{"id":949,"date":"2024-09-29T12:49:51","date_gmt":"2024-09-29T12:49:51","guid":{"rendered":"https:\/\/garslab.com\/?p=949"},"modified":"2024-09-29T12:51:55","modified_gmt":"2024-09-29T12:51:55","slug":"global-inland-and-coastal-dike-pond-systems","status":"publish","type":"post","link":"https:\/\/garslab.com\/?p=949","title":{"rendered":"Global Inland and Coastal Dike-pond Systems"},"content":{"rendered":"\n

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

This dataset presents the first global vector database of inland and coastal dike-pond systems, capturing the maximum extent of global dike-pond systems from 1984 to 2020, as well as vector data for three distinct periods (1984-2000, 2001-2010, and 2011-2020). Produced using 30-meter resolution Landsat products and a deep learning model, this dataset features extensive coverage, high accuracy, and strong spatiotemporal consistency. A 30-kilometer buffer zone was applied to differentiate between the inland and coastal study area. <\/p>\n\n\n\n

The dike-pond systems defined in this study represent an aggregation of various reclamation purposes, including aquaculture ponds, rice fields, salt ponds, and mining ponds. They are predominantly reclaimed from wetlands such as lakes, rivers, estuaries, floodplains, and their adjacent lands.<\/p>\n\n\n\n

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

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

The dataset is publicly available at the figshare platform:<\/p>\n\n\n\n

https:\/\/figshare.com\/s\/34b9d9a032751d6ef6f0<\/a><\/p>\n\n\n\n

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

Xu, Y., Feng, L*<\/sup>., Fang, H., Song, X. P., Gieseke, F., Kariryaa, A., Oehmcke, S., Gibson, L., Jiang, X., Lin, R., Woolway, R.I., Zheng, C., Brandt, M. & Fensholt, R. (2024). Global mapping of human-transformed dike-pond systems.\u00a0Remote Sensing of Environment<\/em>,\u00a0313<\/em>, 114354.<\/p>\n","protected":false},"excerpt":{"rendered":"

Basic descriptions This dataset presents the first global vector database of inland and coastal dike-pond systems, capturing the maximum extent of global dike-pond systems from 1984 to 2020, as well as vector data for three distinct periods (1984-2000, 2001-2010, and 2011-2020). Produced using 30-meter resolution Landsat products and a deep learning model, this dataset features<\/p>\n","protected":false},"author":2,"featured_media":950,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,19],"tags":[],"class_list":["post-949","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data","category-water-surface-and-wetland"],"yoast_head":"\nGlobal Inland and Coastal Dike-pond Systems - 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=949\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Global Inland and Coastal Dike-pond Systems - Global Aqua Remote Sensing (GARS) laboratory\" \/>\n<meta property=\"og:description\" content=\"Basic descriptions This dataset presents the first global vector database of inland and coastal dike-pond systems, capturing the maximum extent of global dike-pond systems from 1984 to 2020, as well as vector data for three distinct periods (1984-2000, 2001-2010, and 2011-2020). 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