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

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
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
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
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
Liang, M.; Pause, M.; Prechtel, N.; Schramm, M. Regionalization of Coarse Scale Soil Moisture Products Using Fine-Scale Vegetation Indices—Prospects and Case Study. Remote Sens. 2020, 12, 551. remotesensing-12-00551.pdf1.99 MB
Peredo, J., Wayman, C., Whong, B., Thieme, A., Kline, L. R., Yadav, S., ... & Fitz, J. (2020). Utilizing Landsat and SENTINEL-2 to Remotely Monitor and Evaluate the Performance of Winter Cover Crops Throughout Maryland. The International Archives ofPhotogrammetry, Remote Sensing and Spatial Information Sciences, 42, 125-130. UTILIZING_LANDSAT_AND_SENTINEL-2_TO_REMOTELY_MONIT.pdf886.67 KB
He J, Loboda TV, Jenkins L, Chen D. (2020). ABoVE: Distribution Maps of Wildland Fire Fuel Components across Alaskan Tundra, 2015. ORNL DAAC, Oak Ridge, Tennessee, USA.
Jia, A., Liang, S., Wang, D., Jiang, B., & Zhang, X. (2020). Air pollution slows down surface warming over the Tibetan Plateau. Atmos. Chem. Phys., 20(2), 881-899. doi:10.5194/acp-20-881-2020
Meredith G. L. Brown, Sergii Skakun, Tao He, and Shunlin Liang. Intercomparison of machine-learning methods for estimating surface shortwave and photosynthetically active radiation.Remote Sensing, 12(3):372,2020 remotesensing-12-00372.pdf793.33 KB
Peter Potapov, Matthew C Hansen, Indrani Kommareddy, Anil Kommareddy, Svetlana Turubanova, Amy Pickens, Bernard Adusei, Alexandra Tyukavina, Qing Ying, 2020. Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping. Remote Sensing12(3)
Shen W, Mao X, He J, Dong J, Huang C, Li M. (2020) Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China. Remote Sens. 2020, 12, 155.
Wang, D., Liang, S., Zhang, Y., Gao, X., Brown, M. G., & Jia, A. (2020). A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation. Remote Sensing, 12(1), 168.
Becker-Reshef, I; Barker, B.; Humber, M.; Puricelli, E.; Sanchez, A.; Sahajpal, R.; McGaughey, K.; Justice, C.; Baruth, B.; Bingfang, W.; Prakash, A.; Abdolreza, A.; Jarvis, I., “The GEOGLAM Crop Monitor for AMIS: Assessing Crop Conditions in the Context of Global Markets,” Global Food Security, vol. 23, pp. 173-181, Dec. 2019.
Chen, D., Loboda, T.V., & Hall, J.V. (2020). A systematic evaluation of influence of image selection process on remote sensing-based burn severity indices in North American boreal forest and tundra ecosystems. Isprs Journal of Photogrammetry and Remote Sensing, 159, 63-77 https://doi.org/10.1016/j.isprsjprs.2019.11.011
Skakun S., Justice C., Kussul N., Shelestov A., Lavreniuk M. (2019) Satellite Data Reveal Cropland Losses in South-Eastern Ukraine Under Military Conflict. Frontiers in Earth Science, 7:305.
Zhang, C., Ma, L., Chen, J., Rao, Y., Zhou, Y., & Chen, X. (2019). Assessing the impact of endmember variability on linear Spectral Mixture Analysis (LSMA): A theoretical and simulation analysis. Remote Sensing of Environment, 235, 111471doi:https://doi.org/10.1016/j.rse.2019.111471