Customer
Kyrgyzstan is a mountainous, landlocked country in Central
Asia with an estimated population of 6 million people
(2016).
The major source of employment is the agriculture sector, which is largely
made up of smallholder farmers. Poverty is high in Kyrgyzstan. Almost two
thirds of the population live in rural areas, and rural poverty levels are about
60 per cent. Livestock plays a crucial role in food security for smallholder
farmers, and as a safety net. Almost half of the country is pastureland – some
9 million hectares – and herding plays a key role in its economy, society
and culture.
Challenge
The main threats identified by Central Asian pastoralists include the disruption of mobility routes,
the widespread promotion of mining and associated land acquisitions, and the land degradation triggered by inappropriate land uses and climate changes.
Climate change trends and projections in Central Asia have important implications for pastures, crops, and
agro-pastoral livelihoods. Annual average temperatures are steadily rising in Central Asia and around the
world
Warming in Kyrgyzstan has
been similar to or greater than average global temperature rise
Pasture productivity, hay fields, and fodder crops are strongly influenced by climate conditions.
The 2007
IPCC report concludes with a high level of confidence that Central Asia is highly vulnerable (highest rating)
to land degradation from climate change impacts.
Solution
The platform developed for Kyrgyzstan, is able to acquire data from the two NASA satellites, Aqua and Terra, and perform a deep learning analysis
on the imagery to compare all the anomalies of the last 12 months compared to the latest 15 years trends.
In particular the platform is able to examine the vegetation cover of the region based on the surface reflectance.
The whole data consisting of several TeraBytes of high resolution satellite images have been preprocessed to remove any interfernce from the atmosphere.
In addition to the Normalized Difference Vegetation Index (NDVI), also rainfall historical data can be analyzed in different way.
INFORMATION
Region: Central Asia
Industry: GOvernment
Type: Geo-Spatial and Web Mapping
Engagement model: Dedicated Team
Duration: 4 Months
Staff: 1 Project manager, 3 Geo-Spatial Data Analyst, 2 Developers and UX/UI experts
Development: QGIS, PostgreSQL, PostGIS, GeoDjango, Python
TECHNOLOGIES


