Abstract
Sindh province has diverse agro-climatological regions ranging from irrigated agricultural belt in the middle and desert to the east and bare hilly ranges on the west. Climate of the province is semi-arid with low annual precipitation of around 200mm. Agriculture and agribusiness is the main source of livelihood for majority in the province. Soil moisture study is an important parameter in agriculture, hydrology and hydrometeorology for studies related to sustainable development of agriculture and agribusiness in the province. In agriculture, soil moisture is used to study evapotranspiration, droughts, irrigation scheduling, and crop yield forecasting. It is also important for the environmental studies like subsequent precipitation patterns, temperature change and water quality. Soil moisture plays an important role in hydrology e.g., flood control, soil erosion and slope failure, reservoir management, geotechnical engineering and runoff generation. Due to synoptic coverage and high temporal resolution satellite remote sensing is ideal for instantaneous measurement of soil moisture content and its spatial and temporal behavior. In this study soil moisture at province level has been mapped through Advanced Microwave Scanning Radiometer (AMSR-E) and Moderate Resolution Imaging Spector Radiometer (MODIS) for the years 2007 and 2010. As 2007 was as normal year while 2010 was a wet year due to heavy rainfall and flood in the province, both the years have been selected to study soil moisture anomalies in normal and wet seasons. The results of MODIS derived soil moisture is in moderate agreement with AMSR-E soil moisture product proving the effectiveness of high resolution products in optical range.
References
Houser PR, et al. Integration of soil moisture remote sensing and hydrologic modeling using data assimilation. Water Resources Research 1998; 34(12): 3405-3420. http://dx.doi.org/10.1029/1998WR900001
Bolten JD, et al. Evaluating the utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of 2010; 3(1): 57-66. http://dx.doi.org/10.1109/JSTARS.2009.2037163
Dai A, Trenberth KE, Karl TR. Effects of clouds, soil moisture, precipitation, and water vapor on diurnal temperature range. Journal of Climate 1999; 12(8): 2451-2473. http://dx.doi.org/10.1175/1520-0442(1999)012<2451:EOCSMP>2.0.CO;2
Schmugge T, et al. Passive microwave remote sensing of soil moisture: Results from HAPEX, FIFE and MONSOON 90. ISPRS Journal of Photogrammetry and Remote Sensing 1992; 47(2): 127-143. http://dx.doi.org/10.1016/0924-2716(92)90029-9
Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment 2002; 79(2): 213-224. http://dx.doi.org/10.1016/S0034-4257(01)00274-7
Crawford TM, et al., Using a soil hydrology model to obtain regionally averaged soil moisture values. Journal of Hydrometeorology 2000; 1(4): 353-363. http://dx.doi.org/10.1175/1525-7541(2000)001<0353:UASHMT>2.0.CO;2
Wagner W, et al. Soil moisture from operational meteorological satellites. Hydrogeology Journal 2007; 15(1): 121-131. http://dx.doi.org/10.1007/s10040-006-0104-6
Huda, S.N. and F. Burke, Social and economic disparities, Sindh, Baluchistan and Pakistan-A comparative study. The Research Journal of Sciences and Technology 2011; 2(1&2): 49-66.
Snyder WC, et al., Classification-based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing 1998; 19(14): 2753-2774. http://dx.doi.org/10.1080/014311698214497
Carlson TN, Gillies RR, Perry EM. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sensing Reviews 1994; 9(1-2): 161-173. http://dx.doi.org/10.1080/02757259409532220
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Copyright (c) 2015 Syed Shahid Ali, Muhammad Usman Khan , Sayed Sanaullah Shah