Soil Moisture Determination Using Remote Sensing Data for the Property Protection and Increase of Agriculture Production

Potić, Ivan and Bugarski, Marko and Matić-Varenica, Jelena (2017) Soil Moisture Determination Using Remote Sensing Data for the Property Protection and Increase of Agriculture Production. In: 2017 WORLD BANK CONFERENCE ON LAND AND POVERTY. World Bank, Washington, DC.

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Abstract

Today we are witnesses of global climate changes confirmed by the temperature increase in past 100 years which cause more frequent natural disasters across the globe. In the past six years, the environment in Serbia had suffered great changes when several natural disasters occurred (forest fires, drought, flooding’s). In 2012 the entire territory was affected by extreme drought, and according to the unofficial data, the Government allocated about €150 million to redress its effects. According to the Serbia floods 2014 Recovery Assessment Report, the total amount of the damage and effects is over €1,700 million. Altogether the damage amounts to approximately €1.9 billion. To provide geospatial data that enables generation of adequate information related to floods and droughts, we applied the remote sensing method that relies on the use of soil moisture index (SMI) which in its algorithm uses the data obtained from satellite sensors. As presented by Hunt et al., the index is based on the actual content of water (�), water capacity and wilting point. Multispectral satellite images from visible (red band) and infrared bands (near infrared and thermal bands) are essential for the calculation of the index

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