M. Friedl

C. Woodcock, M. Friedl, A. Schneider, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights

M. Friedl, A. Schneider, Xiaoman Huang, 2016 .

Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'.

M. Friedl, A. Schneider, David T. Potere, 2010 .

A new map of global urban extent from MODIS satellite data

M. Friedl, A. Schneider, David T. Potere, 2009 .

Decision tree classification of land cover from remotely sensed data

C. Brodley, M. Friedl, 1997 .

Identifying Mislabeled Training Data

Carla E. Brodley, Mark A. Friedl, C. Brodley, 1999, J. Artif. Intell. Res..

Sources of variation in radiometric surface temperature over a tallgrass prairie

M. Friedl, F. Davis, 1994 .

Large seasonal swings in leaf area of Amazon rainforests

D. Roy, R. Dickinson, S. Running, 2007, Proceedings of the National Academy of Sciences.

Diurnal Covariation in Soil Heat Flux and Net Radiation

M. Friedl, J. Santanello, 2003 .

Spatial Uncertainty in Ecology

M. Goodchild, M. Friedl, C. Hunsaker, 2001, Springer New York.

Land Surface Phenology from MODIS: Characterization of the Collection 5 Global Land Cover Dynamics Product

M. Friedl, S. Ganguly, Xiaoyang Zhang, 2010 .

Monitoring vegetation phenology using MODIS

A. Strahler, M. Friedl, A. Huete, 2003 .

Scaling Field Data to Calibrate and Validate Moderate Spatial Resolution Remote Sensing Models

C. Woodcock, A. Baccini, M. Friedl, 2007 .

Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda

A. Baccini, M. Friedl, C. Schmullius, 2012 .

Forward and inverse modeling of land surface energy balance using surface temperature measurements

Mark A. Friedl, M. Friedl, 2002 .

Scaling and uncertainty in the relationship between the NDVI and land surface biophysical variables: An analysis using a scene simulation model and data from FIFE

Mark A. Friedl, Frank W. Davis, Joel Michaelsen, 1995 .

Interactions between urban vegetation and surface urban heat islands: a case study in the Boston metropolitan region

M. Friedl, E. Melaas, Jonathan A. Wang, 2016 .

Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset

Bijan Seyednasrollah, Tom Milliman, Steve Frolking, 2019, Scientific Data.

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

Margaret Kosmala, Mark A. Friedl, Tom Milliman, 2018, Scientific Data.

Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery

G. Henebry, M. Friedl, Xiaoyang Zhang, 2018, Agricultural and Forest Meteorology.

Title Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery Permalink

M. Kosmala, S. Frolking, M. Friedl, 2018 .

Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography

Mark A. Friedl, Crystal B. Schaaf, Zhuosen Wang, 2018 .

Exploration of scaling effects on coarse resolution land surface phenology

G. Henebry, M. Friedl, F. Gao, 2017 .

Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat

Damien Sulla-Menashe, Mark A. Friedl, T. Andrew Black, 2016 .

Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States

Andrew D Richardson, M. Friedl, A. Richardson, 2016, Global change biology.

Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis.

Oliver Sonnentag, Gil Bohrer, Steve Frolking, 2015, Ecological applications : a publication of the Ecological Society of America.

Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment.

M. Friedl, O. Sonnentag, J. W. Munger, 2014, Ecological applications : a publication of the Ecological Society of America.

Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery

Mark A. Friedl, Oliver Sonnentag, Andrew D. Richardson, 2014 .

Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology

Mark A. Friedl, Oliver Sonnentag, Tom Milliman, 2012 .

Long-Term Detection of Global Vegetation Phenology from Satellite Instruments

Mark A. Friedl, Mitchell D. Goldberg, Bin Tan, 2012 .

Spatial structure, sampling design and scale in remotely-sensed imagery of a California savanna woodland

Kenneth C. McGwire, John E. Estes, M. Friedl, 1993 .

Remote Sensing of Croplands

M. Friedl, 2013 .

Forest biomass estimation over regional scales using multisource data

C. Woodcock, A. Baccini, M. Friedl, 2004 .

A note on procedures used for accuracy assessment in land cover maps derived from AVHRR data

Alan H. Strahler, Mark A. Friedl, Sucharita Gopal, 2000 .

