Abstract
Reflectance factor data were acquired with a Landsat band radiometer, agronomic data collected included leaf area index (LAI) , biomass, development stage, and final grain yields. Single observations of LAI or greenness have limited value in predicting corn yields. Models which simulated the daily effects of weather and intercepted solar radiation on growth had the highest correlations to grain yields. This concept of estimating intercepted solar radiation using spectral data represents a viable approach for merging spectral and meteorological data for crop yield models. -from Authors
| Original language | English (US) |
|---|---|
| Journal | Purdue University, LARS Technical Report |
| Volume | 030182 |
| State | Published - 1982 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 2 Zero Hunger
Fingerprint
Dive into the research topics of 'Spectral estimates of solar radiation intercepted by corn canopies.'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS