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Estimating Ground Cover of Field Crops Using Medium-Resolution Multispectral Satellite Imagery

Dep. of Plant and Soil Science, Texas Tech Univ., Lubbock, TX 79409

View larger version (18K): [in this window] [in a new window]   Fig. 1. Pixel digital count (DC) values in the near-infrared (NIR) spectral band plotted vs. corresponding DC values in the red spectral band for a portion of a Landsat-5 image of an agricultural region. (A) Actual distribution of DC values; (B) diagrammatic representation of features of the distribution of DC values; (C) features of the distribution of DC values related to estimating the GC of the image pixel represented by point e.

View larger version (41K): [in this window] [in a new window]   Fig. 2. Results of plotting the pixel digital count (DC) values in the near-infrared (NIR) spectral band vs. the corresponding DC values in the red spectral band for the 30 June, 16 July, 1 August, and 18 September Landsat-5 image acquisitions. The location of the bare soil line is indicated for each distribution of points, along with the location of the point representing full vegetation canopy ("FC").

View larger version (27K): [in this window] [in a new window]   Fig. 3. Values of ground cover (GC) estimated for the 31 agricultural fields in the study using the satellite image data plotted vs. the corresponding ground-based field observations of GC. The solid diagonal line represents the 1:1 line, while the dashed line represents the least-squares linear regression line fit to these points.

View larger version (26K): [in this window] [in a new window]   Fig. 4. Results of plotting the pixel digital count (DC) values in the near-infrared (NIR) spectral band vs. the corresponding DC values in the red spectral band for the (A) 30 June and (B) 18 September Landsat-5 image acquisitions without masking the image data to remove nonagricultural targets such as clouds, cloud shadows, and lakes.