caa a22 4500 469032154 CHVBK 20180323132746.0 cr unu---uuuuu 170328e19920901xx s 000 0 eng 10.1007/BF02664604 doi (NATIONALLICENCE)springer-10.1007/BF02664604 Application of remote sensing technique to the investigation on reed resources of Bosten Lake [Elektronische Daten] [Runkui Hua, Yuqin Li] It is efficient and reliable to investigate the reed resources of Bosten Lake in Xinjiang, characterized by complicated types of reed land and very different reed growth using colour infrared aerial photos, Landsat images and multi band imagery. At first, on the basis of Landsat images and relevant data, we analyzed the ecological environment of the studied area, the characteristics of reed land types and imaging mechanism to determine the program for abstracting remote sensing information and aerial photographic conditions. On the processed Landsat images and aerial photos, we considered typically geographic features and reed land types, preselected ground sampling sections and sites, then determined indexes classifying reed land types according to sampling data and image characteristics, established various interpretation keys, drew distribution maps of reed land types and measured the area of various types of reed land following geometric correction. On the other hand, based on sampling values and habitat conditions of reed, we divided the studied area into a number of pieces, estimated weight per unit area with weighted average method one piece by one piece, finally calculated the total reserve of reed resources. Science Press, 1992 remote sensing application nationallicence reed resources nationallicence resources inventory nationallicence Bosten lake nationallicence Hua Runkui Changchun Institute of Geography, Chinese Academy of Sciences, 130021, Changchun, PRC aut Li Yuqin Changchun Institute of Geography, Chinese Academy of Sciences, 130021, Changchun, PRC aut Chinese Geographical Science Science Press 2/3(1992-09-01), 266-276 1002-0063 2:3<266 1992 2 11769 https://doi.org/10.1007/BF02664604 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02664604 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hua Runkui Changchun Institute of Geography, Chinese Academy of Sciences, 130021, Changchun, PRC aut NATIONALLICENCE 700 1- Li Yuqin Changchun Institute of Geography, Chinese Academy of Sciences, 130021, Changchun, PRC aut NATIONALLICENCE 773 0- Chinese Geographical Science Science Press 2/3(1992-09-01), 266-276 1002-0063 2:3<266 1992 2 11769 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer