Loading...
Semi-Automatic Classification of Rotating Crops in Northern Thailand by Using Temporal LANDSAT Images
Author(s)
Date Issued
January 1, 2022
Type
Article
Abstract
This work focuses on rotating crops in the forest conservation areas in the northern region of Thailand which always cause false detection for forest encroachment and deforestation. Therefore, this work establishes a database of rotating crop areas in the northern region of Thailand and additionally develops a semi-automatic classification approach to help facilitate the classification process. LANDSAT images ranging from 1987 to 2018 are used as the input data for classifying the rotating crop areas. The semi-automatic classification approach is comprised of the automatic supervised classification and the manual classification by visual interpretation, respectively. The automatic and manual classification procedures are explained, and the results are verified by using ground truth locations distributed over the study region which gives 81.72% accuracy.
Citation
Journal of Mobile Multimedia, 18(3), 807-820, 2022