Reflectance spectra for monitoring green herbage mass in Zoysia‐dominated pastures

Green herbage (GH) mass is an important vegetation characteristic of grazing pastures because it is closely related to the feed selection by animals and the nutritive quality of the diet. Zoysia-dominated pastures contain a large amount of dry herbage material, which makes it difficult to measure GH mass accurately. In this study, a portable hyperspectral radiometer was used to relate spectral characteristics (range = 350–1050 nm) to the GH mass in Zoysia-dominated pastures. The spectral reflectance attributes (R) of 485, 675 and 770 nm and the first differential reflectance attributes at 520, 570 and 720 nm had a positive or negative correlation to the GH mass. Of these, a combination of the spectral reflectance attributes at 485 and 770 nm (R770/R485) provided an effective vegetation index for monitoring GH mass. The regression model with this index is sufficient for the practical estimation of GH mass in Zoysia pastures (r = 0.83, evaluation index value = 21.4%).

[1]  Christopher B. Field,et al.  Remote sensing of the xanthophyll cycle and chlorophyll fluorescence in sunflower leaves and canopies , 1990, Oecologia.

[2]  M. M. Schreiber,et al.  Reflectance and internal structure of leaves from several crops during a growing season. , 1971 .

[3]  A. J. Richardsons,et al.  DISTINGUISHING VEGETATION FROM SOIL BACKGROUND INFORMATION , 1977 .

[4]  T. Kondo,et al.  Predicting Chemical Compositions and Sheep Responses by Near Infrared Reflectance Spectroscopy in Forage , 1990 .

[5]  Tsuyoshi Akiyama,et al.  Spectral characteristics of aboveground biomass, plant coverage, and plant height in Italian ryegrass (Lolium multiflorum L.) meadows. , 2000 .

[6]  Yoshio Inoue,et al.  Estimating forage biomass and quality in a mixed sown pasture based on partial least squares regression with waveband selection , 2008 .

[7]  A. Melchinger,et al.  Evaluation of Near Infra‐red Reflectance Spectroscopy for Predicting Grain and Stover Quality Traits in Maize , 1986 .

[8]  Moon S. Kim,et al.  Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .

[9]  J. B. Peters,et al.  Prediction of laboratory and in situ protein fractions in legume and grass silages using near-infrared reflectance spectroscopy. , 1999, Journal of dairy science.

[10]  C. Tucker Asymptotic nature of grass canopy spectral reflectance. , 1977, Applied optics.

[11]  A. Viña Remote estimation of leaf area index and biomass in corn and soybean , 2004 .

[12]  Compton J. Tucker,et al.  Spectral estimation of grass canopy variables , 1977 .

[13]  J. Gamon,et al.  The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels , 1997, Oecologia.

[14]  Patrick J. Starks,et al.  Assessment of forage biomass and quality parameters of bermudagrass using proximal sensing of pasture canopy reflectance , 2007 .

[15]  R. Joffre,et al.  Using near-infrared reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in heterogeneous plant material , 1999, Oecologia.

[16]  C J Tucker,et al.  A three-band hand-held radiometer for field use. , 1981, Science.

[17]  A. Huete A soil-adjusted vegetation index (SAVI) , 1988 .

[18]  R L Pearson,et al.  Hand-held spectral radiometer to estimate gramineous biomass. , 1976, Applied optics.

[19]  M. Canty,et al.  Automatic radiometric normalization of multitemporal satellite imagery , 2004 .

[20]  P. Curran,et al.  A new technique for interpolating the reflectance red edge position , 1998 .

[21]  S. Running,et al.  The seasonality of AVHRR data of temperate coniferous forests - Relationship with leaf area index , 1990 .

[22]  V. Nguyen-Cong,et al.  Statistical Models for Prediction of Dry Weight and Nitrogen Accumulation Based on Visible and Near-Infrared Hyper-Spectral Reflectance of Rice Canopies , 2000 .

[23]  S. Schmidtlein,et al.  Mapping of continuous floristic gradients in grasslands using hyperspectral imagery , 2004 .

[24]  Reyer Zwiggelaar,et al.  A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops , 1998 .

[25]  C. Jordan Derivation of leaf-area index from quality of light on the forest floor , 1969 .