| Estimating the forest stand volume and basal area using Pleiades spectral and auxiliary data |
| Paper ID : 1211-SMPR |
| Authors: |
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mozhgan zahribanhesari *1, Asghar fallah2, shaban shataee joibary3, siavash kalbi4, Henrik Persson5 1Basij Sq, Gorgan University of Agricultural Sciences & Natural Resources
Gorgan University of Agricultural Sciences & Natural Resources 2Sari, Sari University of Agricultural Sciences and Natural Resources 3Basij Sq, Gorgan University of Agricultural Sciences & Natural Resources Gorgan University of Agricultural Sciences & Natural Resources 4Sari University of Agricultural Sciences and Natural Resources 5Skogsmarksgränd, Umeå |
| Abstract: |
| The aim of this study was to evaluate the improvements of volume and basal area estimations, when spectral data from the Pléiades were complemented with auxiliary data. The study area was located in the Darabkola's forest of Sari, Iran. In-situ data were collected for 144 circular sample plots, with 17.84 m radius, which were distributed using a simple random sampling design. Tree information included diameter at breast height (DBH) of all trees within the sample plots, and the height of some trees. By using DBH and tree height, the volume and basal area per hectare was also computed for each plot. Geometric and radiometric corrections of spectral data were applied to the images. In addition, the auxiliary maps of slope, aspect, elevation, soil pH and texture (through ground sampling and interpolation), precipitation and temperature (through interpolation of climate stations) were prepared. Digital values corresponding to ground plots were extracted from spectral bands and auxiliary data and considered as independent variables while volume and basal area were selected as dependent variables. The forest modeling was carried out using a non-parametric method of random forest (RF), using 70% of the sample plots as training data. The results were validated using the remaining 30% sample plots. The results indicated that by using both spectral and auxiliary data, the RMSE was reduced by 5% compared to using only spectral data for volume modeling. The corresponding advantage of using both spectral and auxiliary data was 1% to 3% when basal area was modeled. |
| Keywords: |
| Pleiades; Auxiliary data; Spectral data; Nonparametric methods; Volume; Basal area |
| Status : Conditional Accept (Oral Presentation) |
