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M. Thankappan · SciRah

Researcher profile · Semantic Scholar

M. Thankappan

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M. Thankappan — researcher profile on SciRah

h-index: 9
Works: 38
Citations: 575

Most-cited papers

A physics-based atmospheric and BRDF correction for Landsat data over mountainous terrain
Fu-Qin Li, D. Jupp, M. Thankappan, L. Lymburner +3 more
2012174 citations
Semantic Scholar
Rapid, high-resolution detection of environmental change over continental scales from satellite data – the Earth Observation Data Cube
A. Lewis, L. Lymburner, M. Purss, B. Brooke +12 more
2016International Journal of Digital Earth100 citations Open access
Semantic Scholar
Assessing the effect of hydrocarbon oil type and thickness on a remote sensing signal: A sensitivity study based on the optical properties of two different oil types and the HYMAP and Quickbird sensors
M. Wettle, P. Daniel, G. Logan, M. Thankappan
200995 citations
Semantic Scholar
Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data
C. Ticehurst, Zheng-Shu Zhou, E. Lehmann, F. Yuan +4 more
2019International Conference on Data Technologies and Applications23 citations Open access
Semantic Scholar
The SPECCHIO Spectral Information System
A. Hueni, L. Chisholm, C. Ong, T. Malthus +4 more
2020IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing22 citations Open access
Semantic Scholar
Improving BRDF normalisation for Landsat data using statistical relationships between MODIS BRDF shape and vegetation structure in the Australian continent
Fu-Qin Li, D. Jupp, M. Paget, P. Briggs +3 more
201719 citations Open access
Semantic Scholar
CEOS Analysis Ready Data For Land – An Overview on the Current and Future Work
Andreia Siqueira, T. Tadono, A. Rosenqvist, J. Lacey +8 more
2019IEEE International Geoscience and Remote Sensing Symposium18 citations
Semantic Scholar
Corner reflectors for the Australian Geophysical Observing System and support for calibration of satellite-borne synthetic aperture radars
M. Garthwaite, M. Thankappan, Mark L. Williams, S. Nancarrow +2 more
2013IEEE International Geoscience and Remote Sensing Symposium12 citations
Semantic Scholar
Review of Australian offshore natural hydrocarbon seepage studies
G. Logan, Andrew T. Jones, G. Ryan, M. Wettle +4 more
200811 citations
Semantic Scholar
Digital Earth Australia - from Satellite Data to Better Decisions
David Gavin, T. Dhu, S. Sagar, N. Mueller +7 more
2018IEEE International Geoscience and Remote Sensing Symposium9 citations
Semantic Scholar
Corner reflectors as the tie between InSAR and GNSS measurements: Case study of resource extraction in Australia
M. Garthwaite, S. Lawrie, J. Dawson, M. Thankappan
20159 citations Open access
Semantic Scholar
Issues in the application of Digital Surface Model data to correct the terrain illumination effects in Landsat images
Fu-Qin Li, D. Jupp, M. Thankappan
2015International Journal of Digital Earth9 citations Open access
Semantic Scholar
Applying machine learning methods and time series analysis to create a National Dynamic Land Cover Dataset for Australia
Peter Tan, L. Lymburner, N. Mueller, Fu-Qin Li +2 more
2013IEEE International Geoscience and Remote Sensing Symposium9 citations
Semantic Scholar
Mapping Cropping Practices Using MODIS Time Series: Harnessing the Data Explosion
Peter Tan, L. Lymburner, M. Thankappan, A. Lewis
20118 citations
Semantic Scholar
Choice of Solar Spectral Irradiance Model for Current and Future Remote Sensing Satellite Missions
Fu-Qin Li, D. Jupp, B. Markham, Ian C. Lau +6 more
2023Remote Sensing6 citations Open access
Semantic Scholar
Dynamic Land Cover Dataset version 2: 2001-now…a land cover odyssey
L. Lymburner, Peter Tan, A. McIntyre, A. Lewis +1 more
2013IEEE International Geoscience and Remote Sensing Symposium6 citations
Semantic Scholar
ASSESSMENT OF SAR OCEAN FEATURES USING OPTICAL AND MARINE SURVEY DATA
M. Thankappan, N. Rollet, Craig Smith, Andrew T. Jones +2 more
20076 citations
Semantic Scholar
Validation of MODIS and AVHRR Fire Detections in Australia
A. Forghani, M. Thankappan, B. Cechet
