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Maryland Green Infrastructure - Green Infrastructure Hubs Corridors and Gaps

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ArcGIS Hub2026-06-17 更新2026-07-05 收录
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Maryland’s Green Infrastructure Assessment (GIA) provides high resolution, statewide data regarding the connected network of hubs, corridors, and gaps throughout the state. For the purposes of the MD GIA, hubs were defined as large contiguous blocks of forests and wetlands, corridors are defined as linear features connecting hubs that enable animals and plant propagules to move between hubs, and gaps are defined as areas within corridors that are not currently part of the optimal natural land use type(s). The original GIA was completed in 2003, and included mapping of hubs and corridors using 30m resolution Landsat landcover landuse data. GIA hubs were updated in 2010, using newer Landsat data, however corridors were not remapped at that time. This current update to the MD GIA dataset leverages the Chesapeake Conservancy’s 2017/2018 1m Land Use Land Cover (LCLU) dataset. This update provides the most up to date, high resolution green infrastructure data possible for the state. This data set also contains several improvements, including a more detailed break down of 3 hub types (forest, wetland, aquatic), 2 corridor types (forest and aquatic), and 3 corridor and gap statuses (natural corridor, restorable gap, non-restorable gap). Feature Serivce link: https://mdgeodata.md.gov/imap/rest/services/Biota/MD_GreenInfrastructure/FeatureServer

马里兰州绿色基础设施评估(Green Infrastructure Assessment, GIA)提供了该州全域的高分辨率数据,涵盖全州范围内枢纽、廊道与缺口的连通网络。在马里兰州GIA的定义框架中,枢纽指连片分布的大型森林与湿地区块;廊道为连接枢纽的线性地物,可支撑动物与植物繁殖体在枢纽间迁移;缺口则指廊道内当前未采用最优自然土地利用类型的区域。初始版GIA于2003年完成,采用30米分辨率的Landsat土地覆盖与土地利用数据完成枢纽与廊道的制图工作。2010年,研究团队使用更新后的Landsat数据对GIA的枢纽图层进行了更新,但当时未对廊道进行重新制图。本次马里兰州GIA数据集的更新,依托切萨皮克保护协会(Chesapeake Conservancy)2017/2018年发布的1米分辨率土地利用土地覆盖(Land Use Land Cover, LCLU)数据集。此次更新为该州提供了目前最前沿的高分辨率绿色基础设施数据。本数据集还包含多项优化改进:细化了3类枢纽类型(森林、湿地、水生)、2类廊道类型(森林与水生),以及3类廊道与缺口状态(自然廊道、可修复缺口、不可修复缺口)。要素服务链接:https://mdgeodata.md.gov/imap/rest/services/Biota/MD_GreenInfrastructure/FeatureServer

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2024-04-24
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