Publications
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Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study
Cross-calibration of satellite sensors permits the quantitative comparison of measurements obtained from different Earth Observing (EO) systems. Cross-calibration studies usually use simultaneous or near-simultaneous observations from several spaceborne sensors to develop band-by-band relationships through regression analysis. The investigation described in this paper focuses on evaluation of the
Authors
G. Chander, D. L. Helder, David Aaron, N. Mishra, A.K. Shrestha
Applications of spectral band adjustment factors (SBAF) for cross-calibration
To monitor land surface processes over a wide range of temporal and spatial scales, it is critical to have coordinated observations of the Earth's surface acquired from multiple spaceborne imaging sensors. However, an integrated global observation framework requires an understanding of how land surface processes are seen differently by various sensors. This is particularly true for sensors acquiri
Authors
Gyanesh Chander
Overview of intercalibration of satellite instruments
Inter-calibration of satellite instruments is critical for detection and quantification of changes in the Earth’s environment, weather forecasting, understanding climate processes, and monitoring climate and land cover change. These applications use data from many satellites; for the data to be inter-operable, the instruments must be cross-calibrated. To meet the stringent needs of such applicatio
Authors
G. Chander, T.J. Hewison, N. Fox, X. Wu, X. Xiong, W.J. Blackwell
Landsat Data Continuity Mission, now Landsat-8: six months on-orbit
The Landsat Data Continuity Mission (LDCM) with two pushbroom Earth-imaging sensors, the Operational Land Imager (OLI) and the Thermal InfraRed Sensor (TIRS), was launched on February 11, 2013. Its on-orbit check out period or commissioning phase lasted about 90 days. During this phase the spacecraft and its instruments were activated, operationally tested and their performance verified. In additi
Authors
Brian L. Markham, James C. Storey, James R. Irons
Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data
This study provides a baseline quality check on provisional Landsat Surface Reflectance (SR) products as generated by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software. Characterization of the Landsat SR products leveraged comparisons between aerosol optical thickness derived from
Authors
Tom Maiersperger, Pat Scaramuzza, Larry Leigh, S. Shrestha, Kevin Gallo, Calli B. Jenkerson, John L. Dwyer
Foreword to the special issue on intercalibration of satellite instruments
This forty papers in this special issue focus on how intercalibration and comparison between sensors can provide an effective and convenient means of verifying their postlaunch performance and correcting their measurement differences.
Authors
Gyanesh Chander, T.J. Hewison, Nigel Fox, Xiangqian Wu, Xiaoxiong Xiong, William J. Blackwell
Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands
In recent years, there has been a significant increase in the use of remotely sensed data to address global issues. With the open data policy, the data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) sensors have become a critical component of numerous applications. These two sensors have been operational for more than a decade, providing a r
Authors
Amit Angal, Xiaoxiong Xiong, Aisheng Wu, Gyanesh Chander, Taeyoung Choi
Landsat 4 Thematic Mapper calibration update
The Landsat 4 Thematic Mapper (TM) collected imagery of the Earth's surface from 1982 to 1993. Although largely overshadowed by Landsat 5 which was launched in 1984, Landsat 4 TM imagery extends the TM-based record of the Earth back to 1982 and also substantially supplements the image archive collected by Landsat 5. To provide a consistent calibration record for the TM instruments, Landsat 4 TM wa
Authors
Dennis L. Helder, Rimy Malla, Cory J. Mettler, Brian L. Markham, Esad Micijevic
The next Landsat satellite: The Landsat Data Continuity Mission
The National Aeronautics and Space Administration (NASA) and the Department of Interior United States Geological Survey (USGS) are developing the successor mission to Landsat 7 that is currently known as the Landsat Data Continuity Mission (LDCM). NASA is responsible for building and launching the LDCM satellite observatory. USGS is building the ground system and will assume responsibility for sat
Authors
James R. Irons, John L. Dwyer, Julia A. Barsi
Complementarity of ResourceSat-1 AWiFS and Landsat TM/ETM+ sensors
Considerable interest has been given to forming an international collaboration to develop a virtual moderate spatial resolution land observation constellation through aggregation of data sets from comparable national observatories such as the US Landsat, the Indian ResourceSat and related systems. This study explores the complementarity of India's ResourceSat-1 Advanced Wide Field Sensor (AWiFS) w
Authors
S.N. Goward, G. Chander, M. Pagnutti, A. Marx, R. Ryan, N. Thomas, R. Tetrault
Landsat-7 ETM+: 12 years on-orbit reflective-band radiometric performance
The Landsat-7 ETM+ sensor has been operating on orbit for more than 12 years, and characterizations of its performance have been ongoing over this period. In general, the radiometric performance of the instrument has been remarkably stable: 1) noise performance has degraded by 2% or less overall, with a few detectors displaying step changes in noise of 2% or less; 2) coherent noise frequencies and
Authors
B. L. Markham, M.O. Haque, J. A. Barsi, E. Micijevic, D. L. Helder, K. J. Thome, David Aaron, J. S. Czapla-Myers
Development of the Landsat Data Continuity Mission cloud-cover assessment algorithms
The upcoming launch of the Operational Land Imager (OLI) will start the next era of the Landsat program. However, the Automated Cloud-Cover Assessment (CCA) (ACCA) algorithm used on Landsat 7 requires a thermal band and is thus not suited for OLI. There will be a thermal instrument on the Landsat Data Continuity Mission (LDCM)-the Thermal Infrared Sensor-which may not be available during all OLI c
Authors
Pat Scaramuzza, M.A. Bouchard, John L. Dwyer