VOLUMETRIC MODELING OF Pinus taeda L. FROM ORBITAL IMAGES
نویسندگان
چکیده
This work aimed to investigate the potential of image-derived indices derived from Sentinel-2/MSI images in volumetric modeling a stand Pinus taeda L. located Bom Retiro, State Santa Catarina. For this purpose, field data forest inventory were used, by fixed area method and simple random sampling with an allocation 18 circular plots 400 m². The remotely comprised orbital image sensor. From image, 14 average vegetation per plot calculated. These correlated volume (m³ 0.04 ha-1) inventory. best correlation for Generalized Difference Vegetation Index (GDVI) Adjusted Soil (SAVI) 0.39 0.36, respectively. regression model completed using these VIs estimated R² controls 0.9402 Syx 1.44%. use spectral generated sensor enabled estimate stand, not revealing differences between accumulated images. However, it is worth pointing out that new tests be carried on other species medium high spatial resolution sensors.
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ژورنال
عنوان ژورنال: Biofix Scientific Journal
سال: 2022
ISSN: ['2525-9725']
DOI: https://doi.org/10.5380/biofix.v7i1.82066