NOC:Remote Sensing Essentials


Lecture 1 - Rudiments of Remote Sensing and Advantages


Lecture 2 - Historical Perspective of development of remote sensing technology


Lecture 3 - EM spectrum, solar reflection and thermal emission


Lecture 4 - Interaction of EM radiation with atmosphere including atmospheric scattering, absorption and emission


Lecture 5 - Interaction mechanisms of EM radiation with ground, spectral response curves


Lecture 6 - Laws of Radiation and their relevance in Remote Sensing


Lecture 7 - Basis of remote sensing image representation


Lecture 8 - Various Remote Sensing Platforms


Lecture 9 - Multi-spectral scanners and imaging devices


Lecture 10 - Significant characteristics of LANDSAT, SPOT, Sentinel sensors


Lecture 11 - Prominent characteristics of IRS, Cartosat, ResourceSat sensors


Lecture 12 - Unmanned Aerial Vehicle/Drone


Lecture 13 - Passive Microwave Remote Sensing


Lecture 14 - Image characteristics and different resolutions in Remote Sensing


Lecture 15 - Different techniques of Image acquisition


Lecture 16 - Importance of digital image processing


Lecture 17 - Digital Image Processing Software


Lecture 18 - Basic image enhancement techniques


Lecture 19 - Colour representations and transformtions


Lecture 20 - Image Histograms and statistics


Lecture 21 - Atmospheric errors and corrections


Lecture 22 - Geometric transformations/Geo-referencing Technique


Lecture 23 - Digital Image Processing Software Demonstration - 1


Lecture 24 - Image enhancement techniques - 1


Lecture 25 - Image enhancement techniques - 2


Lecture 26 - Digital Image Processing Software Demonstration - 2


Lecture 27 - Spatial Filtering Techniques, Band rationing and PCA


Lecture 28 - Frequency Doman Fourier Transformation


Lecture 29 - Digital Image Processing Software Demonstration - 3


Lecture 30 - Unsupervised image classification and density slicing techniques


Lecture 31 - Supervised image classification techniques and limitations


Lecture 32 - Digital Image Processing Software Demonstration - 4


Lecture 33 - LiDAR Technique and applications


Lecture 34 - Mosaicking, subsets, sub-sampling techniques and applications


Lecture 35 - False Topographic Phenomena and correction techniques - 1


Lecture 36 - False Topographic Phenomena and correction techniques - 2


Lecture 37 - High Spatial Resolution Satellite Images and limitations


Lecture 38 - Basic Image Compression techniques and different image file formats


Lecture 39 - Hyperspectral Remote Sensing


Lecture 40 - Digital Image vs Digital Photograph


Lecture 41 - NDVI and other indices


Lecture 42 - Active Microwave Remote Sensing - 1


Lecture 43 - Active Microwave Remote Sensing - 2


Lecture 44 - Radar Images interpretation and applications


Lecture 45 - SAR Interferometry (InSAR) Technique - 1


Lecture 46 - SAR Interferometry (InSAR) Technique - 2


Lecture 47 - Principles of image interpretation


Lecture 48 - Image interpretation of different geological landforms, rock types and structures


Lecture 49 - Remote Sensing of Moon and Mars


Lecture 50 - Google Earth and its Applications


Lecture 51 - Integrated applications of RS and GIS in groundwater studies - 1


Lecture 52 - Integrated applications of RS and GIS in groundwater studies - 2


Lecture 53 - Applications of Remote Sensing in Earthquake Studies - 1


Lecture 54 - Applications of Remote Sensing in Earthquake Studies - 2


Lecture 55 - Different sources of free satellite images


Lecture 56 - Limitations of Remote Sensing Techniques