Snow-corrected vegetation indices for improved gross primary productivity assessment in North American evergreen forests

[1]  J. Gamon,et al.  Confounding effects of snow cover on remotely sensed vegetation indices of evergreen and deciduous trees: An experimental study , 2023, Global change biology.

[2]  P. Sullivan,et al.  Sufficient conditions for rapid range expansion of a boreal conifer , 2022, Nature.

[3]  Christopher Y. S. Wong,et al.  Remotely sensed carotenoid dynamics improve modelling photosynthetic phenology in conifer and deciduous forests , 2022, Agricultural and Forest Meteorology.

[4]  C. Frankenberg,et al.  Optical vegetation indices for monitoring terrestrial ecosystems globally , 2022, Nature Reviews Earth & Environment.

[5]  J. Peñuelas,et al.  Future reversal of warming-enhanced vegetation productivity in the Northern Hemisphere , 2022, Nature Climate Change.

[6]  P. Blanken,et al.  Gross primary production (GPP) and red solar induced fluorescence (SIF) respond differently to light and seasonal environmental conditions in a subalpine conifer forest , 2022, Agricultural and Forest Meteorology.

[7]  K. Nasahara,et al.  In-situ observations on a moderate resolution scale for validation of the Global Change Observation Mission-Climate ecological products: The uncertainty quantification in ecological reference data , 2022, Int. J. Appl. Earth Obs. Geoinformation.

[8]  C. Frankenberg,et al.  Diurnal and Seasonal Dynamics of Solar‐Induced Chlorophyll Fluorescence, Vegetation Indices, and Gross Primary Productivity in the Boreal Forest , 2022, Journal of Geophysical Research: Biogeosciences.

[9]  M. A. Arain,et al.  Heat and drought impact on carbon exchange in an age-sequence of temperate pine forests , 2022, Ecological Processes.

[10]  Yong Ge,et al.  Mismatches between vegetation greening and primary productivity trends in South Asia - A satellite evidence , 2021, Int. J. Appl. Earth Obs. Geoinformation.

[11]  A. Walter-McNeill,et al.  Wide variation of winter-induced sustained thermal energy dissipation in conifers: a common-garden study , 2021, Oecologia.

[12]  Thomas P. F. Dowling,et al.  The PRISMA imaging spectroscopy mission: overview and first performance analysis , 2021 .

[13]  Sergio A. Vargas Zesati,et al.  Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems , 2021, Ecological applications : a publication of the Ecological Society of America.

[14]  Roberta E. Martin,et al.  NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms , 2021 .

[15]  F. J. García-Haro,et al.  A unified vegetation index for quantifying the terrestrial biosphere , 2021, Science Advances.

[16]  T. A. Black,et al.  Seasonal variation in the canopy color of temperate evergreen conifer forests , 2020, The New phytologist.

[17]  Natalie G. Dawson,et al.  The State of Conservation in North America’s Boreal Forest: Issues and Opportunities , 2020, Frontiers in Forests and Global Change.

[18]  Jonas Ardö,et al.  The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data , 2020, Scientific Data.

[19]  P. Moore,et al.  Climate‐change refugia in boreal North America: what, where, and for how long? , 2020, Frontiers in Ecology and the Environment.

[20]  I. Ibáñez,et al.  Soil moisture gradients and climate change: predicting growth of a critical boreal tree species , 2020, Canadian Journal of Forest Research.

[21]  P. Blanken,et al.  Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest , 2020, Biogeosciences.

[22]  J. Gamon,et al.  Detecting intra- and inter-annual variability in gross primary productivity of a North American grassland using MODIS MAIAC data , 2020 .

[23]  Christopher Y. S. Wong,et al.  Tracking the phenology of photosynthesis using carotenoid sensitive and near-infrared reflectance vegetation indices in a temperate evergreen and mixed deciduous forest. , 2020, The New phytologist.

[24]  T. A. Black,et al.  Seasonal variability of forest sensitivity to heat and drought stresses: A synthesis based on carbon fluxes from North American forest ecosystems , 2019, Global change biology.

[25]  Bijan Seyednasrollah,et al.  Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset , 2019, Scientific Data.

[26]  J. Pomeroy,et al.  Detecting intercepted snow on mountain needleleaf forest canopies using satellite remote sensing , 2019, Remote Sensing of Environment.

