这个网站是专门提供一个已将上传到GEE上的资产中的资源,额可以直接使用,名称是awesome-gee-community-catalog由社区提供的地理空间数据集组成(Insiders program - awesome-gee-community-catalog),可供更大的谷歌地球引擎社区使用,并作为地球引擎资产公开分享。
https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2 https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_TOA 代码: vardataset=ee.ImageCollection("LANDSAT/LC09/C02/T1_TOA").filterDate('2022-01-01','2022-02-01');vartrueColor432=...
Earth Engine Explorer (EE Explorer) 是一个轻量级地理空间图像数据查看器,可以访问Earth Engine Data Catalog 中提供的大量全球和区域数据集。它允许快速查看数据,并能够在地球上的任何地方进行缩放和平移、调整可视化设置以及对数据进行分层以检查随时间的变化。 本教程将介绍 EE Explorer 应用程序的使用,包括: 如何在...
针对不同数据的具体信息,详见Catalog下的各个产品网页,除了波段信息、属性信息和一些说明之外,最后一般会提供一个简单的在code界面调用和可视化该产品的代码(所以直接看官方网页啦!): https://developers.google.com/earth-engine/datasets-- data catalog https://developers.google.com/earth-engine/datasets/catalog/C...
Sample Code:https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-AND-VALIDATION Shared License: This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy and redistribu...
pythongisimage-processingqgisremote-sensinggoogle-earth-enginegeoprocessingearthengineearth-engine UpdatedNov 5, 2021 Python Community Datasets added by users and made available for use at large cataloggeospatialgisgeospatial-dataremote-sensingawesome-listgoogle-earth-enginegoogleearthengineopen-datasetsearth-engi...
Landsat, a joint program of the USGS and NASA, has been observing the Earth continuously from 1972 through the present day. Today the Landsat satellites image the entire Earth's surface at a 30-meter resolution about once every two weeks, including multispectral and thermal data. The USGS prod...
https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLC10 Credits, Attributions and License¶ This dataset is available under a Creative Commons BY-4.0 license. Curated in GEE by: Samapriya Roy Keywords: : landcover, landuse, lu...
We analyzed the Kayapo territory for loss events usingHansen et al.’s (2013)global forest change 2000–18 imagery from theGoogle Earth Enginedata catalog and GLAD alert imagery (Hansen et al., 2013) for 2019. Loss events were extracted and tallied for each year within the time series for...
Sample Code:https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS Produced and maintained by theGlobal Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (...