Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images
The main objective of this study is to obtain the spatial distribution of net radiation (RN) in two contrasting vegetation covers (forest and pasture) through the SEBAL algorithm, and to analyze its performance when applied to tropical humid atmospheric conditions. This study was conducted in the st...
| Autor principal: | Santos, Carlos Antonio Costa dos |
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| Outros Autores: | Nascimento, R. L. do, Rao, Tantravahi Venkata Ramana, Manzi, Antônio Ocimar |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Atmosfera
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/18116 |
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oai:repositorio:1-18116 |
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dspace |
| spelling |
oai:repositorio:1-18116 Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images Santos, Carlos Antonio Costa dos Nascimento, R. L. do Rao, Tantravahi Venkata Ramana Manzi, Antônio Ocimar Algorithm Convective Cloud Digital Elevation Model Evapotranspiration Humid Environment Landsat Thematic Mapper Net Radiation Parameterization Pasture Rainforest Remote Sensing Satellite Imagery Spatial Distribution Spatial Variation Vegetation Cover Amazonia Brasil Rondonia The main objective of this study is to obtain the spatial distribution of net radiation (RN) in two contrasting vegetation covers (forest and pasture) through the SEBAL algorithm, and to analyze its performance when applied to tropical humid atmospheric conditions. This study was conducted in the state of Rondônia in northwestern Brazil, using four Landsat TM images, as well as, digital elevation model data. The correlation coefficients between estimated (SEBAL) and measured values of RN, and surface albedo are of 0.97 and 0.88, respectively. These results present SEBAL as an important tool to be used in hydrological and environmental studies, and to obtain coherent temporal and spatial variations of surface characteristics, helping in the improvement and validation of model parameterizations. However, the applications of remote sensing techniques in tropical humid climates are difficult, because of the existence of a constant presence of convective clouds. 2020-06-15T21:51:46Z 2020-06-15T21:51:46Z 2011 Artigo https://repositorio.inpa.gov.br/handle/1/18116 en Volume 24, Número 4, Pags. 435-446 Restrito Atmosfera |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Algorithm Convective Cloud Digital Elevation Model Evapotranspiration Humid Environment Landsat Thematic Mapper Net Radiation Parameterization Pasture Rainforest Remote Sensing Satellite Imagery Spatial Distribution Spatial Variation Vegetation Cover Amazonia Brasil Rondonia |
| spellingShingle |
Algorithm Convective Cloud Digital Elevation Model Evapotranspiration Humid Environment Landsat Thematic Mapper Net Radiation Parameterization Pasture Rainforest Remote Sensing Satellite Imagery Spatial Distribution Spatial Variation Vegetation Cover Amazonia Brasil Rondonia Santos, Carlos Antonio Costa dos Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images |
| topic_facet |
Algorithm Convective Cloud Digital Elevation Model Evapotranspiration Humid Environment Landsat Thematic Mapper Net Radiation Parameterization Pasture Rainforest Remote Sensing Satellite Imagery Spatial Distribution Spatial Variation Vegetation Cover Amazonia Brasil Rondonia |
| description |
The main objective of this study is to obtain the spatial distribution of net radiation (RN) in two contrasting vegetation covers (forest and pasture) through the SEBAL algorithm, and to analyze its performance when applied to tropical humid atmospheric conditions. This study was conducted in the state of Rondônia in northwestern Brazil, using four Landsat TM images, as well as, digital elevation model data. The correlation coefficients between estimated (SEBAL) and measured values of RN, and surface albedo are of 0.97 and 0.88, respectively. These results present SEBAL as an important tool to be used in hydrological and environmental studies, and to obtain coherent temporal and spatial variations of surface characteristics, helping in the improvement and validation of model parameterizations. However, the applications of remote sensing techniques in tropical humid climates are difficult, because of the existence of a constant presence of convective clouds. |
| format |
Artigo |
| author |
Santos, Carlos Antonio Costa dos |
| author2 |
Nascimento, R. L. do Rao, Tantravahi Venkata Ramana Manzi, Antônio Ocimar |
| author2Str |
Nascimento, R. L. do Rao, Tantravahi Venkata Ramana Manzi, Antônio Ocimar |
| title |
Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images |
| title_short |
Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images |
| title_full |
Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images |
| title_fullStr |
Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images |
| title_full_unstemmed |
Net radiation estimation under pasture and forest in rondônia, Brazil, with TM landsat 5 images |
| title_sort |
net radiation estimation under pasture and forest in rondônia, brazil, with tm landsat 5 images |
| publisher |
Atmosfera |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/18116 |
| _version_ |
1787145275935031296 |
| score |
11.675088 |