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