The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs

Unmanned Aerial Vehicles (UAVs) have started to receive more attention in the ecological field in the past 15 years, as they provide very high-resolution imagery that ranges from meters to millimeters. Very high-resolution multispectral imagery obtained from UAVs can help in assessing and monitoring native desert vegetation. Thus, this study use UAVs to develop a method to estimate the biomass and carbon stock of native desert shrubs. The method integrates different techniques and software to monitor native plants' coverage, biomass, and carbon stock. The techniques used in this work are also applicable for other native desert shrubs in the region and could support ecosystem managers in assessing and monitoring arid ecosystems and restoration and revegetation programs. A three-stage image and data management are discussed, including: (1) fieldwork and image acquisition using UAVs, (2) image pre-processing, and (3) image processing using different techniques and software. Determining shrub biomass is not restricted to multispectral data only but could be applicable for RGB data since it mainly depends on the DSM and DTM. Allometric parameters could help in estimating desert shrub biomass which could be measured easily and rapidly using UAV imagery. SVM Supervised classification could help in distinguishing between native shrubs and grasses. (C) 2021 Published by Elsevier B.V.

Automated summary

This study utilizes UAV technology to develop a method for estimating and monitoring the biomass and carbon stock of desert shrubs, providing ecosystem managers with an effective tool for assessment and monitoring.