Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userUsing Remote Sensing in Drought Monitoring Case Study: The Eastern Region in Syria
استخدام تقنيات الاستشعار عن بعد في مراقبة الجفاف - حالة المنطقة الشرقية في سورية
1234
1 7
0.0
(
0
)
Added by
Tishreen University رسالة ماجستير
Publication date
2013
fields
Agricultural Engineering
and research's language is
العربية
Created by
Shamra Editor
Ask ChatGPT about the research
هدف هذا البحث دراسة الجفاف في المنطقة الشرقية في سورية باستخدام مؤشر SPI و NDVI. تم استخدام بيانات الأمطار الشهرية للفترة ١٩٧٥ إلى ٢٠١٠ من أجل حساب مؤشر الهطل المطري القياسي SPI وسلسلة مؤلفة من صور MODIS السنوية لشهر نيسان في الفترة ٢٠٠٠ إلى ٢٠١٠ من أجل حساب مؤشر الاختلاف النباتي الطبيعي NDVI.
In this study, drought in the eastern region of Syria (Hasake, Rakka, DerAzzor, Bokmal & Kameshli) has been investigated using SPI, NDVI indices. We used a set of data containing precipitation data for period from 1975 to 2010 to calculate Standardized Precipitation Index SPI, and MODIS time series images in April for period from 2000 to 2010 to calculate the Normalized Difference Vegetation Index NDVI.
References used
Kawabata, A.; Ichii, K.; Yamaguchi, Y. (2001). Global Monitoring Of The Interannual Changes In Vegetation Activities Using NDVI And Its Relationships To Temperature And Precipitation. International Journal Of Remote Sensing. (22), 1377–1382.
rate research
Read More
Climate change is the major global challenge facing water resources managers
because of its impacts on many life fields beginning with agriculture activities to economic
- social regions. In this study, drought in the eastern north of Syria have be
en investigated
(Hasake, Rakka, DerAzzor, Bokmal, Kameshli) using a set of data containing precipitation
data for period from 2000 to 2010, and MODIS time series images for the same period.
This study assure that 2008/2009 described as drought period in the study area, and the
NDVI maps ,which we have, give us an idea about the vegetation status and patterns in the
study area. The study clearly show that NDVI and rainfall was found to be highly
correlated in Rakka with P- Value= 0.003; and medium correlated in the other stations with
P- Value > 0.05.
Results of this study verify needing to use this index (NDVI), along with
precipitation data, in drought monitoring in the eastern north region of Syria. So that,. It
would help managers in making decisions to face drought in this area.
This study includes a full analysis of climatic, vegetation, and topographical factors in Nabe Matta preserve (Drekish Region – Tartous Governorate – Syria), which is considered as the most important factors affecting forest fires. The data were coll
ected for each fire and analyzed by statistical programs (SPSS) and (EXCEL), and the relationship between these multiple factors and the phenomenon of recurrence of fire in one area (fire risk region) was studied. Then the data and the results of the analysis and multi relationship had been studied within the geographic information system software (GIS) to obtain the map of fire risk region, as well as results from topographic maps (1:50.000), aerial photographs (1:25.000), and the needed maps were designed for the study such as (slope map - aspect map - vegetation cover map - infrastructure map - fire risk region map),then places of monitoring towers and centers of rapid intervention in high-risk areas have been proposed for the occurrence of fires. These maps are considered as warning systems and with it we can predict the probability of any fire in the Preserve when the appropriate conditions are provided for it.
Studying of land use changing Detection needs to the speed of implementation to
convoy the changes on the ground. the traditional ways in the analysis and visual
interpretation of the images and field studying need a lot of time and effort. So The
objective of this search is to classify group images (Landsat TM , ETM+) taken in different
dates automatically, and then to calculate the area of each land use/land cover, during the
years studied (1990 -2000- 2010) and comparison areas to identify the most important
changes occurring during that period.
This study aimed to describe the water erosion modeling in Daher Aljabal
and its surrounding areas in Al-Sowaida Governorate based on GIA and RS.
The water erosion risk map was obtained by applying GIS model developed on
the basis of ten factors i
nfluencing the erosion process. GIS layers were built
for every factor. The weights for all factors were added together. Based on sum
of these factors, water erosion was divided into six erosion risk levels. Results
showed that 12% of the study area was classified in levels 5 and 6, which reflect
high and very high water erosion risks. Land topography was the main factor
in water soil erosion. Terraces are effective ways to decrease the water soil
erodability. Results also showed that GIS and RS were powerful tools in water
erosion risk assessment mapping.
The study area (1485 km2) is located in the eastern part of the Syrian Desert
between the provinces of Deir al-Zour and Homs. Stretching from Kabbajeb to
Heer Palace. Due to the similarity of topography, vegetation and land cover, 48
samples were
collected one sample each 4 KM in order to predict the content of
the soil of calcium carbonate through satellite images Land Sat ETM7. The
spectral reflections of surface soil samples were recorded at laboratory using
spectroradiometer (FeildSpecPro®). The results of this study showed that the
presence of calcium carbonate at high rates in the soil increases the spectral
reflectivity values, and that the spectral domain TM 1B was the best to predict
the content of calcium carbonate in the soil.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
