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    • 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
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    • Faculty: A Historic Look
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Publications related to Geospatial-Information Science and Remote Sensing

Fjallsárlón, SE Iceland - May 2018
  • Hosseini M., Kerner H., Sahajpal R., Estefania I. P., Lu Y.H., Lawal A., Humber M., Mitkish M., Meyer S., Becker-Reshef I., 2020, Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar, Remote Sensing, 12,
  • Vadrevu, K.P. and Ohara, T., 2020. Focus on land use cover changes and environmental impacts in South/Southeast Asia. Environmental Research Letters, 15(10), p.100201.
  • Vadrevu, K.P., Eaturu, A., Biswas, S., Lasko, K., Sahu, S., Garg, J.K. and Justice, C., 2020. Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period. Scientific reports.10(1)1-15.
  • Vadrevu, K.P., Garg, J., and Wynne, R. 2020. Summary of the 2019 SARI sustainable forestry in South Asia meeting. 32(5)21-26
  • Brandt, M., Tucker, C.J., Kariryaa, A. et al. An unexpectedly large count of trees in the West African Sahara and Sahel. Nature (2020). https://doi.org/10.1038/s41586-020-2824-5 An unexpectedly large count of trees in the West African Sahara and Sahel_0.pdf12.54 MB
  • Eigenbrod, F., Beckmann, M., Dunnett, S., Graham, L., Holland, R.A., Meyfroidt, P., Seppelt, R., Song, X.P., Spake, R., Vaclavik, T., & Verburg, P.H. (2020). Identifying Agricultural Frontiers for Modeling Global Cropland Expansion. One Earth, 3, 504-514Link to article: https://www.sciencedirect.com/science/article/pii/S2590332220304759
  • Huang, N., Wang, L., Song, X.-P., Black, T.A., Jassal, R.S., Myneni, R.B., (2020). Spatial and temporal variations in global soil respiration and their relationships with climate and land cover. Science Advances, 6, eabb8508Link to article: https://www.science.org/doi/10.1126/sciadv.abb8508
  • Nakalembe, C. (2020). Urgent and critical need for Sub-Saharan African countries to invest in Earth observation-based agricultural early warning and monitoring systems. Environmental Research Letters. https://doi.org/10.1088/1748-9326/abc0bb
  • Nakalembe, C. (2020). Urgent and critical need for Sub-Saharan African countries to invest in Earth observation-based agricultural early warning and monitoring systems. Environmental Research Letters. https://doi.org/10.1088/1748-9326/abc0bb Nakalembe_2020_Environ._Res._Lett._10.1088_1748-9326_abc0bb.pdf807.49 KB
  • Skakun S., Vermote E. F., Santamaria Artigas A. E., Rountree W. H., Roger J.C., 2020 An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC, International Journal of Applied Earth Observations and Geoinformation, 95 (2021) 102253, doi.org/10.1016/j.jag.2020.102253
  • Skakun S., Vermote E. F., Santamaria Artigas A. E., Rountree W. H., Roger J.C., 2020 An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC, International Journal of Applied Earth Observations and Geoinformation, 95 (2021) 102253, doi.org/10.1016/j.jag.2020.102253
  • Rich et al., (2020). arcos and arcospy: R and Python packages for accessing the DEA ARCOS database from 2006 - 2014. Journal of Open Source Software, 5(53), 2450, https://doi.org/10.21105/joss.02450
  • Vermote, E.F.; Skakun, S.; Becker-Reshef, I.; Saito, K. Remote Sensing of Coconut Trees in Tonga Using Very High Spatial Resolution WorldView-3 Data. Remote Sens. 2020, 12, 3113.
  • Zhang Q, ..., Xu S. A stepwise downscaling method for generating high-resolution land surface temperature from AMSR-E data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 5669-5681.
  • Dong, G., Z. Jiang, Z. Tian, E. Buonomo, L. Sun, D. Fan. 2020. “Projecting Changes in Mean and Extreme Precipitation over Eastern China during 2041-2060.” Earth and Space Science (2018 IF = 2.15), Vol. 7, article no. e2019EA001024.https://doi.org/10.1029/2019EA001024. Projecting Changes in Mean and Extreme Precipitation over Eastern China during 2041-2060_Earth&SpaceScience2020.pdf16.93 MB
  • Duncan, K., S. L. Farrell, J. Hutchings, J. Richter-Menge (2020). Late Winter Observations of Sea Ice Pressure Ridge Sail Height. IEEE Geoscience and Remote Sensing Letters, https://doi.org/10.1109/LGRS.2020.3004724
  • Giglio, L., and Roy, D. P., 2020, On the outstanding need for a long-term, multi-decadal, validated and quality assessed record of global burned area: Caution in the use of Advanced Very High Resolution Radiometer data. Science of Remote Sensing, 2, 100007. Giglio2020_SRS.pdf2.7 MB
  • Jiang, Z., Z. Tian, G. Dong, L. Sun, P. Zhang, E. Buonomo, D. Fan. 2020. “High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models.” Journal of Meteorological Research (IF = 2.302; 5-yr IF = 2.225), 34 (5), 1–22. http://jmr.cmsjournal.net/article/doi/10.1007/s13351-020-9208-5. High-ResolutionProjectionsOfMeanAndExtremePrecipitationOverChina_J Meteo Res2020.pdf48.25 MB
  • Breau, S., Burkhart., N., Shin, M., Marchand, Y., Sauer, J. (2020). Is it time to start worrying more about growing regional inequalities in Canada? The Canadian Geographer. https://doi.org/10.1111/cag.12634
  • Forkuor, G., Zoungrana, J.B.B., Dimobe, K., Ouattara, B., Vadrevu, K.P. and Tondoh, J.E., 2020. Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets-A case study. Remote Sensing of Environment, 236, p.111496.
  • He, J., & Eastman, J. R. (2020). A Sequential Autoencoder for Teleconnection Analysis. Remote Sensing, 12(5), 851. doi:10.3390/rs12050851 remotesensing-12-00851_0.pdf8.01 MB
  • Li, Y., Zhang, N., Li, R.K., Liu, C.Y., Shen, J. and Jing, Y.C., 2020. Soil mapping based on assessment of environmental similarity and selection of calculating samples. CATENA, 188, p.104379.
  • Buckley, E. M., Farrell, S. L., Duncan, K., Connor, L. N., Kuhn, J. M., & Dominguez, R. T. ( 2020). Classification of Sea Ice Summer Melt Features in High‐resolution IceBridge Imagery. JGR, 125, e2019JC015738. https://doi.org/10.1029/2019JC015738 2019JC015738.pdf2.3 MB
  • Li, Y., Shetty, A.C., Lon, C., Spring, M., Saunders, D.L., Fukuda, M.M., Hien, T.T., Pukrittayakamee, S., Fairhurst, R.M., Dondorp, A.M. and Plowe, C.V., 2020. Detecting geospatial patterns of Plasmodium falciparum parasite migration in Cambodia using optimized estimated effective migration surfaces. International Journal of Health Geographics, 19(1), pp.1-11.
  • Pickens, A.H., Hansen, M.C., Hancher, M., Stehman, S.V., Tyukavina, A., Potapov, P., Marroquin, B., Sherani, Z., 2020. Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series. Remote Sensing of Environment 243, 111792. https://doi.org/10.1016/j.rse.2020.111792 globalWaterPickens.pdf3.84 MB

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