A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals

Abstract

In this study, we conducted an empirical investigation on mobile global navigation satellite system (GNSS) transmissometry (GNSS-T) measurements to explore vegetation optical depth (VOD). Our approach involved using a dual-receiver setup, with one receiver located in open terrain to capture direct signals as a reference and another deployed on an unmanned ground vehicle (UGV) to sample vegetation across expansive forested regions. Noteworthy findings reveal the negligible influence of ground multipath effects within these forested terrains, effectively resulting in sampling the forest canopy rather than the ground itself as the receiver moves. The UGV-based method also uncovers VOD fluctuations inside the forest, offering insights into spatial distribution and the influence of satellite position on VOD measurements. The study further examines the effect of tree heterogeneity and seasonal dynamics on the VOD estimates. This empirical study contributes to our understanding of the VOD mapping capabilities of the mobile GNSS-T approach and can potentially lead to nonintrusive quantification of vegetation water content at a landscape scale in forest terrains. These results are significant for advancing our knowledge of forest ecosystem dynamics and sustainable resource management.

Keywords

• Global navigation satellite system transmissometry (GNSS-T)
• soil moisture
• unmanned ground vehicle (UGV)
• vegetation optical depth (VOD)
• vegetation water content (VWC)