Abstract | ||
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This paper presents an analysis of relation between EVI and TRMM data to improve the monitoring of sugarcane production in south-central Brazil. As this region has a deficient network of ground-based meteorological stations, we proposed to use TRMM satellite data in order to complete lack of data. As both data from TRMM and meteorological ground-based stations presented a high correlation, as well as there are cross-correlation between precipitation and vegetation index data, we proposed a formula to estimate EVI values from TRMM precipitation series. Results indicate the potential of using medium spatial resolution satellite in agriculture specially to regional monitoring in a country of continental dimensions such as Brazil. |
Year | DOI | Venue |
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2012 | 10.1109/IGARSS.2012.6352084 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
atmospheric precipitation,crops,data analysis,environmental monitoring (geophysics),sugar,EVI estimation,TRMM satellite data,agriculture,continental dimensions,ground-based meteorological stations,medium spatial resolution satellite,precipitation,regional monitoring,southcentral Brazil,sugarcane monitoring,sugarcane production,vegetation index data,Vegetation Index,crops yields,cross-correlation,precipitation,time series | Meteorology,Satellite,Vegetation Index,Computer science,Remote sensing,Satellite data,Precipitation | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Renata Ribeiro do Valle Gonçalves | 1 | 3 | 2.56 |
Jurandir Zullo Jr. | 2 | 19 | 4.70 |
Priscila P. Coltri | 3 | 4 | 2.58 |
Luciana A. S. Romani | 4 | 23 | 9.42 |
Zullo, J. | 5 | 0 | 0.34 |