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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, 2015-12, Vol.214-215 (C), p.416-429

2015

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Decision tree classification of land cover from remotely sensed data

Remote sensing of environment, 1997-09, Vol.61 (3), p.399-409

1997

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Global land cover mapping from MODIS: algorithms and early results

Remote sensing of environment, 2002-11, Vol.83 (1), p.287-302

2002

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

IEEE transactions on geoscience and remote sensing, 2001-09, Vol.39 (9), p.1959-1968

2001

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

Remote sensing of environment, 2012-02, Vol.117, p.366-380

2012

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Sources of variation in radiometric surface temperature over a tallgrass prairie

Remote sensing of environment, 1994-04, Vol.48 (1), p.1-17

1994

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Drought and ecosystem carbon cycling

Agricultural and forest meteorology, 2011-07, Vol.151 (7), p.765-773

2011

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

IEEE transactions on geoscience and remote sensing, 2003-12, Vol.41 (12), p.2938-2942

2003

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

Global change biology, 2004-07, Vol.10 (7), p.1133-1145

2004

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

Biogeosciences, 2014-04, Vol.11 (8), p.2185-2200

2014

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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

Remote sensing of environment, 1995-12, Vol.54 (3), p.233-246

1995

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

International journal of remote sensing, 2012-01, Vol.33 (22), p.6975-6993

2012

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

Remote sensing of environment, 2002-02, Vol.79 (2), p.344-354

Friedl, M.A.

2002

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

Remote sensing of environment, 2002-08, Vol.81 (2), p.253-261

2002

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

IEEE transactions on geoscience and remote sensing, 1999-03, Vol.37 (2), p.969-977

1999

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

Photogrammetric engineering and remote sensing, 2007-08, Vol.73 (8), p.945-954

2007

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A global land cover validation dataset, I: Fundamental design principles

International journal of remote sensing, 2012, Vol.33 (18)

2012

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A conceptual model for effective directional emissivity from nonisothermal surfaces

IEEE transactions on geoscience and remote sensing, 1999-09, Vol.37 (5), p.2508-2517

1999

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6.06 - Remote Sensing of Croplands

Comprehensive Remote Sensing, 2018, p.78-95

Friedl, M.A.

2018

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Regression tree analysis of satellite and terrain data to guide vegetation sampling and surveys

Journal of vegetation science, 1994-11, Vol.5 (5), p.673-686

1994

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Modeling biophysical controls on land surface temperature and reflectance in grasslands

Agricultural and forest meteorology, 1998-10, Vol.92 (3), p.147-161

1998

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Generating High-Quality Training Data for Automated Land-Cover Mapping

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008, Vol.4, p.IV - 546-IV - 548

2008

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Local estimation of land cover classification quality using machine learning methods

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), 2000, Vol.7, p.3063-3065 vol.7

2000

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Monitoring the Extent and Intensity of Urban Areas Globally using the Fusion of MODIS 500m Resolution Satellite Imagery and Ancillary Data Sources

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008, Vol.5, p.V - 346-V - 349

2008

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Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003, Vol.4, p.2623-2625 vol.4

2003

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

Decision tree classification of land cover from remotely sensed data

Global land cover mapping from MODIS: algorithms and early results

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

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

Sources of variation in radiometric surface temperature over a tallgrass prairie

Drought and ecosystem carbon cycling

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

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

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

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

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

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

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

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

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

A global land cover validation dataset, I: Fundamental design principles

A conceptual model for effective directional emissivity from nonisothermal surfaces

6.06 - Remote Sensing of Croplands

Regression tree analysis of satellite and terrain data to guide vegetation sampling and surveys

Modeling biophysical controls on land surface temperature and reflectance in grasslands

Generating High-Quality Training Data for Automated Land-Cover Mapping

Local estimation of land cover classification quality using machine learning methods

Monitoring the Extent and Intensity of Urban Areas Globally using the Fusion of MODIS 500m Resolution Satellite Imagery and Ancillary Data Sources

Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data

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