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

Abstract

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.

Pemanfaatan Wahana Drone Untuk Pemetaan Kawasan Mangrove Di Kabupaten Pangkep

“…Pemantauan kawasan pesisir dengan bantuan drone sangat membantu karena resolusi citra yang tinggi yaitu berskala centimeter setiap pixelnya. Resolusi sangat tinggi citra multispektral yang diperoleh dari UAV dapat membantu dalam menilai dan memantau vegetas i (Abdullah et al, 2021). resolusi spasial yang sangat tinggi sangat penting untuk pemetaan akurat jenis pohon hutan menggunakan data RGB.…”

High-Resolution Mapping of Shrub Biomass in Arid and Semi-Arid Environments by Integrating Remote Sensing Observations across Multiple Spatial Scales

“…Unmanned aerial vehicles (UAVs) are also essential in the estimation of shrub biomass due to their ability to provide detailed information and significant advantages [36,37]. Equipped with highresolution sensors and advanced image processing techniques, UAVs can capture high-quality remote sensing imagery, offering comprehensive data on shrub vegetation [38,39].…”

A New Method for Reconstructing Tree-Level Aboveground Carbon Stocks of Eucalyptus Based on TLS Point Clouds

“…Largescale mapping of forest carbon stocks requires validation and calibration of individual tree carbon stocks. Studies estimating biomass carbon stocks using Global Ecosystem Dynamics Investigation GEDI, ICESat-2, GLAS, optical satellite imagery, SAR data, and airborne laser scanning (ALS) data, either alone or in combination with parametric and non-parametric techniques, have been developed at a range of spatial resolutions, forest types, and ecosystems [8,[10][11][12][13]. In addition, machine learning techniques can be combined to bring accurate measurements of forest canopy height and carbon stocks to large-scale, more efficient, and operational forest mitigation assessments.…”