Mapping land cover and green vegetation abundance using MODIS-like data: a case study of New England

Mark A. Friedl, Crystal B. Schaaf, Feng Gao, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America

A. Strahler, M. Friedl, S. Gopal, 2000 .

Response of terrestrial ecosystems to recent Northern Hemispheric drought

C. Tucker, M. Friedl, A. Lotsch, 2005 .

Coupled vegetation‐precipitation variability observed from satellite and climate records

C. Tucker, M. Friedl, A. Lotsch, 2003 .

Climate controls on vegetation phenological patterns in northern mid‐ and high latitudes inferred from MODIS data

A. Strahler, M. Friedl, Xiaoyang Zhang, 2004 .

Comparison of seasonal and spatial variations of leaf area index and fraction of absorbed photosynthetically active radiation from Moderate Resolution Imaging Spectroradiometer (MODIS) and Common Land Model

R. Dickinson, M. Friedl, Y. Knyazikhin, 2004 .

Land and cryosphere products from Suomi NPP VIIRS: Overview and status

C. Justice, M. Friedl, T. Miura, 2013, Journal of geophysical research. Atmospheres : JGR.

Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product

S. P. Abercrombie, D. Sulla-Menashe, M. Friedl, 2019, Remote Sensing of Environment.

A global fingerprint of macro-scale changes in urban structure from 1999 to 2009

S. Frolking, K. Seto, M. Friedl, 2013 .

Mapping Urban Areas by Fusing Multiple Sources of Coarse Resolution Remotely Sensed Data

C. Woodcock, M. Friedl, A. Schneider, 2003 .

Characterizing Global Land Cover Type and Seasonal Land Cover Dynamics at Moderate Spatial Resolution With MODIS Data

A. Strahler, M. Friedl, Xiaoyang Zhang, 2010 .

An Overview of Uncertainty in Optical Remotely Sensed Data for Ecological Applications

M. Friedl, K. McGwire, D. McIver, 2001 .

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

Douglas K. Bolton, M. Friedl, 2013 .

Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data

M. Friedl, Zhe Zhu, E. Melaas, 2013 .

A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change

M. Friedl, A. Richardson, T. Keenan, 2014 .

Net carbon uptake has increased through warming-induced changes in temperate forest phenology

I. Wing, M. Friedl, D. Hollinger, 2014 .

Extensive land cover change across Arctic–Boreal Northwestern North America from disturbance and climate forcing

C. Woodcock, D. Sulla-Menashe, M. Friedl, 2019, Global change biology.

Canadian boreal forest greening and browning trends: an analysis of biogeographic patterns and the relative roles of disturbance versus climate drivers

C. Woodcock, D. Sulla-Menashe, M. Friedl, 2017 .

Sources of bias and variability in long-term Landsat time series over Canadian boreal forests

C. Woodcock, D. Sulla-Menashe, M. Friedl, 2016 .

Generation and evaluation of the VIIRS land surface phenology product

Mark A. Friedl, Crystal B. Schaaf, Geoffrey M. Henebry, 2018, Remote Sensing of Environment.

Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products

Mark A. Friedl, Geoffrey M. Henebry, Eli K. Melaas, 2019, Remote Sensing of Environment.

Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

Mark A. Friedl, Lars Eklundh, Douglas K. Bolton, 2020, Remote Sensing of Environment.

Comparison and assessment of coarse resolution land cover maps for Northern Eurasia

Dirk Pflugmacher, Damien Sulla-Menashe, Mark A. Friedl, 2011 .

Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set

Piero Toscano, Mark A. Friedl, Damiano Gianelle, 2013 .

Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal segmentation

Damien Sulla-Menashe, Mark A. Friedl, Robert E. Kennedy, 2014 .

Hierarchical mapping of Northern Eurasian land cover using MODIS data

Guoqing Sun, Damien Sulla-Menashe, Mark A. Friedl, 2011 .

Enhancing MODIS land cover product with a spatial–temporal modeling algorithm

Damien Sulla-Menashe, Mark A. Friedl, Desheng Liu, 2014 .

Regression Tree Analysis of satellite and terrain data to guide vegetation sampling and surveys

J. Michaelsen, M. Friedl, R. Dubayah, 1994 .

Covariance of Biophysical Data With Digital Topographic and Land Use Maps Over the FIFE Site

Mark A. Friedl, Jeff Dozier, Frank W. Davis, 1992 .

