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

Resop, J.P.; Lehmann, L.; Hession, W.C. Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning. Drones 2021, 5, 91.https://doi.org/10.3390/drones5030091 resop2021_drones.pdf8.37 MB
Chen, Y., Liang, S., Ma, H., Li, B., He, T., & Wang, Q. (2021). An all-sky 1 km daily surface air temperature product over mainland China for 2003–2019 from MODIS and ancillary data. Earth Syst. Sci. Data, 13, 4241-4261
Hall, J.V., Argueta, F., & Giglio, L., (2021). Validation of MCD64A1 and FireCCI51 cropland burned area mapping in Ukraine. International Journal of Applied Earth Observation and Geoinformation, 102. 1-s2.0-S0303243421001501-main.pdf7.32 MB
Ranjbar S., Akhoondzadeh M., Brisco B., Amani M., Hosseini M., 2021, Soil Moisture Change Monitoring from C and L-band SAR Interferometric Phase Observations, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.110 JSTAR 2021.pdf9.46 MB
Vadrevu, K.P., Ohara, T. and Justice, C. eds., 2021. Biomass Burning in South and Southeast Asia: Impacts on the Biosphere, Volume Two. CRC Press. https://www.routledge.com/Biomass-Burning-in-South-and-Southeast-Asia-Impacts-on-the-Biosphere-Volume/Vadrevu-Ohara-Justice/p/book/9780367076047
Vadrevu, K.P., Ohara, T. and Justice, C. eds., 2021. Biomass Burning in South and Southeast Asia: Mapping and Monitoring, Volume One. CRC Press. https://www.routledge.com/Biomass-Burning-in-South-and-Southeast-Asia-Mapping-and-Monitoring-Volume/Vadrevu-Ohara-Justice/p/book/9780367076818
Zubkova, M.; Giglio, L.; Humber, M.; Hall, J.H.; Ellicott, E. Conflict and Climate: Drivers of Fire Activity in Syria in the Twenty-First Century. 2021. Earth Interactions, 25(1): 119-135 [10873562 - Earth Interactions] Conflict and Climate_ Drivers of Fire Activity in Syria in the Twenty-First Century (1)_0.pdf2.15 MB
Jia, A., Ma, H., Liang, S., & Wang, D. (2021). Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method. Remote Sensing of Environment, 263, 112566. https://doi.org/10.1016/j.rse.2021.112566
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
Sauer, Jeffery, Kathleen Stewart, and Zachary D W Dezman. 2021. “A Spatio-Temporal Bayesian Model to Estimate Risk and Evaluate Factors Related to Drug-Involved Emergency Department Visits in the Greater Baltimore Metropolitan Area.” Journal of Substance
Song, X.-P., Hansen, M.C., Potapov, P.V., Adusei, B., Pickering, J., Adami, M., Lima, A., Zalles, V., Stehman, S.V., (2021). Massive soybean expansion in South America since 2000 and implications for conservation. Nature Sustainability, 4, 784-792Link to the article: https://www.nature.com/articles/s41893-021-00729-z
Song, X.-P., Huang, W., Hansen, M.C., & Potapov, P. (2021). An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping. Science of Remote Sensing, 3, 100018Link to the article: https://www.sciencedirect.com/science/article/pii/S2666017221000055
Xu, Shuo, Jie Cheng, and Quan Zhang. "A Random Forest-Based Data Fusion Method for Obtaining All-Weather Land Surface Temperature with High Spatial Resolution." Remote Sensing 13.11 (2021): 2211.
Zhu, G., Stewart, K., Niemeier, D., & Fan, J. (2021). Understanding the Drivers of Mobility during the COVID-19 Pandemic in Florida, USA Using a Machine Learning Approach. ISPRS International Journal of Geo-Information, 10(7), 440.
Hall, J.V., Zibstev, S.V., Giglio, L., Skakun, S., Myroniuk, V., Zhuravel, O., Goldammer, J.G. and Kussul, N., 2021. Environmental and political implications of underestimated cropland burning in Ukraine. Environmental Research Letters. Hall_2021_Environ._Res._Lett._16_064019.pdf1.88 MB
Biswas, S., Vadrevu, K.P., Mon, M.S. and Justice, C., 2021. Contemporary forest loss in Myanmar: Effect of democratic transition and subsequent timber bans on landscape structure and composition. Ambio, 50(4), pp.914-928.
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
Nakalembe, C., Becker-Reshef, I., Bonifacio, R., Hu, G., Humber, M. L., Justice, C. J., … Sanchez, A. (2021). A review of satellite-based global agricultural monitoring systems available for Africa. Global Food Security, 29, 100543. https://doi.org/10.101 1-s2.0-S2211912421000523-main.pdf2.7 MB
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.
Cropper, M., Cui, R., Guttikunda, S., Hultman, N., Jawahar, P., Park, Y., Yao, X., & Song, X.-P. (2021). The mortality impacts of current and planned coal-fired power plants in India. Proceedings of the National Academy of Sciences, 118, e2017936118Link to article: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.pnas.org/doi/pdf/10.1073/pnas.2017936118
Xu, Shuo, and Jie Cheng. "A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering." Remote Sensing of Environment 254 (2021): 112256.
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