Who's Citing Us This Week ...

  • Williamson, J.C., Bestelmeyer, B.T., McClaran, M.P., Robinett, D., Briske, D.D., Wu, X.B., Fernández-Giménez, M.E. Can ecological land classification increase the utility of vegetation monitoring data? (2016) Ecological Indicators, 69 pp. 657-666.  
  • Elmendorf, S.C., Jones, K.D., Cook, B.I., Diez, J.M., Enquist, C.A.F., Hufft, R.A., Jones, M.O., Mazer, S.J., Miller-Rushing, A.J., Moore, D.J.P., Schwartz, M.D., Weltzin, J.F. The plant phenology monitoring design for the National Ecological Observatory Network (2016) Ecosphere, 7 (4), art. no. e01303
  • Dąbrowski, R., Jenerowicz, A. Portable imagery quality assessment test field for UAV sensors (2015) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40 (1W4) pp. 117-122.
  • Marcaccio, J.V., Markle, C.E., Chow-Fraser, P. Unmanned aerial vehicles produce high-resolution, seasonally-relevant imagery for classifying wetland vegetation (2015) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40 (1W4) pp. 249-256.
  • Luo, S., Chen, J.M., Wang, C., Xi, X., Zeng, H., Peng, D., Li, D. Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters (2016) Optics Express, 24 (11) pp. 11578-11593.
  • Malkamäki, A., Toppinen, A., Kanninen, M. Impacts of land use and land use changes on the resilience of beekeeping in Uruguay (2016) Forest Policy and Economics, 70 pp. 113-123.
  • Li, F., Zhao, Y., Zheng, J., Luo, J., Zhang, X. Monitoring grazing intensity: An experiment with canopy spectra applied to satellite remote sensing (2016) Journal of Applied Remote Sensing, 10 (2), art. no. 026032
  • Hamidi, M., Samadzadegan, F. Precise 3D geo-location of UAV images using geo-referenced data (2015) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40 (1W5) pp. 269-275.
  • Hunter, D.S., Hazel, S.J., Kind, K.L., Owens, J.A., Pitcher, J.B., Gatford, K.L. Programming the brain: Common outcomes and gaps in knowledge from animal studies of IUGR (2016) Physiology and Behavior, 164 pp. 233-248.
  • Mifsud, C.M., Vella, A. Factors Affecting Foraging Activity of Pipistrelle Bats (Chiroptera: Vespertilionidae) on the Islands of Malta (2015) Acta Chiropterologica, 17 (2) pp. 337-346.
  • Dziubanski, D.J., Franz, K.J. Assimilation of AMSR-E snow water equivalent data in a spatially-lumped snow model (2016) Journal of Hydrology, 540 pp. 26-39.
  • Malakar, N.K., Hulley, G.C. A water vapor scaling model for improved land surface temperature and emissivity separation of MODIS thermal infrared data (2016) Remote Sensing of Environment, 182 pp. 252-264.
  • Xu, X., Liu, X., Li, X., Xin, Q., Chen, Y., Shi, Q., Ai, B. Global snow cover estimation with Microwave Brightness Temperature measurements and one-class in situ observations (2016) Remote Sensing of Environment, 182 pp. 227-251.
  • Senzeba, K.T., Rajkumari, S., Bhadra, A., Bandyopadhyay, A. Response of streamflow to projected climate change scenarios in an eastern Himalayan catchment of India (2016) Journal of Earth System Science, 125 (3) pp. 443-457.
  • Tahar, K.N. Multi rotor UAV at different altitudes for slope mapping studies (2015) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40 (1W4) pp. 9-16.
  • Swet, N., Katra, I. Reduction in soil aggregation in response to dust emission processes (2016) Geomorphology, 268 pp. 177-183.
  • Rüdiger, C., Dharssi, I., McCaskill, M., Merlin, O., Monerris, A., Morse-McNabb, E., Renzullo, L., Ryu, D., Wagner, W. High-resolution soil moisture monitoring across Australia : Opportunities for farming applications (2015) The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015, pp. 1002-1009.
  • Azarbad, H., Van Gestel, C.A.M., Niklińska, M., Laskowski, R., Röling, W.F.M., Van Straalen, N.M. Resilience of soil microbial communities to metals and additional stressors: DNA-based approaches for assessing “stress-on-stress” responses (2016) International Journal of Molecular Sciences, 17 (6), art. no. 933.
  • Guo, Q., Hu, Z.-M., Li, S.-G., Yu, G.-R., Sun, X.-M., Li, L.-H., Liang, N.-S., Bai, W.-M. Exogenous N addition enhances the responses of gross primary productivity to individual precipitation events in a temperate grassland (2016) Scientific Reports, 6, art. no. 26901.