Radar Analysis Software
- Gibson Ridge Radar Software
- Radar Data Analysis
- Mathcad Radar System Analysis Software
- Radar Performance Analysis Software
- Downloaded radar data is in a unique digital binary format. To visualize and decode the data the use of special software is necessary. Several free visualization.
- The Radar Analysis Tools include the programs ppi, sprint and cedric. All of these programs are stored in the same CISL Subversion repository. Subversion is a version control system, with online documentation here. The source code can be checked out from the repository with this command.
- Radar system design, simulation, and analysis is complex because the design space spans the digital, analog, and RF domains. These domains extend across the complete signal chain, from the antenna array, to radar signal processing algorithms, to data processing and control.
- Weather radar software is best defined and identified in the overall implications and use in weather radar systems in the overall functionality in locating precipitations, incorporated in calculation of motion and overall estimation of the type of weather condition to be anticipated.
What are some open source remote sensing software packages?
There has been a big shift over the years to build software in an open, collaborative manner. This software is made available to the public and is called open source.
StormPredator - Personal Weather Radar Software with realistic Map Topography, Multiple NEXRAD Radar products, Storm Tracking, Visual, Audible, Email, Pager, & Cellphone Weather Alerting, Weather Forecasts, Current Data, and History Images. Make comprehensive radar analysis of FM linear chirp and pulsed RF modulated signals in time, frequency and modulation domains. Home Software Application Software. NCEI Radar Software NCEI's Weather and Climate Toolkit is Java™-based software that visualizes WSR-88D Level-II and Level-III Next Generation Weather Radar (NEXRAD) and Terminal Doppler Weather Radar (TDWR) data, including data from the NCEI archive.
There is no exception for open source remote sensing software.
Satellite and aerial imagery provides answers for environmental change, weather forecasting, disaster management, food security and other remote sensing applications. Remote sensing software processes images and provides solutions to local or global issues.
In an open source environment, remote sensing analysts perform techniques such as image classification, atmospheric correction and even radar decomposition.
A list of open source remote sensing software
The choices for commercial remote sensing software has increased over the years.
But what you may not know is the abundance of choice for open source remote sensing software.
The big plus:
They are for public use at no cost.
Without further ado, here is the big list of 13 open source remote sensing software packages.
1 The Sentinel Toolbox
The Sentinel Toolbox consists of 3 separate applications:
- Sentinel-1 Toolbox (SAR applications)
- Sentinel-2 Toolbox (High resolution optical applications)
- And Sentinel-3 Toolbox (High resolution optical applications)
Sentinel-2 has become the gold standard for open satellite data. In order to process the vast amounts of data collected by Sentinel-2A/2B, users can use the Sentinel Toolbox. One of the highlights of the Sen2cor plugin which allows users to correct for atmospheric effects and classify images.
If you download Sentinel-1 synthetic aperture radar data, you can process your data with the Sentinel-1 toolbox. For example, you can perform interferometry, speckle filtering and coregistration.
For your assistance, the open STEP Forum is a vibrant community of remote sensing enthusiasts to help answer questions you have.
2 QGIS Semi-automatic Classification Plugin (SCP)
QGIS is one of the most powerful open source GIS software packages available for free… And plugins are the key its success.
In terms of remote sensing plugins, the semi-automatic classification plugin offers the most practical solution for optical images.
Because you can download Sentinel, Landsat, ASTER and MODIS imagery directly using the plugin, this feature makes the plugin most convenient for is supervised image classification.
Furthermore, it also provides tools to its pre- and post-processing of imagery. No wonder why it’s in the top 5 downloaded plugins for QGIS.
READ MORE:Open Source QGIS Guide and Review
3 SAGA GIS: System for Automated Geoscientific Analyses
SAGA GIS is ideal for most remote sensing needs because of its rich library grid, imagery and terrain processing modules.
