Title :
Long Term Soil Productivity study using very high spatial resolution imagery
Author :
Kongwen Zhang ; Curran, Mark ; Robinson, John ; Baoxin Hu
Author_Institution :
Selkirk Geospatial Res. Centre, Selkirk Coll., Castlegar, BC, Canada
Abstract :
Soil productive is critical to Earth surface vegetation management and monitoring with significant environmental and economic value. The human impact has played a very important role in agriculture and forest soil disturbances. In this study, very high spatial resolution multi-spectral imagery was investigated for its value and potential in soil treatment study. Individual tree height and DBH were retrieved from the imagery and was used to estimate the biomass, which is expected to be important indicator of ground soil treatment. Controlled ground experimental sites were used to validate the result and preliminary results have shown the biomass can´t directly reflect the tree health condition. The normalized year difference would be a much better indicator for this study.
Keywords :
remote sensing; soil; vegetation; Earth surface vegetation management; Earth surface vegetation monitoring; agriculture soil disturbances; controlled ground experimental sites; economic value; environmental value; forest soil disturbances; ground soil treatment; multispectral imagery; soil productivity study; spatial resolution imagery; tree health condition; Biomass; Hyperspectral sensors; Productivity; Soil; Spatial resolution; Vegetation; Remote Sensing; longitudinal profile; soil; very high spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721202