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
258 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
249 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
195 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
156 2019 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
147 2018 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
146 2006 Improving algorithms and uncertainty estimates for satellite KF Boersma, HJ Eskes, A Richter, I De Smedt, A Lorente, S Beirle, ...
Atmospheric Measurement Techniques 11 (12), 6651-6678, 2018
144 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
130 2014 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
88 2017 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
87 2007 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
77 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
75 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
64 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
59 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 Laser scanning reveals potential underestimation of biomass carbon in temperate forest K Calders, H Verbeeck, A Burt, N Origo, J Nightingale, Y Malhi, P Wilkes, ...
Ecological Solutions and Evidence 3 (4), e12197, 2022
45 2022 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 