| An enhanced TIMESAT algorithm for estimating vegetation phenology metrics from MODIS data B Tan, JT Morisette, RE Wolfe, F Gao, GA Ederer, J Nightingale, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2010 | 252 | 2010 |
| An algorithm to produce temporally and spatially continuous MODIS-LAI time series F Gao, JT Morisette, RE Wolfe, G Ederer, J Pedelty, E Masuoka, R Myneni, ... IEEE Geoscience and Remote Sensing Letters 5 (1), 60-64, 2008 | 247 | 2008 |
| MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA RH Waring, NC Coops, W Fan, JM Nightingale Remote Sensing of Environment 103 (2), 218-226, 2006 | 190 | 2006 |
| Assessment of the MODIS LAI product for Australian ecosystems MJ Hill, U Senarath, A Lee, M Zeppel, JM Nightingale, RDJ Williams, ... Remote Sensing of Environment 101 (4), 495-518, 2006 | 143 | 2006 |
| The role and need for space-based forest biomass-related measurements in environmental management and policy M Herold, S Carter, V Avitabile, AB Espejo, I Jonckheere, R Lucas, ... Surveys in Geophysics 40, 757-778, 2019 | 141 | 2019 |
| Improving algorithms and uncertainty estimates for satellite retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project KF Boersma, HJ Eskes, A Richter, I De Smedt, A Lorente, S Beirle, ... Atmospheric Measurement Techniques 11 (12), 6651-6678, 2018 | 137 | 2018 |
| Realistic forest stand reconstruction from terrestrial LiDAR for radiative transfer modelling K Calders, N Origo, A Burt, M Disney, J Nightingale, P Raumonen, ... Remote Sensing 10 (6), 933, 2018 | 131 | 2018 |
| Global leaf area index product validation good practices R Fernandes, S Plummer, J Nightingale, F Baret, F Camacho, H Fang, ... Best Practice for Satellite-Derived Land Product Validation 2 (1), 76, 2014 | 127 | 2014 |
| Comparison of MODIS gross primary production estimates for forests across the USA with those generated by a simple process model, 3-PGS JM Nightingale, NC Coops, RH Waring, WW Hargrove Remote Sensing of Environment 109 (4), 500-509, 2007 | 85 | 2007 |
| Evaluation of the range accuracy and the radiometric calibration of multiple terrestrial laser scanning instruments for data interoperability K Calders, MI Disney, J Armston, A Burt, B Brede, N Origo, J Muir, ... IEEE Transactions on Geoscience and Remote Sensing 55 (5), 2716-2724, 2017 | 79 | 2017 |
| On line validation exercise (OLIVE): A web based service for the validation of medium resolution land products. Application to FAPAR products M Weiss, F Baret, T Block, B Koetz, A Burini, B Scholze, P Lecharpentier, ... Remote Sensing 6 (5), 4190-4216, 2014 | 74 | 2014 |
| Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index K Calders, N Origo, M Disney, J Nightingale, W Woodgate, J Armston, ... Agricultural and Forest Meteorology 252, 231-240, 2018 | 71 | 2018 |
| Comparison of three models for predicting gross primary production across and within forested ecoregions in the contiguous United States NC Coops, CJ Ferster, RH Waring, J Nightingale Remote Sensing of Environment 113 (3), 680-690, 2009 | 70 | 2009 |
| Ecosystem process models at multiple scales for mapping tropical forest productivity JM Nightingale, SR Phinn, AA Held Progress in Physical Geography 28 (2), 241-281, 2004 | 70 | 2004 |
| Assessment of relationships between precipitation and satellite derived vegetation condition within South Australia JM Nightingale, SR Phinn Australian Geographical Studies 41 (2), 180-195, 2003 | 63 | 2003 |
| Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics Y Shuai, C Schaaf, X Zhang, A Strahler, D Roy, J Morisette, Z Wang, ... International Journal of Remote Sensing 34 (16), 5997-6016, 2013 | 58 | 2013 |
| Use of 3-PG and 3-PGS to simulate forest growth dynamics of Australian tropical rainforests: I. Parameterisation and calibration for old-growth, regenerating and plantation forests JM Nightingale, MJ Hill, SR Phinn, ID Davies, AA Held, PD Erskine Forest Ecology and Management 254 (2), 107-121, 2008 | 56 | 2008 |
| Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests A Sanchez‐Azofeifa, J Antonio Guzmán, CA Campos, S Castro, ... Biotropica 49 (5), 604-619, 2017 | 53 | 2017 |
| Vegetation phenology metrics derived from temporally smoothed and gap-filled MODIS data B Tan, JT Morisette, RE Wolfe, F Gao, GA Ederer, J Nightingale, ... IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium …, 2008 | 45 | 2008 |
| Influence of levelling technique on the retrieval of canopy structural parameters from digital hemispherical photography N Origo, K Calders, J Nightingale, M Disney Agricultural and Forest Meteorology 237, 143-149, 2017 | 31 | 2017 |
