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Extracting mangrove information using MNF transformation based on HY-1C CZI spectral indices reconstruction data
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Chao Liang1, 2, Li Liu3, *, Jianqiang Liu1, 2, Bin Zou1, 2, Yarong Zou1, 2, Songxue Cui1, 2
Haiyang Xuebao | 2020, 42(4) : 104 - 112
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Haiyang Xuebao | 2020, 42(4): 104-112
• Marine Technology •
Extracting mangrove information using MNF transformation based on HY-1C CZI spectral indices reconstruction data
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Chao Liang1, 2, Li Liu3, *, Jianqiang Liu1, 2, Bin Zou1, 2, Yarong Zou1, 2, Songxue Cui1, 2
Affiliations
  • 1 National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100081, China
  • 2 Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources , Beijing 100081, China
  • 3 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Published: 2020-04-25 doi: 10.3969/j.issn.0253-4193.2020.04.012
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In this study, we first used the spectral vegetation indices such as normalized difference vegetation index (NDVI), normalized difference water index (NDWI), atmospheric impedance vegetation index (ARPI) and visible spectrum slope ratio of coastal zone imager (CVSSR) to reconstruct the HY-1C coastal zone imager (CZI) image data of the Shankou mangrove national ecosystem nature reserve in Guangxi. And then, the minimum noise fraction rotation (MNF) was used to enhance the spectral difference between mangroves and general terrestrial vegetation on the reconstructed multi-band data set. We established a decision tree based on the MNF components to achieve automatic extracting mangrove information. The results show that the spectral indices reconstruction data and its MNF transformation can effectively enhance the difference between the mangroves and the general terrestrial vegetation on CZI images, the mangrove information can be effectively extracted by our decision tree. Compared with the experts’ interpretation results, the extracted accuracy of area of our method is over 90%. The overall detection accuracy is 88% after verification by random sample points.

HY-1C satellite  /  CZI  /  mangrove  /  spectral indices  /  MNF transformation
Chao Liang, Li Liu, Jianqiang Liu, Bin Zou, Yarong Zou, Songxue Cui. Extracting mangrove information using MNF transformation based on HY-1C CZI spectral indices reconstruction data[J]. Haiyang Xuebao, 2020 , 42 (4) : 104 -112 . DOI: 10.3969/j.issn.0253-4193.2020.04.012
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Article Info
doi: 10.3969/j.issn.0253-4193.2020.04.012
  • Receive Date：2019-05-17
  • Online Date：2026-03-26
  • Published：2020-04-25
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  • Received：2019-05-17
  • Revised：2019-08-21
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Affiliations
    1 National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100081, China
    2 Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources , Beijing 100081, China
    3 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
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https://castjournals.cast.org.cn/joweb/hyxb/EN/10.3969/j.issn.0253-4193.2020.04.012
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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Genus		 种数
Number of
species		 占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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