Spatial analyses to evaluate multi-crop yield stability for a field

This paper proposes that yield stability patterns exist for multiple crops planted on the same land area over a period of years that growers can use to their advantage in planning crop management strategies using precision agriculture technologies. This study examines the relationship of soil elevation, slope, aspect and curvature to crop yield stability using a digital elevation model of the study area derived from a precise light detection and ranging (LIDAR) image of the farming area and surroundings. Three crop years of cotton and two crop years of corn yields were used to evaluate this hypothesis. The interpolation methods of Inverse Distance Weighted (IDW), simple Kriging and Natural Neighbor found in ESRI's ARCGIS were used to produce crop yield maps. These methods were also compared in the analysis. Simple Kriging gave the best R^2 estimates of yield as a function of elevation, slope, curvature and aspect. When the SAS FastCluster procedure was used to group yield points together using topographical features, the resulting regression analyses R^2 values of yield as a function of elevation, aspect, curvature and slope by cluster number were improved.

[1]  Damir Latypov,et al.  Estimating relative lidar accuracy information from overlapping flight lines , 2002 .

[2]  R. G. Spomer,et al.  Soil Productivity and Erosion of Iowa Loess Soils , 1982 .

[3]  Lee A. Graham,et al.  Chapter 4. Use of LIDAR to determine vegetation vertical distribution in areas of potential black-capped vireo habitat at Fort Hood, Texas , 2003 .

[4]  G. Vosselman.  ON THE ESTIMATION OF PLANIMETRIC OFFSETS IN LASER ALTIMETRY DATA , 2002 .

[5]  Gary A. Peterson,et al.  Soil Attribute Prediction Using Terrain Analysis , 1993 .

[6]  G. Robertson,et al.  Management, topographical, and weather effects on spatial variability of crop grain yields , 2005 .

[7]  E. R. Stoner,et al.  REFLECTANCE PROPERTIES OF SOILS , 1986 .

[8]  Thomas S. Colvin,et al.  YIELD VARIABILITYWITHINACENTRAL IOWA FIELD , 1997 .

[9]  Newell R. Kitchen,et al.  Multidisciplinary Teams: A Necessity for Research in Precision Agriculture Systems , 2007 .

[10]  Dennis Timlin,et al.  Spatial and temporal variability of corn grain yield on a hillslope , 1998 .

[11]  Derek D. Lichti,et al.  Rigorous approach to bore-sight self-calibration in airborne laser scanning , 2006 .

[12]  J. R. Jensen.  Remote Sensing of the Environment: An Earth Resource Perspective , 2000 .

[13]  D. Karlen,et al.  Relationship Between Six Years of Corn Yields and Terrain Attributes , 2003, Precision Agriculture.

[14]  A. Y. Hanna,et al.  Soil Available Water as Influenced by Landscape Position and Aspect1 , 1982 .

[15]  D. R. Nielsen,et al.  Spatial variability of wheat yield and soil properties on complex hills , 1988 .

[16]  L. N. Mielke,et al.  Relationship of landscape position and properties to crop production , 1989 .

[17]  Burak Eksioglu,et al.  Original paper: A post-processing step error correction algorithm for overlapping LiDAR strips from agricultural landscapes , 2008 .

[18]  F. J. Pierce,et al.  Map Quality for Site‐Specific Fertility Management , 2001 .

[19]  D. G. Westfall,et al.  Comparison of Site-Specific Management Zones: Soil-Color-Based and Yield-Based , 2006 .

[20]  Emmanuel P. Baltsavias,et al.  Airborne laser scanning: basic relations and formulas , 1999 .

[21]  Peter Axelsson,et al.  Processing of laser scanner data-algorithms and applications , 1999 .

[22]  Thomas S. Colvin,et al.  Spatiotemporal variability of corn and soybean yield , 1997 .

[23]  Sagi Filin,et al.  Surface classification from airborne laser scanning data , 2004, Comput. Geosci..

[24]  F. Ackermann.  Airborne laser scanning : present status and future expectations , 1999 .

[25]  Donald G. Bullock,et al.  Spatial variability of soybean quality data as a function of field topography: I. Spatial data analysis , 2002 .

[26]  David S. Bullock,et al.  From Agronomic Research to Farm Management Guidelines: A Primer on the Economics of Information and Precision Technology , 2004, Precision Agriculture.

[27]  D. G. Bullock,et al.  Spatial variability of soybean quality data as a function of field topography: II. A proposed technique for calculating the size of the area for differential soybean harvest , 2002 .

[28]  Ghassem R. Asrar,et al.  Theory and applications of optical remote sensing. , 1989 .

[29]  P. Gerard,et al.  Soil Management Zone Determination by Yield Stability Analysis and Classification , 2007 .

[30]  George Vosselman,et al.  Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds , 2004 .

[31]  D. Westfall,et al.  Evaluating Farmer Defined Management Zone Maps for Variable Rate Fertilizer Application , 2000, Precision Agriculture.

[32]  J. V. Stafford,et al.  Limitations on the spatial resolution of yield mapping for combinable crops , 1997 .

[33]  Markus Hollaus,et al.  Airborne laser scanning and usefulness for hydrological models , 2005 .

[34]  Randolph H. Wynne,et al.  Estimating plot-level tree heights with lidar : local filtering with a canopy-height based variable window size , 2002 .

[35]  A. Kravchenko,et al.  Correlation of Corn and Soybean Grain Yield with Topography and Soil Properties , 2000 .

[36]  K. Kraus,et al.  Determination of terrain models in wooded areas with airborne laser scanner data , 1998 .

[37]  J. Means,et al.  Predicting forest stand characteristics with airborne scanning lidar , 2000 .

[38]  F. J. Barnes,et al.  Lidar determination of horizontal and vertical variability in water vapor over cotton , 1990 .

[39]  Aloysius Wehr,et al.  Airborne laser scanning—an introduction and overview , 1999 .

[40]  J. Shan,et al.  Urban DEM generation from raw lidar data: A labeling algorithm and its performance , 2005 .

[41]  Thomas S. Colvin,et al.  Six Year Yield Variability Within a Central Iowa Field , 1996 .

[42]  E. J. Huising,et al.  Errors and accuracy estimates of laser data acquired by various laser scanning systems for topographic applications , 1998 .

[43]  D. K. Cassel,et al.  Effect of Erosion and Landscape Position on the Productivity of Piedmont Soils , 1985 .

[44]  Dieter Fritsch,et al.  Filtering and calibration of laser-scanner measurements , 1994, Other Conferences.

[45]  Rattan Lal,et al.  Slope Position and Erosional Effects on Soil Properties and Corn Production on a Miamian Soil in Central Ohio , 1997 .