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- Title
Second‐Derivative Spectra for Estimating Crop Residue Cover.
- Authors
Su, Haiping; Ransom, Michel D.; Kanemasu, Edward T.; Demetriades‐Shah, Tanvir H.
- Abstract
Estimating crop residue is important for soil conservation and tillage management, and such estimates are used in determining conservation compliance with the U.S. Food Security Act of 1985. This study was conducted to (i) examine the relationship between derivative spectra of reflectance and oat (Avena sativa L.) residue covers and (ii) determine if the relation can be used to estimate oat residue cover from ground‐based reflectance measurements, using broad‐band (MMR) and high‐spectral‐resolution (SE590) instruments. A simple spectral model was proposed to interpret the interaction of solar radiation and crop residue with different soil backgrounds. A spectral derivative technique was applied to the field‐measured reflectance data to minimize the soil background noise and extract information about crop residue. SE590 wavelength at 402 nm and MMR Band 1 (450–520 nm) were the most sensitive. The second‐derivative value, defined as the derivative spectral index, strongly correlated (r2 ≥ 0.85) with oat residue cover using SE590 and MMR data. Four empirical regression equations were developed from the relationship between the derivative spectral index and the oat residue cover from four different data sets. Our results suggest that derivative spectral indices can be useful for estimating fresh oat residue in a disked field. The broad‐band data also can be used to calculate the derivative spectral index for detecting oat residue.
- Publication
Agronomy Journal, 1994, Vol 86, Issue 2, p349
- ISSN
0002-1962
- Publication type
Article
- DOI
10.2134/agronj1994.00021962008600020026x