East Kimberley remotely sensed datasets

This compilation data release is a selection of remotely sensed imagery used in the Exploring for the Future (EFTF) East Kimberley Groundwater Project. Datasets include: • Mosaic 5 m digital elevation model (DEM) with shaded relief • Normalised Difference Vegetation Index (NDVI) percentiles • Tasselled Cap exceedance summaries • Normalised Difference Moisture Index (NDMI) • Normalised Difference Wetness Index (NDWI) The 5m spatial resolution digital elevation model with associated shaded relief image were derived from the East Kimberley 2017 LiDAR survey (Geoscience Australia, 2019b). The Normalised Difference Vegetation Index (NDVI) percentiles include 20th, 50th, and 80th for dry seasons (April to October) 1987 to 2018 and were derived from the Landsat 5,7 and 8 data stored in Digital Earth Australia (see Geoscience Australia, 2019a). Tasselled Cap Exceedance Summary include brightness, greenness and wetness as a composite image and were also derived from the Landsat data. These surface reflectance products can be used to highlight vegetation characteristics such as wetness and greenness, and land cover. The Normalised Difference Moisture Index (NDMI) and Normalised Difference Water Index (NDWI) were derived from the Sentinel-2 satellite imagery. These datasets have been classified and visually enhanced to detect vegetation moisture stress or water-logging and show distribution of moisture. For example, positive NDWI values indicate waterlogged areas while waterbodies typically correspond with values greater than 0.2. Waterlogged areas also correspond to NDMI values of 0.2 to 0.4. Geoscience Australia, 2019a. Earth Observation Archive. Geoscience Australia, Canberra. http://dx.doi.org/10.4225/25/57D9DCA3910CD Geoscience Australia, 2019b. Kimberley East - LiDAR data. Geoscience Australia, Canberra. C7FDA017-80B2-4F98-8147-4D3E4DF595A2 http://pid.geoscience.gov.au/dataset/ga/129985

本数据集发布汇编选取了用于未来勘探（Exploring for the Future，EFTF）东金伯利地下水项目的遥感影像数据。所包含的数据集如下：
• 带阴影晕渲的5米分辨率数字高程模型（Digital Elevation Model，DEM）
• 归一化差分植被指数（Normalised Difference Vegetation Index，NDVI）百分位数数据
• 缨帽变换超出值汇总数据
• 归一化差分水分指数（Normalised Difference Moisture Index，NDMI）
• 归一化差分水体指数（Normalised Difference Water Index，NDWI）

该附带阴影晕渲效果的5米分辨率数字高程模型，源自2017年东金伯利地区激光雷达（LiDAR）勘测成果（澳大利亚地质调查局，2019b）。

归一化差分植被指数（NDVI）百分位数数据涵盖1987年至2018年旱季（4月至10月）的第20、50、80百分位数，其数据源为存储于澳大利亚数字地球平台的Landsat 5、7、8卫星遥感数据（参见澳大利亚地质调查局，2019a）。

缨帽变换超出值汇总数据包含亮度、绿度与湿度分量的合成影像，同样源自Landsat系列卫星遥感数据。

此类地表反射率产品可用于凸显植被湿度、绿度及土地覆被等相关特征。

归一化差分水分指数（NDMI）与归一化差分水体指数（NDWI）源自Sentinel-2卫星影像。上述数据集经过分类处理与视觉增强优化，可用于识别植被水分胁迫或涝渍状况，并直观展示区域水分分布情况。例如，NDWI正值代表涝渍区域，水体通常对应NDWI值大于0.2的范围；涝渍区域同时对应NDMI值处于0.2至0.4之间的区间。

澳大利亚地质调查局，2019a。地球观测档案。澳大利亚地质调查局，堪培拉。http://dx.doi.org/10.4225/25/57D9DCA3910CD
澳大利亚地质调查局，2019b。东金伯利——激光雷达数据。澳大利亚地质调查局，堪培拉。C7FDA017-80B2-4F98-8147-4D3E4DF595A2 http://pid.geoscience.gov.au/dataset/ga/129985