{"title":"利用卫星数据和地理信息系统绘制湿地生境多样性:以爱沙尼亚alam-pedja自然保护区为例","authors":"Kiira AAVIKSOO®, Jaanus PAALb, Tiina DISLIS®","doi":"10.3176/biol.ecol.2000.2.02","DOIUrl":null,"url":null,"abstract":".The experience of compiling a habitat map of the Alam-Pedja Nature Reserve, Estonia, based on integrating remote sensing (Landsat 5 TM, aerial photos), Geographic Information Systems (GIS), and national biological survey data is reported and discussed. Unsupervised and supervised classification and the maximum likelihood algorithm were used for the classification of satellite image pixels. Training polygons for justification of the classification were established after the repetitive checking of all classification units during the classification procedure. On that basis the mapping ofdifferent habitats, specific for the temperate zone and especially for Estonian nature, using a classification scheme with an emphasis on spectral separation of wetland and related forest types on satellite images was developed. The resultant map (1:50 000, Transverse Mercator Projection) includes 26 mapping units and fits rather well the Estonian habitat classification scheme. The map can be employed for land use conflict resolution, for monitoring at landscape and habitat level, as well as in biodiversity studies.","PeriodicalId":250336,"journal":{"name":"Proceedings of the Estonian Academy of Sciences. Biology. Ecology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"MAPPING OF WETLAND HABITAT DIVERSITY USING SATELLITE DATA AND GIS: AN EXAMPLE FROM THE ALAM-PEDJA NATURE RESERVE, ESTONIA\",\"authors\":\"Kiira AAVIKSOO®, Jaanus PAALb, Tiina DISLIS®\",\"doi\":\"10.3176/biol.ecol.2000.2.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\".The experience of compiling a habitat map of the Alam-Pedja Nature Reserve, Estonia, based on integrating remote sensing (Landsat 5 TM, aerial photos), Geographic Information Systems (GIS), and national biological survey data is reported and discussed. Unsupervised and supervised classification and the maximum likelihood algorithm were used for the classification of satellite image pixels. Training polygons for justification of the classification were established after the repetitive checking of all classification units during the classification procedure. On that basis the mapping ofdifferent habitats, specific for the temperate zone and especially for Estonian nature, using a classification scheme with an emphasis on spectral separation of wetland and related forest types on satellite images was developed. The resultant map (1:50 000, Transverse Mercator Projection) includes 26 mapping units and fits rather well the Estonian habitat classification scheme. The map can be employed for land use conflict resolution, for monitoring at landscape and habitat level, as well as in biodiversity studies.\",\"PeriodicalId\":250336,\"journal\":{\"name\":\"Proceedings of the Estonian Academy of Sciences. Biology. Ecology\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Estonian Academy of Sciences. Biology. Ecology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3176/biol.ecol.2000.2.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Estonian Academy of Sciences. Biology. Ecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3176/biol.ecol.2000.2.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MAPPING OF WETLAND HABITAT DIVERSITY USING SATELLITE DATA AND GIS: AN EXAMPLE FROM THE ALAM-PEDJA NATURE RESERVE, ESTONIA
.The experience of compiling a habitat map of the Alam-Pedja Nature Reserve, Estonia, based on integrating remote sensing (Landsat 5 TM, aerial photos), Geographic Information Systems (GIS), and national biological survey data is reported and discussed. Unsupervised and supervised classification and the maximum likelihood algorithm were used for the classification of satellite image pixels. Training polygons for justification of the classification were established after the repetitive checking of all classification units during the classification procedure. On that basis the mapping ofdifferent habitats, specific for the temperate zone and especially for Estonian nature, using a classification scheme with an emphasis on spectral separation of wetland and related forest types on satellite images was developed. The resultant map (1:50 000, Transverse Mercator Projection) includes 26 mapping units and fits rather well the Estonian habitat classification scheme. The map can be employed for land use conflict resolution, for monitoring at landscape and habitat level, as well as in biodiversity studies.