Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data...
Enlace original:
https://cgspace.cgiar.org/handle/10568/93406
Nhamo, Luxon
,
Dijk, R. van
,
Magidi, J.
,
Wiberg, David
,
Tshikolomo, K.
,
[Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability]
,
Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability
