STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5
Empirical approaches and, more recently, physical approaches, have grounded the establishment of logical connections between radiometric variables derived from remote data and biophysical variables derived from vegetation cover. This study was aimed at evaluating correlations of dendrometric and den...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | Brasil |
| Institución: | Universidade Federal de Lavras (UFLA) |
| Repositorio: | Cerne (Online) |
| Idioma: | inglés |
| OAI Identifier: | oai:cerne.ufla.br:article/804 |
| Acceso en línea: | https://cerne.ufla.br/site/index.php/CERNE/article/view/804 |
| Access Level: | acceso abierto |
| Palabra clave: | Spectral characterization estimate of biophysical data canopy refl ectance. |
| Sumario: | Empirical approaches and, more recently, physical approaches, have grounded the establishment of logical connections between radiometric variables derived from remote data and biophysical variables derived from vegetation cover. This study was aimed at evaluating correlations of dendrometric and density data from canopies of Eucalyptus spp., as collected in Capão Bonito forest unit, with radiometric data from imagery acquired by the TM/Landsat-5 sensor on two orbital passages over the study site (dates close to fi eld data collection). Results indicate that stronger correlations were identifi ed between crown dimensions and canopy height with near-infrared spectral band data (ρs4), irrespective of the satellite passage date. Estimates of spatial distribution of dendrometric data and canopy density (D) using spectral characterization were consistent with the spatial distribution of tree ages during the study period. Statistical tests were applied to evaluate performance disparities of empirical models depending on which date data were acquired. Results indicated a signifi cant difference between models based on distinct data acquisition dates. |
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