| Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite … C Kumar, S Chatterjee, T Oommen, A Guha International Journal of Applied Earth Observation and Geoinformation 86, 102006, 2020 | 105 | 2020 |
| Lithological discrimination and mapping using ASTER SWIR Data in the Udaipur area of Rajasthan, India C Kumar, A Shetty, S Raval, R Sharma, PKC Ray Procedia Earth and Planetary Science 11, 180-188, 2015 | 76 | 2015 |
| Mapping hydrothermal alteration minerals using high-resolution AVIRIS-NG hyperspectral data in the Hutti-Maski gold deposit area, India C Kumar, S Chatterjee, T Oommen International Journal of Remote Sensing 41 (2), 794-812, 2020 | 46 | 2020 |
| Multi-approach synergic investigation between land surface temperature and land-use land-cover P Saha, S Bandopadhyay, C Kumar, C Mitra Journal of Earth System Science 129, 1-21, 2020 | 32 | 2020 |
| Multi-stage corn yield prediction using high-resolution UAV multispectral data and machine learning models C Kumar, P Mubvumba, Y Huang, J Dhillon, K Reddy Agronomy 13 (5), 1277, 2023 | 23 | 2023 |
| Sub-pixel mineral mapping using EO-1 hyperion hyperspectral data C Kumar, A Shetty, S Raval, PK Champatiray, R Sharma The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014 | 23 | 2014 |
| An ensemble approach of feature selection and machine learning models for regional landslide susceptibility mapping in the arid mountainous terrain of Southern Peru C Kumar, G Walton, P Santi, C Luza Remote Sensing 15 (5), 1376, 2023 | 21 | 2023 |
| Fine-scale mapping of natural ecological communities using machine learning approaches P Bhatt, A Maclean, Y Dickinson, C Kumar Remote Sensing 14 (3), 563, 2022 | 16 | 2022 |
| Multi-sensor datasets-based optimal integration of spectral, textural, and morphological characteristics of rocks for lithological classification using machine learning models C Kumar, S Chatterjee, T Oommen, A Guha, A Mukherjee Geocarto International 37 (20), 6004-6032, 2022 | 14 | 2022 |
| New effective spectral matching measures for hyperspectral data analysis C Kumar, S Chatterjee, T Oommen, A Guha International Journal of Remote Sensing 42 (11), 4126-4156, 2021 | 13 | 2021 |
| Identification and characterization of hydrothermally altered minerals using surface and space-based reflectance spectroscopy, in parts of south-eastern Rajasthan, India SL Chattoraj, RU Sharma, C Kumar, PK Champati ray, V Sengar SN Applied Sciences 2, 1-9, 2020 | 3 | 2020 |
| Developing innovative spectral and machine learning methods for mineral and lithological classification using multi-sensor datasets C Kumar Michigan Technological University, 2020 | 3 | 2020 |
| Have COVID lockdowns really improved global air quality?–Hierarchical observations from the perspective of urban agglomerations using atmospheric reanalysis data RD Das, S Bandopadhyay, S Ghosh, M Das, M Chowdhury, ... Physics and Chemistry of the Earth, Parts A/B/C 132, 103452, 2023 | 1 | 2023 |
| Comparison of UAV and NAIP Multispectral Data for Corn Yield Prediction Using Explainable Machine Learning Models C Kumar, J Dhillon, Y Huang, R Sharma, K Reddy ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Machine Learning Algorithms for Yield Prediction of Corn and Soyabean: A Systematic Literature Review R Kumar, C Kumar, S Sharma, JS Dhillon ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Field-Scale Corn Yield Prediction Using UAV Multispectral Data and Explainable Machine Learning Models C Kumar, JS Dhillon, Y Huang, K Reddy ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Implementing Spectral and Textual Characteristics of Rocks for Improved Lithological Mapping using Machine Learning Algorithms C Kumar, S Chatterjee, T Oommen, A Guha AGU Fall Meeting Abstracts 2019, IN43A-09, 2019 | | 2019 |
| Detecting Hydrated Minerals in Libya Montes, Mars Using MRO CRISM Hyperspectral Data C Kumar, S Chatterjee, T Oommen, W Farrand 50th Annual Lunar and Planetary Science Conference, 2716, 2019 | | 2019 |
| The Area to Point Geostatistical Simulation-based Resolution Improvement of GRS Instrument Data of MARS Odyssey Orbiter S Chatterjee, C Kumar, T Oommen AGU Fall Meeting Abstracts 2018, EP23F-2393, 2018 | | 2018 |
| Hyperspectral based Mapping of Hydrothermal Altered Minerals using AVIRIS-NG Data and Machine Learning Algorithms in Hutti-Maski Gold Deposit Region, India C Kumar, S Chatterjee, T Oommen AGU Fall Meeting Abstracts 2018, GC13F-1094, 2018 | | 2018 |
Thomas OommenProfessor & Chair, Geology and Geological Engineering, University of Mississippi在 olemiss.edu 的电子邮件经过验证
