Monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam using time-series MODIS data
By Chi-Farn Chen, N. Son, L. Chang. 2012
66 citations recorded by the source corpus.
Subfields: Atmospheric Science, Ecology, Media Technology
View Paper: https://www.semanticscholar.org/paper/27c82d525f83960840fbf4e6d4f506bc4b2811b7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- N. Son
- Cheng-Ru Chen
- Chi-Farn Chen
- L. Chang
- H. Duc
- L. D. Nguyen
Citations in the corpus
- Prediction of rice crop yield using MODIS EVI−LAI data in the Mekong Delta, Vietnam (2013, methodology): “We thus designed a low-pass filter adding these low-frequency IMFs (i.e. third, fourth, and fifth IMFs) and a residue to remove noise (high-frequency components) from the time-series vegetation indices (Chen, Chen, and Son 2012; Chen et al. 2011; Chen, Son, and Chang 2012;).”