Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)

Drought is a complex phenomenon with different effects. Hence, the indicators are used to determine the intensity and vastity of the drought. Using remote sensing science, we can study Drought over its effects on plants and Agriculture and achieve more precise and influential results for drought Mod...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammadhusayn Rezaeimoghadam, Khalil Valizadeh Kamran, Hashem Rostamzadeh, Ali Rezaee
Format: Article
Language:fas
Published: Razi University 2012-02-01
Series:جغرافیا و پایداری محیط
Subjects:
Online Access:https://ges.razi.ac.ir/article_199_c6e64660f7cac2ecf08ae24337b83d16.pdf?lang=en
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832542929952964608
author Mohammadhusayn Rezaeimoghadam
Khalil Valizadeh Kamran
Hashem Rostamzadeh
Ali Rezaee
author_facet Mohammadhusayn Rezaeimoghadam
Khalil Valizadeh Kamran
Hashem Rostamzadeh
Ali Rezaee
author_sort Mohammadhusayn Rezaeimoghadam
collection DOAJ
description Drought is a complex phenomenon with different effects. Hence, the indicators are used to determine the intensity and vastity of the drought. Using remote sensing science, we can study Drought over its effects on plants and Agriculture and achieve more precise and influential results for drought Modeling. In this research, evaluations of function of the MODIS data in estimating the drought in the Urumia lake basin from 2000 to 2011 was examined. Data from Terra-MODIS Satellite (for May the first) and Monthly precipitation data (from February to April) were also used in this process. Furthermore, VCI and TCI indexes were studied in this research. VCI was obtaibed through NDVI, and NDVI, in turn, was assessed from 13 and 16 bavds respectively. Also to get TCI, Brightness Temperature of band 31 was used and maps of drought from 2000 to 2011 were obtained for these indexes too. As the results of these two indexes were different, SPI was used to determine the functions in a 3month duration in 2011. The VCI and TCI figures in 2011 were extracted from the images and the Pearson correlation among them was concluded. VCI correlation with the SPI is 0.7 and TCI correlation with SPI is 0.25. The level of VCI significance was acceptable too. According to the results, VCI and MODIS images can be good substitutions for meteorological indexes to estimate the drought and since satellite images have more advantages over meteorological approaches such as the more sampling points, wider coverage, higher temporal resolution (separation) and lower costs, the use of remote sensing is proposed.
format Article
id doaj-art-eac3eda6476144e7839402ea52ec2759
institution Kabale University
issn 2322-3197
2676-5683
language fas
publishDate 2012-02-01
publisher Razi University
record_format Article
series جغرافیا و پایداری محیط
spelling doaj-art-eac3eda6476144e7839402ea52ec27592025-02-03T14:04:06ZfasRazi Universityجغرافیا و پایداری محیط2322-31972676-56832012-02-01243752Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)Mohammadhusayn Rezaeimoghadam Khalil Valizadeh Kamran Hashem Rostamzadeh Ali RezaeeDrought is a complex phenomenon with different effects. Hence, the indicators are used to determine the intensity and vastity of the drought. Using remote sensing science, we can study Drought over its effects on plants and Agriculture and achieve more precise and influential results for drought Modeling. In this research, evaluations of function of the MODIS data in estimating the drought in the Urumia lake basin from 2000 to 2011 was examined. Data from Terra-MODIS Satellite (for May the first) and Monthly precipitation data (from February to April) were also used in this process. Furthermore, VCI and TCI indexes were studied in this research. VCI was obtaibed through NDVI, and NDVI, in turn, was assessed from 13 and 16 bavds respectively. Also to get TCI, Brightness Temperature of band 31 was used and maps of drought from 2000 to 2011 were obtained for these indexes too. As the results of these two indexes were different, SPI was used to determine the functions in a 3month duration in 2011. The VCI and TCI figures in 2011 were extracted from the images and the Pearson correlation among them was concluded. VCI correlation with the SPI is 0.7 and TCI correlation with SPI is 0.25. The level of VCI significance was acceptable too. According to the results, VCI and MODIS images can be good substitutions for meteorological indexes to estimate the drought and since satellite images have more advantages over meteorological approaches such as the more sampling points, wider coverage, higher temporal resolution (separation) and lower costs, the use of remote sensing is proposed.https://ges.razi.ac.ir/article_199_c6e64660f7cac2ecf08ae24337b83d16.pdf?lang=endroughtndvispitcivci
spellingShingle Mohammadhusayn Rezaeimoghadam
Khalil Valizadeh Kamran
Hashem Rostamzadeh
Ali Rezaee
Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)
جغرافیا و پایداری محیط
drought
ndvi
spi
tci
vci
title Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)
title_full Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)
title_fullStr Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)
title_full_unstemmed Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)
title_short Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin)
title_sort evaluating the adequacy of modis in the assessment of drought case study urmia lake basin
topic drought
ndvi
spi
tci
vci
url https://ges.razi.ac.ir/article_199_c6e64660f7cac2ecf08ae24337b83d16.pdf?lang=en
work_keys_str_mv AT mohammadhusaynrezaeimoghadam evaluatingtheadequacyofmodisintheassessmentofdroughtcasestudyurmialakebasin
AT khalilvalizadehkamran evaluatingtheadequacyofmodisintheassessmentofdroughtcasestudyurmialakebasin
AT hashemrostamzadeh evaluatingtheadequacyofmodisintheassessmentofdroughtcasestudyurmialakebasin
AT alirezaee evaluatingtheadequacyofmodisintheassessmentofdroughtcasestudyurmialakebasin