CICYTTP   12500
CENTRO DE INVESTIGACION CIENTIFICA Y DE TRANSFERENCIA TECNOLOGICA A LA PRODUCCION
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Aplicación de índices de área quemada en la cuenca del Río Gualeguay, Entre Ríos
Autor/es:
QUIGNARD, I.; SIONE, W. F.,; ACEÑOLAZA, P.G.; ZAMBONI L. P.
Lugar:
Iguazu
Reunión:
Simposio; XVII Simposio Latinoamericano de Percepción Remota; 2016
Institución organizadora:
SELPER-UNLU-UADER
Resumen:
The use of remote sensing for the detection of burned areas has developed in recent decades. Indices and variables derived from medium and high resolution remote sensing are presented as alternatives for mapping burned area. However, many indices need local thresholds to determinate local types and severities of fires in a region. Therefore, it was proposed to evaluate different indices using scenes of Landsat 8 and Sentinel 2 satellites, so they can be applied in different environments of the region and allow proper identification of the areas that have fire scars. The study area is the Gualeguay River Basin. This is a watershed with North / South development; it is entirely within the territory of the province of Entre Rios (Argentina), linking the biogeographic region Espinal, the Pampeana and Islands of Parana, conforming a water system that conducts its waters to the Parana River Delta. The indices used were: a) Burnt Area Index (BAI); b) Normalized Burn Ratio (NBR), and c) the normalized difference vegetation index (NDVI). Values were calculated and subsequently cut thresholds were applied based on field samples. Accuracy was estimated. Sensors and indices were able to recognize burned areas; each one show different degrees of error. The results obtained by the Landsat 8 satellite images stand above those calculated with images of Sentinel 2 A. These differences were also observed in the highest percentages of overall reliability of NBR (Normalized Burn Ratio) and Baim index (Burn Area Index for Modis), as well as accuracy in calculating the index Baim Landsat 8.