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googleearthengine 开源项目推荐(121 个)
googleearthengine 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 121 个仓库Google Earth Engine for R
A desktop AI assistant for geoscience data processing
Land Surface Temperature from Landsat on Google Earth Engine
将ERA 5数据吸收到Google Earth Engine中的函数和Python脚本
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.
Short course on interactive analysis of Big Earth Data with Jupyter Notebooks
Supplementary Material to my Remote Sensing publication 'Sentinel-1-Imagery-Based High-Resolution Water Cover Detection on Wetlands, Aided by Google Earth Engine'
This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR image despeckling.
A fast way to download satellite images by defining the location from google-earth-engine
ee-cptcity is a module for Google Earth Engine where you can find multiple colour palettes of different themes related to cartography, technical illustration and design. Currently ee-cptcity module has more 300 of color palettes available for the users.
Assessed the performance of Random Forest (RF) and Support Vector Machines (SVM) machine learning algorithms for land cover classification in a predominant agricultural landscape using the fusion of time-series Sentinel-1 and Sentinel-2.
HyBRIS handles the downloading of field-level Sentinel-1 and Sentinel-2 time series. Normalized optical and radar indices can be combined into hybrid indices. Phenological growing seasons are segmented using minima and maxima of the time series. Estimates sowing, harvest, and tillage dates + dormant periods.
Tool for comparing International Soil Moisture Network (ISMN) sensor data with Sentinel-1 SAR backscatter from Google Earth Engine (GEE)
CoRE Stack Backend written in Django which computes layers, CRUD operations, build resources and demands.
The repository contains data for the paper titled"High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial framework"
Prepare 30m resolution tree-height map for Nilgiri Bioshphere Reserve using Google Earth Engine. Uses GEDI, Landsat-8, ALOS-PALSAR, Sentinel-1 data products.
Utility to download Landsat imagery from AWS or Google Earth Engine servers
All the Google Earth Engine scripts I wrote and shared with the scientific community. Please like, share and subscribe to my youtube channel (https://www.youtube.com/channel/UCvH8JoH8zMLPjyT2S0T8s9g).
Official Repository for Burn Area Mapper (BAM)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/googleearthengine。
- 该话题在 GitHub 上共有 121 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2769 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。