Journal Articles

  1. & Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest. Remote Sensing 11(7), 856
  2. & Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area. IEEE Geoscience and Remote Sensing Letters, 1-5.
  3. & Merging regional and global AOD records from 15 available satellite products. Atmospheric Chemistry and Physics Discussions, 1-62.
  4. & Improving the Performance of 3-D Radiative Transfer Model FLIGHT to Simulate Optical Properties of a Tree-Grass Ecosystem. Remote Sensing 10(12), 2061
  5. & Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation. Remote Sensing 10(9), 1414
  6. & Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data. Atmospheric Chemistry and Physics 18(17), 12845-12857.
  7. & Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature Plants 4(7), 432-439.
  8. & Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods. Surveys in Geophysics, 1-41.
  9. & Particulate emissions from large North American wildfires estimated using a new top-down method. Atmospheric Chemistry and Physics 17(10), 6423-6438.
  10. & Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure. Remote Sensing of Environment 193, 165-179.
  11. & Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model. Remote Sensing of Environment 188, 177-189.
  12. et. al. Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci). Remote Sensing 8(5), 421
  13. & Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data. Remote Sensing of Environment 179, 149-161.
  14. & Morton et al. reply, Dry-season greening of Amazon forests. Nature 531(7594), E6-E6.
  15. & Smoke aerosol properties and ageing effects for northern temperate and boreal regions derived from AERONET source and age attribution. Atmospheric Chemistry and Physics 15(14), 7929-7943.
  16. & Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data. Atmospheric Measurement Techniques 8(4), 1719-1731.
  17. & The uncertainty of biomass estimates from modeled ICESat-2 returns across a boreal forest gradient. Remote Sensing of Environment 158, 95-109.
  18. et. al. Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis. Remote Sensing of Environment 162, 295-315.
  19. & Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature 506(7487), 221-224.
  20. & Response of vegetation to the 2003 European drought was mitigated by height. Biogeosciences 11(11), 2897-2908.
  21. & Slope Estimation from ICESat/GLAS. Remote Sensing 6(10), 10051-10069.
  22. & Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment 139, 257-270.
  23. & Response of vegetation to the 2003 European drought was mitigated by height. Biogeosciences Discussions 10(10), 16075-16100.
  24. & Evaluating Prospects for Improved Forest Parameter Retrieval From Satellite LiDAR Using a Physically-Based Radiative Transfer Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6(1), 45-53.
  25. & Aerosol retrieval experiments in the ESA Aerosol_cci project. Atmospheric Measurement Techniques 6(8), 1919-1957.
  26. & Statistical Distances and Their Applications to Biophysical Parameter Estimation: Information Measures, M-Estimates, and Minimum Contrast Methods. Remote Sensing 5(3), 1355-1388.
  27. & Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data. Geoscientific Model Development 5(2), 413-432.
  28. & Intercomparison of desert dust optical depth from satellite measurements. Atmospheric Measurement Techniques 5(8), 1973-2002.
  29. & Control of atmospheric particles on diffuse radiation and terrestrial plant productivity: A review. Progress in Physical Geography 36(2), 209
  30. & Mapping radiation interception in row-structured orchards using 3D simulation and high-resolution airborne imagery acquired from a UAV. Precision Agriculture 13(4), 473-500.
  31. & A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR. Remote Sensing of Environment 116, 199-210.
  32. & Forestry Applications for Satellite Lidar Remote Sensing. Photogrammetric Engineering & Remote Sensing 77(3), 271-279.
  33. et. al. The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light. Atmospheric Measurement Techniques 3(4), 909-932.
  34. & A Monte Carlo radiative transfer model of satellite waveform LiDAR. International Journal of Remote Sensing 31(5), 1343
  35. & Improvements in Aerosol Optical Depth Estimation Using Multiangle CHRIS/PROBA Images. IEEE Transactions on Geoscience and Remote Sensing 48(1), 18
  36. & Uncertainty within satellite LiDAR estimations of vegetation and topography. International Journal of Remote Sensing 31(5), 1325
  37. & Impact of atmospheric aerosol from biomass burning on Amazon dry-season drought. Journal of Geophysical Research 114(D9), n/a
  38. & Satellite-driven modelling of Net Primary Productivity (NPP): Theoretical analysis. Remote Sensing of Environment 113(1), 137-147.
  39. & A comparison of biophysical parameter retrieval for forestry using airborne and satellite LiDAR. International Journal of Remote Sensing 30(19), 5229
  40. & New Vegetation Albedo Parameters and Global Fields of Soil Background Albedo Derived from MODIS for Use in a Climate Model. Journal of Hydrometeorology 10(1), 183
  41. & The inter-comparison of AATSR dual-view aerosol optical thickness retrievals with results from various algorithms and instruments. International Journal of Remote Sensing 30(17), 4525
  42. & Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. International Journal of Remote Sensing 29(17-18), 5093
  43. & Vegetation height estimates for a mixed temperate forest using satellite laser altimetry. International Journal of Remote Sensing 29(5), 1475
  44. & The RAMI On-line Model Checker (ROMC): A web-based benchmarking facility for canopy reflectance models. Remote Sensing of Environment 112(3), 1144
  45. & Vegetation height and stemwood volume estimates for a mixed temperate forest using satellite LiDAR.. Japanese Journal of Forest Planning, Special Issue: LiDAR Application in Forestry 13, 205-14.
  46. & Satellite lidar estimation of stemwood volume: a method using waveform decomposition. Photogrammetric Journal of Finland 21(1), 76-85.
  47. & The impact of diffuse sunlight on canopy light-use efficiency, gross photosynthetic product and net ecosystem exchange in three forest biomes. Global Change Biology 13(4), 776-787.
  48. & Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments. Atmospheric Research 85(3-4), 372-394.
  49. & Improved global simulations of gross primary product based on a separate and explicit treatment of diffuse and direct sunlight. Journal of Geophysical Research 112(D7)
  50. & Interpreting shallow, vertical nitrogen profiles in tree crowns: A three-dimensional, radiative-transfer simulation accounting for diffuse sunlight. Agricultural and Forest Meteorology 145(1-2), 110-124.
  51. & Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models. Journal of Geophysical Research 112(D9)
  52. & A sensitivity analysis of the land-surface scheme JULES conducted for three forest biomes: Biophysical parameters, model processes, and meteorological driving data. Global Biogeochemical Cycles 20(1), n/a-n/a.
  53. & An observation-based estimate of the strength of rainfall-vegetation interactions in the Sahel. Geophysical Research Letters 33(16)
  54. & Computationally efficient method for retrieving aerosol optical depth from ATSR-2 and AATSR data. Applied Optics 45(12), 2786
  55. & Aerosol optical depth and land surface reflectance from multiangle AATSR measurements: global validation and intersensor comparisons. IEEE Transactions on Geoscience and Remote Sensing 44(8), 2184
  56. & A method to convert AVHRR Normalized Difference Vegetation Index time series to a standard viewing and illumination geometry. Remote Sensing of Environment 99(4), 400-411.
  57. & Radiative transfer modeling of direct and diffuse sunlight in a Siberian pine forest. Journal of Geophysical Research 110(D23)
  58. & Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase. Journal of Geophysical Research 109(D6)
  59. & Forest ecosystem chlorophyll content: Implications for remotely sensed estimates of net primary productivity. International Journal of Remote Sensing 24(3), 611-617.
  60. Estimation of fAPAR, LAI, and vegetation fractional cover from ATSR-2 imagery. Remote Sensing of Environment 80(1), 114-121.
  61. Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR-2 dual-angle imagery: Operational method and validation. Journal of Geophysical Research 107(D12)
  62. & Radiation transfer model intercomparison (RAMI) exercise. Journal of Geophysical Research: Atmospheres 106(D11), 11937-11956.
  63. & Remote sensing of canopy light use efficiency using the photochemical reflectance index. Remote Sensing of Environment 78(3), 264
  64. & Monte Carlo ray tracing in optical canopy reflectance modelling. Remote Sensing Reviews 18(2-4), 163-196.
  65. & Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multiangle imagery. IEEE Transactions on Geoscience and Remote Sensing 37(1), 526-537.
  66. & New data sets for climate change and land use studies are on track. Eos, Transactions American Geophysical Union 80(49), 589
  67. & The Propagation of Foliar Biochemical Absorption Features in Forest Canopy Reflectance. Remote Sensing of Environment 67(2), 147-159.
  68. & Analyzing the effect of structural variability and canopy gaps on forest BRDF using a geometric-optical model. Remote Sensing of Environment 62(1), 46-62.
  69. Three-dimensional forest light interaction model using a Monte Carlo method. IEEE Transactions on Geoscience and Remote Sensing 34(4), 946-956.

