Studying the Oil Fields of Digboi in Margherita Circle: Geology and GIS

December 29, 2024

Digboi being one of the most important places all over the world in the context of Petroleum and Oil Industry. Digboi, located to the northwest of Margherita, is famous for having the oldest operational oil refinery in Asia, established in 1901. While Digboi thrives as an industrial and historical town due to its oil heritage, Margherita complements it with its natural resources, particularly coal and tea. The two towns share cultural and economic ties, as their industries and communities are interlinked.

In summary, Margherita’s geography is defined by its natural beauty, industrial significance, and its relationship with neighboring towns like Digboi. It offers a blend of scenic tranquility and economic vitality.

So, we will study the Oil and Petroleum aspects from the point of GIS mapping in Remote Sensing data.

Data Source

  1. USGS Earth Explorer Landsat 8 : The Satellite images of the area of Margherita obtained from the USGS Earth Explorer Landast-8 for both the year 2024.
  2. Copernicus Sentinel-2: The Satellite images of the area of Margherita obtained from the Copernius Sentinel 2 Multi-Spectral Imagery (MSI) L1A data for 2024. Sentinel-2 has a resolution of 10m (as Band 8) and 20m (as Band 5). Very high quality.
  3. Survey of India: The data of South-West Delhi Boundary is taken from Indian Boundary States, Districts and Sub-Districts Map from Survey of India.

Location Map of Margherita Tehsil in the Tinsukia District of Assam

Following are the Remote Sensing Indices calculated from the various Bands of Landsat data, Sentinal Copernicus Data.

All the following Data and Maps are processed in the Software ArcGIS.

The above Map of NDRE shows the RedEdge value of 700-750 nm, which represents the best of Chlorophyll region in Plants. It represents the very good vegetation.

This area has got a very high Land Surface Temperature ranging from 62 – 72 degree Celcius. It is pretty higher due to extreme Humid conditions.

Classification of the Land Surface Features of the Satellite Images using Supervised and Unsupervised Classification methodology:

Conclusion:

The present Portfolio demonstrated the various applications of Remote Sensing and Analysis pattern.
We have successfully carried out few important analysis of the Remote Sensing in the Margherita
Tehsil of Tinsukia District in Assam. The place is mainly very significant in terms of its vegetation content
and the Oil deposits.
We have analysed the area using the Landsat 8 Data and the Sentinel 2 Data and operated the steps in
ArcGIS mostly and parts in ERDAS. We have Classified the Land features of the area,, carried out the
Indices of the data using the various Remote Sensing Bands in our Software.
The data is then analysed for the vegetation content as NDVI data, water content as NDWI data and
climatic conditions as LST data.
Thus, this Portfolio is successfully completed with all the steps carried out in the Remote Sensing and
Analysing the place.