作成者 Pathirana, Sumith, Boyd, W. E.
日本十進分類法 (NDC) 450
内容 研究概要:During the last 20 years remotely sensed satellite data have been widely used for vegetation studies. In this period, spatial and spectral resolutions of satellite sensors have been improving, allowing wider applications in resource studies. However, as with many other cover types, increased resolution has produced an added diversity in vegetation interpretation. Objects such as vegetation stands become fuzzy at higher resolutions, indicating that conventional per-pixelbased discrete models may produce difficulties in interpretation. At high resolution levels, objects become a set of interactions between various cover types which are measured according to their relative proportions within the pixel. This problem highlights the issue of identifying a suitable form of remotely-sensed data analysis in studies such as the monitoring of vegetation. Traditionally, the degree of resolution in such work has been determined by the resolution available within the remote sensing methodology. This paper discusses the need to invert this relationship, using the required or identified monitoring resolution to assess the appropriateness of the analysis of remotely-sensed data. The paper discusses a methodological decision-making model for assessing the appropriateness of resolution levels within remotely-sensed data for the application in vegetation monitoring studies. Several outcomes are possible from this decisionmaking approach, one of which is that a technical response to adjusting resolution levels of remotely-sensed data images may be required. A case study from northeast New South Wales, Australia is used to illustrate such a potential increase in image interpretation resolution, in which the fuzzy membership approach is adopted to examine intra-pixel characteristics proportionately resulting from various cover types in a pixel. This approach allows the user to examine and compare the measured interactions according to their relative proportions, rather tha
コンテンツの種類 研究報告書 Research Paper
DCMI資源タイプ text
掲載誌情報 Proceedings of the international symposium on Vegetation Monitoring page.137-145 (1995)
言語 英語

Total Access Count:

507 times.

Related Materials in