Dr. Manohar Yadav
Assistant Professor
GIS Cell
Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India-211004
E-mail: ssmyadav[at]mnnit[dot]ac[dot]in
Telephone: +91-532-227-1344(O) +91-9559753727(M)
Research Publications
Book Chapter:
Yadav, M., Rengma, N. S., 2024. Trends in Multispectral Data Analysis. Advances in Remote Sensing and GIS edited by B. K. Mohan, Indira Gandhi National Open University School of Sciences (IGNOU), pp. 11- 32. Yadav, M., Verma, M. K., 2024. Trends in Hyperspectral Data Analysis. Advances in Remote Sensing and GIS edited by B. K. Mohan, Indira Gandhi National Open University School of Sciences (IGNOU), pp. 33- 52.Yadav, M., 2024. Trends in LIDAR Data Analysis. Advances in Remote Sensing and GIS edited by B. K. Mohan, Indira Gandhi National Open University School of Sciences (IGNOU), pp. 53- 74.Yadav, M., Shailja, 2024. Expert Systems. Advances in Remote Sensing and GIS edited by B. K. Mohan, Indira Gandhi National Open University School of Sciences (IGNOU), pp. 101- 120.
Journals:
Yadav, M., Goel, S., Singh, A. K., Lohani, B., 2014. Developing Basic Design and Mathematical Framework for a Mobile Mapping System—a Case Study Using Available Sensors. Journal of Indian Society of Remote Sensing 42(2), 301–310. [SCIE, IF- 2.2]
[Received best paper publication award of a year]
Yadav, M., Lohani, B., Singh, A. K., Husain, A., 2016. Identification of pole-like structures from mobile LiDAR data of complex road environment. International Journal of Remote Sensing 37(20), 4748-4777. [SCI, IF- 3.531(Q2)] Yadav, M., Singh, A. K., Lohani, B., 2017. Extraction of road surface from mobile LiDAR data of complex road environment. International Journal of Remote Sensing 38(16), 4645-4672. [SCI, IF- 3.531(Q2)] Yadav, M., Chousalkar, C.G., 2017. Extraction of power lines using mobile LiDAR data of roadway environment. Remote Sensing Applications: Society and Environment 8, 258-265. [Q1, IF – 3.8]Yadav, M., Singh, A. K., 2018. Rural Road Surface Extraction Using Mobile LiDAR Point Cloud Data. Journal of Indian Society of Remote Sensing 46(4), 531–538. [SCIE, IF- 2.2]Yadav, M., Singh, A. K., Lohani, B., 2018. Computation of road geometry parameters using mobile LiDAR system. Remote Sensing Applications: Society and Environment 10, 18-23. [Q1, IF – 3.8]Kumar, B., Yadav, M., Lohani, B., Singh, A. K., 2018. A two-stage algorithm for ground filtering of airborne laser scanning data. International Journal of Remote Sensing 39(20), 6757-6783. [SCI, IF- 3.531(Q2)]
[Second best algorithm till date for ALS data ground filtering in terms of filtering accuracy] Yadav, M., Lohani, B., 2020. Identification of trees and their trunks from mobile laser scanning data of roadway scenes. International Journal of Remote Sensing 41(4), 1233-1258. [SCI, IF- 3.531(Q2)] Yadav, M., Khan, P., Singh, A. K., Lohani, B., 2021. An automatic hybrid method for ground filtering in mobile laser scanning data of various types of roadway environments. Automation in Construction 126, 103681 (1-17) [SCI, IF-10.517 (Q1), 2nd ranked Journal out of 136 SCI/SCIE-indexed Journals in Civil Engineering]Yadav, M., 2021. A multi-constraint combined method for road extraction from airborne laser scanning data. Measurement 186, 110077 (1-14) [SCIE, IF - 5.131(Q1)]Yadav, M., Khan, P., Singh, A. K., 2022. Identification of pole-like objects from mobile laser scanning data of urban roadway scene. Remote Sensing Applications: Society and Environment 26, 100765 (1-11) [Q1, IF – 3.8]Yadav, M., Lohani, B., Goel, S., 2022. Geometric and radiometric constraints-based extraction of urban road manhole covers and their maintenance-related information using mobile laser scanning data. Geocarto International (online published) https://doi.org/10.1080/10106049. 2022.2115151 [SCIE, IF - 3.45(Q2)]Rengma, N. S., Yadav, M., Kalambukattu, J. G., Kumar, S., 2023. Machine learning-based digital mapping of soil organic carbon and texture in the mid-Himalayan terrain. Environmental Monitoring and Assessment 195, 994 [Q3, IF – 2.9]Rengma, N. S., Yadav, M., Kishor, N., 2023. Solar photovoltaic water pumping system: A software tool development-based optimal configuration investigation for system installation location, sizing and deployment. Renewable Energy Focus 46, 236-255. [Q1, IF – 4.2]Singh, D. P., Yadav, M., 2023. 3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data. Measurement 221, 113465 (1-18) [Q1, IF – 5.2, ranked 9th out of 141 Journals in category: Instrumentation]Singh, D. P., Yadav, M., 2024. Deep learning-based semantic segmentation of three-dimensional point cloud: A comprehensive review. International Journal of Remote Sensing 45(2), 532-586. [Q2, IF- 3.0]Rengma, N. S., Yadav, M., 2024. Generation and classification of patch based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models. Environmental Monitoring and Assessment 196, 568 (1-22) [Q3, IF – 2.9]Rengma, N. S., Yadav, M., 2024. Machine learning-based estimation of land surface temperature variability over a large region: a temporally consistent approach using single-day satellite imagery. Environmental Monitoring and Assessment 196, 738 (1-22) [Q3, IF – 2.9]Verma, M. K., Yadav, M., 2024. Estimation of plants morphological parameters using terrestrial laser scanning-based three-dimensional point cloud data. Remote Sensing Applications: Society and Environment 33, 101137 (1-17) [Q1, IF – 3.8]
