reference-cover

Earlier we have written about assessing classification accuracy. The post dealt with creating confusion matrix. But the topic is not resolved with that as it has some more interesting points. While assessing the accuracy of automated classification results one has to answer these two questions: which assessment method should be selected? where and how to […]

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amber-cover

Ukraine is rich in natural resources. However, such richness often bears to the nation not the prosperity but new problems – social, political, and environmental. One of the brightest examples is so-called “amber fever” that flushed out in Ukraine recently. Rising prices for amber in the world market after 2010 accompanied with a long-term deepening […]

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Lidar_PointCloud

Laser scanning systems have long been used successfully for mapping and monitoring of the environment. The range of application of the system is very wide – from the construction of 3D models, mapping of coastline, forecasting landslides and floods, studying the habitats of animals, to assessing the effects of various environmental impacts. Lidar (from the […]

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Beaver-studies

Under conditions of climate change, degradation of transformed aquatic ecosystems and reduction of biodiversity many international scientists focus their attention on beavers. Why? Because these animals are capable of miracles! The presence of beavers and the creation of beaver ponds increases the number of birds, amphibians, fish, preserves and purifies water, promotes the rise of […]

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rule-based-classification

While performing supervised classification it is possible to obtain, in addition to the classified map, the rule images of your classification. You can learn what they are, and how to view these images can in a previous post. This post is about how to improve the quality of the classification with the help of rule images. […]

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Planet-labs

Planet Labs is a startup created by former NASA employees. Planet is designing and manufacturing miniature remote sensing satellites called Doves. The constellation of Dove satellites provides a global coverage with images of 3-5 m resolution, part of the data is in open access. It proves that “the sky in the limit” saying not true […]

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rule-images-p1

The main result of supervised satellite image classification process is the classification map. But apart from it, you can still get another result – the rule image. In this post, we will look at what it is. When we perform supervised image classification, the software calculates a mathematical criterion (which depends on the classification algorithm) […]

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minimum-distance

We have already posted a material about supervised classification algorithms, it was dedicated to parallelepiped algorithm. Now we are going to look at another popular one – minimum distance. In contrast with the parallelepiped classification, it is used when the class brightness values overlap in the spectral feature space (more details about choosing the right […]

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GIScourses2017

We’ve prepared a list of upcoming free online courses in GIS, remote sensing and other useful things. Below you can also find the courses that can be taken anytime. Feel free to add more links in the comments!   Data Analysis and Interpretation Specialization Data Management and Visualization Data Analysis Tools Machine Learning for Data […]

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parallelepiped-classification

The previous post was dedicated to picking the right supervised classification method. And this time we will look at how to perform supervised classification in ENVI. We will take parallelepiped classification as an example as it is mathematically the easiest algorithm. In ENVI working with any other type of supervised classification is very similar to […]

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