Reflectance modelling and the derivation of vegetation indices for an Australian semi-arid shrubland

Pech, R.P.; Graetz, R.D.; Davis, A. W.

doi:10.1080/01431168608954694

Cited by 80 publications

(17 citation statements)

References 2 publications

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“…The concept that a pixel signal is composed of a combination of materials within the sensor instantaneous field of view (IFOV) has long been recognized (e.g., Adams et al, 1986;Horwitz et al, 1975;Pech et al, 1986). No remotely-sensed image, regardless of spatial resolution, is exempt from mixed pixels (Lee and Lathrop, 2005;Foody, 2006) because large homogeneous areas of a single land cover material are not commonly found in nature (van der Meer and de Jong, 2000).…”

Section: Remotely-sensed Fcmentioning

confidence: 98%

A hybrid visual estimation method for the collection of ground truth fractional coverage data in a humid tropical environment

Delamater

Messina

et al. 2012

International Journal of Applied Earth Observation and Geoinfor

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Section: Remotely-sensed Fcmentioning

confidence: 98%

A hybrid visual estimation method for the collection of ground truth fractional coverage data in a humid tropical environment

Delamater

Messina

et al. 2012

International Journal of Applied Earth Observation and Geoinfor

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“…The absorption features are due to clay-hydroxyl in soils at 2200nm [10,14] and cellulose and lignin in vegetation and plant litter near 2100nm and 2300nm [6,8,15]. The early research provided reliable estimates of total vegetation at local scales (<10 km 2 ). However, for many grazing, ecology and climate applications these estimates are required at regional scales (10 km 2 -10 4 km 2 ).…”

Section: Introductionmentioning

confidence: 93%

“…Measurements of tree and photosynthetically-active grass cover are acquired routinely using satellite remote sensing [1][2][3][4][5]. The accurate retrieval of photosynthetic vegetation cover is due to satellite sensors, such as Landsat ETM+, sampling the electromagnetic spectrum mostly in the visible near-infrared (VNIR) region.…”

Section: Introductionmentioning

confidence: 99%

Estimates of bare ground and vegetation cover from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) short-wave-infrared reflectance imagery

Gill

Phinn

2008

J. Appl. Remote Sens

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Abstract. The high level of success of estimating photosynthetic vegetation from multispectral satellite sensors at regional scales has not been repeated for non-photosynthetic vegetation and bare ground. Therefore regional scale estimates of total vegetation from multispectral sensors are largely underestimated with implications for a wide range of agricultural and environmental applications. Recent research using simulated data showed that the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) had the potential to provide reliable estimates of bare ground and total vegetation. This study built on that research and found that estimates of bare ground retrieved from ASTER short-wave infrared imagery using linear spectral unmixing correlated well with field measurements (RMSE < 0.1, r 2 > 0.7). Image endmember libraries required for spectral unmixing were extracted from the image data using a combination of field knowledge and the lignin and cellulose absorption index. The most reliable results were found by applying a sum-constraint to the unmixing models and tying the signatures at wavebands that corresponded to cellulose or clay-hydroxyl absorption features. The results of this research show that ASTER can improve the estimates of total vegetation extracted from satellite imagery for environmental studies at regional scales.

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“…Many methods have been developed to predict vegetation coverage information from multispectral remote sensing images, and these methods include vegetation indices (Choudhury et al 1994;Toby andDavid 1997, Boyd et al 2002), multiple regression (Graetz et al 1988;Boyd et al 2002;Peter 2002), classification decision tree (Hansen et al 2002), and spectral mixture analysis (SMA) (Pech et al 1986;Leprieur et al 1994;Gutman and Ignatov 1998;Qi et al 2000;Xiao and Moody 2005).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the changes of vegetation coverage of western Beijing mountainous areas using remote sensing and GIS

Liu

Xia

Wang

et al. 2008

Environ Monit Assess

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Mentougou District acts as a crucial component in the ecological buffer in western Beijing mountainous areas, Beijing, China. Using two Landsat MSS/TM images acquired on July 14, 1979 and July 23, 2005, the vegetation coverage of Mentougou District was calculated based on normalized difference vegetation index and spectral mixture analysis (NDVI-SMA) model. Its temporal and spatial changes were analyzed according to digital elevation model (DEM) image, social and economic data. The results showed that the vegetation coverage decreased from 76.4% in 1979 to 72.7% in 2005. Vegetation degradation was probably the result of human disturbance, such as outspreading of resident areas, and coal and stone mining activities, while vegetation restoration might be contributed by the combined effects of both natural processes and ecological construction effort. Vegetation changes were closely related to topographical characteristics. Plants at high altitude were more stable and less degraded than the plants at low altitude, while the plants on steep slope or northwest aspect were more vulnerable to degradation. During the period of 26 years, landscape appeared to become more fragmental, and ecological quality of the land seemed deteriorated sharply in that highly-covered vegetation area has been decreased by 24%.

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Reflectance modelling and the derivation of vegetation indices for an Australian semi-arid shrubland

Cited by 80 publications

References 2 publications

A hybrid visual estimation method for the collection of ground truth fractional coverage data in a humid tropical environment

A hybrid visual estimation method for the collection of ground truth fractional coverage data in a humid tropical environment

Estimates of bare ground and vegetation cover from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) short-wave-infrared reflectance imagery

Analysis of the changes of vegetation coverage of western Beijing mountainous areas using remote sensing and GIS

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