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Bolton, DK; Gray, JM; Melaas, EK; Moon, M; Eklundh, L; Friedl, MA (2020). Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery. REMOTE SENSING OF ENVIRONMENT, 240, 111685.


Moon, M; Zhang, XY; Henebry, GM; Liu, LL; Gray, JM; Melaas, EK; Friedl, MA (2019). Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products. REMOTE SENSING OF ENVIRONMENT, 226, 74-92.

Stanimirova, R; Arevalo, P; Kaufmann, RK; Maus, V; Lesiv, M; Havlik, P; Friedl, MA (2019). Sensitivity of Global Pasturelands to Climate Variation. EARTHS FUTURE, 7(12), 1353-1366.

Stanimirova, R; Cai, ZZ; Melaas, EK; Gray, JM; Eklundh, L; Jonsson, P; Friedl, MA (2019). An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms. REMOTE SENSING, 11(19).

Sulla-Menashe, D; Gray, JM; Abercrombie, SP; Friedl, MA (2019). Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product. REMOTE SENSING OF ENVIRONMENT, 222, 183-194.


Jonsson, P; Cai, ZZ; Melaas, E; Friedl, MA; Eklundh, L (2018). A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data. REMOTE SENSING, 10(4), 635.

Klosterman, S; Melaas, E; Wang, JA; Martinez, A; Frederick, S; O'Keefe, J; Orwig, DA; Wang, ZS; Sun, QS; Schaaf, C; Friedl, M; Richardson, AD (2018). Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography. AGRICULTURAL AND FOREST METEOROLOGY, 248, 397-407.

Zhang, XY; Jayavelu, S; Liu, LL; Friedl, MA; Henebry, GM; Liu, Y; Schaaf, CB; Richardson, AD; Gray, J (2018). Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery. AGRICULTURAL AND FOREST METEOROLOGY, 256, 137-149.

Zhang, XY; Liu, LL; Liu, Y; Jayavelu, S; Wang, JM; Moon, M; Henebry, GM; Friedl, MA; Schaaf, CB (2018). Generation and evaluation of the VIIRS land surface phenology product. REMOTE SENSING OF ENVIRONMENT, 216, 212-229.


Zhang, XY; Wang, JM; Gao, F; Liu, Y; Schaaf, C; Friedl, M; Yu, YY; Jayavelu, S; Gray, J; Liu, LL; Yan, D; Henebry, GM (2017). Exploration of scaling effects on coarse resolution land surface phenology. REMOTE SENSING OF ENVIRONMENT, 190, 318-330.


Abercrombie, SP; Friedl, MA (2016). Improving the Consistency of Multitemporal Land Cover Maps Using a Hidden Markov Model. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 54(2), 703-713.

Chen, M; Melaas, EK; Gray, JM; Friedl, MA; Richardson, AD (2016). A new seasonal-deciduous spring phenology submodel in the Community Land Model 4.5: impacts on carbon and water cycling under future climate scenarios. GLOBAL CHANGE BIOLOGY, 22(11), 3675-3688.

Huang, XM; Schneider, A; Friedl, MA (2016). Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights. REMOTE SENSING OF ENVIRONMENT, 175, 92-108.

Melaas, EK; Friedl, MA; Richardson, AD (2016). Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States. GLOBAL CHANGE BIOLOGY, 22(2), 792-805.

Verma, M; Friedl, MA; Finzi, AC; Phillips, N (2016). Multi-criteria evaluation of the suitability of growth functions for modeling remotely sensed phenology. ECOLOGICAL MODELLING, 323, 123-132.


Salmon, J. Meghan; Friedl, Mark A.; Frolking, Steve; Wisser, Dominik; Douglas, Ellen M. (2015). Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 38, 321-334.


Cai, Shanshan; Liu, Desheng; Sulla-Menashe, Damien; Friedl, Mark A. (2014). Enhancing MODIS land cover product with a spatial-temporal modeling algorithm. REMOTE SENSING OF ENVIRONMENT, 147, 243-255.

