quantitative attribute accuracy
- Measure description
-
Not (yet) peer-reviewed.
- Evaluation Method
- Direct internal
Conformance result
- Date (Revision)
- Pass
Conformance result
- Date
Completeness omission
- Name of measure
-
Codelist omission
- Evaluation Method
- Direct internal
Conformance result
- Date (Revision)
- Pass
- Statement
-
Data requirements to use: None;
Data used: MODIS MOD13C1 Terra CMG dataset, TRMM 3B42 daily data;
Data format: PNG;
Data access: Web Mapping;
Concise description:
In the broad context of drought Early Warning, ITHACA's efforts are oriented towards the development of an automated system (Drought Monitoring), able to monitor relevant environmental variables thus enabling the detection and characterization of vegetation stress conditions. Different parameters are integrated into a simplified drought risk model which considers environmental data related to vegetation production and rainfall. In particular, the near real-time monitoring of satellite derived vegetation indexes allows the early detection of water stress conditions of vegetation, and the monitoring of derived phenological parameters. The latter, coupled with the evaluation of precipitation conditions, leads to a near real-time assessment of the vegetation productivity expected at the end of the considered growing season. The timely detection of critical conditions in vegetation health and productivity allows to spot agricultural areas with increased potential of crop failure or food crisis risk.
Indices included:
SPI-3, SSID, DWI
- File identifier
- 6d80a611-b53c-4b3b-8687-9db9222334f6 XML
- Metadata language
-
eng
- Character set
- UTF8
- Hierarchy level
- Platform
- Hierarchy level name
-
ITHACA Drought Monitoring
- Date stamp
- 2022-02-07T11:04:37
- Metadata standard name
-
ISO 19115:2003/19139
- Metadata standard version
-
1.0
- Dataset URI