Remote Sensing Introduction
- Description
- Curriculum
- FAQ
- Reviews
Remote Sensing (RS) contains a set of remote capture techniques and information analysis that allows us to know the territory without being present. The abundance of Earth observation data allows us to address many urgent environmental, geographical and geological issues.
Students will have a solid understanding of the physical principles of Remote Sensing, including the concepts of electromagnetic radiation (EM), and will also explore in detail the interaction of EM radiation with the atmosphere, water, vegetation, minerals and other types. of land from a remote sensing perspective. We will review several fields where Remote Sensing can be used, including agriculture, geology, mining, hydrology, forestry, the environment and many more.
This course guides you to learn and implement data analysis in Remote Sensing and improve your geospatial analysis skills.
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41Lecture 41: ClasificaciĆ³n de imĆ”genes de satelite
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42Lecture 42: Clasificaciones no supervisadas-----------------
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43Interpret and optimize unsupervised classification
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44Supervised Classification Configuration and Training Areas
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45Supervised Classification - Spectral Signature Chart
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46Supervised Classification - Previous Classification
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47Supervised Classification - Optimizing the spectral signatures
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48Supervised Classification - Minimum distance, Spectral Angle, Maximum Probable
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49Supervised Classification - optimizing threshold algorithms
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50Supervised Classification - Result with Mask
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51Classification Accuracy
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52Determination of classification accuracy
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53Identification of ceilings with Segmentation
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