The ninth NESAC (North Eastern Space Application Centre, Dept. of Space Govt. of India) Society Meeting, chaired by Hon’ble Union Home Minister as President of the NESAC Society approved 110 projects for all eight States of North Eastern India. Out of this, 24 projects are approved for Assam state under Plan of Action (PoA) for utilisation of Space Inputs in Governance and Developmental Planning. These approved projects under PoA to be implemented in three years (i.e 2021-2024) time frame with funding support from NEC/MDONER/ISRO/NESAC as well as Assam Government. A total of 10 projects, out of the above 24 projects, have already been taken up by ASSAC with necessary financial support from Department of Science Technology and Climate Change, Govt. of Assam involving a total cost of Rs. 160.00 lakh. This 10 PoA Projects are:
Mapping of tea garden will be made using high-resolution satellite data such as LISS-IV, Cartosat 3S satellite data supported with field surveys. Digital Elevation Model (DEM) 10 m data, generated from Cartosat-1 satellite imagery will be used for extraction of physiographic parameters and long term climatic data of garden/IMD / satellite derived climate data will be harnessed for generating a spatial database of climatic parameters. Suitable areas for tea plantation will be delineated using Multi-Criteria Decision Making (MCDM) tools viz., Weighted Overlay Analysis (WOA). Unmanned aerial vehicles (UAV) will be deployed for detailed infrastructure mapping of selected tea garden.
Hyperspectral remote sensing is based on the examination of many contiguous narrowly defined spectral channels (Campbell, 1996) and has been found to be superior to conventional broadband remote sensing in spectral information. Hyperspectral (narrow band) indices have been shown to be crucial for providing additional information with significant improvements over broad bands, in characterizing, mapping and quantifying biophysical and biochemical parameters of agricultural crops. The reflectance and absorption features in narrow bands are related to specific crop characteristics such as biochemical composition (Haboudane et al., 2002), physical structure, water content (Champagne et al., 2003) and plant eco-physical status (Strachan et al., 2002).
The spectral library is a collection of reflectance from the target object recorded using radiometers. In order to utilize the full potential of hyperspectral data, spectral library is a prerequisite. Developing a spectral library keys to improve our capacity to utilize the full mapping potential from data provided by airborne and advanced space- borne hyperspectral images. Spectral library of important crops is a prerequisite for multiple crop acreage and production estimation. Once the spectral library is ready, it will help in quick and accurate estimate of the selected crops and assessment of crop health condition thereby helping better planning and management of agriculture in the state.
Integration of livestock time-series data on livestock in spatial domain in village and district level extent including the engagement charges of domain experts/NGOs/consultants for coordinating with the Department for understanding the requirements in ground level for design and development of DSS.
Integration of time-series climate, land use, drainages/wetlands, forest, roads etc. for hotspot and trend & vulnerability analysis with respect to the socioeconomic parameters. Development of DSS Dashboard Application for analyzing, planning and monitoring the African Swine Fever and other TADs with analytical tools including the Dashboard analytics integrated with livestock census data, villages near by forest/embankment on top of satellite. Development of Mobile Application for instant reporting on outbreak incidents and also to provide live proximity to free, epicentre/containment zones or farms/market places including the integration of Geofencing capability while entering into risk zones, routing for traders to avoid risky zones
At present all the maps of Directorate of Geology & Mining is in physical format. But in present day context, digital maps are more preferred which will help the Dept. for further enhancement, modification of the existing maps. The present scheme will be benefited to the concern department in terms of preserving the existing maps. The digital format of the maps will help the concerned department to edit, enhance, modify etc.
With the expansion of rich network of the department there is urgent need to geotag numerous Fair Price Shops (FPS), Gaon Panchayat level Samabai Samity (GPSS) and Godowns which is spread in Assam and to store data in one database for future planning, administrative control and expansion.
It will provide better visualisation of all FPS, GPSS and Godowns of entire Assam and jurisdiction layer in a map frame. The scheme will facilitate easy browsing of infrastructural data (spatial and attribute) of the department and will allow download facility for specific area of interest. It will help to build query of specific data to derive action plan as per users need. The scheme will help the civilians to locate or reach the concerned FPS, GPSS and Godowns without much difficulty
GAGAN GPS dongles will be used to collect location of all the police stations/outposts, jurisdiction in the study area. Some basic information along with location data will also be collected for better interpretation. Population data from recent census will be utilized. Digital Elevation Model (DEM) 10 m data, generated from Cartosat-1 satellite imagery will be used for extraction of physiographic parameters. All these parameters will be analyzed in the GIS environment to assess the spatial distribution and connectivity of these police stations/outposts, jurisdiction with respect to population density. A dashboard will also be developed for better visualization and understanding of common people to assess the facility.
To digitize the FIR index register there will be a provision of dashboard and data will be stored in PostgreSQL Server. Here geotagging of the crime incidents will have to be carried out. To capture latitude-longitude information of crime incident, satellite map services from Google may be utilized to mark the crime spot. For enhanced geocoding of crime location Premium Google Map Service will be integrated. The eFIR dashboard will facilitate hierarchy-based login with an array of capabilities such as data viewing, data download (format such as .pdf, csv, etc.) and overall statistics for a given police jurisdiction. The Edit Module will allow for modification of registered eFIR attributes to the Data Entry users. Fill Blank module will cater to querying out blank eFIR that was previously left out from digitization. The main Crime GIS Dashboard will facilitate visualisation and monitoring the crime incidents in spatial domain with capability of building query on different crime incidents based on multi-criteria filtering. Entire solution for the web application may be built using ARC GIS Enterprise software for better outcome which will be able tohandle huge database with multiple utilities.
For the geo-tagging part, physical visit to project locations followed by geo-tagging exercise via mobile application has to be undertaken. This will allow to store the geo-coordinates of respective project locations along with photographs of the same. Mapping and demarcation of project boundaries can be accomplished with the help of QGIS. Further extending the scope, a web map project with the same geo-database can be deployed for dissemination of vital information to general public.
Precision DGPS survey and establishment of the point on ground (through a concrete structure with a cross marker plate on top of the established point). The established point will be captured on high resolution satellite data in due course of time.