Investigation of Aerodynamic and Radiometric Land Surface Temperatures

Mark A. Friedl, William P. Kustas, M. Friedl, 2002 .

Estimation of Convective Planetary Boundary Layer Evolution and Land-Atmosphere Interactions from MODIS and AIRS

M. Friedl, J. Santanello, 2006 .

Sensitivity of vegetation phenology detection to the temporal resolution of satellite data

Mark A. Friedl, Crystal B. Schaaf, Xiaoyang Zhang, 2009 .

A new seasonal‐deciduous spring phenology submodel in the Community Land Model 4.5: impacts on carbon and water cycling under future climate scenarios

Min Chen, Andrew D Richardson, M. Friedl, 2016, Global change biology.

Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data

Piero Toscano, Mark A. Friedl, Petra D'Odorico, 2015 .

Gradients of Atmospheric Temperature and Humidity Controlled by Local Urban Land-Use Intensity in Boston

M. Friedl, L. Hutyra, Dan Li, 2017 .

JP4.22 CONVECTIVE PLANETARY BOUNDARY LAYER EVOLUTION AND LAND SURFACE ENERGY BALANCE

M. Friedl, J. Santanello, 2003 .

The GOFC-GOLD/CEOS land cover harmonization and validation initiative: Technical design and implementation

M. Herold, M. Friedl, C. Schmullius, 2010 .

Using MODIS data to study the relation between climatic spatial variability and vegetation phenology in northern high latitudes

Alan H. Strahler, Mark A. Friedl, Feng Gao, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Sensitivity of Deciduous Forest Phenology to Environmental Drivers: Implications for Climate Change Impacts Across North America

S. Frolking, M. Friedl, A. Richardson, 2020, Geophysical Research Letters.

Linking Ocean-Atmosphere Dynamics to Precipitation-Vegetation Covariability

C. Tucker, M. Friedl, A. Lotsch, 2003 .

A Global Analysis of the Spatial and Temporal Variability of Usable Landsat Observations at the Pixel Scale

C. Woodcock, M. Friedl, P. Olofsson, 2022, Frontiers in Remote Sensing.

Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat

C. Woodcock, M. Friedl, P. Olofsson, 2022, Frontiers in Remote Sensing.

Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery

M. Friedl, A. Richardson, M. Moon, 2021, Remote Sensing of Environment.

A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites

M. Friedl, A. Richardson, T. Milliman, 2022, Scientific Data.

Senescence in Temperate Broadleaf Trees Exhibits Species-Specific Dependence on Photoperiod Versus Thermal Forcing

M. Friedl, A. Richardson, J. O'keefe, 2022, SSRN Electronic Journal.

Disentangling the Relative Drivers of Seasonal Evapotranspiration Across a Continental‐Scale Aridity Gradient

Andrew D. Richardson, S. Frolking, M. Friedl, 2022, Journal of Geophysical Research: Biogeosciences.

Widespread changes in 21st century vegetation cover in Argentina, Paraguay, and Uruguay

M. Friedl, P. Olofsson, J. Graesser, 2022, Remote Sensing of Environment.

Temporally-Consistent Annual Land Cover from Landsat Time Series in the Southern Cone of South America

M. Friedl, D. Abelleyra, S. Verón, 2022, Remote. Sens..

Accounting for Training Data Error in Machine Learning Applied to Earth Observations

Kelly K. Caylor, M. Friedl, J. Rogan, 2019, Remote. Sens..

Evaluating remote sensing with PhenoCam

M. Friedl, O. Sonnentag, A. Richardson, 2014 .

PhenoCam: A continental-scale observatory for monitoring the phenology of terrestrial vegetation

S. Frolking, Robert Pless, M. Friedl, 2011 .

A New Map of Global Urban Extent from MODIS Remote Sensing Data Based on an Urban Ecoregion Approach

Mark A. Friedl, Annemarie Schneider, M. Friedl, 2009 .

Global vegetation phenology from AVHRR and MODIS data

Alan H. Strahler, Mark A. Friedl, Crystal B. Schaaf, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments

Alan H. Strahler, Mark A. Friedl, Crystal B. Schaaf, 2005 .

