Modelling Potential Vegetation Index for Paddy Field Mapping in Malaysia Using Satellite Imagery

Author:

Ahmad Fauzi Ahmad Bashir1,Ibrahim Azhar Mohd1,Khan Mazbahur Rahman1,Mardzuki Muhammad Imran1

Affiliation:

1. International Islamic University Malaysia,Advanced Multi Agent System Lab,Department of Mechatronics Engineering,Kuala Lampur,Malaysia

Publisher

IEEE

Reference14 articles.

1. The role of institutional support in Malaysias paddy and rice industry;Harun;FFTC Agricultural Policy Articles. MARD I. (Estimation of Rice Evapotranspiration in Paddy Fields Using Remote Sensing and Field Measurements Hassan Saad Mohammed Hilmi.,2017

2. Paddy field mapping using UAV multi-spectral imagery;Supriatna;International Journal of GEOMATE,2019

3. Mapping Paddy fields in Japan by using a Sentinel-l SAR time series supplemented by Sentinel-2 images on Google Earth Engine;Inoue;Remote Sensing,2020

4. Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data

5. Performances of vegetation indices on paddy rice at elevated air temperature, heat stress, and herbicide damage;Ryu,2020

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