Remote sensing of soybean canopy as a tool to map high pH, calcareous soils at field scale

Remote sensing of soybean canopy as a tool to map high pH, calcareous soils at field scale Soybean (Glycine max Merr.) is extensively grown in areas of the US Corn Belt where soils often range from relatively acid (pH < 6) to alkaline, calcareous. Iron availability decreases with increase in pH, consequently, soybean can suffer from iron deficiency chlorosis on high pH, calcareous areas of the field. The extent of those areas sometimes can be significant, but they often occur in complex and discontinuous patterns. The objective of the research was to explore how remote sensing of soybean canopies and GIS technologies could be used to map and quantitatively describe the extent of high pH, calcareous soils at field scale. Aerial images that consisted of visible red, green, blue, and near infrared bands were used to calculate green normalized difference vegetative index (GNDVI) and to guide plant and soil sampling at 10 fields during 2003 and 2004 growing seasons. Ten to 18 sampling areas were selected on each field to include a wide range in GNDVI values. Soil samples were analyzed for pH and calcium carbonate equivalent (CCE). Plant samples were used to estimate grain yields. Soil pH and CCE were significantly correlated with GNDVI values in eight and seven sites, respectively. A previously developed alkalinity stress index (ASI), which combines pH and CCE in one value, was significantly related to GNDVI at all 10 sites. Remote sensing of soybean canopy was shown to be a promising tool that can be used to quantitatively describe distribution of alkaline soils at field scale. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Remote sensing of soybean canopy as a tool to map high pH, calcareous soils at field scale

Loading next page...
 
/lp/springer_journal/remote-sensing-of-soybean-canopy-as-a-tool-to-map-high-ph-calcareous-HWpuzsODa0
Publisher
Springer US
Copyright
Copyright © 2008 by Springer Science+Business Media, LLC
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-008-9087-8
Publisher site
See Article on Publisher Site

Abstract

Soybean (Glycine max Merr.) is extensively grown in areas of the US Corn Belt where soils often range from relatively acid (pH < 6) to alkaline, calcareous. Iron availability decreases with increase in pH, consequently, soybean can suffer from iron deficiency chlorosis on high pH, calcareous areas of the field. The extent of those areas sometimes can be significant, but they often occur in complex and discontinuous patterns. The objective of the research was to explore how remote sensing of soybean canopies and GIS technologies could be used to map and quantitatively describe the extent of high pH, calcareous soils at field scale. Aerial images that consisted of visible red, green, blue, and near infrared bands were used to calculate green normalized difference vegetative index (GNDVI) and to guide plant and soil sampling at 10 fields during 2003 and 2004 growing seasons. Ten to 18 sampling areas were selected on each field to include a wide range in GNDVI values. Soil samples were analyzed for pH and calcium carbonate equivalent (CCE). Plant samples were used to estimate grain yields. Soil pH and CCE were significantly correlated with GNDVI values in eight and seven sites, respectively. A previously developed alkalinity stress index (ASI), which combines pH and CCE in one value, was significantly related to GNDVI at all 10 sites. Remote sensing of soybean canopy was shown to be a promising tool that can be used to quantitatively describe distribution of alkaline soils at field scale.

Journal

Precision AgricultureSpringer Journals

Published: Oct 2, 2008

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off