Manish K. Verma, Ph.D.
Affiliations: | 2013 | Boston University, Boston, MA, United States |
Area:
Remote Sensing, Biogeochemistry, Physical GeographyGoogle:
"Manish Verma"Parents
Sign in to add mentorMark A. Friedl | grad student | 2013 | Boston University | |
(Observing and modeling dynamics in terrestrial gross primary productivity and phenology from remote sensing: An assessment using in-situ measurements.) |
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Publications
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Zhang Y, Xiao X, Zhang Y, et al. (2018) On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals Remote Sensing of Environment. 205: 276-289 |
Sun Y, Frankenberg C, Wood JD, et al. (2017) OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence. Science (New York, N.Y.). 358 |
Jeong S, Schimel D, Frankenberg C, et al. (2017) Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests Remote Sensing of Environment. 190: 178-187 |
Verma M, Schimel D, Evans B, et al. (2017) Effect of environmental conditions on the relationship between solar‐induced fluorescence and gross primary productivity at an OzFlux grassland site Journal of Geophysical Research. 122: 716-733 |
Verma M, Fisher JB, Mallick K, et al. (2016) Global Surface Net-Radiation at 5 km from MODIS Terra Remote Sensing. 8: 739-739 |
Verma M, Friedl MA, Finzi A, et al. (2016) Multi-criteria evaluation of the suitability of growth functions for modeling remotely sensed phenology Ecological Modelling. 323: 123-132 |
Wood JD, Griffis TJ, Baker JM, et al. (2016) Multi-scale analyses reveal robust relations between solar induced fluorescence and gross primary production Geophysical Research Letters |
Verma M, Friedl MA, Law BE, et al. (2015) Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data Agricultural and Forest Meteorology. 214: 416-429 |
Verma M, Friedl MA, Richardson AD, et al. (2014) Remote sensing of annual terrestrial gross primary productivity from MODIS: An assessment using the FLUXNET la Thuile data set Biogeosciences. 11: 2185-2200 |
Ganguly S, Friedl MA, Tan B, et al. (2010) Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product Remote Sensing of Environment. 114: 1805-1816 |