Publication
Estimation of water consumption of eucalyptus using images from orbital sensors
| Summary: | The planting of Eucalyptus around the world has generated numerous discussions caused by the effects of its implementation and its environmental impacts caused in the ecosystem and water availability in the environment. Evapotranspiration (ET) is a primary parameter for most studies involving water resources, as it represents the main water loss in the hydrological cycle and presents a complex structure of interaction with the ecosystem, and is strongly influenced by the environment and human activity. Remote sensing aids in obtaining ET estimates over large areas and offers results with a high degree of confidence and speed. The objective of this work was to estimate the evapotranspiration of a reforested area (eucalyptus) and Brazilian savanna, in the city of São João do Paraiso/MG, using orbital images from the LANDSAT 8 satellite processed through the Mapping Evapotranspiration with Internalized Calibration (METRIC) algorithm in the Google Earth Engine platform, Earth Engine Evapotranspiration Flux EEFLUX. The data were processed and the average ET values for the areas were obtained. The eucalyptus plantation area (reforestation) obtained lower average evapotranspiration when compared to the and Brazilian savanna, area, however the unpaired Student's t-test was applied, and it was obtained that the averages are statistically equal in the evaluated period, it was observed higher ET values in the summer period being the variation of evapotranspiration related to the availability of radiation. The use of the METRIC algorithm, associated with the EEFLUX application, proved to be satisfactory for the study of evapotranspiration in watersheds, and may help to manage water resources more efficiently. |
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| Main Authors: | Dias, Thalles Loiola |
| Other Authors: | Vicente, Marcelo Rossi; Santos, Ronaldo Medeiros dos; Lima, Vinicius Orlandi Barbosa; Nunes, Sâmara Magdalene Vieira |
| Subject: | SIG Percepción Remota Metric Google Earth Engine Eeflux. Remote sensing Metric Google Earth Engine GIS Eeflux. Sensoriamento Remoto Metric Google Earth Engine SIG Eeflux. |
| Year: | 2022 |
| Country: | Brazil |
| Document type: | article |
| Access type: | unknown |
| Associated institution: | IBICT |
| Language: | Portuguese |
| Origin: | Oasisbr |
| Summary: | The planting of Eucalyptus around the world has generated numerous discussions caused by the effects of its implementation and its environmental impacts caused in the ecosystem and water availability in the environment. Evapotranspiration (ET) is a primary parameter for most studies involving water resources, as it represents the main water loss in the hydrological cycle and presents a complex structure of interaction with the ecosystem, and is strongly influenced by the environment and human activity. Remote sensing aids in obtaining ET estimates over large areas and offers results with a high degree of confidence and speed. The objective of this work was to estimate the evapotranspiration of a reforested area (eucalyptus) and Brazilian savanna, in the city of São João do Paraiso/MG, using orbital images from the LANDSAT 8 satellite processed through the Mapping Evapotranspiration with Internalized Calibration (METRIC) algorithm in the Google Earth Engine platform, Earth Engine Evapotranspiration Flux EEFLUX. The data were processed and the average ET values for the areas were obtained. The eucalyptus plantation area (reforestation) obtained lower average evapotranspiration when compared to the and Brazilian savanna, area, however the unpaired Student's t-test was applied, and it was obtained that the averages are statistically equal in the evaluated period, it was observed higher ET values in the summer period being the variation of evapotranspiration related to the availability of radiation. The use of the METRIC algorithm, associated with the EEFLUX application, proved to be satisfactory for the study of evapotranspiration in watersheds, and may help to manage water resources more efficiently. |
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Funded activities
No funded projects found.