All Publications

Brown, M.E., Grace, K., Shively, G., Johnson, K.B., Carroll, M.L. 2014. Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change. Population and Environment. [online journal] doi 10.100

Li, C, Wang, J, Wang, L, Hu, L, Gong, P, 2014. Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery. Remote Sensing, 6(2): 964-983

Silva, Julie A. and Alfons W. Mosimane. 2014. “How Could I Live Here and Not Be A Member?” Social Motives for Participating in Namibian Conservation Programs. Human Ecology. 42:183-197.

Franch, B., Vermote, E.F., Sobrino, J.A. and Julien, Y. (2014).

Fa, J.E., M.Á. Farfán, A.L. Marquez, J. Duarte, J. Nackoney, A. Hall, J. Dupain, S. Seymour, P. Johnson, D Macdonald, J.M. Vargas (2014). Mapping Hotspots of Bushmeat and Threatened Species in the Cross-Sanaga Rivers Region. Conservation Biology 28 (1):

Silva, Julie A. and Lila K. Khatiwada. 2014. Turning Conservation into Cash: Nature Tourism in Southern Africa. Africa Today 61:16-45.

Guan, D., Klasen, S., Hubacek, K., Feng, K., Liu, Z., He, K., Geng, Y., Zhang, Q., (2014), Determinants of Stagnating Carbon Intensity in China, Nature Climate Change 4, 1017–1023.

A. Baraldi and M. Humber, "Quality assessment of pre-classification maps generated from spaceborne/airborne multi-spectral images by the Satellite Image Automatic Mapper™ and Atmospheric/Topographic Correction™-Spectral Classification software products:

Ferrant, S., Gascoin, S., Veloso, A., Salmon-Monviola, J., Claverie, M., Rivalland, V., Dedieu, G., Demarez, V., Ceschia, E., Probst, J.L., Durand, P., & Bustillo, V. (2014). Agro-hydrology and multi-temporal high-resolution remote sensing

Yao, C., Feng, K., Hubacek, K. (2014), Driving Forces of CO2 Emissions among G20 Countries: An Index Decomposition Analysis from 1971 to 2010, Ecological Informatics

Feng, Kuishuang, Klaus Hubacek, Laixiang Sun, Zhu Liu. 2014. “Consumption-based CO2 accounting of China's megacities: the case of Beijing, Tianjin, Shanghai and Chongqing.” Ecological Indicators (2017 IF: 3.983; 5-yr IF: 4.391),

Franch, B., Vermote, E.F., Sobrino, J.A. and Julien, Y. 2014. Retrieval of surface albedo on a daily basis: application to MODIS data.