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Bijan Seyednasrollah
Bijan Seyednasrollah
Lead Machine Learning Engineer
Verified email at fas.harvard.edu
Title
Cited by
Cited by
Year
Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures
AD Richardson, K Hufkens, T Milliman, DM Aubrecht, ME Furze, ...
Nature 560 (7718), 368-371, 2018
2932018
Generalized joint attribute modeling for biodiversity analysis: Median‐zero, multivariate, multifarious data
JS Clark, D Nemergut, B Seyednasrollah, PJ Turner, S Zhang
Ecological Monographs 87 (1), 34-56, 2017
2422017
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
B Seyednasrollah, AM Young, K Hufkens, T Milliman, MA Friedl, ...
Scientific data 6 (1), 1-11, 2019
1552019
Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions
M Helbig, T Gerken, ER Beamesderfer, DD Baldocchi, T Banerjee, ...
Agricultural and Forest Meteorology 307, 108509, 2021
422021
Net radiation in a snow‐covered discontinuous forest gap for a range of gap sizes and topographic configurations
B Seyednasrollah, M Kumar
Journal of Geophysical Research: Atmospheres 119 (17), 10,323-10,342, 2014
422014
Leaf phenology paradox: Why warming matters most where it is already warm
B Seyednasrollah, JJ Swenson, JC Domec, JS Clark
Remote Sensing of Environment 209, 446-455, 2018
412018
On the role of vegetation density on net snow cover radiation at the forest floor
B Seyednasrollah, M Kumar, TE Link
Journal of Geophysical Research: Atmospheres 118 (15), 8359-8374, 2013
412013
Seasonal variation in the canopy color of temperate evergreen conifer forests
B Seyednasrollah, DR Bowling, R Cheng, BA Logan, TS Magney, ...
New Phytologist 229 (5), 2586-2600, 2021
352021
Understanding the continuous phenological development at daily time step with a Bayesian hierarchical space-time model: Impacts of climate change and extreme weather events
T Qiu, C Song, JS Clark, B Seyednasrollah, N Rathnayaka, J Li
Remote Sensing of Environment 247, 111956, 2020
312020
PhenoCam Dataset v2. 0: Vegetation Phenology from Digital Camera Imagery, 2000-2018
B Seyednasrollah, AM YOUNG, K HUFKENS, T MILLIMAN, MA FRIEDL, ...
ORNL DAAC, https://doi.org/10.3334/ORNLDAAC/1674, 2019
28*2019
Using time series of MODIS land surface phenology to model temperature and photoperiod controls on spring greenup in North American deciduous forests
M Moon, B Seyednasrollah, AD Richardson, MA Friedl
Remote Sensing of Environment 260, 112466, 2021
262021
Sensitivity of deciduous forest phenology to environmental drivers: Implications for climate change impacts across North America
B Seyednasrollah, AM Young, X Li, T Milliman, T Ault, S Frolking, M Friedl, ...
Geophysical Research Letters 47 (5), e2019GL086788, 2020
252020
Gross primary production (GPP) and red solar induced fluorescence (SIF) respond differently to light and seasonal environmental conditions in a subalpine conifer forest
JC Yang, TS Magney, LP Albert, AD Richardson, C Frankenberg, J Stutz, ...
Agricultural and Forest Meteorology 317, 108904, 2022
232022
Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community
RC Nagy, JK Balch, EK Bissell, ME Cattau, NF Glenn, BS Halpern, ...
Ecosphere 12 (12), e03833, 2021
222021
Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework
DM Browning, ES Russell, GE Ponce-Campos, N Kaplan, AD Richardson, ...
Ecological Indicators 131, 108147, 2021
222021
Flux Puppy–An open-source software application and portable system design for low-cost manual measurements of CO2 and H2O fluxes
MS Carbone, B Seyednasrollah, TT Rademacher, D Basler, JM Le Moine, ...
Agricultural and Forest Meteorology 274, 1-6, 2019
192019
Effects of tree morphometry on net snow cover radiation on forest floor for varying vegetation densities
B Seyednasrollah, M Kumar
Journal of Geophysical Research: Atmospheres 118 (22), 12,508-12,521, 2013
192013
Data extraction from digital repeat photography using xROI: An interactive framework to facilitate the process
B Seyednasrollah, T Milliman, AD Richardson
ISPRS Journal of Photogrammetry and Remote Sensing 152, 132-144, 2019
182019
PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018
T Milliman, B Seyednasrollah, AM Young, K Hufkens, MA Friedl, ...
ORNL DAAC, https://doi.org/10.3334/ORNLDAAC/1689, 2019
182019
Seasonality in aerodynamic resistance across a range of North American ecosystems
AM Young, MA Friedl, B Seyednasrollah, E Beamesderfer, CM Carrillo, ...
Agricultural and Forest Meteorology 310, 108613, 2021
172021
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