| Identifying plant species using mid-wave infrared (2.5–6 μm) and thermal infrared (8–14 μm) emissivity spectra S Ullah, M Schlerf, AK Skidmore, C Hecker Remote Sensing of Environment 118, 95-102, 2012 | 141 | 2012 |
| Estimation of grassland biomass and nitrogen using MERIS data S Ullah, Y Si, M Schlerf, AK Skidmore, M Shafique, IA Iqbal International journal of applied earth observation and geoinformation 19 …, 2012 | 109 | 2012 |
| Retrieval of leaf water content spanning the visible to thermal infrared spectra S Ullah, AK Skidmore, A Ramoelo, TA Groen, M Naeem, A Ali ISPRS journal of photogrammetry and remote sensing 93, 56-64, 2014 | 86 | 2014 |
| An accurate retrieval of leaf water content from mid to thermal infrared spectra using continuous wavelet analysis S Ullah, AK Skidmore, M Naeem, M Schlerf Science of the total environment 437, 145-152, 2012 | 77 | 2012 |
| Comparative analysis of SVM, ANN and CNN for classifying vegetation species using hyperspectral thermal infrared data M Hasan, S Ullah, MJ Khan, K Khurshid The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 72 | 2019 |
| Evaluation of three proposed indices for the retrieval of leaf water content from the mid-wave infrared (2–6 μm) spectra S Ullah, AK Skidmore, TA Groen, M Schlerf Agricultural and forest meteorology 171, 65-71, 2013 | 52 | 2013 |
| Using a genetic algorithm as an optimal band selector in the mid and thermal infrared (2.5–14 μm) to discriminate vegetation species S Ullah, TA Groen, M Schlerf, AK Skidmore, W Nieuwenhuis, C Vaiphasa Sensors 12 (7), 8755-8769, 2012 | 50 | 2012 |
| Automatic shoreline extraction and change detection: A study on the southeast coast of Bangladesh MS Hossain, M Yasir, P Wang, S Ullah, M Jahan, S Hui, Z Zhao Marine geology 441, 106628, 2021 | 41 | 2021 |
| Geospatial assessment of soil erosion intensity and sediment yield: a case study of Potohar Region, Pakistan S Ullah, A Ali, M Iqbal, M Javid, M Imran Environmental Earth Sciences 77, 1-13, 2018 | 41 | 2018 |
| A novel approach to estimate canopy height using ICESat/GLAS data: A case study in the New Forest National Park, UK IA Iqbal, J Dash, S Ullah, G Ahmad International Journal of Applied Earth Observation and Geoinformation 23 …, 2013 | 36 | 2013 |
| Estimation and forecasting of rice yield using phenology-based algorithm and linear regression model on sentinel-ii satellite data A Nazir, S Ullah, ZA Saqib, A Abbas, A Ali, MS Iqbal, K Hussain, M Shakir, ... Agriculture 11 (10), 1026, 2021 | 32 | 2021 |
| Spatial assessment of water quality parameters in Jhelum city (Pakistan) S Javed, A Ali, S Ullah Environmental monitoring and assessment 189, 1-16, 2017 | 32 | 2017 |
| Seismo ionospheric anomalies in Turkey associated with Mw≥ 6.0 earthquakes detected by GPS stations and GIM TEC M Shah, S Inyurt, M Ehsan, A Ahmed, M Shakir, S Ullah, MS Iqbal Advances in Space Research 65 (11), 2540-2550, 2020 | 30 | 2020 |
| Regolith modeling and its relation to earthquake induced building damage: A remote sensing approach M Shafique, M van der Meijde, S Ullah Journal of Asian Earth Sciences 42 (1-2), 65-75, 2011 | 21 | 2011 |
| Machine learning in earthquake-and typhoon-triggered landslide susceptibility mapping and critical factor identification MZ Ali, HJ Chu, YC Chen, S Ullah Environmental Earth Sciences 80 (6), 233, 2021 | 17 | 2021 |
| A remotely sensed tracking of forest cover and associated temperature change in Margalla hills N Khalid, S Ullah, SS Ahmad, A Ali, F Chishtie International journal of digital earth, 2018 | 16 | 2018 |
| Estimation of leaf water content from mid-and thermal-infrared spectra by coupling genetic algorithm and partial least squares regression M Arshad, S Ullah, K Khurshid, A Ali Journal of Applied Remote Sensing 12 (2), 022203-022203, 2018 | 15 | 2018 |
| Extraction of landslide information based on object-oriented approach and cause analysis in Shuicheng, China Y Han, P Wang, Y Zheng, M Yasir, C Xu, S Nazir, MS Hossain, S Ullah, ... Remote Sensing 14 (3), 502, 2022 | 14 | 2022 |
| Evaluating glacier dynamics using temporal remote sensing images: a case study of Hunza Valley, northern Pakistan M Shafique, B Faiz, AS Bacha, S Ullah Environmental earth sciences 77, 1-11, 2018 | 13 | 2018 |
| Spatial modeling of dengue prevalence and kriging prediction of dengue outbreak in Khyber Pakhtunkhwa (Pakistan) using presence only data H Ahmad, A Ali, SH Fatima, F Zaidi, M Khisroon, SB Rasheed, I Ullah, ... Stochastic environmental research and risk assessment 34, 1023-1036, 2020 | 11 | 2020 |
Andrew SkidmoreProfessor of Spatial Environmental Resource Dynamics, ITC, University of TwenteVerified email at utwente.nl
