English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

都市の景観を管理する上では景観の統一性・連続性が重要であるがこれらを分析するには広範囲における景観の把握が必要である航空機LiDAR(Light Detection and Ranging)は広範囲の3次元の座標を高速に取得することができる本研究では航空機LiDARで計測したDSM(Digital SurfaceModel)DTM(Digital Terrain Model)のデータを用いて広範囲における任意の地点での囲繞度を推定する手法を提案する囲繞度は視野の立体角に対する地物の立体角の占める割合として定義した京都市東山区を対象に提案手法を適用した結果やや過小評価気味ではあったが囲繞度を誤差約3で推定することができたThis paper proposes a methodology to estimate an "enclosure index" in urban areas using airborne LiDAR. The index is defined as a ratio of occluded area to whole of area in azimuth angle-elevation angle space. The index can be applied to assess local landscape, and it is expected to estimate it in a wide area at low cost. The author examined the methodology to estimate it using airborne LiDAR data measured in last-pulse mode. The estimated index map was validated with the ground truth data, and the error was acceptable, approximately 3%. Even though the last-pulse mode data may underestimate actual digital surface model (DSM), it was found that the proposed methodology is effective to estimate the index in a wide area at low cost

Development of Method to Estimate Enclosure Index in Urban Areas using Airborne LiDAR