EVALUATION AND IMPROVEMENT OF SNOW COVER DETECTION FROM MODIS IMAGES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TASDIGHIAN M.; RAHIMZADEGAN M.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2017 | Volume:13 | Issue:1 Page(s): 163-177

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

915

Download:

Cites:

Information Journal Paper

Title

EVALUATION AND IMPROVEMENT OF SNOW COVER DETECTION FROM MODIS IMAGES

Author(s)

TASDIGHIAN M. | RAHIMZADEGAN M. | Issue Writer Certificate

Keywords

MODIS IMAGESQ1

LANDSAT 8 IMAGESQ1

SNOW COVER AREAQ1

LAND SURFACE TEMPERATUREQ1

TOPOGRAPHIC CORRECTIONQ1

Abstract

Information from snow cover as one of the major resources of the groundwater, drinking, and agriculture water has a significant importance in water resources management. One of the important sources of data for snow cover detection are the MODIS satellite images, from which the snow products are routinely produced. This research aims to improve the snow cover detection algorithm of MODIS using topography correction and LAND SURFACE TEMPERATURE (LST) thresholding. In this regard, Northwestern part of Iran was selected as a pilot area. Because of the lack of field snow area data the LANDSAT 8 IMAGES were chosen as ground truth. Five appropriate simultaneous MODIS and LANDSAT 8 IMAGES in years 2014 and 2015 were prepared and 5 samples with 10000 pixels in each MODIS image were selected. Three algorithms were then implemented. The first one with MODIS snow product method achieved the mean absolute relative error of 3.44 percent. In the second algorithm TOPOGRAPHIC CORRECTION was implemented which reduced the error to 2.25 percent. The third algorithm investigated LAND SURFACE TEMPERATURE thresholding effect, which in the best value of LST with considering 278 K threshold yielded to mean absolute relative error of 2.58 percent. Hence, results indicated the proficiency of the provided algorithms in the study area, comparing with the standard method.

Cites

No record.

References

No record.

Cite

APA: Copy

TASDIGHIAN, M., & RAHIMZADEGAN, M.. (2017). EVALUATION AND IMPROVEMENT OF SNOW COVER DETECTION FROM MODIS IMAGES. IRAN-WATER RESOURCES RESEARCH, 13(1 ), 163-177. SID. https://sid.ir/paper/100410/en

Vancouver: Copy

TASDIGHIAN M., RAHIMZADEGAN M.. EVALUATION AND IMPROVEMENT OF SNOW COVER DETECTION FROM MODIS IMAGES. IRAN-WATER RESOURCES RESEARCH[Internet]. 2017;13(1 ):163-177. Available from: https://sid.ir/paper/100410/en

IEEE: Copy

M. TASDIGHIAN, and M. RAHIMZADEGAN, “EVALUATION AND IMPROVEMENT OF SNOW COVER DETECTION FROM MODIS IMAGES,” IRAN-WATER RESOURCES RESEARCH, vol. 13, no. 1 , pp. 163–177, 2017, [Online]. Available: https://sid.ir/paper/100410/en

Related Journal Papers