geepy | Access google earth engine products for a time-series

by adbeda Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | geepy Summary

geepy is a Python library typically used in Manufacturing, Utilities, Aerospace, Defense, Internet of Things (IoT) applications. geepy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Geepy is built up on Google Earth Engine's python api with a goal in mind of simplifying the process to access imagery for a particular area of our interest. The tool allows users to leverage ESRI's shapefile to crop and interact with a product. Geepy also lets users download certain products for a time-series analysis by cropping and extracting image collections by the temporal resolution (e.g, 16-day, pentad, 1-day...) of the product. Hence, data for each temporal span will be exported as an individual geoTIFF file. Follow instructions from Google Earth Engine Install. Example: Get CHIRPS (rainfall) data for our study area sample.shp.

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Quality

Security

License

Reuse

Support

geepy has a low active ecosystem.

It has 7 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 229 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of geepy is current.

Quality

geepy has no bugs reported.

Security

geepy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

geepy does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

geepy releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed geepy and discovered the below as its top functions. This is intended to give you an instant insight into geepy implemented functionality, and help decide if they suit your requirements.

r Retrieve ater estimate for a specific property .
Get the sentinel image .
Get Landsat data for a given product
Saves a geometry to disk
Extract features from a shapefile .
Get the ChIRPS data for a given feature .
Get a collection of a given product .
Get an image from a given product
Get MODIS .
fill cloud mask in image

Get all kandi verified functions for this library.

geepy Key Features

No Key Features are available at this moment for geepy.

geepy Examples and Code Snippets

No Code Snippets are available at this moment for geepy.

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install geepy

You can download it from GitHub.
You can use geepy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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