Detection of yearly cover change with Landsat MSS on pastoral landscapes in Central Australia

Abstract This paper outlines the use of Landsat MSS for cover monitoring on sparsely vegetated landscapes grazed by cattle in central Australia. For important pastoral landscapes, a 5/7 ratio based on absolute reflectance was found to be linearly related to total plant cover, with correlation coefficients ( r ) varying from −0.90 to −0.98. The strength of this relationship was notable in that the predictive regressions used data from Landsats 2, 3, and 4 and had sun angles varying from 32° to 46°. Prediction of cover change on some landscapes was difficult because response to rainfall was confined in limited locations, or occurred at a subpixel level. Yearly or twice yearly cover measurement at a regional level is now feasible, but implementation depends on successfully blending the technology into the decision making processes of government agencies and pastoral managers. This blending will determine whether the coarser scale NOAA imagery will be more cost-effective than Landsat MSS, considering the scale at which decisions are taken.

[1]  C. J. Robinove,et al.  Computation with physical values from Landsat digital data , 1982 .

[2]  Charles J. Robinove,et al.  Effects of the atmosphere on the detection of surface changes from Landsat multispectral scanner data , 1981 .

[3]  W. Ripple,et al.  Asymptotic reflectance characteristics of grass vegetation , 1985 .

[4]  A. Richardson Relating Landsat digital count values to ground reflectance for optically thin atmospheric conditions. , 1982, Applied optics.

[5]  C. Tucker,et al.  Satellite remote sensing of total dry matter production in the Senegalese Sahel , 1983 .

[6]  C. Perry,et al.  Functional equivalence of spectral vegetation indices , 1984 .

[7]  J. F. O'Callaghan,et al.  The application of Landsat image data to rangeland assessment and monitoring: the development and demonstration of a land image-based resource information system (LIBRIS) , 1986 .

[8]  D. Gehring,et al.  Arid Land Monitoring Using Landsat Albedo Difference Images , 1981 .

[9]  Monitoring surface albedo change with Landsat , 1977 .

[10]  Lingsong Zhang,et al.  STATISTICAL METHODS IN BIOLOGY , 1902, Nature.

[11]  W. A. Low,et al.  The Response of Rabbit Populations and Vegetation to Rabbit Control on a Calcareous Shrubby Grassland in Central Australia , 1985 .

[12]  C. Justice,et al.  Analysis of the phenology of global vegetation using meteorological satellite data , 1985 .

[13]  R. R. Lamacraft,et al.  Calibration of LANDSAT data for sparsely vegetated semi-arid rangelands , 1986 .

[14]  C. Tidmarsh,et al.  The wheel-point method of survey and measurement of semi-open grasslands and Karoo vegetation in South Africa. , 1955 .

[15]  K. K. Mayo,et al.  Monitoring land-cover change by principal component analysis of multitemporal Landsat data. , 1980 .

[16]  G. Pickup,et al.  Relationship of aircraft radiometric measurements to bare ground on semi-desert landscapes in central Australia. , 1984 .

[17]  B. C. Forster,et al.  Derivation of atmospheric correction procedures for LANDSAT MSS with particular reference to urban data , 1984 .

[18]  Philip J. Howarth,et al.  Procedures for change detection using Landsat digital data , 1981 .