Baraldi, A. and Humber, M., “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:

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Rappaport, D., Montagnini, F., 2014. Tree species growth under a rubber (Hevea brasiliensis) plantation: native restoration via enrichment planting in southern Bahia, Brazil. New Forests 45, 715–732. https://doi.org/10.1007/s11056-014-9433-9

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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:

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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

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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

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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),

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

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Schroeder, W., Ellicott, E., Ichoku, C., Luke, E., Dickinson, M. B., Ottmar, R. D., Clements, C., Hall, D., Ambrosia, V., Kremens, R. (2014),

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Prell, C., Feng, K., Geores, M., Sun, L., Hubacek, K., (2014), The Economic gains and environmental losses of US consumption: A world-systems and input-output approach, Social Forces, vol. 93, no. 1 (Sep), pp. 405-428.

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Krishna Prasad Vadrevu, Kristofer Lasko, Louis Giglio and Chris Justice, 2014. Analysis of Southeast Asian Pollution Episode During June 2013 Using Satellite Remote Sensing Datasets. Environmental Pollution, 195, 245-256. .

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Giglio, L., and Schroeder, W. (2014), A global feasibility assessment of the bi-spectral fire temperature and area retrieval using MODIS data. Remote Sensing of Environment, 152, 166-173.

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Krishna Prasad Vadrevu, Kristofer Lasko and Chris Justice. 2014. Spatial Variations in Vegetation Fires and CO Concentrations in South Asia. Remote Sensing Applications in Environmental Research. Eds.P.Srivastava et al., Springer Verlag. 131-149.

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