Description
This chapter explores the digital tools for assessing soil organic carbon at farm and regional scale. It first reviews monitoring, reporting and verification frameworks, which is then followed by a discussion of the sampling strategies that can be used for soil organic carbon estimation. A section on data source integration is also provided, followed by a review of the effects of moisture on soil colour. The chapter also examines model calibration, proximal sensing, tools and frameworks available for soil organic carbon estimation.
Table of contents
1 Introduction
2 Monitoring, reporting and verification frameworks
3 Sampling strategies
4 Integration of data sources
5 Effects of moisture on soil colour
6 Depth
7 Model calibration
8 Proximal sensing
9 Tools and frameworks
10 Knowledge gaps and uncertainties
11 Where to look for further information
12 References