David Thau
Title
Cited by
Cited by
Year
High-resolution global maps of 21st-century forest cover change
MC Hansen, PV Potapov, R Moore, M Hancher, SA Turubanova, ...
science 342 (6160), 850-853, 2013
60572013
Google Earth Engine: Planetary-scale geospatial analysis for everyone
N Gorelick, M Hancher, M Dixon, S Ilyushchenko, D Thau, R Moore
Remote sensing of Environment 202, 18-27, 2017
20982017
An ecoregion-based approach to protecting half the terrestrial realm
E Dinerstein, D Olson, A Joshi, C Vynne, ND Burgess, E Wikramanayake, ...
BioScience 67 (6), 534-545, 2017
3952017
Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
J Dong, X Xiao, MA Menarguez, G Zhang, Y Qin, D Thau, C Biradar, ...
Remote sensing of environment 185, 142-154, 2016
2722016
A scalable satellite-based crop yield mapper
DB Lobell, D Thau, C Seifert, E Engle, B Little
Remote Sensing of Environment 164, 324-333, 2015
2122015
Distribution and dynamics of mangrove forests of South Asia
C Giri, J Long, S Abbas, RM Murali, FM Qamer, B Pengra, D Thau
Journal of environmental management 148, 101-111, 2015
1992015
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
J Xiong, PS Thenkabail, MK Gumma, P Teluguntla, J Poehnelt, ...
ISPRS Journal of Photogrammetry and Remote Sensing 126, 225-244, 2017
1862017
The global distribution and trajectory of tidal flats
NJ Murray, SR Phinn, M DeWitt, R Ferrari, R Johnston, MB Lyons, ...
Nature 565 (7738), 222-225, 2019
1112019
& Kommareddy, A.(2013). High-resolution global maps of 21st-century forest cover change
MC Hansen, PV Potapov, R Moore, M Hancher, SA Turubanova, ...
Science 342 (6160), 850-853, 0
82
Building a better urban picture: Combining day and night remote sensing imagery
Q Zhang, B Li, D Thau, R Moore
Remote Sensing 7 (9), 11887-11913, 2015
462015
Reasoning about taxonomies in first-order logic
D Thau, B Ludäscher
Ecological Informatics 2 (3), 195-209, 2007
292007
EEFlux: A Landsat-based Evapotranspiration mapping tool on the Google Earth Engine
RG Allen, C Morton, B Kamble, A Kilic, J Huntington, D Thau, N Gorelick, ...
2015 ASABE/IA Irrigation Symposium: Emerging Technologies for Sustainable …, 2015
252015
Lifting the information barriers to address sustainability challenges with data from physical geography and earth observation
A Lehmann, R Chaplin-Kramer, M Lacayo, G Giuliani, D Thau, K Koy, ...
Sustainability 9 (5), 858, 2017
232017
Merging taxonomies under RCC-5 algebraic articulations
D Thau, S Bowers, B Ludäscher
Proceedings of the 2nd international workshop on Ontologies and information …, 2008
202008
Satellites uncover 5 surprising hotspots for tree cover loss
R Petersen, N Sizer, M Hansen, P Potapov, D Thau
World Resources Institute blog. http://www. wri. org/blog/2015/09/satellites …, 2015
192015
Data procurement for enabling scientific workflows: On exploring inter-ant parasitism
S Bowers, D Thau, R Williams, B Ludäscher
International Workshop on Semantic Web and Databases, 57-63, 2004
172004
Merging sets of taxonomically organized data using concept mappings under uncertainty
D Thau, S Bowers, B Ludäscher
OTM Confederated International Conferences" On the Move to Meaningful …, 2009
132009
The Book of JavaScript: A Practical guide to interactive Web pages
D Thau
No Starch Press, 2006
112006
Comparison of the automatically calibrated Google Evapotranspiration Application—EEFlux and the manually calibrated METRIC application
F Foolad, P Blankenau, A Kilic, RG Allen, JL Huntington, TA Erickson, ...
92018
Rapid MODIS-based detection of tree cover loss
D Wheeler, B Guzder-Williams, R Petersen, D Thau
International journal of applied earth observation and geoinformation 69, 78-87, 2018
92018
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Articles 1–20