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Title

SNOW DEPTH ESTIMATION IN IRAN, USING: DMSP FII-SSM/I SATELLITE DATA

Pages

  8-27

Abstract

 Although snow is one of the most important parameters in hydrological and climatologic studies in IRAN, and as an indicator of climate change, the sparse network of ground observing stations and the common problems caused by severe environment make it difficult to monitor.A new PASSIVE MICROWAVE satellite ALGORITHM based on single channel (V3 7 GHz) for retrieving SNOW DEPTH was developed. To help identify appropriate method, a statistical comparison was made between the results of this ALGORITHM and the available in situ data. Data from two sources were 0 btained: FII-SSM/I data from the Centre for Remote Sensing and gr ound truth data from the Water Resource Research Organization under the authority of the IRANian Ministry of Energy. The SNOW DEPTH pro duct compared with in situ data confirmed that PASSIVE MICROWAVE r emote sensing has a great potential (R2=0.92) for the detection of SNOW DEPTH, especially in regions where few observations are made o n the ground. In contrast to earlier work (Chang etal. 1987), which has suggested that PASSIVE MICROWAVE SNOW DEPTH ALGORITHM is able to detect SNOW DEPTHs only up to about 50cm, results from this research evidenced that new ALGORITHM, are able to identify SNOW DEPTHs more than 50 cm i n IRAN. The results of the research also provide a useful basis for continuous SNOW DEPTH monitoring and longer term-data in IRAN. Particularly thro ugh real-time or near real-time operations.

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    APA: Copy

    MATKAN, A.A.. (2004). SNOW DEPTH ESTIMATION IN IRAN, USING: DMSP FII-SSM/I SATELLITE DATA. GEOGRAPHY, -(1), 8-27. SID. https://sid.ir/paper/356776/en

    Vancouver: Copy

    MATKAN A.A.. SNOW DEPTH ESTIMATION IN IRAN, USING: DMSP FII-SSM/I SATELLITE DATA. GEOGRAPHY[Internet]. 2004;-(1):8-27. Available from: https://sid.ir/paper/356776/en

    IEEE: Copy

    A.A. MATKAN, “SNOW DEPTH ESTIMATION IN IRAN, USING: DMSP FII-SSM/I SATELLITE DATA,” GEOGRAPHY, vol. -, no. 1, pp. 8–27, 2004, [Online]. Available: https://sid.ir/paper/356776/en

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