| Endmember variability in spectral mixture analysis: A review B Somers, GP Asner, L Tits, P Coppin Remote Sensing of Environment 115 (7), 1603-1616, 2011 | 738 | 2011 |
| A model quantifying global vegetation resistance and resilience to short‐term climate anomalies and their relationship with vegetation cover W De Keersmaecker, S Lhermitte, L Tits, O Honnay, B Somers, P Coppin Global Ecology and Biogeography 24 (5), 539-548, 2015 | 204 | 2015 |
| Support vector regression and synthetically mixed training data for quantifying urban land cover A Okujeni, S van der Linden, L Tits, B Somers, P Hostert Remote Sensing of Environment 137, 184-197, 2013 | 160 | 2013 |
| Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin MG Selvaraj, A Vergara, F Montenegro, HA Ruiz, N Safari, D Raymaekers, ... ISPRS Journal of Photogrammetry and Remote Sensing 169, 110-124, 2020 | 150 | 2020 |
| A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data N Dobigeon, L Tits, B Somers, Y Altmann, P Coppin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 67 | 2014 |
| Assessment of Regional Vegetation Response to Climate Anomalies: A Case Study for Australia Using GIMMS NDVI Time Series between 1982 and 2006 W De Keersmaecker, S Lhermitte, MJ Hill, L Tits, P Coppin, B Somers Remote Sensing 9 (1), 34, 2017 | 61 | 2017 |
| Automated visual fruit detection for harvest estimation and robotic harvesting S Puttemans, Y Vanbrabant, L Tits, T Goedemé Image Processing Theory Tools and Applications (IPTA), 2016 6th …, 2016 | 60 | 2016 |
| Unmixing-based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress S Delalieux, PJ Zarco-Tejada, L Tits, MÁJ Bello, DS Intrigliolo, B Somers IEEE Journal of selected topics in applied earth observations and remote …, 2014 | 60 | 2014 |
| Species‐rich semi‐natural grasslands have a higher resistance but a lower resilience than intensively managed agricultural grasslands in response to climate anomalies W De Keersmaecker, N Van Rooijen, S Lhermitte, L Tits, J Schaminée, ... Journal of applied ecology 53 (2), 430-439, 2016 | 55 | 2016 |
| Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale A Clasen, B Somers, K Pipkins, L Tits, K Segl, M Brell, B Kleinschmit, ... Remote Sensing 7 (11), 15361-15387, 2015 | 50 | 2015 |
| Thermal infrared imaging of the temporal variability in stomatal conductance for fruit trees R Struthers, A Ivanova, L Tits, R Swennen, P Coppin International Journal of Applied Earth Observation and Geoinformation 39, 9-17, 2015 | 48 | 2015 |
| Quantifying nonlinear spectral mixing in vegetated areas: Computer simulation model validation and first results B Somers, L Tits, P Coppin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 45 | 2013 |
| Stem water potential monitoring in pear orchards through WorldView-2 multispectral imagery J Van Beek, L Tits, B Somers, P Coppin Remote Sensing 5 (12), 6647-6666, 2013 | 40 | 2013 |
| Stem Water Potential Monitoring in Pear Orchards through WorldView-2 Multispectral Imagery J Van Beek, L Tits, B Somers, P Coppin Remote Sensing 5 (12), 6647-6666, 2013 | 40 | 2013 |
| The potential and limitations of a clustering approach for the improved efficiency of multiple endmember spectral mixture analysis in plant production system monitoring L Tits, B Somers, P Coppin IEEE Transactions on Geoscience and Remote Sensing 50 (6), 2273-2286, 2011 | 40 | 2011 |
| Integration of in situ measured soil status and remotely sensed hyperspectral data to improve plant production system monitoring: Concept, perspectives and limitations L Tits, B Somers, J Stuckens, J Farifteh, P Coppin Remote Sensing of Environment 128, 197-211, 2013 | 36 | 2013 |
| Challenges and opportunities in remote sensing-based crop monitoring: a review B Wu, M Zhang, H Zeng, F Tian, AB Potgieter, X Qin, N Yan, S Chang, ... National Science Review 10 (4), nwac290, 2023 | 35 | 2023 |
| A dynamic unmixing framework for plant production system monitoring MD Iordache, L Tits, JM Bioucas-Dias, A Plaza, B Somers IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 34 | 2014 |
| Hyperspectral shape-based unmixing to improve intra-and interclass variability for forest and agro-ecosystem monitoring L Tits, W De Keersmaecker, B Somers, GP Asner, J Farifteh, P Coppin ISPRS Journal of Photogrammetry and Remote Sensing 74, 163-174, 2012 | 34 | 2012 |
| Pear Flower Cluster Quantification Using RGB Drone Imagery Y Vanbrabant, S Delalieux, L Tits, K Pauly, J Vandermaesen, B Somers Agronomy 10 (3), 407, 2020 | 30 | 2020 |
Ben SomersDepartment Earth & Environmental Sciences, Katholieke Universiteit Leuvenبريد إلكتروني تم التحقق منه على ees.kuleuven.be
