文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(Global Map of Oil Palm Plantations)全球油棕种植园数据集!

The dataset is a 10m global industrial and smallholder oil palm map for 2019. It covers areas where oil palm plantations were detected. The classified images are the output of a convolutional neural ....

Google Earth Engine ——数据全解析专辑(Global Map of Oil Palm Plantations)全球油棕种植园数据集!
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(DEM-S: Australian Smoothed Digital Elevation Model)澳大利亚1弧秒 DEM!

The Smoothed Digital Elevation Model (DEM-S) was derived from the SRTM data acquired by NASA in February 2000. DEM-S represents ground surface topography (excluding vegetation features) and has been ....

Google Earth Engine ——数据全解析专辑(DEM-S: Australian Smoothed Digital Elevation Model)澳大利亚1弧秒 DEM!
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(DEM-H: Australian SRTM Hydrologically Enforced Digital)澳大利亚1弧秒 DEM!

The Hydrologically Enforced Digital Elevation Model (DEM-H) was derived from the SRTM data acquired by NASA in February 2000. The model has been hydrologically conditioned and drainage enforced. The ....

Google Earth Engine ——数据全解析专辑(DEM-H: Australian SRTM Hydrologically Enforced Digital)澳大利亚1弧秒 DEM!
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(AHN Netherlands 0.5m DEM, Interpolated)荷兰0.5m 格网DEM!

The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012.It contains ground level samples with all other items above ground (such....

Google Earth Engine ——数据全解析专辑(AHN Netherlands 0.5m DEM, Interpolated)荷兰0.5m 格网DEM!
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(Canada AAFC Annual Crop Inventory)

Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focus....

Google Earth Engine ——数据全解析专辑(Canada AAFC Annual Crop Inventory)
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(AHN Netherlands 0.5m DEM, Interpolated)荷兰0.5m 点云平方逆距离加权方法DEM!

The AHN DEM is a 0.5m DEM covering the Netherlands. It was generated from LIDAR data taken in the spring between 2007 and 2012. This version contains both ground level samples and items above gr....

Google Earth Engine ——数据全解析专辑(AHN Netherlands 0.5m DEM, Interpolated)荷兰0.5m 点云平方逆距离加权方法DEM!
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(ASTER L1T Radiance)

The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a multispectral imager that was launched on board NASA's Terra spacecraft in December, 1999. ASTER can collect data in 14....

Google Earth Engine ——数据全解析专辑(ASTER L1T Radiance)
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——数据全解析专辑(Australian 5M DEM)澳大利亚5m DEM(局部)!

The Digital Elevation Model (DEM) 5 Metre Grid of Australia derived from LiDAR model represents a National 5 metre (bare earth) DEM which has been derived from some 236 individual LiDAR surveys betwe....

Google Earth Engine ——数据全解析专辑(Australian 5M DEM)澳大利亚5m DEM(局部)!
文章 2022-04-26 来自:开发者社区

Google Earth Engine ——带缓冲的随机样本选择

地球引擎示例进行土地覆盖分类时的一个常见问题是采样数据中的空间自相关风险会扭曲预测结果或准确性评估。可以帮助解决此问题的一种方法是使用某种形式的缓冲确保训练和验证样本之间有足够的间隔。这个例子将演示一种方法来做到这一点。使用缓冲区生成随机样本的一种蛮力方法可能是获取大量样本,并通过丢弃近邻将这些样本过滤到较小的数字。然而,选择从哪些点开始可能具有挑战性,并且计算点之间距离的叉积可能很昂贵,因此这....

Google Earth Engine ——带缓冲的随机样本选择
文章 2022-04-26 来自:开发者社区

Google Earth Engine(GEE)—geemap天气、植被数据可视化时间序列分析

import ee import geemap # geemap.update_package()天气数据可视化Map = geemap.Map() collection = ee.ImageCollection('NOAA/GFS0P25') \ .filterDate('2018-12-22', '2018-12-23') \ .limit(24) \ .select('temp...

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