Publications related to Geospatial-Information Science and Remote Sensing | Geographical Sciences Department

Santamaria-Artigas, A., Vermote, E.F., Franch, B., Roger, J.-C., Skakun, S., 2021. Evaluation of the AVHRR surface reflectance long term data record between 1984 and 2011. Int. J. Appl. Earth Obs. Geoinf. 98, 102317. https://doi.org/10.1016/j.jag.2021.102 asantam_JAG_AVHRR.pdf15.57 MB
Hosseini, M., McNairn, H., Mitchell, S., Robertson, L. D., Davidson, A., Ahmadian, N., Bhattacharya, A., et al. (2021). A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index. Remote Sensing, 13(7), 1348. MDP remotesensing-13-01348-v2.pdf0 bytes
Gitelson, A., Arkebauer, T., Viña, A., Skakun, S., & Inoue Y. (2021). Evaluating plant photosynthetic traits via absorption coefficient in the photosynthetically active radiation region. Remote Sensing of Environment, 258, art. num. 112401.
Skakun, S., Vermote, E. F., Artigas, A. E. S., Rountree, W. H., & Roger, J. C. (2021). An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC.International Journal of Applied Earth Observation and Geoinformation, 95, 102253.
Huang, X., Reba, M., Coffin, A., Runkle, B. R., Huang, Y., Chapman, B., Ziniti, B., Skakun, S., Kraatz, S., Siqueira, P., & Torbick, N. (2021). Cropland mapping with L-band UAVSAR and development of NISAR products. Remote Sensing of Environment, 253, art. num. 112180.
Skakun, S., Kalecinski, N.I., Brown, M.G.L., Johnson, D.M., Vermote, E.F., Roger, J.-C., & Franch, B. (2021). Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery.Remote Sensing, 13, art. num. 872.
Xia, Z., Stewart, K., Fan, J., 2021. Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area. Computers, Environment and Urban Systems 87, 101599. https://doi.org/10.1016/j.compenvurbsys.2021.101599
Farrell, S. L., Duncan, K., Buckley, E. M., Richter‐Menge, J., & Li, R. (2020). Mapping Sea Ice Surface Topography in High Fidelity with ICESat‐2. Geophysical Research Letters, 47, e2020GL090708. https://doi.org/10.1029/2020GL090708
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,
Thieme, A., Glennie, E., Oddo, P., McCartney, S., Ruid, M., & Anand, A. (2020). Application of Remote Sensing for Ex ante Decision Support and Evaluating Impact. American Journal of Evaluation, 109821402096257. https://doi.org/10.1177/1098214020962579
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
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
Thieme, A., Yadav, S., Oddo, P. C., Fitz, J. M., McCartney, S., King, L., ... & Hively, W. D. (2020). Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed. Remote Sensing of Environment, 248, 111943. 1-s2.0-S0034425720303138-main.pdf2.55 MB
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.
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