講演詳細

経営部門[Forest Management]

日付	2024年3月8日
開始時刻	ポスター発表
会場名	531
講演番号	PD-35（学生ポスター賞審査対象）
発表題目	Forest Change Detection in Solomon Islands using Multi-temporal Satellite Data Forest Change Detection in Solomon Islands using Multi-temporal Satellite Data
所属	Niigata University
要旨本文	Forest change detection in the Solomon Islands is crucial for sustainable forest management, conservation, and climate change mitigation. This study focuses on utilizing remote sensing and Geographic Information System (GIS) applications on change detection study on ridge-to-reef landscape using multi-temporal satellite data. Accurate and timely detection of forest disturbances can provide valuable information. Combining dense time series imageries from optical satellites is vital for detecting rapid forest changes. However, the Solomon Islands’ region faces several challenges due to its unique geographical characteristics and limited resources. This study will; (i) outline these challenges, (ii) identify the multi-temporal Landsat 8 and Sentinel-2 imageries between 2015 and 2022 and their significant attributes, and (iii) use multi-temporal imageries and GIS applications to detected forest changes of two selected sites in this region.
著者氏名	○McJessey Leon Brian Beu1 ・ Murakami, Takuhiko2
著者所属	1Niigata University ・ 2Niigata University
キーワード	Satellite, change detection, remote sensing, gis, forest
Key word	Satellite, change detection, remote sensing, gis, forest