2. Data preprocessing: Similar to those for cropland mapping, data preprocessing
for geometric correction, radiometric correction, and cloud masking is needed.
The monitoring of the crop status requires a time series of remotely sensed
observations to be used. Often the minimally required periods on time series
covers the growing season of a crop. In addition, the “normal” values to represent
the typical crop status at a location need to deal with data across years, which may
lead to the use of observations across generations of sensors or even different
Fig. 10.4 A general workflow for crop status monitoring with remote sensing
Table 10.3 Selected satellite sensors for crop status monitoring
Sensor
Resolution
References
Spatial
Temporal Radiometric
AVHRR
1 km
Daily
6 bands
Rembold et al. (2013)
MODIS
250 m,
500 m
Daily
2 bands +5 bands +29
bands
Yang et al. (2011b)
RapidEye
5 m
1 day/
5 day
5 bands
Kim and Yeom (2015)
SPOT-VEGETA
TION
1.15 km
1 day
4 bands
Becker-Reshef et al.
(2010a)
MERIS
1.2 km
3 day
15 bands
Wu et al. (2014)
186
E. G. Yu and Z. Yang