Crop Yield Assessment of Smallholder Farms Using Remote Sensing and Simulation Modelling
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
Title |
Crop Yield Assessment of Smallholder Farms Using Remote Sensing and Simulation Modelling
Not Available |
|
Creator |
V K Sehgal
Debasish Chakraborty R Dhakar Joydeep Mekherjee R N Sahoo |
|
Subject |
Crop yield assessment
Remote sensing Simulation modelling |
|
Description |
Not Available
Among the various constraints experienced by the small farms on their management and policy intervention, an estimate of crop yields is critical for decision-making relating to agro-advisories, crop insurance, resource use, profitability, supply chains, etc. Remotely sensed data could be effectively integrated into empirical models to assess yields. We present a case study to map the wheat yield of small farms over a region using the InfoCrop simulation model and remote sensing derived leaf area index (LAI). The study employed look-up-table (LUT) based inversion of the radiative transfer model approach for estimation of LAI from remote sensing images and used a simulation model to develop empirical biometric relation between simulated LAI and simulated crop yields. The simulation model-derived biometric relation was applied to the farms in a region using remote sensing-derived LAI to estimate work. Both LUT-based LAI estimation and biometric relation-based yield estimation is computationally efficient and showed an accuracy better than 10 percent for the monitored farms. The approach was extended to a large district of Ganganagar in India to capture yield variations in a good crop year versus a bad crop year. The approach presented has the potential for easy adoption for operational use by agencies. Not Available |
|
Date |
2023-06-14T09:43:58Z
2023-06-14T09:43:58Z 2022-04-01 |
|
Type |
Book chapter
|
|
Identifier |
18. Sehgal, V.K., Chakraborty, D., Dhakar, R., Mukherjee, J., Sahoo, R.N. (2022). Crop Yield Assessment of Smallholder Farms Using Remote Sensing and Simulation Modelling. In: Vadrevu, K.P., Le Toan, T., Ray, S.S., Justice, C. (eds) Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries. Springer, Cham. https://doi.org/10.1007/978-3-030-92365-5_23
978-3-030-92364-8 http://krishi.icar.gov.in/jspui/handle/123456789/78348 |
|
Language |
English
|
|
Relation |
Not Available;
|
|
Publisher |
Springer
|
|