Community impacts of mid-May frost event during an anomalously warm spring

M. Friedl, O. Sonnentag, A. Richardson, 2011 .

Urbanization and the loss of prime farmland: a case study in the Calgary–Edmonton corridor of Alberta

Mark A. Friedl, Ronald J. Hall, Federico Martellozzo, 2015, Regional Environmental Change.

Meeting the challenge of mapping peatlands with remotely sensed data

Dirk Pflugmacher, Mark A. Friedl, Warren B. Cohen, 2008 .

Machine learning based prediction of in-season crop type using multitemporal imagery

Mark A. Friedl, B. H. Braswell, S. Chakrabarti, 2019 .

Mapping Cropland Extent by Asynchronous Fusion of Optical and Active Microwave Imagery

Subit Chakrabarti, Tina Cormier, Nick Malizia, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Multidecadal Changes and Interannual Variation in Springtime Phenology of North American Temperate and Boreal Deciduous Forests

Damien Sulla-Menashe, Mark A. Friedl, Eli K. Melaas, 2018 .

Multi-criteria evaluation of the suitability of growth functions for modeling remotely sensed phenology

Mark A. Friedl, Nathan Phillips, M. Friedl, 2016 .

Tools for Generating Useful Time-series Data from PhenoCam Images

Mark A. Friedl, Tom Milliman, Andrew D. Richardson, 2012 .

Ecological impacts of a widespread frost event following early spring leaf‐out

Mark A. Friedl, Oliver Sonnentag, Andrew D. Richardson, 2012 .

Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements

Mark A. Friedl, Crystal B. Schaaf, M. Friedl, 2006 .

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

Damien Sulla-Menashe, Mark A. Friedl, Bin Tan, 2010 .

Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates

L. You, M. Friedl, Huajun Tang, 2021, Remote Sensing of Environment.

Digital repeat photography for phenological research in forest ecosystems

Mark A. Friedl, Oliver Sonnentag, Andrew D. Richardson, 2012 .

Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data

Mark A. Friedl, Steve Frolking, Dominik Wisser, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Global land cover mapping from MODIS: algorithms and early results

Alan H. Strahler, Mark A. Friedl, Crystal B. Schaaf, 2002 .

Spatio-temporal deconvolution of NDVI image sequences using independent component analysis

Mark A. Friedl, Alexander Lotsch, Jorge Pinzón, 2003, IEEE Trans. Geosci. Remote. Sens..

Mapping Asian Cropping Intensity With MODIS

Mark A. Friedl, Andrew Nelson, Muralikrishna Gumma, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Mapping Crop Cycles in China Using MODIS-EVI Time Series

Mark A. Friedl, Le Li, Yaozhong Pan, 2014, Remote. Sens..

Distance metric-based forest cover change detection using MODIS time series

Mark A. Friedl, Xiaoman Huang, M. Friedl, 2014, Int. J. Appl. Earth Obs. Geoinformation.

Global land-water mask derived from MODIS Nadir BRDF-adjusted reflectances (NBAR) and the MODIS land cover algorithm

Alan H. Strahler, Mark A. Friedl, Robert E. Wolfe, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

An Empirical Investigation of Convective Planetary Boundary Layer Evolution and Its Relationship with the Land Surface

M. Friedl, W. Kustas, J. Santanello, 2005 .

Seasonality in aerodynamic resistance across a range of North American ecosystems

P. Blanken, M. Friedl, D. Hollinger, 2021, Agricultural and Forest Meteorology.

Identifying and Eliminating Mislabeled Training Instances

Carla E. Brodley, Mark A. Friedl, C. Brodley, 1996, AAAI/IAAI, Vol. 1.

Using prior probabilities in decision-tree classification of remotely sensed data

Mark A. Friedl, D. K. McIver, M. Friedl, 2002 .

A conceptual model for effective directional emissivity from nonisothermal surfaces

Alan H. Strahler, Mark A. Friedl, Xiaowen Li, 1999, IEEE Trans. Geosci. Remote. Sens..

Disturbance suppresses the aboveground carbon sink in North American boreal forests

J. Randerson, A. Baccini, M. Friedl, 2021, Nature Climate Change.

Direct human influence on atmospheric CO2 seasonality from increased cropland productivity

Mark A. Friedl, Eric A. Kort, Steve Frolking, 2014, Nature.

Accounting for urban biogenic fluxes in regional carbon budgets.

