Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment
Various satellite remote sensing data, images and products have proven their place in drought, drought and agriculture studies since the production of this type of information resource. Visible, near-infrared and thermal bands are among the most widely used in the production of products such as vege...
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Kharazmi University
2020-12-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-3911-en.pdf |
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| author | Parviz zeaiean Firoozabadi |
| author_facet | Parviz zeaiean Firoozabadi |
| author_sort | Parviz zeaiean Firoozabadi |
| collection | DOAJ |
| description | Various satellite remote sensing data, images and products have proven their place in drought, drought and agriculture studies since the production of this type of information resource. Visible, near-infrared and thermal bands are among the most widely used in the production of products such as vegetation and surface temperature. In this study, from MODIS sensor data to investigate and find the coefficients of spatial relationship between vegetation-surface temperature index (NDVI-TS) and NDVI-ΔTS to extract the time of agricultural drought from June to October 2007 to 2010 in the catchment Siminehrood has been extracted from the Temperature-Vegetation Condition Index (VTCI) and the Water Lack Index (WDI), which are able to detect drought stress on a regional scale. The results of this study showed that in both indicators, the drought stress situation was higher in 2007 and 2008. Also based on the NDVI-TS space relationship in all the years 2007 to 2010 the high slope of the triangular space for the hot edge is negative. This means that with increasing NDVI, the LST level decreases while for the cold edge the slope is positive. In addition, the slope obtained from the NDVI-ΔTS space relationship is negative for the dry line, ie the dry line or the minimum transpiration-sweat line (ETR) shows a negative correlation with NDVI. While for the wet line, especially in 2010, the slope is positive and in other years, no significant change is seen. The present study showed that the VTCI threshold for drought stress was severe in 2007 and 2008. |
| format | Article |
| id | doaj-art-95c4b17f536e4099a43fe8f415bbeb9f |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2020-12-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-95c4b17f536e4099a43fe8f415bbeb9f2025-01-31T17:27:27ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382020-12-012059371392Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchmentParviz zeaiean Firoozabadi0 Associate Professor, Department of Remote Sensing and Geographic Information System , Kharazmi University Various satellite remote sensing data, images and products have proven their place in drought, drought and agriculture studies since the production of this type of information resource. Visible, near-infrared and thermal bands are among the most widely used in the production of products such as vegetation and surface temperature. In this study, from MODIS sensor data to investigate and find the coefficients of spatial relationship between vegetation-surface temperature index (NDVI-TS) and NDVI-ΔTS to extract the time of agricultural drought from June to October 2007 to 2010 in the catchment Siminehrood has been extracted from the Temperature-Vegetation Condition Index (VTCI) and the Water Lack Index (WDI), which are able to detect drought stress on a regional scale. The results of this study showed that in both indicators, the drought stress situation was higher in 2007 and 2008. Also based on the NDVI-TS space relationship in all the years 2007 to 2010 the high slope of the triangular space for the hot edge is negative. This means that with increasing NDVI, the LST level decreases while for the cold edge the slope is positive. In addition, the slope obtained from the NDVI-ΔTS space relationship is negative for the dry line, ie the dry line or the minimum transpiration-sweat line (ETR) shows a negative correlation with NDVI. While for the wet line, especially in 2010, the slope is positive and in other years, no significant change is seen. The present study showed that the VTCI threshold for drought stress was severe in 2007 and 2008.http://jgs.khu.ac.ir/article-1-3911-en.pdfmodis dataagricultural droughtndvivtciwdisiminehroud catchment. |
| spellingShingle | Parviz zeaiean Firoozabadi Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment تحقیقات کاربردی علوم جغرافیایی modis data agricultural drought ndvi vtci wdi siminehroud catchment. |
| title | Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment |
| title_full | Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment |
| title_fullStr | Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment |
| title_full_unstemmed | Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment |
| title_short | Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment |
| title_sort | utilization of ndvi vtci and wdi indices in analyzing the effects of drought severity and duration on vegetation density in siminehrood catchment |
| topic | modis data agricultural drought ndvi vtci wdi siminehroud catchment. |
| url | http://jgs.khu.ac.ir/article-1-3911-en.pdf |
| work_keys_str_mv | AT parvizzeaieanfiroozabadi utilizationofndvivtciandwdiindicesinanalyzingtheeffectsofdroughtseverityanddurationonvegetationdensityinsiminehroodcatchment |