Spatial Rice Yield Estimation Using Multiple Linear Regression Analysis, Semi-Physical Approach and Assimilating SAR Satellite Derived Products with DSSAT Crop Simulation Model

Spatial Rice Yield Estimation Using Multiple Linear Regression Analysis, Semi-Physical Approach and Assimilating SAR Satellite Derived Products with DSSAT Crop Simulation Model

Accurate and consistent information on the area and production of field crops is vital for national and state planning and ensuring food security in India. Satellite-based remote sensing offers a suitable and cost-effective technique for regional- and national-scale crop monitoring. The use of remot...

Full description

Bibliographic Details
Main Authors: Sellaperumal Pazhanivelan, Vellingiri Geethalakshmi, R. Tamilmounika, N. S. Sudarmanian, Ragunath Kaliaperumal, Kumaraperumal Ramalingam, A. P. Sivamurugan, Kancheti Mrunalini, Manoj Kumar Yadav, Emma D. Quicho
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Agronomy
Subjects:
synthetic aperture radar
remote sensing
crop growth model
spectral indices
semi-physical approach
fAPAR
Online Access:https://www.mdpi.com/2073-4395/12/9/2008

Internet

https://www.mdpi.com/2073-4395/12/9/2008

Similar Items