Work in progress. The webinar on Hyperspectral Remote Sensing and its applications is being planned in Dec 2019 (delayed to Q4 2019)with the help of ISRO and DLR
The Webinar Series on Hyperspectral Remote Sensing and its Applications was held between November 6 and December 6, 2019.
The Webinar Series on Hyperspectral Remote Sensing and its Applications that was held between November 6 and December 6, 2019 sought to enable students to:
Understand the concept of Hyperspectral Remote Sensing and appreciate why calibration is critical and knowledge of approaches taken for the atmospheric
correction of hyperspectral data. Know about advantages of hyperspectral over optical remote sensing
Be able to understand the processing steps of hyperspectral data and availability of software’s.
Apply Hyperspectral remote sensing for Vegetation, Water resources and geological studies
The themes of the five webinars are listed as the following:
1. Overview of Hyperspectral Remote sensing (7th November 2019)
Hyperspectral remote sensing- concept, Physics, principles-imaging spectroscopy Multispectral vs hyperspectral, Imaging platforms and Modes ( airborne, ground based and space based), Historical and recent Hyperspectral airborne and space borne Mission, Ground based sensors, hyperspectral data preprocessing, Radiometric calibration Instructor: NASA/JPL/CNES/INPE/DLR
2. Information Extraction from Hyperspectral data/Hyperspectral data processing Algorithms (14th November 2019)
Data Dimensionality reduction techniques, endmember selection, spectral libraries,Hyperspectral Indices, overview of hyperspectral data classification approaches- Sam, SVM, Spectral un-mixing, spectral matching methods Instructor: ISRO
3. Hyperspectral Remote Sensing for vegetation Studies (21st November 2019)
Spectra of vegetation/ crop, spectral libraries of crop and vegetation, Hyperspectral vegetation Indices, species/community level detection and discrimination, Canopy chlorophyll estimation, Foliar nitrogen content estimation, vegetation stress detection- Case examples Instructor: NASA/JPL/CNES/INPE/DLR
4. Hyperspectral Remote Sensing for Geological Applications (28th November 2019)
Mineral spectra and their characteristic absorptions, mineral mapping, lithological mapping, hydro carbon exploration Instructors: ISRO
5. Hyperspectral Remote Sensing for Water resources (5th December 2019)
Spectra of Water, snow. Water quality, snow physical parameter retrieval, soil moisture Instructor: ISRO
A workshop report will be posted soon.