Remote sensing-based dynamic study of nature reserve in panjin red beach remote sensing-based dynamic study of nature reserve in Panjin red beach

摘要

Wetland is a very important part in ecological system and it offers various animals and plants habitat. Red beach which grows in tidal zone and intertidal zone between sea and land is one of wetlands with high productivity and variety. Wetland is a natural resource in fast dynamic property and one of currently important wetland remote sensing studies to extract and analyze wetland information. This is significant to dynamically monitor wetland resources. This paper takes ten-year TM remote sensing as information source in the years of 2006, 2007, 2008, 2009, 2012, 2013, 2014 and 2015. Under remote sensing and geological information system technology support, with related materials collection in research area and many years' statistical data, the paper adopts supervised classification to dynamically monitor wetland resource types as well as areas of Panjin red beach in research area under software platform of ENVI and ArcGIS for analysis. Towards dynamic change of Panjin red beach nature reserve for reason analysis from natural factor and human factor, this paper takes PSR model as basic framework, adopts factor analysis to construct environment quality evaluation index system in nature reserve of Panjin red beach, and selects 8 indexes such as population density, human disturbance index, landscape diversity, average patch area, primary productivity, etc.. To apply remote sensing technology can rapidly and effectively obtain distribution information of red beach, and monitor protection effect as well as protection force of red beach wetland in protection area. This improves executing transparency of protecting items in red beach wetland and puts forward corresponding protection measures.