Prakash Chauhan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Prakash Chauhan has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Iswar Chandra Das
Geosciences Group, National Remote Sensing Centre, ISRO, Hyderabad, India
2 shared publications - Sreenivas Kandrika
Remote Sensing Application Area, National Remote Sensing Centre, ISRO, Hyderabad, India
2 shared publications - Binayak Mishra
National Remote Sensing Centre, ISRO, Hyderabad, India
1 shared publication - M. Manju Sarma
National Remote Sensing Center, Indian Space Research Organization, Hyderabad, India
1 shared publication M. Suresh Kumar
National Remote Sensing Centre, ISRO, Dept. of Space, Hyderabad, India
1 shared publication- Priyom Roy
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Hyderabad, India
1 shared publication
Latest Publications
- 18 April 2025
- Published by Springer Nature in Journal of the Indian Society of Remote Sensing
- Vol. 53 (10) , 3339-3352
South Lhonak Lake Disaster in Sikkim, India: Impact Analysis Using Optical Imagery, SBAS-InSAR and Numerical Simulation
- 18 April 2025
- Published by Springer Nature in Journal of the Indian Society of Remote Sensing
- Vol. 53 (10) , 3339-3352
South Lhonak Lake Disaster in Sikkim, India: Impact Analysis Using Optical Imagery, SBAS-InSAR and Numerical Simulation
- Open Access
- 7 November 2024
- Published by Copernicus GmbH in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Vol. XLVIII-3-2, 257-264
A Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors
More than decadal data is archived by the Indian remote sensing satellite Resourcesat-2 series of sensors. This data holds immense potential for long-term terrestrial monitoring. Harnessing its full potential requires systematic organization of all available observations, necessitating rigorous pre-processing efforts.Analysis Ready Data (ARD) products have streamlined the process of accessing and analyzing satellite imagery, fostering interoperability over time and across various datasets enabling a wide range of applications in environmental monitoring, disaster management, agriculture, urban planning, and scientific research. An optimized frame work is defined for Resourcesat-2/2A images to generate ARD products. The product package contains surface reflectance (SR) and top-of-atmosphere reflectance (TOA) along with pixel quality layer and Metadata file. This paper outlines the procedures undertaken, validation of the techniques and analysis of the obtained results. ARD products are validated for both absolute and relative terms with ground measurements and harmonized Landsat and Sentinel (HLS) data sets and the amount of agreement is around 90% and 95% respectively.
- 7 November 2024
- Published by Copernicus GmbH in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Vol. XLVIII-3-2, 257-264
Open AccessA Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors
More than decadal data is archived by the Indian remote sensing satellite Resourcesat-2 series of sensors. This data holds immense potential for long-term terrestrial monitoring. Harnessing its full potential requires systematic organization of all available observations, necessitating rigorous pre-processing efforts.Analysis Ready Data (ARD) products have streamlined the process of accessing and analyzing satellite imagery, fostering interoperability over time and across various datasets enabling a wide range of applications in environmental monitoring, disaster management, agriculture, urban planning, and scientific research. An optimized frame work is defined for Resourcesat-2/2A images to generate ARD products. The product package contains surface reflectance (SR) and top-of-atmosphere reflectance (TOA) along with pixel quality layer and Metadata file. This paper outlines the procedures undertaken, validation of the techniques and analysis of the obtained results. ARD products are validated for both absolute and relative terms with ground measurements and harmonized Landsat and Sentinel (HLS) data sets and the amount of agreement is around 90% and 95% respectively.