Openldev
Openldev is an open-source integrated development environment for developing and testing Landsat algorithms. It provides tools for downloading Landsat data, viewing imagery, developing algorithms in Python, and assessing algorithm performance.
Openldev: Open-Source Integrated Development Environment for Landsat Algorithm Development
Openldev is an open-source integrated development environment for developing and testing Landsat algorithms. It provides tools for downloading Landsat data, viewing imagery, developing algorithms in Python, and assessing algorithm performance.
What is Openldev?
Openldev is an open-source integrated development environment designed specifically for developing and testing algorithms for Landsat satellite imagery. It provides a suite of tools that allow users to easily access and work with Landsat data.
Some of the key features of Openldev include:
- Tools for searching and downloading Landsat scenes from USGS and Google Earth Engine databases
- A viewer for visualizing and exploring Landsat bands and derived image products
- An editor for writing, running, and debugging Python scripts that process Landsat data
- Functions for assessing algorithm performance, including accuracy assessment and validation datasets
- Model exporters for deploying algorithms as REST web services or Docker containers
By combining access to Landsat data, a Python-based development environment, and algorithm assessment tools into a single platform, Openldev aims to lower barriers for developers working with Landsat and satellite imagery in general. It can be useful for prototyping new ideas, conducting research, or implementing operational data processing workflows.
Openldev is free and open-source software, licensed under the Mozilla Public License 2.0. It can be installed on Linux, MacOS, and Windows systems.
Openldev Features
Features
- Integrated development environment for Landsat algorithm development
- Tools for downloading Landsat data
- Viewing Landsat imagery
- Developing algorithms in Python
- Assessing algorithm performance
Pricing
- Open Source
Pros
Open source
Free
Active development community
Integrates various tools needed for Landsat algorithm development
Cons
Currently only supports Python
Limited to Landsat data and algorithms
Less features than full commercial IDEs
Official Links
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