Downscaling regional crop yields to local scaleusing remote sensing
Local-scale crop yield datasets are not readily available in most of the developing world. Local-scale crop yield datasets are of great use for risk transfer and risk management in agriculture. In this article, we present a simple method for disaggregation of district-level production statistics over crop pixels by using a remote sensing approach. We also quantified the error in the disaggregated statistics to ascertain its usefulness for crop insurance purposes. The methodology development was attempted in Parbhani district of Maharashtra state with wheat and sorghum crops in the winter season. The methodology uses the ratio of Enhanced Vegetation Index (EVI) of pixel to total EVI of the crop pixels in that district corresponding to the growth phase of the crop. It resulted in the generation of crop yield maps at the 500 m resolution pixel (grid) level. The methodology was repeated to generate time-series maps of crop yield. In general, there was a good correspondence between disaggregated crop yield and sub-district level crop yields with a correlation coefficient of 0.9.
Main Authors: | Shirsath, P.B., Sehgal, V.K., Aggarwal, P.K. |
---|---|
Format: | Article biblioteca |
Language: | English |
Published: |
MDPI
2020
|
Subjects: | CROP YIELD, REMOTE SENSING, PRODUCTION STATISTICS, |
Online Access: | https://hdl.handle.net/10883/20939 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review of the available remote sensing tools, products, methodologies and data to improve crop production forecasts
by: 1423211770618 Khamala, E., et al.
Published: (2017) -
Guidelines on the use of available remote sensing tools, products, methodologies and data to improve agricultural crop production forecast statistics in sub-saharan African countries
by: 1423211770618 Khamala, E., et al.
Published: (2018) -
Remote Sensing Based Yield Model and Application to Major Exporting Countries
by: International Food Policy Research Institute
Published: (2019-11-21) -
Crop planting extraction based on multi-temporal remote sensing data in Northeast China. In Chinese
by: Hao, W., et al.
Published: (2011) -
Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin
by: Xueliang Cai, et al.
Published: (2010-02)