Conference Proceedings:
Yadav, M., Husain, A., Singh, A. K., Lohani, B., 2015. Pole-shaped object detection using mobile LiDAR data in rural road environments. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5, 11-16.Yadav, M., Singh, A. K., Lohani, B., 2018. Extraction of ground surface along roadway from mobile LiDAR data. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5, 103-107. Yadav, M., Lohani, B., Singh, A. K., 2018. Road surface detection from mobile LiDAR data. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5, 95-101.Yadav, M., Khan, P., Singh, A. K., Lohani, B., 2018. Generating GIS database of street trees using mobile LiDAR data. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5, 233-237.Upadhayay, S., Yadav, M., Singh, D. P., 2018. Road network mapping using airborne LiDAR data. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5, 707-711.Goel, S., Yadav, M., Singh, A. K., Lohani, B., 2012. Development of land based mobile mapping system. In Proceedings of XXXII INCA International Congress, Dehradun, October 11–13. Yadav, M., Khan, A., 2016. Automatic Road Detection using Satellite Images. In Proceedings of International Conference on Recent Trends in Engineering and Technology (RTET- 2016), Pattaya, December 14–16. https://doi.org/10.15242/DIRPUB. DIR1216006Yadav, M., Singh, A. K., Lohani, B., 2016. Road Geometry Parameters Computation using Mobile Terrestrial Laser Scanning. In Proceedings of Transportation Planning and Implementation Methodologies for Developing Countries (12th TPMDC), IIT Bombay, December 19–21. Rengma, N. S., Yadav, M., 2021. Rainfall Mapping using Machine Learning Algorithm. In proceedings of IEEE India Geoscience and Remote Sensing Symposium 2021, Ahmedabad, December 6–10. Rengma, N. S., Yadav, M., 2023. A generic machine learning-based framework for predictive modeling of land surface temperature. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W2-2022, 95–102.Verma, M.K., Yadav, M., 2023. Registration, georeferencing and processing of multiple laser scans acquired by terrestrial laser scanner for estimating tree morphological parameters. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022, 737–742.Verma, M. K., Yadav, M., 2023. Survey planning for documentation of a monument for the understanding, preservation and restoration. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-2-2023, 1607–1612. Shailja, Dwivedi, R., Yadav, M., 2023. Building detection in aerial images using fusion of U-Net and ResNet architectures. In proceedings of IEEE the 14th International conference on computing, communication and networking technologies (ICCCNT), IIT – Delhi, July 6-8. Verma, M. K., & Yadav, M., 2023. Navigating the Agricultural Fields: Affordable GNSS and IMU-based System and Data Fusion for Automatic Agricultural Vehicle’s Navigation. In Proceedings of the 6th International Conference on VLSI, Communication and Signal Processing, Prayagraj, India, pp. 12-14.Verma, M. K. and Yadav, M, 2023. TLS, GNSS and TS Survey Planning for Precision Agricultural Applications. In 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) Bangalore, India, December 10-13, pp. 1-4. DOI: 10.1109/InGARSS59135.2023.10490437.Singh, D. P., Yadav, M., 2023. Building and Vegetation Classification from Airborne Laser Scanning Point Cloud. In proceedings of IEEE 7th Conference on Information and Communication Technology (CICT-2023), Jabalpur, India, December 15–17, pp. 1-4. DOI: 10.1109/CICT59886.2023.10455525.Verma, M. K. and Yadav, M, 2024. Automated Plant Species Identification Using 3D LiDAR Point Clouds: A Case Study Using Cabbage and Maize Plants. In International Conference of Environmental Remote Sensing and GIS, Zagreb, Croatia, July 11-12, pp. 161-164. doi: 10.5281/zenodo.11555370.Singh, D. P., Yadav, M., 2024. Suitable landing site selection for unmanned aerial vehicles using airborne laser scanning point cloud. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W9-2024, 343- 348. https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-343-2024