Remotely sensed land cover temperature and soil water status—a brief review

Byrne, G.F.; Begg, J. E.; Fleming, P.M.; Dunin, F. X.

doi:10.1016/0034-4257(79)90029-4

Cited by 51 publications

(21 citation statements)

References 25 publications

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“…Models of vegetation temperature which can be directly applied to remote sensing problems (Kimes, Smith, and Ranson 1979;Norman, 1979;Smith et al 1981a) are complex and require careful specification of intracanopy meteorological conditions, canopy structure, and biophysical characteristics which are not often available. Observational and analytical studies are consistent with the models in detailing the complexity of the problem (Miller 1971;Heilman et al 1976;Bonn 1978;Byrne et al 1979;Kimes 1979;Kimes et al 1980;Millard et al 1980;Soer 1980;Balick and Wilson 1981).…”

Section: / "supporting

confidence: 49%

Inclusion of a Simple Vegetation Layer in Terrain Temperature Models for Thermal Infrared (IR) Signature Prediction

Balick¹,

Scoggins²,

Link³

1981

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Section: / "supporting

confidence: 49%

Inclusion of a Simple Vegetation Layer in Terrain Temperature Models for Thermal Infrared (IR) Signature Prediction

Balick¹,

Scoggins²,

Link³

1981

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“…Satellite derived LSTs are believed to correspond closely with the canopy layer heat islands, although a precise transfer function between the LST and near ground air temperature is not yet available (Nichol 1994). Byrne (1979) observed a difference of as much as 20°C between the air temperature and the warmer surface temperature of dry ground.…”

Section: Computation Of Lst From Landsat Tir Data and Identification mentioning

confidence: 94%

Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States

2007

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Direct applications of remote sensing thermal infrared (TIR) data in landscape ecological research are rare due to limitations in the sensors, calibration, and difficulty in interpretation. Currently there is a general lack of methodology for examining the relationship between land surface temperatures (LST) derived from TIR data and landscape patterns extracted from optical sensors. A separation of landscapes into values directly related to their scale and signature is a key step. In this study, a Landsat ETM+ image of Indianapolis, Unites States, acquired on June 22, 2000, was spectrally unmixed (using spectral mixture analysis, SMA) into fraction endmembers of green vegetation, soil, high albedo, and low albedo. Impervious surface was then computed from the high and low albedo images. A hybrid classification procedure was developed to classify the fraction images into seven land use and land cover (LULC) classes. Using the fractional images, the landscape composition and pattern were examined. Next, pixel-based LST measurements were correlated with the landscape fractional components to investigate LULC based relationships between LST and impervious surface and green vegetation fractions. An examination of the relationship between the LULC and LST maps with landscape metrics was finally conducted to deepen understanding of their interactions. Results indicate that SMA-derived fraction images were effective for quantifying the urban morphology and for providing reliable measurements of biophysical variables. LST was found to be positively correlated with impervious surface fraction but negatively correlated with green vegetation fraction. Each temperature zone was associated with a dominant LULC category. Further research should be directed to the theoretical and applied implications of describing such relationships between LULC patterns and urban thermal conditions.

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“…(8) There is an intimate relationship between air temperature and land surface temperature (Oke, 1976). Although a precise transfer function between the ground surface temperature and the near ground air temperature is not yet available, Byrne (1979) has observed a difference as much as 20 8C between the air temperature and the warmer surface temperature of dry ground. It is true that impervious surfaces are hotter and generate warmer air temperatures.…”

Section: Implications On Planning-managing the Urban Heat?mentioning

confidence: 99%

Managing the adverse thermal effects of urban development in a densely populated Chinese city

Weng

Yang

2004

Journal of Environmental Management

189

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Remotely sensed land cover temperature and soil water status—a brief review

Cited by 51 publications

References 25 publications

Inclusion of a Simple Vegetation Layer in Terrain Temperature Models for Thermal Infrared (IR) Signature Prediction

Inclusion of a Simple Vegetation Layer in Terrain Temperature Models for Thermal Infrared (IR) Signature Prediction

Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States

Managing the adverse thermal effects of urban development in a densely populated Chinese city

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