[27]  P. Blanken,et al.  Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence , 2019, Proceedings of the National Academy of Sciences.

[28]  D. Baldocchi,et al.  What is global photosynthesis? History, uncertainties and opportunities , 2019, Remote Sensing of Environment.

[29]  Anne D. Bjorkman,et al.  Complexity revealed in the greening of the Arctic , 2019, Nature Climate Change.

[30]  Alexei Lyapustin,et al.  MODIS Collection 6 MAIAC algorithm , 2018, Atmospheric Measurement Techniques.

[31]  M. Migliavacca,et al.  Basic and extensible post-processing of eddy covariance flux data with REddyProc , 2018, Biogeosciences.

[32]  C. Ammer.  Diversity and forest productivity in a changing climate. , 2018, The New phytologist.

[33]  Hongyi Li,et al.  Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[34]  Peter D. Blanken,et al.  Limitations to winter and spring photosynthesis of a Rocky Mountain subalpine forest , 2018 .

[35]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[36]  Lars Eklundh,et al.  Disentangling remotely-sensed plant phenology and snow seasonality at northern Europe using MODIS and the plant phenology index , 2017 .

[37]  Ran Wang,et al.  Parallel Seasonal Patterns of Photosynthesis, Fluorescence, and Reflectance Indices in Boreal Trees , 2017, Remote. Sens..

[38]  S. Kanae,et al.  A high‐accuracy map of global terrain elevations , 2017 .

[39]  Joanne C. White,et al.  A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series , 2017 .

[40]  Anatoly A. Gitelson,et al.  Assessment of Canopy Chlorophyll Content Retrieval in Maize and Soybean: Implications of Hysteresis on the Development of Generic Algorithms , 2017, Remote. Sens..

[41]  C. Field,et al.  Canopy near-infrared reflectance and terrestrial photosynthesis , 2017, Science Advances.

[42]  Wout Verhoef,et al.  The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8 , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[43]  T. A. Black,et al.  Photosynthetic Efficiency of Northern Forest Ecosystems Using a MODIS-Derived Photochemical Reflectance Index (PRI) , 2016 .

[44]  Josep Peñuelas,et al.  A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers , 2016, Proceedings of the National Academy of Sciences.

[45]  F. W. Bell,et al.  Climatic sensitivity, water‐use efficiency, and growth decline in boreal jack pine (Pinus banksiana) forests in Northern Ontario , 2016 .

[46]  Guangjian Yan,et al.  Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison , 2016, Remote. Sens..

[47]  Philippe Ciais,et al.  Canopy and physiological controls of GPP during drought and heat wave , 2016 .

[48]  M. Goulden,et al.  A montane Mediterranean climate supports year-round photosynthesis and high forest biomass. , 2016, Tree physiology.

[49]  Nate G. McDowell,et al.  Multi-scale predictions of massive conifer mortality due to chronic temperature rise , 2016 .

[50]  Larry D. Hinzman,et al.  Understory CO2, sensible heat, and latent heat fluxes in a black spruce forest in interior Alaska , 2015 .

[51]  John A. Gamon,et al.  Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors , 2015 .

[52]  Patrick Hostert,et al.  The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation , 2015, Remote. Sens..

[53]  John A Gamon,et al.  The photochemical reflectance index provides an optical indicator of spring photosynthetic activation in evergreen conifers. , 2015, The New phytologist.

[54]  John A. Gamon,et al.  Optical sampling of the flux tower footprint , 2015 .

[55]  James M. Omernik,et al.  Ecoregions of the Conterminous United States: Evolution of a Hierarchical Spatial Framework , 2014, Environmental Management.

[56]  T. A. Black,et al.  Vertical distribution of carbon dioxide sources and sinks in a recovering mountain pine beetle-attacked lodgepole pine stand , 2014 .

[57]  L. Eklundh,et al.  A physically based vegetation index for improved monitoring of plant phenology , 2014 .

[58]  Shilong Piao,et al.  Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai–Tibetan Plateau , 2014 .

[59]  Jasper Snoek,et al.  Bayesian Optimization with Unknown Constraints , 2014, UAI.

[60]  BoisvenueC.,et al.  Carbon in Canada’s boreal forest — A synthesis1 , 2013 .

