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Planetary Geosciences

Remote Sensing techniques applicable to planetary geology; applications derived from interaction of electromagnetic radiation (X-ray, gamma-ray, visible, near-IR, mid-IR, radar) with geologic materials. Remote sensing applications formineralogy, petrology and geochemical analyses for terrestrial and extraterrestrial environments.

SolarSystem: major concepts, planets, satellites, asteroids, meteorites and comets; formation and internal differentiation of the planets; general features of Terrestrial and Jovian planets.

Planetary Atmospheres

Introduction to Planets and Planetary Systems- Orbital motion – Gravitational field that shape the Earth – Internal structure of planet and its satellite, Equation of state, Density profiles, MassRadius relationship, The origin and evolution solar system, planetary atmospheres, Elemental abundance, outgassing processes, capture processes, Erosion and escape processes, surface processes – condensation, Adsorption, dissolution, chemical weathering, Atmospheric feedbacks – Observed atmospheric changes in Earth and other planets.

Remote sensing and GIS for atmospheric science and ocean studies

State of the atmosphere; Main constituents of dry air, Vertical thermal structure of the atmosphere; Standard atmosphere; Hydrostatic equilibrium; Weather and its phenomena – Winds, cyclones, precipitation, hydrologic cycle; Surface weather and vertical structure;

Elements of radiative transfer in atmosphere- Basic quantities, Blackbody radiation – basic laws -  Radiative transfer equation, Physics of Gaseous absorption, emission, Scattering, Solar radiation and surface reflection; Radiation balance;

Remote sensing and GIS for environmental and natural resource management

Role of remote sensing in agriculture and soil– SpectralSignatures of vegetation and vegetation/soil indices - application in agriculture: Crop production forecasting, assessment and monitoring of crop growth, damage - Cropping Systems Analysis. Spectral signatures of soil – estimation of nutrient, soil moisture content - passive and active remote sensing methods National missions on agriculture and soil; production forecast (FASAL) Crop Identification Technology Assessment for Remote Sensing (CITARS) NBSS mapping.

Computer Vision and Advanced Image Processing

Image Formation Models, Monocular imaging system, Orthographic & Perspective Projection , Camera model and Camera calibration , 3D scanning, 3D from RGBD data, Binocular imaging systems Image Processing and Feature Extraction, point cloud processing, Triangulation and partitioning, range search, Structure from motion, Shape Representation and Segmentation , Deformable curves and surfaces , Snakes and active contours , Fourier and wavelet descriptors, , Multiresolution analysis (wavelets, curvelets, countourlets, shearlets ), Object recognition, Hough transforms and other simple object r

Quantitative Methods in Remote Sensing

Remote sensing data calibration, reflectance, radiance conversion, spectral reflectance and materials properties, deterministic methods, statistical, empirical methods, physically based methods, estimation of geophysical variables, forest growing stock, LST / SST, soil moisture, snow melt and runoff prediction, crop yield, rainfall,  ocean chlorophyll and productivity, validation and spatial scaling

Satellite based positioning and LiDAR Remote Sensing

Development of global surveying techniques, positioning and navigation with satellites, Reference systems: coordinate systems, time systems, satellite orbits: orbit description, orbit determination, orbit dissemination, satellite signalsGPS – reference systems, GPS services, GPS segments, GPS signal structure,  GLONASS - reference systems, GLONASS segments, GLONASS signal structure,  Galileo - reference systems, Galileo services, Galileo segments, Galileo signal structure, IRNSS - signals, services and segments, satellite based augmentation systems (SBAS) - GAGAN, WAAS, EGNOS, MSA

Advanced GIS

Data types and models – Input / output techniques in GIS (spatial and non-spatial) – editing –Topology – database structure – Spatial analysis of vector and raster data models – Network analysis, optimization of path, time and cost, routing and events, facility location, hydrological analysis –interpolation methods  – multidimensional (MD) data -  spatial representation of data -  object hierarchy -  MD  structure: k-d tree, Point quadtree  – construction and dynamic & kinetic data structure -  topology of 3D data – terrain data acquisition and input –

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