SNOW, CLOUD AND LAND SEPARATION IN NOAA AVHRR DATA

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PORHEMAT J.; SAGHAFIAN B.; SEDGHI H.

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Journal: Year:2003 | Volume:15 | Issue:3-4 (56-57 IN NATURAL RESOURCES) Page(s): 2-14

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Information Journal Paper

Title

SNOW, CLOUD AND LAND SEPARATION IN NOAA AVHRR DATA

Author(s)

PORHEMAT J. | SAGHAFIAN B. | SEDGHI H. | Issue Writer Certificate

Keywords

REMOTE SENSINGQ2

NOAAQ4

AVHRRQ3

KARUNQ3

DEZQ4

KAARKHEHQ4

Abstract

Although snow cover extent represents a critical factor in predicting snowmelt runoff, sufficient spatial and temporal resolution is not achieved by field observations. On the other hand, satellite data are readily available and provide exceptional spatio-temporal characteristics needed for snow mapping. In particular, NOAA satellite with AVHRR sensor provides daily images 1.1 km spatial resolution, which may with be quite suitable for snow mapping in large basins. The snow cover area mapping based on satellite imagery has been mainly practiced using visual interpretation methods. Moreover the presence of cloud in the images creats an obstacle in snow area delineation. In this article, a two-stage technique relying on albedo of channel2 and brightness temperature of channel2 and 3 some feature reflectivity of in and these bands in NOAA AVHRR is proposed to classify snow, cloud and uncover land. While visual interpretation is not required in this technique, the image classification is performed using image enhancement and multi-spectral analysis. ILWIS GIS served as the data platform for imagery data manipulation and analysis. To examine the capability of the proposed technique, two of the available NOAA corresponding to Jan. 9 and Feb 24. 1997. respectively in areas of 105000 and 132000 km2 between (47, 05, 00-51, 27, 06) E longitude and (30, 30, 00-33, 28, 51) N were selected. The results conferred overall with those of visual interpretation in areas where snow, cloud, and ground could clearly be identified. Furthermore, the results of applying the proposed technique on a third image dated May N. 1998, was favorably compared with processing of the May 17, 1998 LANDSAT/TM images with 28.5 m ground resolution. On major limitation of the technique is the inability to recognize the snow under cloud cover.

Cites

APPLICATION OF SRM MODEL IN SNOWMELT RUNOFF SIMULATION USING NOAA AVHRR IMAGES IN UNGAGED BASINS

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APA: Copy

PORHEMAT, J., SAGHAFIAN, B., & SEDGHI, H.. (2003). SNOW, CLOUD AND LAND SEPARATION IN NOAA AVHRR DATA. PAJOUHESH-VA-SAZANDEGI, 15(3-4 (56-57 IN NATURAL RESOURCES)), 2-14. SID. https://sid.ir/paper/19431/en

Vancouver: Copy

PORHEMAT J., SAGHAFIAN B., SEDGHI H.. SNOW, CLOUD AND LAND SEPARATION IN NOAA AVHRR DATA. PAJOUHESH-VA-SAZANDEGI[Internet]. 2003;15(3-4 (56-57 IN NATURAL RESOURCES)):2-14. Available from: https://sid.ir/paper/19431/en

IEEE: Copy

J. PORHEMAT, B. SAGHAFIAN, and H. SEDGHI, “SNOW, CLOUD AND LAND SEPARATION IN NOAA AVHRR DATA,” PAJOUHESH-VA-SAZANDEGI, vol. 15, no. 3-4 (56-57 IN NATURAL RESOURCES), pp. 2–14, 2003, [Online]. Available: https://sid.ir/paper/19431/en

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