2021International Journal of Geoinformatics5 citations Open access
Semantic Scholar
Characteristics of MODIS BRDF shape and its relationship with land cover classes in Australia
Fu-Qin Li, D. Jupp, L. Lymburner, M. Thankappan +2 more
20135 citations
Semantic Scholar
Continental Scale Validation of Analysis Ready Data in Australia: Experience With Satellite Derived Surface Reflectance
M. Thankappan, G. Byrne, A. Walsh, Fu-Qin Li +3 more
2019IEEE International Geoscience and Remote Sensing Symposium4 citations
Semantic Scholar
Validating Digital Earth Australia NBART for the Landsat 9 Underfly of Landsat 8
G. Byrne, M. Broomhall, Andrew J. Walsh, M. Thankappan +10 more
2024Remote Sensing3 citations Open access
Semantic Scholar
Concept of a Satellite Cross-Calibration Radiometer for In-Orbit Calibration of Commercial Optical Satellites
M. Thankappan, J. Christopherson, S. Cantrell, Robert E. Ryan +9 more
2024Remote Sensing3 citations Open access
Semantic Scholar
Creating multi-sensor time series using data from Landsat-5 TM and Landsat-7 ETM+ to characterise vegetation dynamics
L. Lymburner, A. McIntyre, Fu-Qin Li, Alex Ip +2 more
2013IEEE International Geoscience and Remote Sensing Symposium3 citations
Semantic Scholar
The variability of satellite derived surface BRDF shape over Australia from 2001 to 2011
Fu-Qin Li, D. Jupp, M. Thankappan, M. Paget +2 more
2013IEEE International Geoscience and Remote Sensing Symposium3 citations
Semantic Scholar
Validating Landsat and Sentinel-2 Analysis Ready Data with Uav-Mounted Spectrometers
M. Broomhall, G. Byrne, Eric Hay, M. Thankappan +1 more
2022IEEE International Geoscience and Remote Sensing Symposium2 citations
Semantic Scholar
CEOS Analysis Ready Data for Land: Implementation Phase and Next Steps
Andreia Siqueira, A. Lewis, M. Thankappan, Z. Szantoi +8 more
2020IEEE International Geoscience and Remote Sensing Symposium2 citations
Semantic Scholar
Evaluation of TerraSAR-X for Natural Oil Seep Studies
M. Thankappan, G. Logan, Magnus Wettle, S. Reddy +1 more
20092 citations
Semantic Scholar
Platform for Environmental Modelling Support : a Grid Cell Data Infrastructure for Modellers
Tai O. Chan, C. Beverly, S. Ebert, Nichola Garnett +4 more
20082 citations
Semantic Scholar
Analysis Ready Data Sensitivity Analyses
Lan-Wei Wang, Fu-Qin Li, Imam Alam, D. Jupp +2 more
2019IEEE International Geoscience and Remote Sensing Symposium1 citations
Semantic Scholar
THE Development of a Standardised Validation Approach for Surface Reflectance Data
C. Ong, T. Malthus, Ian C. Lau, M. Thankappan +1 more
2018IEEE International Geoscience and Remote Sensing Symposium1 citations
Semantic Scholar
An audit of satellite calibration and validation facilities and activities in Australia
T. Malthus, Vanessa Karpouzli, M. Thankappan, A. Dekker +1 more
20141 citations
Semantic Scholar
A Comparison of Bathymetric Signatures Observed on ERS SAR and LANDSAT TM Images Over the Timor Sea
M. Thankappan, Craig Smith
20091 citations
Semantic Scholar
Access to satellite data for time-critical applications: STAR and SPOT-LITE.
M. Thankappan
20011 citations
Semantic Scholar
Evaluation of the TanDEM-X intermediate DEM for terrain illumination correction in Landsat data
Fu-Qin Li, D. Jupp, M. Thankappan, Lan-Wei Wang +2 more
2016IEEE International Geoscience and Remote Sensing Symposium0 citations
Semantic Scholar
Monitoring Coastal Change Dynamics Using Multi-Decadal Moderate Resolution Earth Observation Data
L. Lymburner, S. Sagar, M. Thankappan, S. Fyfe +4 more
20160 citations
Semantic Scholar
A surface cover change detection method based on the Australian Geoscience Data Cube
Peter Tan, S. Sagar, N. Mueller, L. Lymburner +2 more
20150 citations Open access
Semantic Scholar
Land surface brightness temperature retrieved from Landsat data
Fu-Qin Li, D. Jupp, M. Thankappan, J. Sixsmith +2 more
20150 citations Open access
Semantic Scholar
Floodplain health in 4d: linking time series vegetation analysis with geomorphology and hydrogeology
K. Lawrie, V. Wong, M. Thankappan, K. Cullen +2 more
20080 citations
Semantic Scholar

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