Estimation of Net Rice Production by Remote Sensing and Multi Source Datasets
Syed Muhammad Hassan Raza1*, Syed Amer Mahmood1, Syeeda Areeba Gillani1, Syed Shehzad Hassan1, Muneeb Aamir1, Muhammad Saifullah1, Mubashar Basheer1, Atif Ahmad1, Saif-ul-Rehman2 and Tariq Ali1
1RS/GIS group, Space Science Department, Punjab University Lahore, Pakistan; 2Department of Geography Government College University Lahore.
smhn72@gmail.com
Figure 1
Map of Punjab province in Pakistan.
Figure 2
Flow of methodology
Figure 3
A composite containing 15 bands.
Figure 4
Linear regression applied to NDVI values and the CRS reported yield.
Figure 5
Linear regression applied to RVI values and the CRS reported yield.
Figure 6
Relationship between NDVI and RVI based yield values.
Figure 7
Spatio-temporal extent of rice cultivation from 2008-2016.
Figure 8
A comparison of rice areas.
Figure 9
Linear regression applied to satellite verses CRS reported rice areas.
Figure 10
Variations in NDVI throughout the rice growth period including pre-plantationflooding,_vegetative stage, reproductive stage and the ripening stage.