Video Tutorials:
thematic processing

Lesson on thematic processing of remote sensing data acquired from Santinel-2 satellite in Image Media Center software.

For this work 2 images were taken from the open source Earth Explorer (current and archive), and further these images were opened in the program through the image passport. After that, thematic processing was done to find the NDWI index, and then the obtained results of index images were converted into vector layers, and as a result water class was identified. Then the results of 2 images with the obtained vector layers of water were compared with each other. At the end of the work, all the data were entered into the attribute table.

Lesson on thematic processing of remote sensing data in Image Media Center software. The course of work is presented in the form of the following stages:

• opening the image passport;
• loading the MO boundaries in shp format;
• image cropping along the vector boundary of the MO map;
• class extraction (creation of standards);
• Classification by the shortest distance method;
• working with attributive information.

Lesson on organizing the workspace before recording a macro in Image Media Center software

Part 2 of the lesson on Creating a macro on Classifying objects on the ground.

Lesson on thematic processing - Monitoring of vegetation cover changes on the example of multi-temporal images of Moscow and Moscow region from Landsat 8 satellite and analysis of such work stages as:

• opening passports for 2 images;
• atmospheric correction;
• work with non-informative fields;
• thematic processing (finding vegetation index for vegetation);
• comparison of 2 index layers;
• work with the «select color range» tool;
• conversion of vector layer into marks;
• working with attributive information;
• sorting of small objects using SQL query;
• saving the obtained results.

Lesson on working with macros in Image Media Center software on the example of Moscow and Moscow Region of Landsat 8 image. Detailed description of the stages of work performed by macro in automatic mode with automatic creation of report and temperature map.

Lesson on construction and comparative analysis on the basis of 10 temperature maps related to the territory of Moscow and Moscow Region using a ready-made macro in Image Media Center software.

Lesson on thematic processing - Monitoring of vegetation cover changes on the example of multi-temporal images of Moscow and Moscow region from Landsat 8 satellite and analysis of such work stages as:

• opening passports for 2 images;
• atmospheric correction;
• work with non-informative fields;
• thematic processing (finding vegetation index for vegetation);
• comparison of 2 index layers;
• work with the «select color range» tool;
• conversion of vector layer into marks;
• working with attributive information;
• sorting of small objects using SQL query;
• saving the obtained results.

Lesson on thematic processing of multi-temporal images from Sentinel-2 satellite on the example of the territory of the Republic of Belarus in Image Media Center software

• opening image passports;
• creating a channel using vegetation index formula for 2 images;
• finding the difference of 2 index layers;
• loading shp file with forest boundaries;
• finding point values in «Pixel Correction»;
• working in «Color series» with the number of classes;
• vectorization of the obtained layers;
• working with attributive information;
• sorting of small objects with the help of SQL-query;
• ordering of the remaining values;
• selecting the style of the obtained polygons.

A review lesson on improving the quality of Kanopus-V images, including:

• ototransformation;
• georeferencing;
• compositing;
• pan-sharpening.

Lesson on thematic processing of Landsat-8 satellite image, where 2 ways of ice extraction are considered: by formula and by ready algorithm.

The work consists of such stages as:

• opening the image passport;
• creating a vector layer with image boundaries and loading a vector map of seas;
• spatial analysis;
• creation of vector sea boundary;
• image editing using histogram;
• creating snow index (to detect snow on the Earth surface);
• finding necessary values in the «Pixel Correction» table;
• dividing the image into classes using «Color Series»;
• vectorization of the obtained layers;
• working with attributive information.

Overview of the Cataloging module in Image Media Center software, which is designed to store and manage large amounts of data. This lesson describes the process of creating a working file, adding routes and route database. As well as working with attributive information.

Since the original routes may differ in color, georeferencing, and linear resolution on the ground. This tool allows you to refine the georeferencing for all routes, perform color correction, and draw the boundary between routes so that it is invisible.

In this tutorial you will see an example of creating a seamless mosaic from several images from Landsat-8 spacecraft.

Overview of georeferencing ( geocoding ) function in Image Media Center PC. This video lesson will cover such steps as:

• opening Kanopus-V image;
• connecting Google maps;
• adding Sentinel image;
• opening and working in the geocoding table;
• overview of the «Automatic correlator» function for raster images;
• manual set of reference points using image and Google maps;
• geocoding breakdown

For complex evaluation of thematic processing results IMC implements the possibility to generate reports, which can contain: images, thematic maps, legend, graphs, diagrams, etc.

In this lesson all information on their creation and editing will be displayed.

Creating a macro to optimize the operation of the Cataloging function in the Imsge Media Center PC consists of:

• opening files in tiff format;
• opening the «Operations» panel;
• creating a macro (variables, attributive information, opening a snapshot, opening a shp file)
• saving the macro
• checking the created macro;
• loading the results into Cataloging.

In this lesson we will consider a variant of manual processing of radar images of such input data as from Sentinel-1 satellite in Image Media Center:

• opening a radar image via the Radar menu;
• range of pixel values;
• cropping;
• Google maps connection;
• noise removal;
• geocoding (georeferencing);
• image classification by the shortest distance method

In this lesson we will consider Preliminary and Thematic processing for Landsat-8 image. And also work with vector data, which includes:

• opening the image passport;
• atmospheric correction;
• cropping;
• creating a new channel;
• vegetation index search;
• color series;
• vectorization of obtained layers;
• loading additional vector layers;
• selection of style for each polygon.

Overview of the Spectral Analysis function in Image Media Center software on the example of Sentinel-2 satellite image. The work will follow the following steps:

• image passport opening;
• spectral analysis;
• obtaining spectral plots;
• color range extraction;
• conversion to vector;
• saving and opening the obtained standards.

Opening, processing of FY-3D satellite image and thermal points search in Image Media Center PC includes:

• opening the HDF file;
• obtaining a spectral slice;
• material processing (obtaining fire products);
• obtaining raster image with butterfly effect;
• removal of geometric distortions;
• geometric correction (obtaining synthetic image);
• search for thermal points;
• geotransformation;
• viewing information on thermal points in the attributes table.

Estimation of linear resolution (optics) in Image Media Center PC on the example of Kanopus-V image:

• to open the image passport;
• adjusting the range of pixel values;
• cropping;
• quality assessment (creating a layer with test objects, finding a sharp edge);
• deleting rejected test objects;
• alternative sharp edge detection in manual mode;
• viewing and saving the report.

Overview of thematic processing of remote sensing data in Image Media Center PC consisting of:

• opening the image passport;
• adjusting the image brightness;
• image cropping;
• editing image size;
• texture analysis (creating, comparing and saving texture standards);
• pixel correction;
• noise removal;
• vectorization;
• color grading;
• document saving.

Lesson on thematic processing (ice classification) on Sentinel 1 radar image in Image Media Center PC

A detailed lesson on finding ships on a radar image using Sentinel-1 image as an example.