Pre-Symposium Tutorials

There will be four pre-symposium tutorials during November 18-19, 2019 for training young professionals and students on the following themes:


ISG/ISRS 2019
November 20 - 22, 2019, Shillong, Meghalaya

National Symposium on Innovations in Geospatial Technology for Sustainable Development with special emphasis on NER

Pre-symposium tutorials on UAV Remote Sensing (November 18-19, 2019)

Unmanned Aerial Vehicle - UAV popularly known as drone, is an airborne system or an aircraft operated remotely by a human operator or autonomously by an onboard computer. There are two broad classes of UAVs - Fixed wing and Rotary UAVs. In recent years, with the rapid development of aviation, microelectronics, computer, navigation, communication, sensors, UAV remote sensing has been developed rapidly from researching stage to practical stage, widely applied in many fields. UAVs combined with remote sensing technology have been creating new vistas in global scenario to acquire the geospatial data on land resources and environment.

Compared with spaceborne remote sensing, UAV remote sensing has a feature of higher spatial and temporal resolution, and can also avoid the effect of cloud and shadow areas in hilly terrain; relative to airborne remote sensing, UAV remote sensing is much cheaper and safer. In addition, UAV remote sensing has such advantages as flexible, safe, and easy to operate etc. The imagery/ data obtained using UAV platforms can immensely support in many applications and some of the important application areas are vegetation structure mapping, land use dynamic monitoring, land supervision, monitoring and evaluation of flood disaster, meteorological disasters monitoring, inspection and prevention of geological disasters, earthquake disaster rescuing and evaluation, topographic mapping and cadastral surveying. Specifically in the NE region of our country with limited connectivity and difficult terrain condition, the local planning and developmental activities can be greatly improved by using UAV remote sensing technology. Major topics to be covered in the session are

  • 1. UAV principles & Components
  • 2. Flight planning, Navigation, Orientation and Sensing payloads & Ground Control Station
  • 3. UAV Remote Sensing: Data Acquisition & UAV data processing : 3D Point cloud, DEM & Orthophoto/3D reconstruction
  • 4. Challenges & Issues towards Big Data Analytics
  • 5. Understanding UAV data processing using Open Source tools and platform

Contact Details:
Shri Victor Saikhom, Coordinator, NESAC, Umiam
E-mail: victor.saikhom@nesac.gov.in / isgnsshillong2019@gmail.com
Contact No. : 0364-2308722 (O) / 0364-2570141 (Director’s Office)

Theme 2: SAR Data Processing and Applications
Coordinator: Shri C. Patnaik, SAC Ahmedabad


ISG/ISRS 2019
November 20 - 22, 2019, Shillong, Meghalaya

National Symposium on Innovations in Geospatial Technology for Sustainable Development with special emphasis on NER

Pre-symposium tutorials on Geospatial Data Analysis using AI and Machine Learning (November 18-19, 2019)

Artificial Intelligence (AI) is changing the world very fast in all sectors of human activity. AI simulates the human intelligence in the machines and provides ample opportunities in improving decision making process. Deep Learning (DL) is the most advanced form of AI followed by Machine Learning (ML). Both ML and DL are at the frontier of current state-of-the art image processing data analytics landscape. The use of AI in the Government comes with significant benefits. It is now effectively utilized to public policy objectives. AI techniques are being applied in many fields ranging from Emergency services, Health care, Business Intelligence (BI), Sentimental Analysis (SA) including Data Analytics in Computational Research. ML and DL techniques are found extremely useful in extracting intrinsic information from the Big data to model the various real world problems. ML and DL techniques are now creating new vistas in the various areas of Earth Observation (EO) applications such as weather forecast, climate and land use changes, monitoring and responding to natural disasters, natural resources management etc. They are effectively employed on large volume of multi-temporal with multi-resolutions remotely sensed datasets captured by panchromatic, multispectral, hyperspectral, Microwave/LIDAR sensors. However, processing and analyzing of EO datasets demands sophisticated, powerful and robust computing resources. Selection of ML/DL algorithms, generation of training datasets, optimal configuration of train model in Big data platform, validation parameters etc. are important aspects which need to be considered while implementing such algorithms for operational services. With rapid growth of imaging technology (for space and aerial born sensors) in spectral and spatial domain as well as addition of Unmanned Aerial Vehicle (UAV), the data analytics is becoming more challenging. Keeping in view of above, tutorial session is organized to give an opportunity to researchers and academia on Geospatial Data Analysis using AI and Machine Learning for various EO applications. Major topics are be covered:-

  • 1. Artificial Intelligence and Machine Learning : Remote Sensing Perspective
  • 2. GeoData Analytics (Software & Tools) : Hands-on in Python environment
  • 3. Recent Advancement in Machine Learning and Deep Learning for EO Applications
  • 4. Challenges & Issues towards Big Data Analytics

Contact Details:
Dr. Dibyajyoti Chutia, Coordinator, NESAC, Umiam
d.chutia@nesac.gov.in
+91 9436100493



ISG/ISRS 2019
November 20 - 22, 2019, Shillong, Meghalaya

National Symposium on Innovations in Geospatial Technology for Sustainable Development with special emphasis on NER

Pre-symposium tutorials on Hyperspectral Remote Sensing (November 18-19, 2019)

Satellite Remote sensing has noticeably altered our perspective of the earth and vastly expanded our surrounding of land, ocean and, atmosphere. So far, most of the sensors have been multispectral systems having a few wavebands tailored for specific observational requirements. However, it is now well understood that more information about water land and atmospheres can be obtained from the full spectrum rather than from a few discrete wavebands. A major limitation of broadband remote sensing is that it uses average spectral information over broadband widths resulting in loss of critical information available in specific narrow band. In the 1970s, realization of the limitations of the multispectral approach when faced with the diversity and complexity of spectral signatures found on the surface of the Earth led to the concept of an imaging spectroscopy. The significance of hyperspectral remote sensing lies in its ability to acquire a complete reflectance spectrum for each pixel of an image thereby allowing precise identification of materials and its relative abundances
However, it took over two decades for the launch of operational space borne imaging spectrometer (Hyperion, EO-1 of NASA). Indian Space Research Organization built a hyperpsectral Imaging Sensor (HySI), which was a part of Indian Mini satellite-1 (IMS-1) and Chandrayaan -1 satellites. Field campaign of Airborne Very High Resolution Imaging Spectrometer- Next Generation, (AVIRIS-NG) in India under ISRO and NASA joint collaborative program has given an opportunity to the Indian remote sensing community to explore its potential applications in various thematic areas. Recently, ISRO’s hyperspectral satellite “HySIS” has been launched on November 29, 2018. The primary objectives of HySIS is to study earth’s surface in visible, NIR and SWIR regions of electromagnetic spectrum. Keeping in view above, tutorial session is planned to be organized to give an opportunity to researchers and academia and stake holders more on basics of Hyperspectral remote sensing and its applications. Major topics to be covered in the session are

  • 1. Imaging Spectroscopy: The Technology and Applications
  • 2. Imaging spectrometers at ground, airborne and satellite Platforms
  • 3. Hyperspectral Remote Sensing: Recent trends and Applications with Case study examples
  • 4. Processing of Hyperspectral Data and advance classifier
  • 5. Challenges, Issues and pathways

Contact Details:
Dr. Jonali Goswami, Coordinator, NESAC, Umiam
Mail: jonali.goswami@nesac.gov.in / isgnsshillong2019@gmail.com / director@nesac.gov.in
Contact No. : 0364-2308716 (O) / 0364-2570141 (Director’s Office)


Tutorial plan Theme 1