ArticleISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS)2020
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine.
Article in ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- National coastal wetland mapping over the last four decades: An annual classification with high accuracy.Scientific data · 2026Article
- Multi-Source Remote Sensing Data for Wetland Information Extraction: A Case Study of the Nanweng River National Wetland Reserve.Sensors (Basel, Switzerland) · 2024Article
- Remote sensing monitoring and potential distribution analysis ofEcology and evolution · 2024Article
- An intra-annual 30-m dataset of small lakes of the Qilian Mountains for the period 1987-2020.Scientific data · 2023Article
- Spatiotemporal Dynamics of Wetland in Dongting Lake Based on Multi-Source Satellite Observation Data during Last Two Decades.International journal of environmental research and public health · 2022Article
- Reclamation and Ecological Service Value Evaluation of Coastal Wetlands Using Multispectral Satellite Imagery.Wetlands (Wilmington, N.C.) · 2022Article
- Drivers of a habitat shift by critically endangered Siberian cranes: Evidence from long-term data.Ecology and evolution · 2020Article
- Quantifying expansion and removal ofRemote sensing of environment · 2020Article
- Gainers and losers of surface and terrestrial water resources in China during 1989-2016.Nature communications · 2020Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Coastal wetlands, composed of coastal vegetation and non-vegetated tidal flats, play critical roles in biodiversity conservation, food production, and the global economy. Coastal wetlands in China are changing quickly due to land reclamation from sea, aquaculture, industrialization, and urbanization. However, accurate and updated maps of coastal wetlands (including vegetation and tidal flats) in China are unavailable, and the detailed spatial distribution of coastal wetlands are unknown. Here, we developed a new pixel- and phenology-based algorithm to identify and map coastal wetlands in China for 2018 using time series Landsat imagery (2,798 ETM+/OLI images) and the Google Earth Engine (GEE). The resultant map had a very high overall accuracy (98%). There were 7,474.6 km
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