Baseline estimates of soil organic carbon by proximal sensing: Comparing design-based, model-assisted and model-based inference
For baselining and to assess changes in soil organic carbon (C) we need efficient soil sampling designs and methods for measuring C stocks. Conventional analytical methods are time-consuming, expensive and impractical, particularly for measuring at depth. Here we demonstrate the use of proximal soil...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier Science
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/74034 |