GLCNMOグローバル都市域マップの作成,検証,及び既存のグローバル都市域マップとの比較(英文)
スポンサーリンク
概要
- 論文の詳細を見る
Rapid rates of population growth and urban expansion affect local and regional ecosystems, climate, and biogeochemistry. Ninety percent of future urbanization will be in low-income countries. In many low-income regions of the world, the only up to date maps of urban extents are those produced on a global scale. However, in some regions such as East Asia, urban expansion is proceeding so rapidly that only a few years can make a large difference on the ground. Therefore maps of settlement in low-income countries are often outdated, inaccurate or non-existent. This research improves our understanding of the methodological and validation requirements for global urban mapping from low-resolution remote sensing data. Maps derived thereby are then compared against urban boundaries derived from Landsat ETM+ imagery and the other five continental scale urban maps. Maps produced using gridded population density data, nighttime lights and MODIS data use less costly data and are simpler to produce yet proved to be more accurate.
- 社団法人 日本リモートセンシング学会の論文
著者
-
建石 隆太郎
Tateishi-Lab., Centre for Environmental Remote Sensing (CEReS), Chiba University
-
カシム アリムジャン
Tateishi-Lab., Centre for Environmental Remote Sensing (CEReS), Chiba University
関連論文
- ALOS利用のためのSARデータを使用した光学画像の雲除去—シュミレートしたALOSデータでの実験—〔英文〕
- GLCNMOグローバル都市域マップの作成,検証,及び既存のグローバル都市域マップとの比較(英文)