{"id":451,"date":"2023-02-20T12:46:35","date_gmt":"2023-02-20T12:46:35","guid":{"rendered":"https:\/\/garslab.com\/?p=451"},"modified":"2023-12-27T03:47:07","modified_gmt":"2023-12-27T03:47:07","slug":"chinese-reconstructed-lake-area-dataset","status":"publish","type":"post","link":"https:\/\/garslab.com\/?p=451","title":{"rendered":"China Lake Area"},"content":{"rendered":"\n

Basic descriptions<\/strong><\/h2>\n\n\n\n

This dataset provides the reconstructed surface water area time series for all studied lakes >1 km2<\/sup> in China during the period of 2000-2019. Here an improved occurrence threshold-based water classification recovery algorithm, along with a well-designed quality control process were developed to correct the contaminated remote sensing images and generated high-quality, large-scale and long-term continuous surface water area time series for both natural lakes and reservoirs in China.  <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Users can access the dataset to obtain the annual lake surface water area values before and after data reconstruction for all lakes with boundary area > 1km2<\/sup> in China. Note that the lake polygons from the GLAKES dataset were used to define the boundary of lakes in China. In addition, a reservoir flag was also provided to identify whether each lake is a manmade reservoir (value=1) or a natural lake (value=0).<\/p>\n\n\n\n

Data download<\/strong><\/h2>\n\n\n\n
\n

The Chinese reconstructed lake area dataset is publicly available through the zenodo platform:<\/p>\n\n\n\n

https:\/\/zenodo.org\/records\/10404073<\/a><\/p>\n<\/div>\n\n\n\n

Related Publications<\/strong><\/h2>\n\n\n\n
\n

Feng, L., Pi, X., Luo, Q., & Li, W. (2023). Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China. Remote Sensing of Environment, 297, 113775. <\/p>\n\n\n\n

https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425723003267?via%3Dihub<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Basic descriptions This dataset provides the reconstructed surface water area time series for all studied lakes >1 km2 in China during the period of 2000-2019. Here an improved occurrence threshold-based water classification recovery algorithm, along with a well-designed quality control process were developed to correct the contaminated remote sensing images and generated high-quality, large-scale and long-term continuous<\/p>\n","protected":false},"author":2,"featured_media":452,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,19],"tags":[],"class_list":["post-451","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data","category-water-surface-and-wetland"],"yoast_head":"\nChina Lake Area - Global Aqua Remote Sensing (GARS) laboratory<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/garslab.com\/?p=451\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"China Lake Area - Global Aqua Remote Sensing (GARS) laboratory\" \/>\n<meta property=\"og:description\" content=\"Basic descriptions This dataset provides the reconstructed surface water area time series for all studied lakes >1 km2 in China during the period of 2000-2019. 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