Journal Article

Evaluating the Effect of Training Data Size and Composition on the Accuracy of Smallholder Irrigated Agriculture Mapping in Mozambique Using Remote Sensing and Machine Learning Algorithms

This study evaluates how training data characteristics affect machine learning accuracy in mapping smallholder irrigated agriculture in Mozambique.

Jun 1, 2023
Mapping Irrigated Agriculture in Fragmented Landscapes of Sub-Saharan Africa: An Examination of Algorithm and Composite Length Effectiveness

This study evaluates machine learning algorithms and temporal composite lengths for mapping irrigated agriculture in heterogeneous African landscapes.

May 15, 2023