Long Term Soil Productivity study using very high spatial resolution imagery
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Baoxin Hu | Kongwen Zhang | Mike Curran | Justin Robinson | Baoxin Hu | M. Curran | Kongwen Zhang | Justin Robinson
[1] D. Lu. The potential and challenge of remote sensing‐based biomass estimation , 2006 .
[2] Y. Hu,et al. Mapping the height and above‐ground biomass of a mixed forest using lidar and stereo Ikonos images , 2008 .
[3] Holly Croft,et al. Remote sensing of soil surface properties , 2009 .
[4] Michael A. Wulder,et al. Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas , 2002 .
[5] Shunlin Liang,et al. Recent developments in estimating land surface biogeophysical variables from optical remote sensing , 2007 .
[6] J. Burger,et al. Description of the Fork Mountain long-term soil productivity study: site characterization , 2004 .
[7] Terje Gobakken,et al. Lidar sampling — Using an airborne profiler to estimate forest biomass in Hedmark County, Norway , 2012 .
[8] V. L. Mulder,et al. The use of remote sensing in soil and terrain mapping — A review , 2011 .
[9] John D. Elioff,et al. Ten-year results from the long-term soil productivity study in aspen ecosystems of the northern Great Lakes region , 2011 .
[10] Miles A. Hemstrom,et al. Timber volume and aboveground live tree biomass estimations for landscape analyses in the Pacific Northwest. , 2010 .
[11] Philip J. Howarth,et al. Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems , 1999 .
[12] Michael A. Wulder,et al. Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters , 1998 .
[14] Baoxin Hu,et al. Individual Urban Tree Species Classification Using Very High Spatial Resolution Airborne Multi-Spectral Imagery Using Longitudinal Profiles , 2012, Remote. Sens..