[61]  D. Foster,et al.  Four Centuries of Change in Northeastern United States Forests , 2013, PloS one.

[62]  Stefania Matteoli,et al.  The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[63]  Hiroki Iwata,et al.  Variations in fraction of absorbed photosynthetically active radiation and comparisons with MODIS data in burned black spruce forests of interior Alaska , 2013 .

[64]  Serge Rambal,et al.  Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements , 2013 .

[65]  R. Seager,et al.  Temperature as a potent driver of regional forest drought stress and tree mortality , 2013 .

[66]  Thomas E. Kolb,et al.  Extreme late-summer drought causes neutral annual carbon balance in southwestern ponderosa pine forests and grasslands , 2013 .

[67]  Craig E. Tweedie,et al.  Spatial and Temporal Variation in Primary Productivity (NDVI) of Coastal Alaskan Tundra: Decreased Vegetation Growth Following Earlier Snowmelt , 2013 .

[68]  C. Tucker,et al.  Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction , 2012 .

[69]  M. Goulden,et al.  Evapotranspiration along an elevation gradient in California's Sierra Nevada , 2012 .

[70]  T. A. Black,et al.  Residual vegetation importance to net CO2 uptake in pine-dominated stands following mountain pine beetle attack in British Columbia, Canada , 2012 .

[71]  P. Zarco-Tejada,et al.  Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera , 2012 .

[72]  Michael D. Grossberg,et al.  Increasing the Accuracy of MODIS/Aqua Snow Product Using Quantitative Image Restoration Technique , 2012, IEEE Geoscience and Remote Sensing Letters.

[73]  Lars Eklundh,et al.  An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration , 2011, Sensors.

[74]  Josep Peñuelas,et al.  The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies: A review and meta-analysis , 2011 .

[75]  Kenneth L. Clark,et al.  Ecosystem carbon dioxide fluxes after disturbance in forests of North America , 2010 .

[76]  Pablo J. Zarco-Tejada,et al.  Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery , 2010 .

[77]  A. Arneth,et al.  Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation , 2010 .

[78]  A. Deslauriers,et al.  The timing of spring rehydration and its relation with the onset of wood formation in black spruce , 2009 .

[79]  Thomas H. Painter,et al.  Interpretation of snow properties from imaging spectrometry , 2009 .

[80]  Elizabeth M. Middleton,et al.  Regional mapping of gross light-use efficiency using MODIS spectral indices , 2008 .

[81]  G. Bonan.  Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests , 2008, Science.

[82]  Pablo J. Zarco-Tejada,et al.  Assessing Canopy PRI for Water Stress detection with Diurnal Airborne Imagery , 2008 .

[83]  A. Kirilenko,et al.  Climate change impacts on forestry , 2007, Proceedings of the National Academy of Sciences.

[84]  T. Andrew Black,et al.  Carbon dioxide fluxes in coastal Douglas-fir stands at different stages of development after clearcut harvesting , 2006 .

[85]  W. Oechel,et al.  Parallel adjustments in vegetation greenness and ecosystem CO2 exchange in response to drought in a Southern California chaparral ecosystem , 2006 .

[86]  Eero Nikinmaa,et al.  Wintertime photosynthesis and water uptake in a boreal forest. , 2006, Tree physiology.

[87]  T. Vesala,et al.  On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .

[88]  M. A. Arain,et al.  Net ecosystem production in a temperate pine plantation in southeastern Canada , 2005 .

[89]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[90]  Maosheng Zhao,et al.  A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production , 2004 .

[91]  Stefan Jansson,et al.  Intermittent low temperatures constrain spring recovery of photosynthesis in boreal Scots pine forests , 2004 .

[92]  Hans Peter Schmid,et al.  Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation: A novel approach , 2004 .

[93]  J. Omernik,et al.  Developing a Spatial Framework of Common Ecological Regions for the Conterminous United States , 2001, Environmental management.

[94]  C. Field,et al.  Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types , 1995 .

[95]  J. Tukey,et al.  Variations of Box Plots , 1978 .

[96]  A. Verhoeven.  Sustained energy dissipation in winter evergreens , 2014 .

[97]  B. Demmig‐Adams,et al.  The role of xanthophyll cycle carotenoids in the protection of photosynthesis , 1996 .