M. Friedl, L. Hutyra, Jonathan A. Wang, 2017, The Science of the total environment.

Using FLUXNET data to improve models of springtime vegetation activity onset in forest ecosystems

Mark A. Friedl, Christopher M. Gough, Mathias Herbst, 2013 .

Remote Sensing of Seasonal Variation of Lai and Fapar in a Deciduous Broadleaf Forest

M. Friedl, J. W. Munger, T. G. Whitby, 2023, SSRN Electronic Journal.

The role of land cover change in Arctic-Boreal greening and browning trends

M. Friedl, Jonathan A. Wang, 2019, Environmental Research Letters.

Using time series of MODIS land surface phenology to model temperature and photoperiod controls on spring greenup in North American deciduous forests

M. Friedl, B. Seyednasrollah, M. Moon, 2021, Remote Sensing of Environment.

Accounting for Training Data Error in Machine

Kelly K. Caylor, M. Friedl, J. Rogan, 2020 .

Modification of surface energy balance during springtime: The relative importance of biophysical and meteorological changes

M. Friedl, Weilin Liao, Dan Li, 2020 .

Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset

S. Frolking, M. Friedl, A. Richardson, 2019, Scientific Data.

Maximizing land cover classification accuracies produced by decision trees at continental to global scales

Alan H. Strahler, Carla E. Brodley, Mark A. Friedl, 1999, IEEE Trans. Geosci. Remote. Sens..

A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data

Mark A. Friedl, Per Jönsson, Lars Eklundh, 2018, Remote. Sens..

MODIS tasseled cap transformation and its utility

Alan H. Strahler, Mark A. Friedl, Feng Gao, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Mapping urban areas using coarse resolution remotely sensed data

Mark A. Friedl, Curtis E. Woodcock, D. K. McIver, 2001, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482).

New approaches to classification in remote sensing using homogeneous and hybrid decision trees to map land cover

Alan H. Strahler, Carla E. Brodley, Mark A. Friedl, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface

Carla E. Brodley, Damien Sulla-Menashe, Mark A. Friedl, 2010, KDD.

Active Label Correction

Carla E. Brodley, Umaa Rebbapragada, Damien Sulla-Menashe, 2012, 2012 IEEE 12th International Conference on Data Mining.

forest ecosystem productivity Influence of spring and autumn phenological transitions on

P. Ciais, M. Friedl, D. Hollinger, 2011 .

A global land-cover validation data set, II: augmenting a stratified sampling design to estimate accuracy by region and land-cover class

Martin Herold, Pontus Olofsson, StephenV. Stehman, 2012 .

Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods

Mark A. Friedl, Douglas K. McIver, M. Friedl, 2001, IEEE Trans. Geosci. Remote. Sens..

Characterization of North American land cover from NOAA‐AVHRR data using the EOS MODIS Land Cover Classification Algorithm

Feng Gao, Alan H. Strahler, Mark A. Friedl, 2000 .

Reconstruction of Satellite Time Series With a Dynamic Smoother

M. Friedl, J. Graesser, R. Stanimirova, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Modeling biophysical controls on land surface temperature and reflectance in grasslands

Mark A. Friedl, M. Friedl, N. Morrow, 1998 .

Modeling area-averaged fluxes over partially vegetated land surfaces using aircraft and in-situ thermal data

M. Friedl, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

Modeling land surface fluxes using a sparse canopy model and radiometric surface temperature measurements

Mark A. Friedl, M. Friedl, 1995 .

Sensitivity of Global Pasturelands to Climate Variation

M. Friedl, P. Havlík, R. Kaufmann, 2019, Earth's Future.

An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms

Mark A. Friedl, Lars Eklundh, Per Jönsson, 2016, Remote. Sens..

Radost Stanimirova and Paulo Arévalo and Robert K. Kaufmann and Victor Wegner Maus and Myroslava Lesiv and Petr Havlík and Mark A. Friedl Sensitivity of global pasturelands to climate variation

M. Friedl, P. Havlík, R. Kaufmann, 2019 .

Improving the Consistency of Multitemporal Land Cover Maps Using a Hidden Markov Model

Mark A. Friedl, S. P. Abercrombie, S. Parker Abercrombie, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Mapping causal agents of disturbance in boreal and arctic ecosystems of North America using time series of Landsat data

C. Woodcock, M. Friedl, P. Olofsson, 2022, Remote Sensing of Environment.

Data simulation impacts on MODIS Land Cover Classification development

A. Strahler, M. Friedl, C. Schaaf, 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

Drought-induced vegetation stress in southwestern North America

Mark A. Friedl, Mitchell D. Goldberg, Jeffrey T. Morisette, 2010 .

