Works matching AU Fiske, Greg
Results: 13
A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards.
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- Scientific Data, 2025, v. 12, n. 1, p. 1, doi. 10.1038/s41597-025-04372-7
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Characterizing Uncertainty in Pan‐Arctic Land‐Ocean Dissolved Organic Carbon Flux: Insights From the Onega River, Russia.
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- Journal of Geophysical Research. Biogeosciences, 2023, v. 128, n. 5, p. 1, doi. 10.1029/2022JG007073
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Geochemistry of Small Canadian Arctic Rivers with Diverse Geological and Hydrological Settings.
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- Journal of Geophysical Research. Biogeosciences, 2020, v. 125, n. 1, p. 1, doi. 10.1029/2019JG005414
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Detecting and Mapping Gas Emission Craters on the Yamal and Gydan Peninsulas, Western Siberia.
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- Geosciences (2076-3263), 2021, v. 11, n. 1, p. 21, doi. 10.3390/geosciences11010021
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- Article
Guiding Agricultural Expansion to Spare Tropical Forests.
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- Conservation Letters, 2015, v. 8, n. 4, p. 262, doi. 10.1111/conl.12149
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Geography of international water conflict and cooperation: Data sets and applications.
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- Water Resources Research, 2004, v. 40, n. 5, p. n/a, doi. 10.1029/2003WR002530
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A land-to-ocean perspective on the magnitude, source and implication of DIC flux from major Arctic rivers to the Arctic Ocean.
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- Global Biogeochemical Cycles, 2012, v. 26, n. 4, p. 1, doi. 10.1029/2011GB004192
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Projected Future Distribution of Tsuga canadensis across Alternative Climate Scenarios in Maine, U.S.
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- Forests (19994907), 2017, v. 8, n. 8, p. 285, doi. 10.3390/f8080285
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- Article
A Comparison of Satellite Imagery Sources for Automated Detection of Retrogressive Thaw Slumps.
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- Remote Sensing, 2024, v. 16, n. 13, p. 2361, doi. 10.3390/rs16132361
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Using Machine Learning to Predict Inland Aquatic CO<sub>2</sub> and CH<sub>4</sub> Concentrations and the Effects of Wildfires in the Yukon‐Kuskokwim Delta, Alaska.
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- Global Biogeochemical Cycles, 2022, v. 36, n. 4, p. 1, doi. 10.1029/2021GB007146
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- Article
Inhibition of Amazon Deforestation and Fire by Parks and Indigenous Lands.
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- Conservation Biology, 2006, v. 20, n. 1, p. 65, doi. 10.1111/j.1523-1739.2006.00351.x
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- Article
An Automated Approach to Map Winter Cropped Area of Smallholder Farms across Large Scales Using MODIS Imagery.
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- Remote Sensing, 2017, v. 9, n. 6, p. 566, doi. 10.3390/rs9060566
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- Article
Using High‐Resolution Satellite Imagery and Deep Learning to Track Dynamic Seasonality in Small Water Bodies.
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- Geophysical Research Letters, 2023, v. 50, n. 7, p. 1, doi. 10.1029/2022GL102327
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- Article