Mapping natural habitats using remote sensing and Sparse partial least square discriminant analysis
نویسندگان
چکیده
منابع مشابه
Classification of Grassland Successional Stages Using Airborne Hyperspectral Imagery
Plant communities differ in their species composition, and, thus, also in their functional trait composition, at different stages in the succession from arable fields to grazed grassland. We examine whether aerial hyperspectral (414–2501 nm) remote sensing can be used to discriminate between grazed vegetation belonging to different grassland successional stages. Vascular plant species were reco...
متن کاملDifferentiating among Four Arctic Tundra Plant Communities at Ivotuk, Alaska Using Field Spectroscopy
Warming in the Arctic has resulted in changes in the distribution and composition of vegetation communities. Many of these changes are occurring at fine spatial scales and at the level of individual species. Broad-band, coarse-scale remote sensing methods are commonly used to assess vegetation changes in the Arctic, and may not be appropriate for detecting these fine-scale changes; however, the...
متن کاملRemote sensing technology for mapping and monitoring vegetation cover (Case study: Semirom-Isfahan, Iran)
To determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the Semirom-Isfahan province were analyzed. During two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. The Global Positioning...
متن کاملRemote sensing technology for mapping and monitoring vegetation cover (Case study: Semirom-Isfahan, Iran)
To determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the Semirom-Isfahan province were analyzed. During two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. The Global Positioning...
متن کاملComparing Discriminant Analysis, Ecological Niche Factor Analysis and Logistic Regression Methods for Geographic Distribution Modelling of Eurotia ceratoides (L.) C. A. Mey
Eurotia ceratoides (L.) C. A. Mey is an important plant species in semi-arid landsin Iran. New approaches are required to determine the distribution of this plant species. Forthis reason, geographical distributions of Eurotia ceratoides were assessed using threedifferent models including: Multiple Discriminant Analysis (MDA), Ecological Niche FactorAnalysis (ENFA) and Logistic Regression (LR). ...
متن کامل