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美国国家潮汐数字海拔模型 25 米 1.0.0 [已废弃]
国家潮汐数字海拔模型 (NIDEM;Bishop-Taylor 等人,2018、2019) 是澳大利亚露出式潮汐区的大陆级海拔数据集。NIDEM 首次以三维方式呈现了澳大利亚的潮间沙滩和海岸、潮汐平原以及 25 米以下的岩石海岸和礁石。 australia dem ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA 几何中位数和中位绝对偏差 - Landsat 5 3.1.0 [已废弃]
此产品提供了统计工具,可利用 Digital Earth Australia 中提供的 Landsat 5 数据时间序列,提供有关一般情况和给定年份某个区域变化幅度的年度图片。产品的地理中位数部分提供了一个不含云的“平均”… 澳大利亚 ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA 几何中位数和中位绝对偏差 - Landsat 7 3.1.0 [已废弃]
此产品提供了统计工具,可利用 Digital Earth Australia 中提供的 Landsat 7 数据时间序列,提供有关一般情况和给定年份某个区域变化幅度的年度图片。产品的地理中位数部分提供了一个不含云的“平均”… 澳大利亚 ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA 几何中位数和中位绝对偏差 - Landsat 8 和 9 v4.0.0 [已废弃]
此产品提供了统计工具,可利用 Digital Earth Australia 中提供的 Landsat 8 和 9 数据的时间序列,提供有关一般情况和给定年份某个区域变化幅度的年度图片。对于 2022 年及之后的日历年,Landsat 8 和 … 澳大利亚 ga geoscience-aus-cat landsat-derived publisher-dataset -
DEA 土地覆盖 1.0.0 [已废弃]
Digital Earth Australia (DEA) Land Cover 使用联合国粮食及农业组织土地覆盖分类系统分类法版本 2 (Di Gregorio and Jansen, 1998; 2005) 为澳大利亚提供年度土地覆盖分类。DEA 土地覆盖数据集可将 30 多年的卫星图像转化为以下证据: 澳大利亚 ga geoscience-aus-cat landcover landsat-derived publisher-dataset -
DEA 水文观测统计数据 3.1.6 [已废弃]
Digital Earth Australia (DEA) Water Observations 使用算法将 Landsat 卫星图像中的每个像素分类为“湿区”“干区”或“无效”。“水域观测统计信息”摘要卡提供了以下信息:Landsat 卫星每年能够清晰地看到某个区域的次数、某个区域在一年内被 Landsat 卫星观测到的次数、某个区域在一年内被 Landsat 卫星观测到的天数、某个区域在一年内被 Landsat 卫星观测到的小时数、某个区域在一年内被 Landsat 卫星观测到的分钟数。 australia ga geoscience-aus-cat landsat-derived publisher-dataset water
Datasets tagged geoscience-aus-cat in Earth Engine
[null,null,[],[[["\u003cp\u003eNIDEM provides a 25m resolution elevation model of Australia's intertidal zones, including beaches, tidal flats, and rocky shores.\u003c/p\u003e\n"],["\u003cp\u003eDEA offers statistical tools based on Landsat 5, 7, 8, and 9 data to analyze annual land conditions and changes in Australia.\u003c/p\u003e\n"],["\u003cp\u003eDEA Land Cover provides annual land cover classifications for Australia using the Food and Agriculture Organisation Land Cover Classification System.\u003c/p\u003e\n"],["\u003cp\u003eDEA Water Observations Statistics delivers insights into the frequency of clear Landsat observations and water classifications (wet, dry, invalid) across Australia.\u003c/p\u003e\n"]]],["The datasets provide geospatial information about Australia, focusing on land and water features. The National Intertidal Digital Elevation Model (NIDEM) offers a 25m-resolution, 3D representation of Australia's intertidal zone. Several datasets analyze Landsat data, providing annual \"average\" cloud-free images and change metrics. The Land Cover dataset uses satellite imagery to classify Australia's land annually, utilizing the Food and Agriculture Organisation's Land Cover Classification System. Water Observations Statistics classifies each pixel as 'wet', 'dry', or 'invalid'.\n"],null,["# Datasets tagged geoscience-aus-cat in Earth Engine\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### National Intertidal Digital Elevation Model 25m 1.0.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_NIDEM) |\n | The National Intertidal Digital Elevation Model (NIDEM; Bishop-Taylor et al. 2018, 2019) is a continental-scale elevation dataset for Australia's exposed intertidal zone. NIDEM provides the first three-dimensional representation of Australia's intertidal sandy beaches and shores, tidal flats and rocky shores and reefs at 25 m ... |\n | [australia](/earth-engine/datasets/tags/australia) [dem](/earth-engine/datasets/tags/dem) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Geometric Median and Median Absolute Deviation - Landsat 5 3.1.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls5t_nbart_gm_cyear_3) |\n | This product provides statistical tools to exploit the time series of Landsat 5 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an \"average\" cloud-free ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Geometric Median and Median Absolute Deviation - Landsat 7 3.1.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls7e_nbart_gm_cyear_3) |\n | This product provides statistical tools to exploit the time series of Landsat 7 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an \"average\" cloud-free ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Geometric Median and Median Absolute Deviation - Landsat 8 and 9 v4.0.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls8cls9c_gm_cyear_3) |\n | This product provides statistical tools to exploit the time series of Landsat 8 and 9 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. For calendar years 2022 onwards, Landsat 8 and ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Land Cover 1.0.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls_landcover_class_cyear_2) |\n | Digital Earth Australia (DEA) Land Cover provides annual land cover classifications for Australia using the Food and Agriculture Organisation Land Cover Classification System taxonomy Version 2 (Di Gregorio and Jansen, 1998; 2005). DEA Land Cover translates over 30 years of satellite imagery into evidence of ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landcover](/earth-engine/datasets/tags/landcover) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Water Observations Statistics 3.1.6 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls_wo_fq_cyear_3) |\n | Digital Earth Australia (DEA) Water Observations uses an algorithm to classify each pixel from Landsat satellite imagery as 'wet', 'dry', or 'invalid'. Water Observations Statistics provides information on how many times each year the Landsat satellites were able to clearly see an area, how many ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) [water](/earth-engine/datasets/tags/water) |"]]