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2018

265 record(s)
 
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  • **Table content** - Year - Indicator - Sex - Value - Unit - Flag **Value assigned to No-data**:m

  • En zone rurale, sur 5 767 villages enquêtés, 43,3% des villages reçoivent au moins un réseau de téléphonie mobile. La télévision nationale émet dans 46,6% des villages ruraux enquêtés alors que la radio nationale dans 93,7% des villages ruraux enquêtés. Les radios communautaires émettent dans un peu plus de la moitié (56,8%) des villages ruraux enquêtés. (source : REEA 2015/2016). **Table content** -Year -means of communication -Number of Villages -Flag -Unit **Value assigned to No-data**:m

  • **Table content** - YEAR - INDICATOR - PRODUCT - VALUE - FLAG - UNIT **Value assigned to No-data**:m

  • Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. Approximately 5km (0.05°) unit: "mm" dataType: "Float32" noDataValue: -9999

  • **Table content** - Year - Indicator - Residence - Value - Flag - Unit **Value assigned to No-data**:m

  • Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. Approximately 5km (0.05°) unit: "mm" dataType: "Float32" noDataValue: -9999

  • **Table content** - Year - Indicator - Product - Value - Flag - Unit **Value assigned to No-data**:m

  • **Table content** - YEAR - INDICATOR - SEX - VALUE - FLAG - UNIT **Value assigned to No-data**:m

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    Desert Locust Monitoring, Forecasting and Assessment in Africa and Southwest Asia. Covering Ethiopia, Kenya, Somalia, Pakistan, Yemen, India, Nepal and Afghanistan. A research team RSCROP led by Prof. Huang Wenjiang and Prof. Dong Yingying of the ‘Digital Earth Science Platform’ Project in CASEarth has tracked the migration path of the Desert Locust and make a detailed analysis on the possibility of the Desert Locust invasion of China. Integrated with multi-source Earth Observation data, e.g. meteorological data, field data, and remote sensing data (such as GF series in China, MODIS and Landsat series in US, Sentinel series in EU), and self-developed models and algorithms for Desert Locust monitoring and forecasting, the research team constructed the ‘Vegetation pests and diseases monitoring and forecasting system’, which could regularly release thematical maps and reports on Desert Locust. The Desert Locust has ravaged the Horn of Africa and Southwest Asia, posing serious threats on agricultural production and food security of the inflicted regions. The Food and Agriculture Organization of the United Nations（FAO）has issued a worldwide Desert Locust warning, calling for joint efforts from multiple countries in prevention and control of the pest to ensure food security and regional stability.

  • **Table content** - YEAR - INDICATOR - VALUE - FLAG - UNIT **Value assigned to No-data**:m