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PASTURE MANAGEMENT

Assessment of Pasture Biomass with the Normalized Difference Vegetation Index from Active Ground-Based Sensors

^a Dep. of Agronomy, Iowa State Univ., Ames, IA 50011-1010
^b Dep. of Plant and Soil Science, Univ. of Kentucky, Lexington, KY 40546-0312. Submitted with the approval of the Director, Kentucky Agric. Exp. Stn. as publication 06-06-119. Supported jointly by Kentucky Agric. Exp. Stn. and USDA CSREES Special Grant Animal Health and Grazing Systems

^* Corresponding author (esflyn2{at}iastate.edu).

Calculating forage availability is challenging for managers of grazing systems due to the spatial heterogeneity of swards. Remote sensing applications may help to overcome this problem through estimates of biomass made with reflectance data. The objectives of this study were to (i) estimate herbage mass using an active, on-the-go, ground-based, narrow band sensor to calculate the normalized difference vegetation index (NDVI), (ii) determine if NDVI may be used to assess spatial variability of herbage mass of grasslands, and (iii) determine if NDVI may be used to evaluate management of grazing systems. The NDVI was measured using an active ground-based sensor, the GreenSeeker (Ntech Industries, Ukiah, CA). In tall fescue [Schedonorus arundinaceus (Schreb.) Dumort], NDVI was correlated with biomass determined by destructive harvesting (r² = 0.68) and also with a calibrated rising plate meter (RPM) (r² = 0.54). Semivariograms revealed that NDVI sampling intervals of 0.76 m adequately described the spatial variability structure of grazed swards. The frequency distributions of sward biomass derived from NDVI may reflect the foraging strategies of cattle. Negative skewness and high kurtosis are consistent with selective grazing, while positive skewness and low kurtosis are consistent with less diet selectivity. Frequency distributions also improved definition of available forage within each field. We concluded that spatial properties of grassland biomass may be derived from high resolution NDVI and RPM data and could be used to evaluate conditions of grassland landscapes and to aid decision-making of managed grazing systems.

Abbreviations: CSSH, compressed sward surface height • DM, dry matter • GIS, global information system • GPS, global positioning system • LAI, leaf area index • NDVI, normalized difference vegetation index • RPM, rising plate meter • SR, stocking rate