Feng Gao

Orcid: 0000-0002-1865-2846

Affiliations:

US Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA (2004 - 2011)
Earth Resources Technology, Inc., Laurel, MD, USA (2004 - 2011)
Boston University, Department of Geography / Center for Remote Sensing, MA, USA (1998 - 2004)
Beijing Normal University, China (PhD 1998)

According to our database¹, Feng Gao authored at least 82 papers between 2002 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Decreased Latency in Landsat Derived Evapotranspiration Products Using Machine Learning on Google Earth Engine.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Agro-Geoinformatics, 2024

Retiming Evaporative Stress Index to Vegetation Phenology in Iowa Croplands.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Agro-Geoinformatics, 2024

Enhancing Grazing land Analysis through Integrated Earth Observation and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Agro-Geoinformatics, 2024

2023

Comparing NISAR (Using Sentinel-1), USDA/NASS CDL, and Ground Truth Crop/Non-Crop Areas in an Urban Agricultural Region.

[BibT_eX]

[DOI]

Sensors, October, 2023

Comparison of Five Spectral Indices and Six Imagery Classification Techniques for Assessment of Crop Residue Cover Using Four Years of Landsat Imagery.

[BibT_eX]

[DOI]

Remote. Sens., September, 2023

ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards.

[BibT_eX]

[DOI]

Remote. Sens., February, 2023

Evaluation of Partitioned Evaporation and Transpiration Estimates within the DisALEXI Modeling Framework over Irrigated Crops in California.

[BibT_eX]

[DOI]

Oscar Rosario Belfiore

Sebastian J. Castro

Maria Mar Alsina

Sebastian Saa

Remote. Sens., January, 2023

Towards Scalable Within-Season Crop Mapping With Phenology Normalization and Deep Learning.

[BibT_eX]

[DOI]

Zijun Yang

Chunyuan Diao

Feng Gao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

An Operational Data-Driven Framework For Developing High-Resolution Leaf Area Index Products.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Improved Daily Evapotranspiration Estimation Using Remotely Sensed Data in a Data Fusion System.

[BibT_eX]

[DOI]

Remote. Sens., 2022

2021

Mapping Daily Evapotranspiration at Field Scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard.

[BibT_eX]

[DOI]

Guido D'Urso

Salvatore Falanga Bolognesi

Oscar Rosario Belfiore

Remote. Sens., 2021

Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management.

[BibT_eX]

[DOI]

Maria P. González-Dugo

Remote. Sens., 2021

2020

Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Assessment of Leaf Area Index Models Using Harmonized Landsat and Sentinel-2 Surface Reflectance Data over a Semi-Arid Irrigated Landscape.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Detecting Cover Crop End-Of-Season Using VENµS and Sentinel-2 Satellite Imagery.

[BibT_eX]

[DOI]

Feng Gao

Martha C. Anderson

Wells Dean Hively

Remote. Sens., 2020

2019

Crop Growth Condition Assessment at County Scale Based on Heat-Aligned Growth Stages.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Mapping Climatological Bare Soil Albedos over the Contiguous United States Using MODIS Data.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Using Daily Stand-Scale Evapotranspiration (ET) Estimated From Remotely Sensed Data to Investigate Drought Impact on ET in a Temporate Forest in the Central Us.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Evaluating Yield Variability of Corn and Soybean Using Landsat-8, Sentinel-2 and Modis in Google Earth Engine.

[BibT_eX]

[DOI]

Feng Gao

Martha C. Anderson

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images.

[BibT_eX]

[DOI]

Sensors, 2018

The Retrieval of 30-m Resolution LAI from Landsat Data by Combining MODIS Products.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Improving Spatial-Temporal Data Fusion by Choosing Optimal Input Image Pairs.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Real-Time Monitoring of Crop Phenology in the Midwestern United States Using VIIRS Observations.

[BibT_eX]

[DOI]

Remote. Sens., 2018

A Hybrid Color Mapping Approach to Fusing MODIS and Landsat Images for Forward Prediction.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Using APAR to Predict Aboveground Plant Productivity in Semi-Arid Rangelands: Spatial and Temporal Relationships Differ.

[BibT_eX]

[DOI]

Rowan Gaffney

Lauren M. Porensky

Feng Gao

Jorge Gonzalo N. Irisarri

Martín Durante

Justin D. Derner

David J. Augustine

Remote. Sens., 2018

Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing.

[BibT_eX]

[DOI]

Josué Medellín-Azuara

William P. Kustas

Remote. Sens., 2018

Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2018

Assessment of Predictive Ability of Starfm Based on Different Modis-Landsat Image Pair Date.

