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oa Remote Identification and Monitoring of Lands Structure
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 17th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment, Nov 2023, Volume 2023, p.1 - 5
Abstract
The provided materials address the remote identification and monitoring of land structure utilizing GIS technologies. They highlight the application of the OBIA method, a prominent plugin in QGIS, particularly valuable for land management on agricultural and forestry lands, among other domains. Through the course of this work, optimal parameters for classifying and segmenting spatial images within the study area were determined. The findings reveal that within the Dmytriv territorial community, the majority of the land (138.9 km2) is attributed to urban areas (35.1%), followed by agricultural land (33.3%), forests (29.5%), and water bodies (2.1%). The classification process achieved an accuracy rate of 77.8%. Utilizing the OBIA plugin in conjunction with the SCP controlled classification method significantly streamlines and enhances land structure monitoring procedures.