Relationship between Rainfall and Surface Soil Moisture ‎within Time series in the Syrian Coast Using Remote Sensing ‎Data

Nada Wafik Mohammad*(1) Waseem Al Mesber(2) and Eyad Ahmad Al_Khaled(3)

(1). Ministry of Agriculture and Agrarian Reform, Damascus, Syria.
(2).Department of Soil, Faculty of Agriculture, Damascus University, Syria.
(3). General Organization of Remote Sensing, Damascus, Syria.
(*Corresponding author: Eng. Nada Wafik Mohammad. E-Mail: 

Received: 20/12/2020                               Accepted: 09/02/2020


This study was carried out in the Syrian coast region with the aim of studying the relationship between the amount of rain precipitation and the surface soil moisture at a depth of 10 cm for a time series starting from 2005 to 2010 and for this purpose data derived from satellite imagery of rain precipitation of type Tropical Rainfall Measuring Mission TRMM was used for each month of the study period from the beginning of January 2005 to December 2010 to get a total of 72 images, in addition to the use of satellite images of surface soil moisture at a depth of 10 cm simultaneously with the space data of rain precipitation. Erdas Imagine and ArcGis software were used to process the images of rain precipitation and soil moisture and their outputs. The correlation between rain precipitation and soil surface moisture was also studied. The produced maps showed that the years 2008 and 2010 were the least recorded years of rain (579 and 544 mm), respectively, while the year 2009 was the highest recording of the precipitation of 1039 mm. This was in line with the maps produced for surface moisture, as the years that retain the highest surface moisture at a depth of 10 cm during this time series were 2009, 2006, 2007, 2005 and the lowest years recording the surface moisture during the studied time series were 2008 and 2010. The results also showed when studying the relationship between ground and surface moisture at the level of the study points and months of the year that rainfalls are concentrated in the months of January and February to decrease in March and April, to clearly decrease from May to almost no in August and July to start to rise from September to ascending until December was somewhat in line with the surface moisture maps. The study of the total correlation of the total time series showed a highly significant positive correlation between the amount of rain and surface moisture of 0.739**. This relationship was at the level of months of the year of high positive correlation for months 1, 2, 4, 10, 11 and 12 and negative for months 6, 7, 8 and 9.

Key words: Remote sensing, Soil surface moisture, Rainfall, Syrian coast.

Full paper in Arabic: PDF