EFFECTS OF THE DIFFERENT PRECIPITATION LEVELS ON SAR DATA

Agricultural monitoring systems based on optical satellite
imagery aim to provide up-to-date information regarding
large scale food production. However, the frequent presence
of clouds during the annual crop cycle in tropical regions
hampers image acquisition and leads to the use of images
from active sensors (Radar), which are less affected by
meteorological conditions such as precipitation. The present
work aimed to identify the impacts of precipitation on the
backscattering coefficient from Sentinel-1, in areas with
agricultural landscape. We found no correlation between the
precipitation and backscattering. In terms of classification
accuracy, looks more advantageous to keep all crop images,
given the greater accuracy and the shorter time in the
processing.