LAND COVER MAPPING IN THE BRAZILIAN PAMPA WITH LANDSAT OLI AND TIRS BANDS

نویسندگان

چکیده

When different time periods are considered, detection of past and present changes in land cover enabled, also for quantifying qualifying those changes. Land cover/use maps the primary tools management conservation natural man-made areas. For this, remote sensing bands reflected spectrum usually used, leaving aside thermal data. The objective this work was to evaluate inclusion band (b10) TIRS (Thermal Infrared Sensor) sensor landsat 8 satellite increase accuracy Pampa biome from object-oriented classification. development research, 11 scenes Landsat 8, OLI were used. Thus, 14 cells selected Brazilian Pampa, totaling 5% its area. following steps performed: obtaining surface temperature (LST) data vegetation indices; preparation; classification; validation with 1354 reference points analysis results. results showed that insertion bands, especially dates, increased discrimination among classes. classification presented 86% global accuracy. Therefore, it is recommended insert mapping environmental monitoring

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ژورنال

عنوان ژورنال: Geociências

سال: 2022

ISSN: ['0101-9082', '1980-900X']

DOI: https://doi.org/10.5016/geociencias.v40i04.15930