MIT License

项目介绍

gee-community/geetools 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 MIT License 许可证,目前获得 571 个 Star、124 次 Fork。

仓库全名
gee-community/geetools
开源许可证
MIT License
Star 数
571
Fork 数
124
未关闭 Issue
21

README 摘要

:target: LICENSE :alt: License: MIT :target: https://conventionalcommits.org :alt: conventional commit :target: https://github.com/psf/black :target: https://github.com/prettier/prettier :target: https://pre-commit.com/ :alt: pre-commit :target: https://pypi.org/project/geetools/ :alt: PyPI version :target: https://github.com/conda-forge/geetools-feedstock :alt: Conda-forge version :target…

完整内容见 GitHub 原始 README 或本页 。

常见问题

geetools 用什么语言开发?

主要使用 Python 编写,采用 MIT License 许可证,目前有 571 个 Star。

geetools 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 geetools 的源码?

可以直接克隆仓库:git clone https://github.com/gee-community/geetools.git,默认分支为 main;安装与运行步骤见仓库 README。

geetools 最近还在维护吗?

仓库最近一次更新为 1 天前,当前有 21 个未关闭 Issue;Star 数为 571,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

A collection of tools to work with Google Earth Engine Python API

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
847
价值分
381
活跃状态
活跃

语言占比

Jupyter Notebook
Python

Release

README

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… |conda| image:: https://img.shields.io/conda/vn/conda-forge/geetools?color=blue&logo=anaconda&logoColor=white :target: https://github.com/conda-forge/geetools-feedstock :alt: Conda-forge version

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geetools

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Google Earth Engine tools

… image:: https://raw.githubusercontent.com/gee-community/geetools/main/docs/_static/logo.svg :width: 20% :align: right

Google Earth Engine <https://earthengine.google.com/>__ is a cloud-based service for geospatial processing of vector and raster data. The Earth Engine platform has a JavaScript and a Python API <https://developers.google.com/earth-engine/guides>__ with different methods to process geospatial objects.

The geetools package extends the Google Earth Engine Python API with pre-processing and processing tools for the most used satellite platforms by adding utility methods for different Earth Engine Objects that are friendly with the Python method chaining using the geetools namespace.

There is JavaScript module that you can import from the code editor that has similar functions (not exactly the same) and it’s available here <https://github.com/fitoprincipe/geetools-code-editor>__.

Installation

… code-block:: python

pip install geetools

Why using it ?

New utility methods and constructors are added to most of the GEE classes. They can be simple wrapper for repetitive tasks, complex algorithm or mandatory preprocessing steps. The goal is to make the code more fluid and easy to read for researchers, students and analysts.

The package design is mostly performing server-side computation making it also very friendly with commercial users of Earth Engine.

This small example wrapping of the excellent ee_extra package functionalities shows how to preprocess sentinel 2 data in 5 lines of code:

… code-block:: python

import ee import geetools #noqa: F401 import pygaul # another gee-community package to access FAO GAUl 2015 dataset

we assume you are already authenticated to GEE

ee.Initialize.geetools.from_user() # yes we also support multi users

amazonas = pygaul.Items(name=“Amazonas”).centroid()

S2 = ( ee.ImageCollection(‘COPERNICUS/S2_SR’) .filterBounds(point) .geetools.closest(‘2020-10-15’) # Extended (pre-processing) .geetools.maskClouds(prob = 70) # Extended (pre-processing) .geetools.scaleAndOffset() # Extended (pre-processing) .geetools.spectralIndices([‘NDVI’,‘NDWI’,‘BAIS2’])) # Extended (processing)

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