1- Remote Sensing Specialist Certificate.. RSS™

The Remote Sensing Specialist Certificate... RSS™ includes nine remote sensing and satellite image processing short courses-shown below. The first two short courses are introductory courses with no practical work. The following seven short courses are all practical courses. They are applied on real satellite images and a professional remote sensing software (ERDAS Imagine®). The sequence of the courses is ordered in a certain way that delivers remote sensing education simply and gradually, starting from the beginners level and progressing gradually until reaching the specialists level. In the specialist level, you will be able to produce a professional map with all its components such as a grid, scale bar, color key, north arrow, and others. Your map can represent any type of information such as agriculture, soil, environment, or just the name of the roads network and cities. In order to reach this level you will gradually learn how to deal with satellite image processing steps through learning the following: [How to decide the needs of your project and which satellite images are more suitable – How to purchase the needed satellite images and test their quality – How to perform Geometric Correction – How to make a professional visual interpretation for the satellite image features - How to make digitizing and annotation for these features - How to perform analysis for pixels' values – How to classify a satellite image into groups with similar data types (Agriculture, soil, water, urban areas, …) – How to gather all available information in a clear and professional map]. Reaching the Remote Sensing Specialist level and having the RSS™ certificate qualify you to progress to the next level which is the Remote Sensing Professional (RSP™). In the RSP™ level you will be able to perform more professional satellite image processing operations, such as [Mosaicing, Enhancement, Terrain Analysis, 3D simulation, and 3D analysis]. You can take the nine RSS™ courses -or some of them- for training purposes only without attending their online exams. But in order to get the RSS™ certificate, you should pass the nine exams related to the short courses no 1 to 9 -shown below. Additionally, you should perform all practical assignments related to courses no 3 to 9.

Courses included in this certificate

1 - Space Science and Satellites Overview for General Managers & Supervisors

This short course aims to introduce space science and satellites for those who will supervise, manage, or achieve by themselves any practical work or projects based on satellite images, remote sensing, or geographic information systems. The course explains a group of overview topics in a gradual sequence that matches the lifetime of a satellite from its start to its end. The topics are as follows: First, an introduction to satellites, why they were invented, how they fly in their orbits (from the Orbital Mechanics point of view), what their missions are, and their classification. Second, orbit design and its effect on the quality of satellite images through explaining orbit types, the relation between satellite orbits and its missions, the effect of an inaccurate orbit design, and how to design an orbit. Third, satellite system components - Ground Segment, Space Segment, and Launcher- satellite components and subsystems, how satellites are launched, and who can perform launching. Finally, the course explains topics related to satellite lifetime, such as when the lifetime ends, what perturbations are and their effect on life time, and how we get rid of satellites after their lifetime ends. Details

2 - Remote Sensing Fundamentals

This course represents a preparation phase for the practical remote sensing processes studied in all further courses. It focuses on understanding satellite images and presenting an introduction to remote sensing science fundamentals. It includes an explanation of many important topics, such as various usages and applications of satellite images, types of resolutions, understanding differences between various types of satellite images, data types produced from satellite images, deciding which type of satellite images is most suitable for your project, how to buy a satellite image. Additionally, it includes an explanation of electromagnetic spectrum, waves, frequencies, and a comparison in vision system between humans, animals, and satellite sensors. Finally, the course ends by introducing satellite image processing steps, which will be practically applied in details in the following set of courses. It teaches you how to select the needed image processing steps, and how to decide its suitable sequence according to the target of your project. Details

3 - Introduction to Practical Remote Sensing Using ERDAS Imagine

This course represents a shift from the introductory or preparation phase; taught in the previous two courses, to the practical phase in which you will start dealing with various types of real satellite images using a professional remote sensing software (ERDAS Imagine®). This course includes performing many basic and essential image processing functions on satellite images, such as opening various types of satellite data types, performing measurements for features in the satellite images, linking images, controlling the scale, changing various raster options, analyzing pixel values, using different tools for comparing satellite images, reading metadata, and dealing with various libraries of spectral profiles. Details

4 - Satellite Images Geometric Correction and Map Projection

In this course you will learn a quick overview for map projection terminologies and how to perform geometric correction for satellite images in different ways. In the first part of the course you will get an introduction for map projection covering important terminologies, such as Cartography, Geodesy, Geoid, Ellipsoid, Datum, Coordinate types, Projection types. In the second part of the course you will understand the process of geometric correction, how to select ground control points, resampling, performing geometric correction in different methods, performing orthorectification, and reprojection. Details

5 - Satellite Images Visual Interpretation

In this course you will learn how to recognize the contents of satellite images by performing visual interpretation and analysis for various civilian features and contents exist in these images. Visual interpretation will be learned through applying the visual interpretation elements on different features in satellite images. The interpretation elements which will be learned and applied are [shape, size, shadow, color, tone, texture, pattern, height and depth, site, situation, and association]. Details

6 - Satellite Images Digitizing and Annotation

In this course you will learn how to use different drawing tools for creating an annotation layer that overlays satellite images or maps. This layer is used to draw and emphasize various types of features, such as [roads, cities' names, rivers, railways, water areas, green areas, urban areas, and others]. This layer is considered one of the main steps for map production in most types of maps. You will also learn how to save information and description related to each drawn feature in the attribute table. In addition, you will learn an introduction to dealing with vector layers, and how to create a shape file "in shp format" in order to draw and represent features in the form of points, lines, and polygons. Moreover, you will learn how to gather information regarding the important features from external resources such as Google Earth and Open Street Maps by linking them with ERDAS Imagine. Details

7 - Satellite Images Classification Essential

Multispectral classification is the process of sorting pixels into a finite number of individual classes, or categories of data, based on their data file values. If a pixel satisfies a certain set of criteria, the pixel is assigned to the class that corresponds to that criteria. An example of a classified image is a land cover map, showing vegetation, bare land, pasture, urban, etc. In this short course you will learn satellite images classification definition, its importance, and its types. Also, you will learn with more focus unsupervised classification and its related topics. During the course you will perform various unsupervised classification processes on a satellite image. After classifying a satellite image to a group of related classes, you will learn how to rename each class with the name of its real feature, and recolor it with suitable color, and finally, how to record all data associated with each class in the attribute table. The Classification process is essential in producing different types of maps, such as [geological, agricultural, soil, and others]. Details

8 - Satellite Images Classification (Advanced) + Image Differencing

In this course you will learn how to perform supervised classification for features of interest in satellite images and many related topics, such as understanding supervised classification, signature editor, extracting and evaluating signatures, creating a signature library, and performing supervised classification. Additionally, the course also covers the process of Image Differening, which compares two images captured in different dates to discover new features that has been established, and other features that has been removed. This process is used for several applications such as monitoring changes of urban development, and changes in agricultural or coastal areas. Details

9 - Map Production From Satellite Images

In this course you will learn how to produce a real professional map, including satellite image, grid, scale bar, legend, north arrow, and others. Details

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