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Details van artikel 122 van 250 gevonden artikelen
| Titel: |
Identifying Riverine Sand and Gravel Deposits Using A High Resolution Day-night Temperature Difference Map and Digitized Aerial Photography |
| Auteur: |
Jensen, John R. Luders, Jacqueline K. Schill, Steven R. Raber, George T. |
| Verschenen in: |
Geocarto international |
| Paginering: | Jaargang 19 (2004) nr. 2 pagina's 49-56 |
| Jaar: |
2004-06 |
| Inhoud: |
Sand and gravel are important natural resources used in construction. Point bars in rivers often contain sand and gravel deposits that are identified through laborious and expensive field investigation. This research examined remote sensing-assisted methods of discriminating between surficial sediment deposits of varying particle sizes (e.g. silt/clay, sand and gravel) based on a) the differences in their diurnal temperature properties, and b) daytime spectral reflectance. NASA's Airborne Terrestrial Applications Sensor (ATLAS) was used to obtain pre-dawn and mid-day 2.5 × 2.5 m spatial resolution data in the visible, near-infrared, mid-infrared, and thermal-infrared regions of the electromagnetic spectrum. Natural color aerial photography were also collected. The pre-dawn and mid-day thermal infrared data were regressed with in situ temperature measurements to produce pre-dawn and mid-day temperature maps. These data were differenced to produce a day-night temperature difference map. The temperature difference image was useful for discriminating between sand and gravel but not between different classes of gravel. Three bands of pre-dawn thermal infrared data and the digitized aerial photography were classified independently. The classification of surface materials based on the pre-dawn thermal infrared data was superior to the classification derived from the aerial photography based on Kappa analysis. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 122 van 250 gevonden artikelen
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