bfastSpatial | perform change detection on satellite image time | Data Visualization library

by loicdtx R Version: 0.6.2 License: No License

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

kandi X-RAY | bfastSpatial Summary

bfastSpatial is a R library typically used in Analytics, Data Visualization, Tensorflow applications. bfastSpatial has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Package to pre-process gridded time-series data in order for them to be analyzed with change detection algorithms such as bfast. Uses classes from the raster package and includes utilities to run the algorithms and post-process the results.

Support

Quality

Security

License

Reuse

Support

bfastSpatial has a low active ecosystem.

It has 77 star(s) with 36 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 40 open issues and 52 have been closed. On average issues are closed in 104 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of bfastSpatial is 0.6.2

Quality

bfastSpatial has 0 bugs and 0 code smells.

Security

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

bfastSpatial code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

bfastSpatial 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

bfastSpatial releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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bfastSpatial Key Features

No Key Features are available at this moment for bfastSpatial.

bfastSpatial Examples and Code Snippets

No Code Snippets are available at this moment for bfastSpatial.

Community Discussions

Trending Discussions on bfastSpatial

Raster stack or brick unable to process trendmap function from greenbrown package

QUESTION

Raster stack or brick unable to process trendmap function from greenbrown package

Asked 2019-Nov-13 at 17:59

The greenbrown package does not work with raster time series (RTS) and therefore I wanted to work with raster stack or brick. The trendmap function still does not work in this case with a length problem but both the stack and time function have the same amount of variables. The data is MODIS EVI.

it shows here http://greenbrown.r-forge.r-project.org/trends.php

trendmap <- TrendRaster(ndvimap, start=c(1982, 1), freq=12, method="AAT", breaks=1, funAnnual=max)

...

ANSWER

Answered 2019-Nov-13 at 17:59

The problem was the size of the data. On a normal machine running the script for the entire study area led to issues but these were resolved by taking a small subset of the data.

Source https://stackoverflow.com/questions/58739450

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

Vulnerabilities

No vulnerabilities reported

Install bfastSpatial

The package can be installed directly from github using devtools.

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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