Woody Extent Vegetation - Cessnock LGA. VIS ID 5123

The Department of Planning provides support to Local Government to enable evidence-based planning decisions. Biodiversity and Conservation Division collaborated with Cessnock City Council in 2021-2022 to deliver environmental map layers (Environmental Lands Study) that facilitate council’s review of their Local Environment Plan. This dataset is one of those and delineates woody vegetation at fine scale across the 196,468-hectare Cessnock Local Government Area (LGA). All tenures were mapped excluding National Parks and Wildlife Service (NPWS) estate because they are formally reserved and protected under Local Environment Plans and were outside of the scope of the Environmental Lands Study. Data is in vector format and was produced to a scale range of 1:500 – 1:3000 and captures individual trees or shrubs with diameters down to 3m whilst excluding and eliminating shadow effects. \r\nThe dataset is an accurate fine-scale baseline woody dataset for the Cessnock LGA that is current with the image dates of 2017-19 in the east and 2011 for a small area in the far west. From here on the layer will require maintenance and updating as landuse and landcover changes over time. However, the layer’s accuracy means that maintenance and update requirements are minimal in terms of mapping expertise and resources. Either field verified data or newer high-resolution imagery can be used to perform maintenance and updating of the layer.

规划署为地方政府提供支持，助力其制定基于实证依据的规划决策。生物多样性与保护司（Biodiversity and Conservation Division）于2021—2022年间与塞斯诺克市议会合作，推出环境地图图层项目（《环境土地研究》，Environmental Lands Study），以协助该议会开展地方环境规划的审查工作。本数据集即为该项目成果之一，以精细尺度勾勒了占地196468公顷的塞斯诺克地方政府区域（Local Government Area, LGA）内的木本植被空间分布。本次制图覆盖所有土地权属类型，但排除国家公园与野生动物服务局（National Parks and Wildlife Service, NPWS）管辖的地产——该类区域已依据地方环境规划完成正式划定与保护，且不属于《环境土地研究》的覆盖范围。本数据集采用矢量格式制作，制图比例尺范围为1:500至1:3000，可识别直径低至3米的单个乔木或灌木，并已剔除并消除阴影干扰。
本数据集为塞斯诺克地方政府区域提供了精准的精细尺度木本植被基准数据集，其影像数据源时效性为：东部区域为2017至2019年，西部偏远小片区域为2011年。后续随着土地利用与土地覆被随时间发生变化，该图层需进行维护与更新。但得益于本图层的高精度特性，其在制图专业技术与资源投入方面的维护更新需求极低。可通过实地验证数据或新型高分辨率影像完成该图层的维护与更新工作。