Analysis of RapidEye imagery for agricultural land cover and land use mapping
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Liang Zhai | Huiyong Sang | Jixian Zhang | Jixian Zhang | L. Zhai | H. Sang | Chengji Qiu | Xiaoxia Sun | Chengji Qiu | Xiaoxia Sun
[1] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[2] Georg Bareth,et al. Evaluating red edge vegetation indices for estimating winter wheat N status under high canopy coverage condition , 2009 .
[3] Nancy F. Glenn,et al. Remote sensing of sagebrush canopy nitrogen , 2012 .
[4] A. Viña,et al. Comparison of different vegetation indices for the remote assessment of green leaf area index of crops , 2011 .
[5] John R. Miller,et al. Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model , 2010 .
[6] B. Kleinschmit,et al. Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data , 2012 .
[7] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[8] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[9] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[10] Moon S. Kim,et al. Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .
[11] Alan A. Ager,et al. Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland , 2011 .
[12] V. Alchanatisb,et al. UTILIZING THE VEN μ S RED-EDGE BANDS FOR ASSESSING LAI IN CROP FIELDS , 2010 .
[13] J. Peñuelas,et al. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. , 1994 .
[14] J. Ross Quinlan,et al. Bagging, Boosting, and C4.5 , 1996, AAAI/IAAI, Vol. 1.
[15] Andrew E. Suyker,et al. REMOTE ESTIMATION OF GROSS PRIMARY PRODUCTION IN MAIZE , 2011 .