Volume 13, Issue 3 (10-2019)
مرتع 2019, 13(3): 450-460 |
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Rayegani B, Arzani H, Heydari Alamdarloo E, Moghadami M M. Application of remote sensing to assess climate change effects on plant productivity and phenology (Case study area: Tehran Province). مرتع 2019; 13 (3) :450-460
URL: http://rangelandsrm.ir/article-1-784-en.html
URL: http://rangelandsrm.ir/article-1-784-en.html
Faculty of Environmental, Karaj
Abstract: (4270 Views)
The present study examined impacts of climate change on the phenology and productivity data using remote sensing in Tehran province. Long-term changes in growing season in Tehran province from 2000 to 2014 were obtained from NDVI MODIS data. To generate and extract the phenological parameters TIMESAT software was used, and the time series was analyzed by TERRSET software (Earth Trend Modeler). Also, the correlation between the phenological curves, temperature and precipitation was investigated. The results of this assessment showed that in the northern part of Tehran, the beginning of the growing season of the plants occurred later than the other parts and the length of the growing season decreased. In the north of the province, especially in the northeastern part, there was a significant increase in the NDVI maximum value, and then this led to an increase in plant production parameters in this section. However, the southern part, especially in the southwest the beginning of the growing season of the plants occurred earlier and there is an increase in the length of the growing season. The results showed that in areas where non-climatic factors are cause of the vegetation change, no significant relationship between vegetation and climate parameters could be found by application of NDVI. As we approach the human setellments with more populations and tensions, the relationship between rainfall and vegetation decreases. This may be the impact of human activities.
Type of Study: Research |
Subject:
Special
Received: 2019/10/21 | Accepted: 2019/10/21 | Published: 2019/10/21
Received: 2019/10/21 | Accepted: 2019/10/21 | Published: 2019/10/21
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