Mapping and Monitoring of Agriculture in parts of Sudan using Remote Sensing and GIS

Business Need:

Satellite Crop Monitoring Technology allows to perform crop

monitoring in different fields, located in different areas,

regions, even countries and on different continents. The

technology's significant advantage is a high automation level

of sown area condition and its interpretation in an interactive

map which can be read by different groups of users.

The identification and crop-area estimates requires multitemporal series of data, as each single image has to be

acquired within a key time-window for optimal target

discrimination.

Inputs Used:

Multi temporal Satellite Images (Resolution-10m)

Area Boundaries

Business Solution:

Satellite images were used to classify the agriculture area

with approach of hybrid classification methodology. The

different types of crops in the irrigated and rain-fed sectors of

the project area mapped and classified to produce maps.

In the next step, these maps were sent for field validation.

After field validation, necessary modification was done and

final maps were created