Observations of Satellite Land Surface Phenology Indicate That Maximum Leaf Greenness Is More Associated With Global Vegetation Productivity Than Growing Season Length

M. Friedl, J. Gray, M. Moon, 2023, Global Biogeochemical Cycles.

A global land-cover validation data set, part I: fundamental design principles

Damien Sulla-Menashe, Martin Herold, Pontus Olofsson, 2012 .

Short communication Monitoring vegetation phenology using MODIS

A. Strahler, M. Friedl, A. Huete, 2003 .

Determination of Roughness Lengths for Heat and Momentum Over Boreal Forests

Mark A. Friedl, Rongqian Yang, M. Friedl, 2003 .

Land boundary conditions from MODIS data and consequences for the albedo of a climate model

Feng Gao, Mark A. Friedl, Ranga B. Myneni, 2004 .

Modeling the effects of three‐dimensional vegetation structure on surface radiation and energy balance in boreal forests

Mark A. Friedl, Rongqian Yang, M. Friedl, 2003 .

Mapping sub-pixel corn distribution using MODIS time-series data and a random forest regression model

Mark A. Friedl, Qiong Hu, Wenbin Wu, 2017, 2017 6th International Conference on Agro-Geoinformatics.

The MODIS land cover product: multi-attribute mapping of global vegetation and land cover properties from time series MODIS data

Alan H. Strahler, Mark A. Friedl, Xiaoyang Zhang, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Correlation Clustering for Learning Mixtures of Canonical Correlation Models

Carla E. Brodley, Mark A. Friedl, Xiaoli Z. Fern, 2005, SDM.

Publisher Correction: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset

S. Frolking, M. Friedl, A. Richardson, 2019, Scientific Data.

Parameterization of shortwave radiation fluxes for nonuniform vegetation canopies in land surface models

Mark A. Friedl, Wenge Ni, Rongqian Yang, 2001 .

Global land cover classification results from MODIS

Alan H. Strahler, Mark A. Friedl, Feng Gao, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Global land cover mapping from MODIS: algorithm design and preliminary results

Alan H. Strahler, Mark A. Friedl, Sucharita Gopal, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

Accounting for training data error in machine 2 learning applied to Earth observations

Kelly K. Caylor, M. Friedl, J. Rogan, 2020 .

Functional factor analysis for periodic remote sensing data

Surajit Ray, Giles Hooker, Chong Liu, 2012, 1206.6962.

Modeling directional effects from nonisothermal land surfaces in wideband thermal infrared measurements

Jindi Wang, Alan H. Strahler, Guangjian Yan, 2001, IEEE Trans. Geosci. Remote. Sens..

Need and vision for global medium-resolution Landsat and Sentinel-2 data products

C. Woodcock, M. Friedl, L. Lymburner, 2024, Remote Sensing of Environment.

Classification of urban areas at continental scales using remotely sensed data

A. Strahler, M. Friedl, A. Schneider, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change

M. Friedl, A. Richardson, T. Keenan, 2014 .

Relationships among Remotely Sensed Data, Surface Energy Balance, and Area-Averaged Fluxes over Partially Vegetated Land Surfaces

Mark A. Friedl, M. Friedl, 1996 .

Convective Planetary Boundary Layer Interactions with the Land Surface at Diurnal Time Scales: Diagnostics and Feedbacks

M. Friedl, M. Ek, J. Santanello, 2007 .

Monitoring of phenological control on ecosystem fluxes using digital cameras and eddy covariance data

S. Frolking, M. Friedl, O. Sonnentag, 2012 .

The role of surface energy fluxes in determining mixing layer heights

M. Friedl, D. Hollinger, N. Brunsell, 2023, Agricultural and Forest Meteorology.

Author Correction: Disturbance suppresses the aboveground carbon sink in North American boreal forests

J. Randerson, A. Baccini, M. Friedl, 2021, Nature Climate Change.