Book Chapters

  1. & Lidar Remote Sensing for Biomass Assessment. In Remote Sensing of Biomass - Principles and Applications, Temilola Fatoyinbo (Ed.), InTech Open Access Publisher. (pp. 1-25). InTech.
  2. & Aerosol Optical Depth from multiview-angle AATSR satellite observations. In Kokhanovsky, Alexander A., de Leeuw, Gerrit (Ed.), Satellite Aerosol Remote Sensing Over Land, A. Kokhanovsky and Gerrit De Leeuw (Eds). Springer Praxis Books. (pp. 161-192). Chichester, UK: Springer Praxis Books.

Conference Contributions

  1. & (2018). Monitoring Forest Health with Sun-Induced Chlorophyll Fluorescence Observations and 3-D Radiative Transfer Modeling. Presented at IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium,, 5999-6002. Valencia, Spain: doi:10.1109/IGARSS.2018.8519389
  2. & (2018). OLCI/SLSTR SYN L2 Algorithm and Products Overview. Presented at IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium,, 8723-8726. Valencia, Spain: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. doi:10.1109/IGARSS.2018.8517420
  3. & (2012). The ESA globAlbedo project: Algorithm. , 5745-5748. Munich: IEEE. doi:10.1109/IGARSS.2012.6352306
  4. & (2008). MERIS/AATSR synergy algorithms for cloud screening, aerosol retrieval and atmospheric correction. Presented at n Proc. 2nd MERIS/AATSR User Workshop, ESRIN, Frascati, 22-26 September 2008. (CD-ROM), Noordwijk, The Netherlands.: SA Publications Division, European Space Agency.