Glanz, Hunter; Carvalho, Luis; Sulla-Menashe, Damien; Friedl, Mark A. (2014). A parametric model for classifying land cover and evaluating training data based on multi-temporal remote sensing data. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 97, 219-228.

Gray, Josh; Friedl, Mark; Frolking, Steve; Ramankutty, Navin; Nelson, Andrew; Gumma, Murali Krishna (2014). Mapping Asian Cropping Intensity With MODIS. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 7(8), 3373-3379.

Keenan, T. F.; Darby, B.; Felts, E.; Sonnentag, O.; Friedl, M. A.; Hufkens, K.; O'Keefe, J.; Klosterman, S.; Munger, J. W.; Toomey, M.; Richardson, A. D. (2014). Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment. ECOLOGICAL APPLICATIONS, 24(6), 1478-1489.

Li, Le; Friedl, Mark A.; Xin, Qinchuan; Gray, Josh; Pan, Yaozhong; Frolking, Steve (2014). Mapping Crop Cycles in China Using MODIS-EVI Time Series. REMOTE SENSING, 6(3), 2473-2493.

Sulla-Menashe, Damien; Kennedy, Robert E.; Yang, Zhiqiang; Braaten, Justin; Krankina, Olga N.; Friedl, Mark A. (2014). Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal segmentation. REMOTE SENSING OF ENVIRONMENT, 151, 114-123.

Verma, M.; Friedl, M. A.; Richardson, A. D.; Kiely, G.; Cescatti, A.; Law, B. E.; Wohlfahrt, G.; Gielen, B.; Roupsard, O.; Moors, E. J.; Toscano, P.; Vaccari, P.; Gianelle, D.; Bohrer, G.; Varlagin, A.; Buchmann, N.; van Gorsel, E.; Montagnani, L.; Propastin, P. (2014). Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set. BIOGEOSCIENCES, 11(8), 2185-2200.


Melaas, EK; Richardson, AD; Friedl, MA; Dragoni, D; Gough, CM; Herbst, M; Montagnani, L; Moors, E (2013). Using FLUXNET data to improve models of springtime vegetation activity onset in forest ecosystems. AGRICULTURAL AND FOREST METEOROLOGY, 171, 46-56.


Hufkens, K; Friedl, M; Sonnentag, O; Braswell, BH; Milliman, T; Richardson, AD (2012). Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology. REMOTE SENSING OF ENVIRONMENT, 117, 307-321.

Hufkens, K; Friedl, MA; Keenan, TF; Sonnentag, O; Bailey, A; O'Keefe, J; Richardson, AD (2012). Ecological impacts of a widespread frost event following early spring leaf-out. GLOBAL CHANGE BIOLOGY, 18(7), 2365-2377.



Sulla-Menashe, D; Friedl, MA; Krankina, ON; Baccini, A; Woodcock, CE; Sibley, A; Sun, GQ; Kharuk, V; Elsakov, V (2011). Hierarchical mapping of Northern Eurasian land cover using MODIS data. REMOTE SENSING OF ENVIRONMENT, 115(2), 392-403.


Friedl, MA, Sulla-Menashe, D, Tan, B, Schneider, A, Ramankutty, N, Sibley, A, Huang, XM (2010). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. REMOTE SENSING OF ENVIRONMENT, 114(1), 168-182.

Ganguly, S, Friedl, MA, Tan, B, Zhang, XY, Verma, M (2010). Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product. REMOTE SENSING OF ENVIRONMENT, 114(8), 1805-1816.

Schneider, A, Friedl, MA, Potere, D (2010). Mapping global urban areas using MODIS 500-m data: New methods and datasets based on 'urban ecoregions'. REMOTE SENSING OF ENVIRONMENT, 114(8), 1733-1746.


Schneider, A, Friedl, MA, Potere, D (2009). A new map of global urban extent from MODIS satellite data. ENVIRONMENTAL RESEARCH LETTERS, 4(4), 44003.

Zhang, X, Friedl, M, Schaaf, C (2009). Sensitivity of vegetation phenology detection to the temporal resolution of satellite data. INTERNATIONAL JOURNAL OF REMOTE SENSING, 30(8), 2061-2074.


