Detection and monitoring forest degradation and rehabilitation in the Upper Ciliwung watershed using Landsat TC

• Published in: IOP conference series. Earth and environmental science Vol. 959; no. 1; pp. 12048 - 12056
• Main Authors: Hildanus, Tarigan, S D, Barus, B
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.01.2022
• Subjects: Forest degradation; Forests; Image classification; Land degradation; Landsat; Monitoring; Rehabilitation; Remote sensing; Spatial discrimination; Spatial resolution; Watersheds
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/959/1/012048

Abstract Study on the forest degradation and rehabilitation (FDR) during the period 2000 - 2005 and 2005 - 2015 was conducted in forest area of the Upper Ciliwung watershed in Bogor Regency, West Java Province, Indonesia. Detection and monitoring of FDR is done through detection of tree cover (TC) changes. TC changes mapped through Landsat TC classification and very high spatial resolution image from Google Earth was used as a reference. The study purpose was to determine the Landsat TC capability in detecting and monitoring FDR. Landsat TC is capable of in detecting and monitoring forest degradation and rehabilitation, with an overall accuracy of 84.6%. The forest condition in the forest area in the Upper Ciliwung watershed in the period 2000 - 2005 was deteriorating, with the rate of forest degradation of 80.15 ha/year exceeding the rate of forest rehabilitation of 74.13 ha/year. The forest condition improved in the period 2005 - 2015, where the rate of forest degradation decreased to 51.34 ha/year and the rate of forest rehabilitation increased to 90.16 ha/year, compared to the previous period.