ANALYSIS THE CLIMATIC THRESHOLDS FOR GROWTH OF THE PASTURES BY REMOTE SENSING DATA (CASE STUDY ZAGROSS)

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FARAJZADEH ASL M.; FATHNIA A.; ALIJANI B.; ZEAIEAN P.

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Journal: Journal of Spatial Planning Year:2010 | Volume:14 | Issue:3 (67) Page(s): 177-201

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Title

ANALYSIS THE CLIMATIC THRESHOLDS FOR GROWTH OF THE PASTURES BY REMOTE SENSING DATA (CASE STUDY ZAGROSS)

Author(s)

FARAJZADEH ASL M. | FATHNIA A. | ALIJANI B. | ZEAIEAN P. | Issue Writer Certificate

Keywords

TEMPERATUREQ2

PRECIPITATIONQ2

RELATIVE HUMIDITYQ2

PASTURES ZAGROSSQ3

AVHRRQ2

Abstract

Changes in TEMPERATURE and PRECIPITATION can profoundly influence plant phonological status such as the date of the onset of green-up, the rate of biomass accumulation, and the onset and rate of vegetation senescence. For study of the satellite images are necessary vegetation index. One of the most used indices is the Normalized Difference Vegetation Index (NDVI). Several studies have investigated relationship between AVHRR-NDVI and climatic factors. For example, Diodato and Bellocchi assessed relation between NDVI and TEMPERATURE and PRECIPITATION varability in Monte Pino region in Italy. This research results showes is high correlation between greenness and climatic pattern. In Iran, researchers assessed only relation between drought and NDVI. Shamsipour has been studied drought for the Kashan area using NDVI and VCI. The results of that study show that there are almost suitable relations between NDVI and VCI with meteorological methods. According to product of utilization NDVI and VCI, 2000 and 2001 years were with drought condition, and 2002, 2004 years were with wetness. In this study Advanced Very High Resolution Radiometer (AVHRR) images and climatic data for 2006 were used in order to recognizing the climatic thresholds in Zagross pastures (low, middle and high density pastures). First, AVHRR images have implement geometric correction. Then, calculate NDVI index and maximum value composite (MVC) for any months. For climatic factors used from interpolation method (IDW, Kriging and CoKriging), and extracted errors for methods. Then, have selected optimum method for interpolation the climatic factors. The results of the classification of R2 between monthly Maximum Value Composite Normalized Difference Vegetation Index (NDVI) and interpolated climate factors (precipitation, TEMPERATURE and RELATIVE HUMIDITY) shows the highest amount of R2 at 0.6478 in dense pastures. The lowest amount of R2 is at the low density pastures. Overall, Zagross pastures increase in density based on their height. However, PRECIPITATION increases and TEMPERATURE decreases along with height. Also, Humidity has various distributions with height. In the low density pastures, NDVI rises up to 220 mm PRECIPITATION. TEMPERATURE threshold for vegetation growth is 4oC. The effect of 38-108mm PRECIPITATION and 18-21oC TEMPERATURE is noticeable in increasing NDVI in middle density pastures. TEMPERATUREs higher than 12oe in winter increase NDVI. So, NDVI increases in 33-109 mm PRECIPITATION in high density pastures. The TEMPERATURE from 16oe to 22oe increases NDVI. Overall, the results of this study showed that in all density pastures, the average RELATIVE HUMIDITY more than 40% increases NDVI. In addition, TEMPERATURE plays the main role in increasing NDVI in winter. This factor is PRECIPITATION in summer. In springs, however, both PRECIPITATION and TEMPERATURE have the same effects on NDVI.

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APA: Copy

FARAJZADEH ASL, M., FATHNIA, A., ALIJANI, B., & ZEAIEAN, P.. (2010). ANALYSIS THE CLIMATIC THRESHOLDS FOR GROWTH OF THE PASTURES BY REMOTE SENSING DATA (CASE STUDY ZAGROSS). SPATIAL PLANNING (MODARES HUMAN SCIENCES), 14(3 (67)), 177-201. SID. https://sid.ir/paper/171981/en

Vancouver: Copy

FARAJZADEH ASL M., FATHNIA A., ALIJANI B., ZEAIEAN P.. ANALYSIS THE CLIMATIC THRESHOLDS FOR GROWTH OF THE PASTURES BY REMOTE SENSING DATA (CASE STUDY ZAGROSS). SPATIAL PLANNING (MODARES HUMAN SCIENCES)[Internet]. 2010;14(3 (67)):177-201. Available from: https://sid.ir/paper/171981/en

IEEE: Copy

M. FARAJZADEH ASL, A. FATHNIA, B. ALIJANI, and P. ZEAIEAN, “ANALYSIS THE CLIMATIC THRESHOLDS FOR GROWTH OF THE PASTURES BY REMOTE SENSING DATA (CASE STUDY ZAGROSS),” SPATIAL PLANNING (MODARES HUMAN SCIENCES), vol. 14, no. 3 (67), pp. 177–201, 2010, [Online]. Available: https://sid.ir/paper/171981/en

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