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Big Data for a Big Country: The First Generation of Canadian Wetland Inventory Map at a Spatial Resolution of 10-m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform
Canadian Journal of Remote Sensing ( IF 2.6 ) Pub Date : 2020-01-02 , DOI: 10.1080/07038992.2019.1711366
Masoud Mahdianpari 1, 2 , Bahram Salehi 3 , Fariba Mohammadimanesh 1, 2 , Brian Brisco 4 , Saeid Homayouni 5 , Eric Gill 2 , Evan R. DeLancey 6 , Laura Bourgeau-Chavez 7
Affiliation  

Abstract Detailed information on the spatial distribution of wetlands is crucial for sustainable management and resource assessment. Furthermore, regularly updated wetland inventories are of particular importance given that wetlands comprise a dynamic, rather than permanent, land condition. Accordingly, satellite-derived wetland maps are greatly beneficial, as they capture a synoptic and multi-temporal view of landscapes. Leveraging state-of-the-art remote sensing data and tools, this study produces a high-resolution 10-m wetland inventory map of Canada, covering an approximate area of one billion hectares, using multi-year, multi-source (Sentinel-1 and Sentinel-2) Earth Observation (EO) data on the Google Earth Engine™ cloud computing platform. The whole country is mapped using a large volume of reference samples using an object-based random forest classification scheme with an overall accuracy approaching 80% and individual accuracies varying from 74% to 84% in different provinces. This nationwide wetland inventory map illustrates that 19% of Canada’s land area is covered by wetlands, most of which are peatlands dominate in the northern ecozones. Importantly, the resulting ever-demanding wetland inventory map of Canada provides unprecedented details on the extent, status, and spatial distribution of wetlands and thus, is useful for many stakeholders, including federal and provincial governments, municipalities, NGOs, and environmental consultants. Graphical Abstract

中文翻译:

大国的大数据:使用谷歌地球引擎云计算平台上的Sentinel-1和Sentinel-2数据,10米空间分辨率的第一代加拿大湿地清单地图

摘要 湿地空间分布的详细信息对于可持续管理和资源评估至关重要。此外,鉴于湿地由动态而非永久的土地状况组成,定期更新湿地清单尤为重要。因此,卫星衍生的湿地地图非常有益,因为它们捕获了景观的天气和多时态视图。本研究利用最先进的遥感数据和工具,使用多年、多源 (Sentinel- 1 和 Sentinel-2) Google Earth Engine™ 云计算平台上的地球观测 (EO) 数据。使用基于对象的随机森林分类方案使用大量参考样本绘制全国地图,总体准确率接近80%,不同省份的个体准确率从74%到84%不等。这张全国性湿地清单图显示,加拿大 19% 的土地面积被湿地覆盖,其中大部分是泥炭地,在北部生态区占主导地位。重要的是,由此产生的加拿大湿地清单地图提供了前所未有的关于湿地范围、状态和空间分布的详细信息,因此对许多利益相关者有用,包括联邦和省政府、市政当局、非政府组织和环境顾问。图形概要 由此产生的加拿大湿地清单地图提供了前所未有的关于湿地范围、状态和空间分布的详细信息,因此对许多利益相关者有用,包括联邦和省政府、市政当局、非政府组织和环境顾问。图形概要 由此产生的加拿大湿地清单地图提供了前所未有的关于湿地范围、状态和空间分布的详细信息,因此对许多利益相关者有用,包括联邦和省政府、市政当局、非政府组织和环境顾问。图形概要
更新日期:2020-01-02
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