Assimilation of Remote Sensing Data into Crop Growth Model for Yield Estimation: A Case Study from India

• Published in: Journal of the Indian Society of Remote Sensing Vol. 50; no. 2; pp. 257 - 270
• Main Authors: Gumma, Murali Krishna, Kadiyala, M. D. M., Panjala, Pranay, Ray, Shibendu S., Akuraju, Venkata Radha, Dubey, Sunil, Smith, Andrew P., Das, Rajesh, Whitbread, Anthony M.
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.02.2022; Springer Nature B.V
• Subjects: Agricultural production; Appraisals; case studies; Crop growth; Crop insurance; Crop management; crop models; Crop yield; Data collection; Earth and Environmental Science; Earth Sciences; equations; Growth models; India; Information management; Landsat; Leaf area index; Leaves; Logistics management; Nutrient transport; Parameterization; Remote observing; Remote sensing; Remote Sensing/Photogrammetry; Research Article; Simulation; Time series; time series analysis; Vegetation index; villages; India; Leaf area index (LAI); Sentinel-2; Crop classification; Landsat 8 and India; Remote sensing; Crop cutting experiments (CCEs); Yield assessment
• ISSN: 0255-660X; 0974-3006
• DOI: 10.1007/s12524-021-01341-6

Crop yield estimation is important to inform logistics management such as the prescription of nutrient inputs, financing, storage and transport, marketing as well as to inform for crop insurance appraisals due to loss incurred by abiotic and biotic stresses. In this study, we used a suite of methods...