LONG TERM SOIL PRODUCTIVITY STUDY USING VERY HIGH SPATIAL RESOLUTION IMAGERY

被引：0

作者：

Zhang, Kongwen ^{[1
,3
]}

Curran, Mike ^{[2
]}

Robinson, Justin ^{[1
]}

Hu, Baoxin ^{[3
]}

机构：

[1] Selkirk Coll, Selkirk Geospatial Res Ctr, 301 Frank Beinder Way, Castlegar, BC, Canada

[2] BC Minst Forests, Kootenary Boundary Region, Nelson, BC, Canada

[3] Univ York, Dept Earth & Space Sci & Engn, Toronto, ON, Canada

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

关键词：

Remote Sensing; soil; very high spatial resolution; longitudinal profile; BIOPHYSICAL PARAMETERS; REMOTE; CLASSIFICATION; BIOMASS;

D O I：

10.1109/IGARSS.2013.6721202

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：501 / 503

页数：3

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