Integrating Radar Remote Sensing of Habitat Structure: A Pilot Project for Biodiversity Informatics
نویسندگان
چکیده
Mapping for biodiversity informatics requires information on habitat so that known species occurrences may be extrapolated to maps of potential species occurrences. In the case of vegetation requirements for habitat, most current datasets of actual vegetation have been derived from optical (e.g. aerial photography or Landsat) remotely sensed data. These data are largely limited to describing horizontal structure: vegetation community composition and landscape spatial metrics. This paper introduces new radar remote sensors that are more suited to directly measure vegetation height and other multi-dimensional forest structural variables such as density, basal area, and biomass, and to map these as continuous fields over large areas. We discuss this in the context of bird species, one of the taxonomic groups whose habitat preferences may be strongly influenced by multi-dimensional structure. The site for the pilot study is the Michigan Forests Test Site (MFTS) in the Upper Peninsula of Michigan, an area of mixed hardwood and coniferous forest communities. Our study uses two methods, one inductive and one deductive, to investigate the utility of incorporating radar data into biodiversity informatics databases. We evaluate the use of radar alone and also in combination with Landsat data for mapping of bird habitat for biodiversity informatics.
منابع مشابه
Multi-dimensional vegetation structure in modeling avian habitat
Article history: Received 31 December 2006 Accepted 2 January 2007 The goal of this study was to evaluate the contributions of forest and landscape structure derived from remote sensing instruments to habitatmapping. Our empirical data focused at the landscape scale on a test site in northern Michigan, using radar and Landsat imagery and bird-presence data by species. We tested the contribution...
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Article history: Received 31 December 2006 Accepted 2 January 2007 RR EC TE D PR O The goal of this study was to evaluate the contributions of forest and landscape structure derived from remote sensing instruments to habitatmapping. Our empirical data focused at the landscape scale on a test site in northern Michigan, using radar and Landsat imagery and bird-presence data by species. We tested ...
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