Monitoramento da fenologia de culturas através de Sensoriamento Remoto
The monitoring of agriculture practices (e.g. sowing dates or double cropping systems) are considered a relevant research issue in Remote Sensing. The objective of this paper is to test the potential of MODIS satellite data to detect vegetation dynamics over agricultural land, focusing on the estimate of the sowing dates of soybean crops. First, the MODIS MCD12Q2 product, composed of phenology transition dates, was tested, although it had good results by the group in Africa (Mali), it turned out to be unusable due to a large number of missing data and inconsistencies in our study area, Mato Grosso (Brasil). An alternative method, based on the MOD13Q1 Enhanced Vegetation Indices (EVI) time series was developed. We applied a 3x3 window Savitzky- Golay filter to the EVI time series, and extracted the 2006-2007 growing period. We then calculated the dates at which different EVI values were reached (from 0.1 to 0.9, step 0.1), and correlated these dates to a set of sowing dates observed in the fields over the same period. Further studies based on this method can be used to come up with a sowing mapping for agriculture planning, monitoring the date of plantation, correlating it with yield and also be used as an input for crop modeling.
| Main Authors: | , , , |
|---|---|
| Format: | conference_item biblioteca |
| Language: | por |
| Published: |
s.n.
|
| Subjects: | U30 - Méthodes de recherche, F01 - Culture des plantes, U10 - Informatique, mathématiques et statistiques, |
| Online Access: | http://agritrop.cirad.fr/569395/ http://agritrop.cirad.fr/569395/1/document_569395.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The monitoring of agriculture practices (e.g. sowing dates or double cropping systems) are considered a relevant research issue in Remote Sensing. The objective of this paper is to test the potential of MODIS satellite data to detect vegetation dynamics over agricultural land, focusing on the estimate of the sowing dates of soybean crops. First, the MODIS MCD12Q2 product, composed of phenology transition dates, was tested, although it had good results by the group in Africa (Mali), it turned out to be unusable due to a large number of missing data and inconsistencies in our study area, Mato Grosso (Brasil). An alternative method, based on the MOD13Q1 Enhanced Vegetation Indices (EVI) time series was developed. We applied a 3x3 window Savitzky- Golay filter to the EVI time series, and extracted the 2006-2007 growing period. We then calculated the dates at which different EVI values were reached (from 0.1 to 0.9, step 0.1), and correlated these dates to a set of sowing dates observed in the fields over the same period. Further studies based on this method can be used to come up with a sowing mapping for agriculture planning, monitoring the date of plantation, correlating it with yield and also be used as an input for crop modeling. |
|---|