In terms of classification, it has your basic supervised but it’s not as intuitive and user-friendly as other remote sensing software. For analyses and manipulation, it flourishes with terrain tools like TPI, TWI and soil classification. It also has some rudimentary tools for photogrammetry and support vector machine (SVM).
Although it has a vast library of raster-based tools, the only downfall of SAGA GIS is the lack of documentation for some of them.
READ MORE:SAGA GIS (System for Automated Geoscientific Analyses) Review and Guide
4 ORFEO Toolbox (OTB): Optical and Radar Federated Earth Observation
The ORFEO toolbox was a cooperative project developed by France and Italy primarily built on the shoulders of the open source community.
This image processing library specifically aims at high spatial resolution data. ORFEO provides a wide range of remote sensing functions including radiometry, PCA, change detection, pan sharpening, image segmentation, classification and filtering.
One really interesting aspect of this software is the capability to do Large-Scale Mean-Shift segmentation (LSMC). This type of object based image analysis is a rare feature seen in software nowadays.
5 GRASS: Geographic Resources Analysis Support System
GRASS GIS is full of functionality. For example, it offers image classification, PCA, edge detection, radiometric corrections, 3D, geostatistics analysis and filtering options.
Gibson Ridge Radar Software
Another key feature of GRASS is the LiDAR processing and analysis. You can filter LiDAR points, create contours and generate DEMs. Next time you see a LAS file, see what GRASS can do with it.
READ MORE:GRASS GIS – Geographic Resources Analysis Support System
6 PolSARPro
For synthetic aperture radar, you may want to look into PolSARPro. This software can handle dual and full polarization SAR from ENVISAT-ASAR, ALOS-PALSAR, RADARSAT-2 and TerraSAR-X.
There’s a wide range of tools like importing, conversion, filtering, decompositions, inSAR processing and calibration. Another neat part of this software is the graph processing framework where users can automate workflow. This functionality is similar to ArcGIS model builder and easy to set up.
Overall, PolSARPro is a very sophisticated piece of open source remote sensing software. You need to take a look at PolSARPro if you’re working with full or dual polarization SAR data.
7 Opticks
The neat part about Opticks software is the long list of extensions you can add. There are plugins for raster math, radar processing and hyper/multispectral.
Before downloading an extension, make sure to check the compatibility. Actually, you might have to scale back your Opticks version in order for the extension to work properly
8 OSSIM: Open Source Software Image Map
Not only has it been actively developed for almost two decades but interesting enough, it’s being funded through US departments such as in intelligence and defense.
OSSIM is a high performance open source remote sensing software application. Some of the key features is compatibility with more than 100 raster and vector formats and over 4000 different projections and datums. Ni usb 6501 manual.
It supports a long list of sensors but some may require additional plug-ins. If you need some remote sensing direction for high spatial resolution imagery, OSSIM might be the answer you have been searching for.
9 InterImage
InterImage is a bit different from the other open source remote sensing software on this list. It specializes in automatic image interpretation, which is pretty neat.
The core theme of automatic image interpretation is object-based image analysis (OBIA). This involves segmentation, exploring their spectral, geometric and spatial properties and then classification.
Radar Data Analysis
Although InterImage was developed in Brazil, documentation is available in English.
10 ILWIS: Integrated Land and Water Information System
For more than 25 year, ILWIS has been used from GIS enthusiasts. Actually, since its first release it has over 27,000 downloads. But it wasn’t until recently that it has become available for public use.
It is equipped with stereoscopy and anaglyph tools to create stereo pairs from two aerial photographs. Alternatively, if you have satellite data, ILWIS has image classification techniques to create land cover classes.
ILWIS was originally built for researchers and students. For this reason, effort was concentrated on developing a user-friendly environment.
READ MORE:ILWIS – Integrated Land and Water Information Management
11 gvSIG
gvSIG is known for its wide variety of rich features. And this applies to its remote sensing capabilities too. For example, users can perform supervised classification, band algebra and decision trees.
