Seasonal Forest Basal Area Estimates from Smartphone and Professional LiDAR in Romania
by Jenny Magaly Morocho Toaza·Updated 23d ago
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Description
Jenny Magaly Morocho Toaza published data evaluating seasonal performance of basal area estimation using a smartphone LiDAR app and a professional scanner. The study collected data from 50 circular plots in heterogeneous mountain forests near Brașov, Romania, across four phenological stages: winter, spring, summer, and autumn. Results include bias, mean absolute error, root mean square error, and acquisition time comparisons between the two systems.
Use Cases
Compare smartphone-based and professional LiDAR system accuracy for forest inventory based on seasonal performance metrics.
Analyze the impact of phenological stages on remote sensing measurement agreement based on data collected in winter, spring, summer, and autumn.
Evaluate operational efficiency of forest data acquisition based on the comparison of acquisition times between systems.
Model stand-level basal area in complex terrain based on data from plots on slopes of 8°–42° in mixed species stands.
Strengths
Data collected from 50 circular plots (300 m² each) providing a basis for statistical analysis.
Longitudinal repeated-measures design across four distinct phenological stages (WI, SP, SU, AU).
Includes specific error metrics (e.g., RMSE = 0.093 m² in winter) and statistical test results (p-values).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data is limited to a specific geographic region (mountain forests near Brașov, Romania).
Provenance
Source
Jenny Magaly Morocho Toaza via figshare
Collection Method
Data collected using TreeScanner smartphone LiDAR application and FJD Trion P1 professional personal laser scanning system.
Time Range
Covers four phenological stages: winter, spring, summer, autumn.
Freshness
Last updated 2026-05-13 04:45:26; freshness should be verified.
Geography
50 plots in heterogeneous mountain forests near Brașov, Romania.
Primary data file is a DOCX document (944.5 KB), not a standard data format like CSV; data extraction may be required.