Krankina, ON, Pflugmacher, D, Friedl, M, Cohen, WB, Nelson, P, Baccini, A (2008). Meeting the challenge of mapping peatlands with remotely sensed data. BIOGEOSCIENCES, 5(6), 1809-1820.

Ordoyne, C, Friedl, MA (2008). Using MODIS data to characterize seasonal inundation patterns in the Florida Everglades. REMOTE SENSING OF ENVIRONMENT, 112(11), 4107-4119.


Baccini, A, Friedl, MA, Woodcock, CE, Zhu, Z (2007). Scaling field data to calibrate and validate moderate spatial resolution remote sensing models. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 73(8), 945-954.


Zhang, XY, Friedl, MA, Schaaf, CB (2006). Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 111(G4), G04017.


Zhang, XY, Friedl, MA, Schaaf, CB, Strahler, AH, Liu, Z (2005). Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 110(D12), D12103.


Tian, Y, Dickinson, RE, Zhou, L, Myneni, RB, Friedl, M, Schaaf, CB, Carroll, M, Gao, F (2004). Land boundary conditions from MODIS data and consequences for the albedo of a climate model. GEOPHYSICAL RESEARCH LETTERS, 31(5), L05504.

Tian, Y, Dickinson, RE, Zhou, L, Zeng, X, Dai, Y, Myneni, RB, Knyazikhin, Y, Zhang, X, Friedl, M, Yu, II, Wu, W, Shaikh, M (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. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 109(D1), D01103.

Zhang, XY, Friedl, MA, Schaaf, CB, Strahler, AH (2004). Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data. GLOBAL CHANGE BIOLOGY, 10(7), 1133-1145.

Zhang, XY, Friedl, MA, Schaaf, CB, Strahler, AH, Schneider, A (2004). The footprint of urban climates on vegetation phenology. GEOPHYSICAL RESEARCH LETTERS, 31(12), L12209.


Lotsch, A, Tian, Y, Friedl, MA, Myneni, RB (2003). Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: classification methods and sensitivities to errors. INTERNATIONAL JOURNAL OF REMOTE SENSING, 24(10), 1997-2016.

Schneider, A, Friedl, MA, Mciver, DK, Woodcock, CE (2003). Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 69(12), 1377-1386.

Zhang, XY, Friedl, MA, Schaaf, CB, Strahler, AH, Hodges, JCF, Gao, F, Reed, BC, Huete, A (2003). Monitoring vegetation phenology using MODIS. REMOTE SENSING OF ENVIRONMENT, 84(3), 471-475.


Friedl, MA, McIver, DK, Hodges, JCF, Zhang, XY, Muchoney, D, Strahler, AH, Woodcock, CE, Gopal, S, Schneider, A, Cooper, A, Baccini, A, Gao, F, Schaaf, C (2002). Global land cover mapping from MODIS: algorithms and early results. REMOTE SENSING OF ENVIRONMENT, 83(2-Jan), 287-302.

Myneni, RB, Hoffman, S, Knyazikhin, Y, Privette, JL, Glassy, J, Tian, Y, Wang, Y, Song, X, Zhang, Y, Smith, GR, Lotsch, A, Friedl, M, Morisette, JT, Votava, P, Nemani, RR, Running, SW (2002). Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. REMOTE SENSING OF ENVIRONMENT, 83(2-Jan), 214-231.


Friedl, MA, Muchoney, D, McIver, D, Gao, F, Hodges, JCF, Strahler, AH (2000). Characterization of North American land cover from NOAA-AVHRR data using the EOS MODIS land cover classification algorithm. GEOPHYSICAL RESEARCH LETTERS, 27(7), 977-980.

Muchoney, D, Borak, J, Chi, H, Friedl, M, Gopal, S, Hodges, J, Morrow, N, Strahler, A (2000). Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America. INTERNATIONAL JOURNAL OF REMOTE SENSING, 21(7-Jun), 1115-1138.