Robert G. Pontius
Affiliations: | Clark University, Worcester, MA, United States |
Area:
Geography, Geotechnology, StatisticsGoogle:
"Robert Pontius"
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Publications
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| Varga OG, Pontius RG, Szabó Z, et al. (2020) Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data Remote Sensing. 12: 1314 |
| Elmes A, Alemohammad H, Avery R, et al. (2020) Accounting for Training Data Error in Machine Learning Applied to Earth Observations Remote Sensing. 12: 1034 |
| Quan B, Pontius RG, Song H. (2020) Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China Giscience & Remote Sensing. 57: 21-36 |
| Shafizadeh-Moghadam H, Minaei M, Feng Y, et al. (2019) GlobeLand30 Maps Show Four Times Larger Gross Than Net Land Change From 2000 To 2010 In Asia International Journal of Applied Earth Observation and Geoinformation. 78: 240-248 |
| Pontius RG. (2019) Component intensities to relate difference by category with difference overall International Journal of Applied Earth Observation and Geoinformation. 77: 94-99 |
| Varga OG, Pontius RG, Singh SK, et al. (2019) Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model Ecological Indicators. 101: 933-942 |
| Pontius RG. (2018) Criteria to Confirm Models that Simulate Deforestation and Carbon Disturbance Land. 7: 105 |
| Estoque RC, Pontius RG, Murayama Y, et al. (2018) Simultaneous comparison and assessment of eight remotely sensed maps of Philippine forests International Journal of Applied Earth Observation and Geoinformation. 67: 123-134 |
| Ye S, Pontius RG, Rakshit R. (2018) A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches Isprs Journal of Photogrammetry and Remote Sensing. 141: 137-147 |
| Huang B, Huang J, Pontius RG, et al. (2018) Comparison of Intensity Analysis and the land use dynamic degrees to measure land changes outside versus inside the coastal zone of Longhai, China Ecological Indicators. 89: 336-347 |