ALL-RUSSIA OPEN ANNUAL CONFERENCES ON
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE
Principal physics, methods and techniques for monitoring the environment, potentially dangerous phenomena and objects
рус
Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)
Evaluation of the Algorithm for Forest Logging Detection based on Earth Observation Data
Tatiana S. Khovratovich, Anna A. Ivanova, Sergey A. Bartalev
Space Research Institute, Russian Academy of Sciences, Moscow, Russia
kurat@smis.iki.rssi.ru
DOI 10.21046/rorse2018.108
The paper is devoted to application the method of change detection in forest using Earth observation data for detecting clear-cutting and selective logging. The investigated method of detecting changes was tested on test sites in Primorsky Krai and the Republic of Udmurtia. Using the Landsat 8 and Sentinel-2 satellite data processed and, forest change maps related to logging in year 2016 were developed over the test areas. The paper compares the obtained change areas with official logging statistics and Global Forest Change project data. The difference of detected forest changes in two test sites are analyzed. Special attention is paid to assessing the impact of the terrain on the accuracy and completeness of forest change detection.
Keywords: change detection, logging, forest cover, remote sensing, topographic correction, satellite data processing
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Section 2. Methods and algorithms for processing remote monitoring data
108-115