SEBAL | The Surface Energy Balance Algorithm for Land
kandi X-RAY | SEBAL Summary
kandi X-RAY | SEBAL Summary
SEBAL is a Python library. SEBAL has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However SEBAL build file is not available. You can install using 'pip install SEBAL' or download it from GitHub, PyPI.
The Surface Energy Balance Algorithm for Land
The Surface Energy Balance Algorithm for Land
Support
Quality
Security
License
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Support
SEBAL has a low active ecosystem.
It has 19 star(s) with 23 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 10 have been closed. On average issues are closed in 197 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SEBAL is 3.4.4.3
Quality
SEBAL has 0 bugs and 0 code smells.
Security
SEBAL has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
SEBAL code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
SEBAL is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
SEBAL releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
SEBAL has no build file. You will be need to create the build yourself to build the component from source.
It has 8564 lines of code, 260 functions and 23 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed SEBAL and discovered the below as its top functions. This is intended to give you an instant insight into SEBAL implemented functionality, and help decide if they suit your requirements.
- Gets the Glyphs pars in the worksheet
- Performs the Landsat correction on bands
- Extracting Landsat data
- Calculate the lambda lambda lambda function
- Retrieves the PROBAV data for a ProBAV
- Opens the PROBAV image
- Extract the MODIS image from the excel
- Reproject MODIS
- Reject a rastered hdf5 file
- Gets the thermal pressure data from the excel
- Reproject a dataset
- Corrects the surface temperature based on the saturation rate
- Calculates the stress pressure of a soil
- Calculate the rise at a given location
- R Calculate a sensible heat value
- R Calculates thermal sharpening for a given NDVI
- Retrieve thermal data from MODIS
- Resizes an raster
- R Calculate surface water temperature
- R Calculates the thermal distortion coefficients for a linear network
- Fill gap filling with no data
- R Calculates the Separate E_T
- Calculate meteo
- Extract time information from the excel file
- R Calculate Biomass production
- Calculates the temperature of the temperature
Get all kandi verified functions for this library.
SEBAL Key Features
No Key Features are available at this moment for SEBAL.
SEBAL Examples and Code Snippets
No Code Snippets are available at this moment for SEBAL.
Community Discussions
Trending Discussions on SEBAL
QUESTION
How to count number of false values in an array mongo db query
Asked 2020-Feb-22 at 05:45
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notification_obj:
0 notification_text:"Welcome to the app and your account is created hello."
open:false
type:"just_click"
1 notification_text:"Sebal started following you."
open:true
type:"open_profile"
2 notification_text:"Hella started following you."
open:false
type:"open_profile"
...ANSWER
Answered 2020-Feb-22 at 05:45I think this code help you.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SEBAL
You can install using 'pip install SEBAL' or download it from GitHub, PyPI.
You can use SEBAL 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.
You can use SEBAL 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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