PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidade Federal do Paraná
2018
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| _version_ | 1876450773660860416 |
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| author | João Arthur Pompeu Pavanelli |
| author_facet | João Arthur Pompeu Pavanelli |
| contents | PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON João Arthur Pompeu Pavanelli João Roberto dos Santos Lênio Soares Galvão Maristela Xaud Haron Abrahim Magalhães Xaud Ciencias de la Tierra LULC Random Forest hybrid classification Abstract: In northern Brazilian Amazon, the crops, savannahs and rainforests form a complex landscape where land use and land cover (LULC) mapping is difficult. Here, data from the Operational Land Imager (OLI)/Landsat-8 and Phased Array type L-band Synthetic Aperture Radar (PALSAR-2)/ALOS-2 were combined for mapping 17 LULC classes using Random Forest (RF) during the dry season. The potential thematic accuracy of each dataset was assessed and compared with results of the hybrid classification from both datasets. The results showed that the combination of PALSAR-2 HH/HV amplitudes with the reflectance of the six OLI bands produced an overall accuracy of 83% and a Kappa of 0.81, which represented an improvement of 6% in relation to the RF classification derived solely from OLI data. The RF models using OLI multispectral metrics performed better than RF models using PALSAR-2 L-band dual polarization attributes. However, the major contribution of PALSAR-2 in the savannahs was to discriminate low biomass classes such as savannah grassland and wooded savannah. 2018 artículo científico 1413-4853 https://www.redalyc.org/articulo.oa?id=393956631007 https://www.redalyc.org/journal/3939/393956631007/ https://www.redalyc.org/journal/3939/393956631007/html/ https://www.redalyc.org/journal/3939/393956631007/393956631007.epub https://www.redalyc.org/journal/3939/393956631007/movil 10.1590/S1982-21702018000200017 en http://www.redalyc.org/revista.oa?id=3939 Boletim de Ciências Geodésicas application/pdf Universidade Federal do Paraná Boletim de Ciências Geodésicas (Brasil) Num.2 Vol.24 |
| format | Artículo científico |
| id | redalyc_393956631007 |
| institution | Redalyc |
| language | en |
| publishDate | 2018 |
| publisher | Universidade Federal do Paraná |
| spellingShingle | PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON João Arthur Pompeu Pavanelli Ciencias de la Tierra LULC Random Forest hybrid classification PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON João Arthur Pompeu Pavanelli João Roberto dos Santos Lênio Soares Galvão Maristela Xaud Haron Abrahim Magalhães Xaud Ciencias de la Tierra LULC Random Forest hybrid classification Abstract: In northern Brazilian Amazon, the crops, savannahs and rainforests form a complex landscape where land use and land cover (LULC) mapping is difficult. Here, data from the Operational Land Imager (OLI)/Landsat-8 and Phased Array type L-band Synthetic Aperture Radar (PALSAR-2)/ALOS-2 were combined for mapping 17 LULC classes using Random Forest (RF) during the dry season. The potential thematic accuracy of each dataset was assessed and compared with results of the hybrid classification from both datasets. The results showed that the combination of PALSAR-2 HH/HV amplitudes with the reflectance of the six OLI bands produced an overall accuracy of 83% and a Kappa of 0.81, which represented an improvement of 6% in relation to the RF classification derived solely from OLI data. The RF models using OLI multispectral metrics performed better than RF models using PALSAR-2 L-band dual polarization attributes. However, the major contribution of PALSAR-2 in the savannahs was to discriminate low biomass classes such as savannah grassland and wooded savannah. 2018 artículo científico 1413-4853 https://www.redalyc.org/articulo.oa?id=393956631007 https://www.redalyc.org/journal/3939/393956631007/ https://www.redalyc.org/journal/3939/393956631007/html/ https://www.redalyc.org/journal/3939/393956631007/393956631007.epub https://www.redalyc.org/journal/3939/393956631007/movil 10.1590/S1982-21702018000200017 en http://www.redalyc.org/revista.oa?id=3939 Boletim de Ciências Geodésicas application/pdf Universidade Federal do Paraná Boletim de Ciências Geodésicas (Brasil) Num.2 Vol.24 |
| title | PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON |
| topic | Ciencias de la Tierra LULC Random Forest hybrid classification |
| url | https://www.redalyc.org/articulo.oa?id=393956631007 https://www.redalyc.org/journal/3939/393956631007/ https://www.redalyc.org/journal/3939/393956631007/html/ https://www.redalyc.org/journal/3939/393956631007/393956631007.epub https://www.redalyc.org/journal/3939/393956631007/movil |