| Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery S Moharana, S Dutta ISPRS journal of photogrammetry and remote sensing 122, 17-29, 2016 | 108 | 2016 |
| Prediction of roughness coefficient of a meandering open channel flow using Neuro-Fuzzy Inference System S Moharana, KK Khatua Measurement 51, 112-123, 2014 | 33 | 2014 |
| Modelling high-resolution Evapotranspiration in fragmented croplands from the constellation of Sentinels S Chintala, TS Harmya, B Kambhammettu, S Moharana, S Duvvuri Remote Sensing Applications: Society and Environment 26, 100704, 2022 | 13 | 2022 |
| Estimation of water stress variability for a rice agriculture system from space-borne hyperion imagery S Moharana, S Dutta Agricultural Water Management 213, 260-269, 2019 | 13 | 2019 |
| Spatial distribution of inter-and intra-crop variability using time-weighted dynamic time warping analysis from Sentinel-1 datasets S Moharana, B Kambhammettu, S Chintala, AS Rani, R Avtar Remote Sensing Applications: Society and Environment 24, 100630, 2021 | 7 | 2021 |
| Hyperspectral remote sensing of paddy crop using insitu measurement and clustering technique S Moharana, S Dutta The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014 | 6 | 2014 |
| Friction factor of a meandering open channel flow S Moharana, KK Khatua, M Sahu River Basin Management VII 172, 75, 2012 | 5 | 2012 |
| Advanced vegetation indices for sensing paddy growth via hyperspectral measurements S Moharana, H Medhi, S Dutta Geocarto International 33 (2), 130-147, 2018 | 4 | 2018 |
| Retrieval of paddy crop nutrient content at plot scale using optimal synthetic bands of high spectral and spatial resolution satellite imagery S Moharana, S Dutta Journal of the Indian Society of Remote Sensing 50 (6), 949-959, 2022 | 2 | 2022 |
| Mapping of biophysical parameters of rice agriculture system from hyperspectral imagery S Moharana, S Duta EGU General Assembly Conference Abstracts, 18000, 2017 | 2 | 2017 |
| Hyperspectral remote sensing of rice agriculture for field scale variability mapping S Moharana Guwahati, 2018 | 1 | 2018 |
| Application of adaptive neuro-fuzzy inference system for the estimation of roughness coefficient of a meandering open-channel flow S Moharana, KK Khatua, M Sahu International Journal of Sustainable Development and Planning 10 (1), 87-99, 2015 | 1 | 2015 |
| Relation between weather radar reflectivity and rainfall rate: A case study in North Indian Regions A Anjaneyulu, S Moharana, K Ray, S Dutta NERIST-2014, 2014 | 1 | 2014 |
| Climate change impact on groundwater especially in semi-arid regions of West Bengal, India S Moharana, B Kumar AGU23, 2024 | | 2024 |
| Water use efficiency (WUE) Modeling at Leaf level of Cotton (Gossypium hirsutum L.) in Telangana, India S Moharana, P BVN Kambhammettu EGU General Assembly Conference Abstracts, EGU22-9441, 2022 | | 2022 |
| Crop Classification in Complex and Fragmented Agriculture System using Machine Learning Algorithm from SAR datasets S Moharana, BP Kambhammettu, S Chintala, A Sandhya Rani AGU Fall Meeting Abstracts 2021, H33C-02, 2021 | | 2021 |
| Evaluation of water use efficiency and spatial variation of complexity levels at leaf scale S Moharana, BP Kambhammettu AGU Fall Meeting Abstracts 2021, IN35C-0410, 2021 | | 2021 |
| Improving the Classification Accuracy of Fragmented Cropland by using an Advanced Classification Algorithm S Moharana, B Kambhammettu, M Syam Chintala, AS Rani, R Avtar EGU General Assembly Conference Abstracts, EGU21-6438, 2021 | | 2021 |
| Capability of Hyperspectral data in Spatial Variability Distribution of Chlorophyll and Water Stress in Rice Agriculture System S Moharana, S Dutta AGU Fall Meeting Abstracts 2016, B31E-0517, 2016 | | 2016 |
| Spatial Field Variability Mapping of Rice Crop using Clustering Technique from Space Borne Hyperspectral Data S Moharana, S Dutta AGU Fall Meeting Abstracts 2015, B43A-0534, 2015 | | 2015 |
