title: [Application of small remote sensing satellite constellations for environmental hazards in wetland landscape mapping: taking Liaohe Delta, Liaoning Province of Northeast China as a case].
abstract: To timely and accurately acquire the spatial distribution pattern of wetlands is of significance for the dynamic monitoring, conservation, and sustainable utilization of wetlands. The small remote sensing satellite constellations A/B stars (HJ-1A/1B stars) for environmental hazards were launched by China for monitoring terrestrial resources, which could provide a new data source of remote sensing image acquisition for retrieving wetland types. Taking Liaohe Delta as a case, this paper compared the accuracy of wetland classification map and the area of each wetland type retrieved from CCD data (HJ CCD data) and TM5 data, and validated and explored the applicability and the applied potential of HJ CCD data in wetland resources dynamic monitoring. The results showed that HJ CCD data could completely replace Landsat TM5 data in feature extraction and remote sensing classification. In real-time monitoring, due to its 2 days of data acquisition cycle, HJ CCD data had the priority to Landsat TM5 data (16 days of data acquisition cycle).
authors.affiliation: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. yangyuanzheng8672@163.com
authors.forename: Yuan-Zheng
authors.initials: YZ
authors.lastname: Yang
authors.forename: Yu
authors.initials: Y
authors.lastname: Chang
authors.forename: Yuan-Man
authors.initials: YM
authors.lastname: Hu
authors.forename: Miao
authors.initials: M
authors.lastname: Liu
authors.forename: Yue-Hui
authors.initials: YH
authors.lastname: Li
mesh_terms: D002681:China; D003247:Conservation of Natural Resources; D017753:Ecosystem; D004781:Environmental Exposure / Q000009:adverse effects / Q000032:analysis*; D004782:Environmental Health; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems; D008962:Models, Theoretical; D058998:Remote Sensing Technology; D045483:Rivers; D017215:Satellite Communications; D053833:Wetlands