衛生リモートセンシングとGISとの組み合わせ技術によるトドマツ小班データベースへの適用

概要

論文の詳細を見る
First, a satellite image was extracted and rectified to a large-scale forest base map (1 : 5,000) ; then todomatsu (Abies sachalinensis MAST.) plantations were classified into several stand-cover types using a maximum likelihood classifier. Truck roads on the forest base map were digitalized and used to indicate the locality ranks of todomatsu stands with the distances from truck roads being termed proximities. Analysis using the Geographic Information System involves such analytic functions as overlays and logical operations to combine the requested thematic layers. A composite image was produced and a statistical analysis of the derived data layer was calculated to ascertain stand conditions of different localities in todomatsu plantations. This technique may be used to select appropriate sites and to support planning of the stand-level databases of plantations.
日本森林学会の論文
1993-03-01