[BibT_eX]

[DOI]

Donghui Xie

Feng Gao

Linyuan Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Impact of Tile Drainage on Evapotranspiration in South Dakota, USA, Based on High Spatiotemporal Resolution Evapotranspiration Time Series From a Multisatellite Data Fusion System.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards.

[BibT_eX]

[DOI]

Remote. Sens., 2017

Modeling the Effects of the Urban Built-Up Environment on Plant Phenology Using Fused Satellite Data.

[BibT_eX]

[DOI]

Norman Gervais

Alexander Buyantuev

Feng Gao

Remote. Sens., 2017

Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data.

[BibT_eX]

[DOI]

Comput. Geosci., 2017

Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product.

[BibT_eX]

[DOI]

Zhuosen Wang

Crystal Barker Schaaf

Int. J. Appl. Earth Obs. Geoinformation, 2017

Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards.

[BibT_eX]

[DOI]

Alfonso F. Torres-Rua

Lawrence Hipps

Manal Elarab

Lisheng Song

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Evaluation of ASTER-Like Daily Land Surface Temperature by Fusing ASTER and MODIS Data during the HiWATER-MUSOEXE.

[BibT_eX]

[DOI]

Remote. Sens., 2016

A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI).

[BibT_eX]

[DOI]

Rasmus Houborg

Matthew F. McCabe

Feng Gao

Int. J. Appl. Earth Obs. Geoinformation, 2016

Study of water use in agricultural landscapes at high spatiotemporal resulotion.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Longterm daily fieldscale evapotranspiration estimation using multisatellite data fusion in an intensively drained agricultural area in South Dakota, USA.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Daily mapping of Landsat-like LAI and correlation to grape yield.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Spatial and temporal information fusion for crop condition monitoring.

[BibT_eX]

[DOI]

Feng Gao

Martha C. Anderson

Donghui Xie

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Mapping evapotranspiration at multiple scales using multi-sensor data fusion.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Coupling of phenological information and synthetically generated time-series for crop types as indicator for vegetation coverage information.

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

Evaluating the temporal stability of synthetically generated time-series for crop types in Central Germany.

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

Downscaling of coarse resolution LAI products to achieve both high spatial and temporal resolution for regions of interest.

[BibT_eX]

[DOI]

Rasmus Houborg

Matthew F. McCabe

Feng Gao

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Operational Data Fusion Framework for Building Frequent Landsat-Like Imagery.

[BibT_eX]

[DOI]

Peijuan Wang

Feng Gao

Jeffrey G. Masek

IEEE Trans. Geosci. Remote. Sens., 2014

A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest.

[BibT_eX]

[DOI]

Crystal Barker Schaaf

Bin Tan

Jeffrey T. Morisette

Xiaoyang Zhang

IEEE Trans. Geosci. Remote. Sens., 2014

Angular Effects and Correction for Medium Resolution Sensors to Support Crop Monitoring.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Retrieving Leaf Area Index From Landsat Using MODIS LAI Products and Field Measurements.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

2013

Use of In Situ and Airborne Multiangle Data to Assess MODIS- and Landsat-Based Estimates of Directional Reflectance and Albedo.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2013

2012

A Data Mining Approach for Sharpening Thermal Satellite Imagery over Land.

[BibT_eX]

[DOI]

Feng Gao

William P. Kustas

Martha C. Anderson

Remote. Sens., 2012

A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2012

Adaptive Selective Learning for automatic identification of sub-kilometer craters.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges.

[BibT_eX]

[DOI]

Int. J. Digit. Earth, 2012

Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data.

[BibT_eX]

[DOI]

Joanne M. Nightingale

Jeffrey A. Pedelty

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011

2010

An illumination correction algorithm on Landsat-TM data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Normalizing Landsat and ASTER data using MODIS data products for forest change detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Development of time series stacks of Landsat images for reconstructing forest disturbance history.

[BibT_eX]

[DOI]

Jeffery C. Eidenshink

John R. Townshend

Int. J. Digit. Earth, 2009

2008

An Algorithm to Produce Temporally and Spatially Continuous MODIS-LAI Time Series.

[BibT_eX]

[DOI]

Joanne M. Nightingale

IEEE Geosci. Remote. Sens. Lett., 2008

Vegetation Phenology Metrics Derived from Temporally Smoothed and Gap-Filled MODIS Data.

[BibT_eX]

[DOI]

Joanne M. Nightingale

Jeffrey A. Pedelty

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

An Angular Index to Indicate Surface Heterogeneous Behaviors from MODIS.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007

Improving access to MODIS biophysical science products for NACP investigators.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2006

Validation of the MODIS bidirectional reflectance distribution function and albedo retrievals using combined observations from the aqua and terra platforms.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2006

On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance.

[BibT_eX]

[DOI]

Feng Gao