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International Journal of Applied Earth Observation and Geoinformation, Volume 25
Volume 25, December 2013
- Antonio Juliano Fazan, Aluir Porfírio Dal Poz:
Rectilinear building roof contour extraction based on snakes and dynamic programming. 1-10 - Nasreen Jahan, Thian Yew Gan:
Developing a gross primary production model for coniferous forests of northeastern USA from MODIS data. 11-20 - Zhuokun Pan, Jingfeng Huang, Fumin Wang:
Multi range spectral feature fitting for hyperspectral imagery in extracting oilseed rape planting area. 21-29 - Chandra P. Giri, Bruce W. Pengra, Jordan B. Long, Thomas R. Loveland:
Next generation of global land cover characterization, mapping, and monitoring. 30-37 - Pavel Propastin, Oleg Panferov:
Retrieval of remotely sensed LAI using Landsat ETM+ data and ground measurements of solar radiation and vegetation structure: Implication of leaf inclination angle. 38-46 - M. Schlemmer, Anatoly A. Gitelson, J. Schepers, Richard B. Ferguson, Y. Peng, John F. Shanahan, Donald Rundquist:
Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels. 47-54 - Jana Müllerová, Jan Pergl, Petr Pysek:
Remote sensing as a tool for monitoring plant invasions: Testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed). 55-65 - Ling Wu, Xiangnan Liu, Ping Wang, Botian Zhou, Meiling Liu, Xuqing Li:
The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues. 66-75 - Stéphane Dupuy, Gérard Laine, Jacques Tassin, Jean-Michel Sarrailh:
Characterization of the horizontal structure of the tropical forest canopy using object-based LiDAR and multispectral image analysis. 76-86 - Gherardo Chirici, Roberto Scotti, Alessandro Montaghi, Anna Barbati, Rosaria Cartisano, Giovanni Lopez, Marco Marchetti, Ronald E. McRoberts, Håkan Olsson, Piermaria Corona:
Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery. 87-97
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