On top of that, gvSIG software delivers a more diverse range of tools like Tassled Cap which is ideal for monitoring vegetation health/vigor and urban growth. Further to this, the vegetation indices toolbar analyzes chlorophyll and plant health, if you have multispectral data.
READ MORE:gvSIG Software Review: Desktop, 3D and Mobile GIS
12 Whitebox GAT
There’s a hydrology theme that surrounds Whitebox GAT because it actually replaced Terrain Analysis System (TAS) – an Esri tool for hydro-geomorphic applications.
Where it shines is LIDAR! It’s like the swiss-army knife of LiDAR data with even a tool that can convert it to shape file. Although the cartographic tools are bare, overall Whitebox GAT has a solid 410 tools for all your GIS needs.
13 E-foto
E-foto is the digital photogrammetry specialist in the group of open source remote sensing software. The core functionality is photo triangulation, stereoscopic modeling, digital elevation model extraction and terrain correction.
This software provides a fully functional photogrammetry tool set to use at no cost. E-foto has loads of tutorials and examples to get you well on your way to being a photogrammetry expert.
What is your remote sensing project?
This open source remote sensing software list fills a wide range of disciplines like photogrammetry, OBIA, LiDAR, SAR and more.
While some companies spend thousands of dollars on remote sensing software, just remember that you might be able to do it all in open source.
GIS and remote sensing software are both part of what some people call the “open source movement“.
And this collection of 10 free open source remote sensing software packages helps you pack some serious punch as if it was commercial software.
A dynamic and effective tool for data analysis and presentation.
Introduction to Radar Chart
Radar chart is a frequently used method for comprehensive evaluation, particularly useful for holistic and overall assessment through multivariate data. Its advantages lie in vivid visualization and ease of use. Through comparison and analysis, people can figure out their current situation: improving or falling behind. For those time-crunched managers, they can understand the situation at a glance. Generally speaking, there are 3 types of results in data analysis through Radar charts.
Benefits of Radar Charts for Data Analysis
- Vivid and visual description.
- Realization of dynamic analysis.
- Scientific depiction of industrial development track.
- Effective mastery of dynamic data for relevant department.
- Easy application and promotion, making the assessment concise, intuitive and fast, which will encourage people to pursue progress and excellence.
Data Analysis through Radar Chart: Example
For example, we can compare students' test scores with the average score on subjects such as math, computer science, and biology. A radar chart has multiple axes along which data can be plotted. Each axis is a category. The data is shown as points on the axis. The points belonging to one data series can be joined or area so enclosed is filled. A point closer to the center on an axis indicates a lower value and vice versa. In some applications, low values may be more desirable than high values, e.g. price/earning, price/sales, price/book of stocks.
From the above radar chart example, we can figure out the following information:
- Class 1 is excellent in computer science and didn't do well in Chemistry scoring only 68 points, the lowest among all subjects.
- Lucy excels in study with all subjects above the average.
- Tom should pay more attention to study since most of his scores are below the average. His strength is computer science in which he scores high and much higher than average.
Radar Chart Software
You can draw a radar chart manually which is complex and time-consuming. Or you can let Edraw help you crack the hard-nut for you. It offers many pre-formatted templates so that users just need to make some modifications before use. Edraw doesn't require any drawing skill at all with the drag and drop interface. Try it now to gain beautiful radar charts like the above presented ones. You can gain vector predefined radar chart symbols and video tutorial about how to use it.
Steps to Make Radar Charts
In Edraw, only a few simple steps are needed to make a professional and intuitive radar chart. To be creative and make it understandable, Edraw has prepared a flowchart to show the steps to make radar chart at a glance.
To get detailed help, please go to this link: how to edit spider charts.
Mathcad Radar System Analysis Software
You can also get things done quickly by leveraging the spider chart templates.
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For more data analysis solutions, refer to Charts and Graphs Solutions.
Radar Performance Analysis Software
Spider Web Chart - a dynamic tool for data analysis>