1992
DOI: 10.1080/01431169208904252
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The selection of the best possible Landsat TM band combination for delineating salt-affected soils

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Cited by 102 publications
(47 citation statements)
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“…Remotely sensed image data have been used to monitor salinity stress in citrus trees (Craig and Shih, 1998), delineation of saline soils (Dwivedi and Rao, 1992), and the detection of insect infestations (Riley, 1989), such as pest-affected hardwoods (Vogelmann and Rock, 1989). In studies of general vegetation spectral reflectance, the near-infrared (IR) band (0.75 μm-1.35 μm) is important in separating healthy and stressed trees based on leaf air content and the condition of the mesophyll layer; healthy leaves with more air and a thicker mesophyll increase near-IR scatter (Gausman, 1974).…”
Section: Remote Sensing In Growth and Yield Estimationmentioning
confidence: 99%
“…Remotely sensed image data have been used to monitor salinity stress in citrus trees (Craig and Shih, 1998), delineation of saline soils (Dwivedi and Rao, 1992), and the detection of insect infestations (Riley, 1989), such as pest-affected hardwoods (Vogelmann and Rock, 1989). In studies of general vegetation spectral reflectance, the near-infrared (IR) band (0.75 μm-1.35 μm) is important in separating healthy and stressed trees based on leaf air content and the condition of the mesophyll layer; healthy leaves with more air and a thicker mesophyll increase near-IR scatter (Gausman, 1974).…”
Section: Remote Sensing In Growth and Yield Estimationmentioning
confidence: 99%
“…Apart from change detection, (Byrne et al, 1980;Fung and LeDrew, 1987;Lodwick, 1979;Muchoney and Haack, 1994;Richards, 1984;Singh and Harrison, 1985) PCA has been applied to determine the underlying dimensions of remotely sensed data (Anuta et al, 1984;Ready and Wintz, 1973;Townshend et al, 1985), for image enhancement (Gillespie, 1980;Richards, 1986), image data compression (Gonzales and Wintz, 1977), merging multiresolution and multispectral data (Chavez et al, 1991), land-cover characterization (Hirosawa et al, 1996) and other research topics (Ahearn and Wee, 1991;Canas and Barnett, 1985;Conese et al, 1988;Dwivedi and Rao, 1992;Eastman and Fult, 1993;Ingerbritsen and Lyon, 1985;Jiaju, 1988;Loughlin, 1991;Siljeström and Moreno-López, 1995).…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have shown the visible, near infrared, or short-wave infrared spectral bands from the optical sensors to be promising for the detection of surface soil salinity [11][12][13][14][15]. In addition, hyperspectral data have been successfully used in several studies on soil salinity, enabling quantitative assessment of salt-affected soils [16][17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%