Studying of vegetation change detection by using remote sensing (An applicated study on Lattakia province)

The research aimed to study vegetation change detection of Lattakia province by using remote sensing techniques, By applicating Normalized Differences Vegetation Index (NDVI) due to what these techniques had from quickly, accuracy, and completely. In addition to saving efforts and money. that change detection methods have showed by applicating it on Sentinel2 images the plant situation, it's area and distribution in the studied area. In addition to knowing plant's cover changes through time passing. Putting geo databases which benefit in knowing plant situation, and the periodicity supervision for it's changes. The yearly and monthly changes of vegetation cover have been studied in Lattakia province, By making change detection for plants cover of march between (2016-2017). Then making change detection between march and august of 2017. It was observed that there were no big changes, Whether increasing or decreasing for plants cover when studying the yearly changes. While there was big decreasing of plants cover at western plain areas of province when studying the monthly changes between march and august due to raising of temperatures. And big increasing of vegetation in high areas.

Monitoring the response of natural stands of Cedrus libani A. Richard in Syria to climatic variables by MODIS NDVI

This study was analyzed the temporal variation of Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) of natural stands of cedrus libani in the northern humid part and eastern exposure of the Syrian coastal mountains (Slenfeh, Jawbat Burghal), and its correlation with climatic variables (temperature and precipitation) during the period of 2004-2014. We examined the interannual and seasonal variation in NDVI values of Cedrus stands, and accumulative effects of climatic variables (temperature and precipitation) on stands using simple linear regression and correlation (Pearson). The NDVI values of Cedrus libani stands showed significant increase in Slenfeh and Jawbat Burghal (0.006, 0.004 /year) respectively. We found that the annual mean NDVI was significantly correlated with annual mean precipitation in Jawbat Burghal (R = 0.689).The significant increase trend of seasonal mean NDVI was in Slenfeh summer and Jawbat Burghal winter (R = 0.638, R = 0.724) respectively. The results showed, there were accumulative effects of temperature on Cedrus libani in Slenfeh and Jawbat Burghal in autumn and winter, while the accumulative effects of precipitation in autumn and summer were noted.