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  • Graduate
    • Prospective Ph.D. Students
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  • Research
    • Geospatial-Information Science and Remote Sensing
    • Human Dimensions of Global Change - Coupled Human and Natural Systems
    • Land Cover - Land Use Change
    • Carbon, Vegetation Dynamics and Landscape-Scale Processes
  • GIS
    • Center for Geospatial Information Science
  • Alumni
    • Faculty: A Historic Look
    • The Department of Geographical Sciences Alumni
  • Diversity
    • Land Acknowledgement
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Publications related to Geospatial-Information Science and Remote Sensing

Fjallsárlón, SE Iceland - May 2018
  • Franch B, Vermote E, Skakun S, Roger J-C, Santamaria-Artigas A, Villaescusa-Nadal JL and Masek J (2018) Toward Landsat and Sentinel-2 BRDF Normalization and Albedo Estimation: A Case Study in the Peruvian Amazon Forest. Front. Earth Sci. 6:185.doi: 10.3389/feart.2018.00185 feart-06-00185.pdf677.41 KB
  • Jimenez J.C., Barichivich J., Mattar C., Takahashi K., Santamaría-Artigas A., Sobrino J.A., Malhi Y. 2018. Spatio-temporal patterns of thermal anomalies and drought over tropical forests driven by recent extreme climatic anomalies. Phil. Trans. R. Soc. B373: 20170300. http://dx.doi.org/10.1098/rstb.2017.0300
  • Donal O’Leary III,Dorothy Hall,Michael Medler, et al. Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps[J]. Front. Earth Sci., 03 August 2018. [Epub ahead of print] doi: 10.1007/s11707-018-0719-7.
  • Giglio, L.; Boschetti, L.; Roy, D.P.; Humber, M.L.; Justice, C.O., “The Collection 6 MODIS burned area mapping algorithm and product,” Remote Sensing of Environment, vol. 217, Aug. 2018
  • Li, Y., Chen, J., & Rao, Y. (2018). A practical sampling method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 379-389.
  • Song, X.-P., Hansen, M.C., Stehman, S.V., Potapov, P.V., Tyukavina, A., Vermote, E.F., & Townshend, J.R. (2018). Global land change from 1982 to 2016. Nature, 560, 639-643Link to article: https://www.nature.com/articles/s41586-018-0411-9
  • Abatzoglou, J.; Williams, P.; Boschetti, L.; Zubkova, M.; Kolden, C.A. 2018. Global patterns of interannual climate‐fire relationships. Global Change Biology, https://doi.org/10.1111/gcb.14405
  • Marselis, S.M.; Tang, H.; Armston, J.D.; Calders, K.; Labriere, N.; Dubayah, R. (2018) Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon. Rem. Sen. Env. 216https://doi.org/10.1016/j.rse.2018.07.023
  • Baraldi, A.; Humber, M.L.; Tiede, D.; Lang, S., “GEO-CEOS stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for ESA Earth observation Level 2 product generation – Part 1: Theory,” Cogent Geoscience, Apr. 2018
  • Baraldi, A.; Humber, M.L.; Tiede, D.; Lang, S., “GEO-CEOS stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for ESA Earth observation Level 2 product generation – Part 2: Validation,” Cogent Geoscience, Apr. 2018
  • Brandt, M., Rasmussen, K., Hiernaux, P. et al. Reduction of tree cover in West African woodlands and promotion in semi-arid farmlands. Nature Geosci 11, 328–333 (2018). https://doi.org/10.1038/s41561-018-0092-x Reduction of tree cover in West African woodlands and promotion in semi-arid farmlands.pdf1.54 MB
  • Bruening, J. M., Bunn, A. G., & Salzer, M. W. (2018). A climate‐driven tree line position model in the White Mountains of California over the past six millennia. Journal of Biogeography, 45(5), 1067-1076.
  • Bruening, J. M., Bunn, A. G., & Salzer, M. W. (2018). A climate‐driven tree line position model in the White Mountains of California over the past six millennia. Journal of Biogeography, 45(5), 1067-1076. Bruening_et_al-2018-Journal_of_Biogeography.pdf1.97 MB
  • Khan, A., Hansen, M.C., Potapov, P.V., Adusei, B., Pickens, A., Krylov, A., Stehman, S.V. Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan, Remote Sensing (2018)https://doi.org/10.3390/rs10040489
  • Flood Damage Assessment of Kharif Rice Crop Using Geospatial Technology International Geographical Union Commission , Guwahati , 08 – 10 February, 2018
  • Jia, A., Liang, S., Jiang, B., Zhang, X., & Wang, G. (2018). Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis. Journal of Geophysical Research: Atmospheres, 123(4), 1970-1989.
  • Nakalembe, C. (2018) Characterizing agricultural drought in the Karamoja subregion of Uganda with meteorological and satellite-based indices. Natural Hazards 91: 837. https://doi.org/10.1007/s11069-017-3106-x
  • Alabar,I., Jaya,I.,Saharjo,B.H.,Kuncahyo,B., and K.P.Vadrevu. 2018. Spatio-temporal Analysis of Land and Forest Fires in Indonesia using MODIS Active Fire Dataset. Chapter-6. In Land-Atmospheric Research Applications in South and Southeast Asia. Spr
  • Chen, D., & Loboda, T.V. (2018). Surface forcing of non-stand-replacing fires in Siberian larch forests. Environmental Research Letters, 13, 045008.
  • Chen, D., Loboda, T.V., He, T., Zhang, Y., & Liang, S. (2018). Strong cooling induced by stand-replacing fires through albedo in Siberian larch forests. Scientific Reports, 8, 4821. strong_cooling_induced_by_stand-replacing_fires_through_albedo_in_siberian_larch_forests.pdf1.86 MB
  • Chen, J., Rao, Y., & Zhu, X. (2018). Spatiotemporal Data Fusion to Generate Synthetic High Spatial and Temporal Resolution Satellite Images. In Remote Sensing Time Series Image Processing (pp. 65-88). CRC Press.
  • Fuller, T.L., T.P. Narins, J. Nackoney, T.C. Bonebrake, P.S. Clee, K. Morgan, A. Tróchez, D.B. Meñe, Bongwele, K.Y. Njabo, N.M. Anthony, M.K. Gonder, M. Kahn, W.R. Allen, T.B. Smith (2018). Assessing the impact of China’s timber industry on Congo Basin land use change. Area, 51(2), 340-349. https://doi.org/10.1111/area.12469
  • Hall, J. V., & Loboda, T. V. (2018). Quantifying the variability of potential black carbon transport from cropland burning in Russia driven by atmospheric blocking events. Environmental Research Letters.
  • Humber, M.L.; Boschetti, L.; Giglio, L.; Justice, C.O., “Spatial and Temporal Intercomparison of Four Global Burned Area Products,” International Journal of Digital Earth, Jan. 2018.
  • Jantz, S.M., L. Pintea, J. Nackoney, M.C. Hansen (2018). Global forest maps in support of conservation monitoring. In: Satellite Remote Sensing for Conservation Action - Case Studies from Aquatic and Terrestrial Ecosystems (A. Leidner & G. Buchanan, Eds.). Cambridge, U.K.: Cambridge University Press.

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