News 04-07-2022

Ten Days Online FDP on Advanced Remote Sensing and Machine Learning for

Environmental Sustainability

Session XVI : Application of Earth Observation data in Landslide hazard mapping, monitoring, simulation and modelling in parts of the Himalaya - Dr. Shovan lal Chattoraj, Scientist SF, Indian Institute of Remote Sensing – ISRO, Government of India

Highlights of the Session - XVI

The causes and cues for the problem of landslide and the approaches to deal with landslides like mapping, modelling, monitoring, LSZ, rainfall threshold model, landslide early warning system (LEWS), process based physical modelling, etc. were discussed in detail.
The background of landslides in Uttrakhand / Himachal Himalaya and its scientific rationale were explained with the examples of landslides in Garhwal, Kumaon and Himachal Pradesh were given an insight.
The various types of landslides, its causes and effects were showcased. Basics of hazards, disasters, vulnerability, susceptibility, risk, risk assessment, mitigation, etc. were explained in brief.
The concepts for understanding landslides at various stages such as inventory, vulnerability, susceptibility, risk and modelling were discussed with examples of Resourcesat-2 LISS IV FCC image of landslide area of September 12 th , 2014 (band combination: RGB 321) and landslide hazard zonation map of Kedarnath.
The materials required for various thematic layers like landslide inventory, susceptibility mapping, vulnerability mapping, debris flow run out modelling and its sources were narrated.
The methodology for landslide inventory, susceptibility mapping and risk analysis using satellite imageries such as GeoEye-1, Cartosat-1, LIISS-4 ;Digital Elevation model using Cartosat DEM and visual interpretation using GeoEye-1, Cartosat-1 were explained in detail. Examples like landslide around Ukhimath, vulnerability map of Ukhimath landslide 2012 satellite based study for building damage and agricultural field damage were explained with appropriate images.
Thematic layers used for susceptibility mapping such as geomorphology, stream distance, fault distance, lineament distance, etc. were explained.
The vulnerability maps, susceptibility maps and risk maps with showing various classes like very low,low, moderate, high and very high were explained with suitable examples.
The reasons for modelling debris flow, objectives of such studies, validation of those models were described. Numerical simulation for debris flow run out modelling, inputs given for the model debris flow modelling using friction and the output obtained from the model were displayed.
Some of the case studies namely debris flow simulation and modeling for Ukhimath and Uttarkhand, Baliyanala, Nainital landslide using DEM from Alos PALSAR and UAV; Malin , Maharashtra landslide,2014; lideslide of Tagni, Uttrakhand and Urni, Himachal Pradesh using DEM from Alos PALSAR were discussed. The conclusions arrive the end of modelling, limitations were also discussed.

Session XVII : Air pollution and atmospheric studies using remote sensing data - Dr.Mehul R Pandya, Scientist SG, Space Application Centre – ISRO, Government of India

Highlights of the Session - XVII

Key facts about air pollution were discussed in detail. Air pollution monitoring using ground measurements, mathematical models and satellite observations was given an insight.
The uniqueness of satellite observation from space and the reasons for using satellite observations were explained. Different satellites for air quality such as INSAt-3d, OCM-2 for aerosol, water vapor; OMI- MLS-TES/Aura for ozone, NO 2 , SO 2 , CO; Sentinel-5P/Tropomi for ozone, CO, NO 2 , SO 2 and MOPITT/Terra for CO were listed out.
Components of remote sensing and applications such as image processing and modelling; data product generation, data reception, acquisition of data from space, etc. were narrated.
The case studies of COVID -19 lockdown: positive consequences for air quality, improved air quality during lockdown for New Delhi’s skyline, uncommon views of Mumbai in lockdown due to reduction in pollution, increase in visibility due to reduction in air pollution , etc. were explained in detail.
Satellite observations of NO 2 is explained with the examples of satellite data from TROPOMI sensors, 3D maps showing significant reduction of NO 2 emission during lockdown , comparison of India level NO 2 during lockdown with previous year.
Basics of retrieval of trace gas using satellite data and satellite observations of aerosols involving Aerosol optical depth, Reduction of AOD during COVID-19 lockdown using INSAT-3D;satellite observations of ozone, discovery of ozone holes ,ground level ozone formation were explained in detail.
Satellite observations for SO 2 was explained with the examples of SO 2 studies before and after lockdown, Aura zone monitoring instrument (OMI), volcanic eruption case study of South Pacific Island-Hunga Tonga-Hunga Haapai, SO 2 over Taal volcano eruption ; satellite observation for NH 3 and CO were also described.

The causes and cues for the problem of landslide and the approaches to deal with landslides like mapping, modelling, monitoring, LSZ, rainfall threshold model, landslide early warning system (LEWS), process based physical modelling, etc. were discussed in detail.

The background of landslides in Uttrakhand / Himachal Himalaya and its scientific rationale were explained with the examples of landslides in Garhwal, Kumaon and Himachal Pradesh were given an insight.

The various types of landslides, its causes and effects were showcased. Basics of hazards, disasters, vulnerability, susceptibility, risk, risk assessment, mitigation, etc. were explained in brief.

The materials required for various thematic layers like landslide inventory, susceptibility mapping, vulnerability mapping, debris flow run out modelling and its sources were narrated.

Thematic layers used for susceptibility mapping such as geomorphology, stream distance, fault distance, lineament distance, etc. were explained.

The vulnerability maps, susceptibility maps and risk maps with showing various classes like very low,low, moderate, high and very high were explained with suitable examples.

The reasons for modelling debris flow, objectives of such studies, validation of those models were described. Numerical simulation for debris flow run out modelling, inputs given for the model debris flow modelling using friction and the output obtained from the model were displayed.

Key facts about air pollution were discussed in detail. Air pollution monitoring using ground measurements, mathematical models and satellite observations was given an insight.

Components of remote sensing and applications such as image processing and modelling; data product generation, data reception, acquisition of data from space, etc. were narrated.

Satellite observations of NO 2 is explained with the examples of satellite data from TROPOMI sensors, 3D maps showing significant reduction of NO 2 emission during lockdown , comparison of India level NO 2 during lockdown with previous year.

Basics of retrieval of trace gas using satellite data and satellite observations of aerosols involving Aerosol optical depth, Reduction of AOD during COVID-19 lockdown using INSAT-3D;satellite observations of ozone, discovery of ozone holes ,ground level ozone formation were explained in detail.