Development of a ground truthing method for determination of rangeland biomass using canopy reflectance properties

Veld condition assessment and establishment of grazing capacity norms provide guidelines for the formulation of sustainable practices. However, conventional monitoring methods are becoming inadequate to meet future challenges, where quantification of spatial and temporal variation is required. This study proposes an on-site remote sensing method for monitoring above-ground biomass in rangelands. A preliminary model was formulated, based on simple regression relationships between canopy reflectance properties and aboveground biomass. This model was validated in semi-arid environments (Nama-karoo and Kalahari) within the framework of spatial and temporal experimental trials. Model accuracy was found to be primarily a function of canopy structure and vegetation composition where increases in dwarf shrub presence resulted in greater variations of both NDVI (Normalized Difference Vegetation Index) and LAI (Leaf Area Index) measurements. Temporal variation in model accuracy could also be observed which seemed to be associated with precipitation events. It was concluded that the proposed remote sensing method has potential as a ground truthing technique for determination of rangeland biomass. Indications are that this method is well suited for use in grass dominated veld types. With further refinement, implementation of this technique should also be possible in dwarf shrublands.

[1]  John Phillip Harison. Acocks,et al.  Veld types of South Africa. , 1955 .

[2]  L. D. Miller,et al.  Remote mapping of standing crop biomass for estimation of the productivity of the shortgrass prairie, Pawnee National Grasslands, Colorado , 1972 .

[3]  R. Person Remote mapping of standing crop biomass for estimation of the productivity of the short-grass Prairie, Pawnee National Grasslands, Colorado , 1972 .

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

[5]  Factors involved in estimating green biomass by canopy spectroreflectance measurements. , 1981 .

[6]  M. Vorster The development of the ecological index method for assessing veld condition in the Karoo , 1982 .

[7]  L. Tieszen,et al.  Estimation of plant biomass by spectral reflectance in an East African grassland. , 1983 .

[8]  M. J. Duggin,et al.  Relating ground, aircraft and satellite radiance measurements: spectral and spatial considerations , 1985 .

[9]  J. King,et al.  A comparison of spectral reflectance and sward surface height measurements to estimate herbage mass and leaf area index in continuously stocked ryegrass pastures , 1986 .

[10]  C. Tucker,et al.  Satellite remote sensing of primary production , 1986 .

[11]  A. Lang Estimation of leaf area index from transmission of direct sunlight in discontinuous canopies , 1986 .

[12]  Gautam D. Badhwar,et al.  Satellite-derived leaf-area-index and vegetation maps as input to global carbon cycle models-a hierarchical approach , 1986 .

[13]  Edward J. Milton,et al.  Principles of field spectroscopy , 1987 .

[14]  G. Pickup New land degradation survey techniques for arid Australia. - Problems and prospects. , 1989 .

[15]  J. Welles Some indirect methods of estimating canopy structure , 1990 .

[16]  F. Baret,et al.  A ratio vegetation index adjusted for soil brightness , 1990 .

[17]  S. Running Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation , 1990 .

[18]  John M. Norman,et al.  Instrumentation for studying vegetation canopies for remote sensing in optical and thermal infrared regions , 1990 .

[19]  Carol A. Wessman,et al.  Spatial Scales and Global Change: Bridging the Gap from Plots to GCM Grid Cells , 1992 .

[20]  J. C. Price Estimating vegetation amount from visible and near infrared reflectances , 1992 .

[21]  Primary Productivity of Grass Ecosystems of the Tropics and Sub-Tropics , 1993 .

[22]  P. T. Hick,et al.  Potential of using field spectroscopy during early growth for ranking biomass in cereal breeding trials , 1993 .

[23]  M. Roberts,et al.  Primary productivity of grass ecosystems of the tropics and sub-tropics , 1993 .

[24]  Kl Regan,et al.  Use of reflectance measurements to estimate early cereal biomass production on sandplain soils , 1993 .

[25]  José M. Paruelo,et al.  REGIONAL PATTERNS OF NORMALIZED DIFFERENCE VEGETATION INDEX IN NORTH AMERICAN SHRUBLANDS AND GRASSLANDS , 1995 .

[26]  G. Morris Southward,et al.  Satellite-based herbaceous biomass estimates in the pastoral zone of Niger , 1995 .

[27]  Research note: Grazing‐index method procedures of vegetation surveys , 1997 .