Monitoring the Natural Factors Influence on Vegetation Development

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Mechanics, Materials Science & Engineering, May 2016

ISSN 2412-5954

Monitoring the Natural Factors Influence on Vegetation Development by Using Moderate-Resolution Imaging Spectroradiometer (Modis) Images with OBIA Method in Uzbekistan Sh. B. Akmalov1, J. V. Gerts2, D. B. Omonov3 1

Lille 1 University of Science and Technology Villeneuve d'ASCQ, Paris, France

2

Tashkent Institute of Irrigation and Melioration, Tashkent, Uzbekistan

3

Tashkent State Agrarian University, Tashkent, Uzbekistan DOI 10.13140/RG.2.1.1185.1920

Keywords: Syrdarya, remote sensing, object based image analysis (OBIA), eCognition, moderate-resolution imaging spectroradiometer (MODIS), NDVI.

ABSTRACT. In the study, natural and anthropogenic effects on vegetation are discussed and degree of their influence are shown in Syrdarya province (Uzbekistan). A statistical model of integrated meteo- and hydro- remote sensing data was developed. By the use of this model the correlation of various natural factors in vegetation period was analyzed and scale-dependency of spatial relationships between NDVI and three climatic factors were investigated. MODIS NDVI images have been used for the study area and OBIA method was applied via eCognition software.

Introduction. Agriculture is a vital industry in Syrdarya province (Uzbekistan) and it plays a key role in supporting the greatest part of population. However, hot summer winds drain the soil and harm the plants. Intense evaporation in summer cause salinization and other negative processes on the surface of the field [1]. Nowadays, remote sensing techniques are widely used in updating land cover information, environmental protection and ecological monitoring. The use of RS data prove to be useful for observation anthropogenic effects, natural and ecological processes on a large scale [2]. RS allows observation of processes over long timescales and at the same time helps us to solve many difficulties and necessities, existing in traditional ecological analyzing method [3]. The high temporal resolution of the MODIS datasets can provide an efficient and consistent way for monitoring of biomass, vegetation and above-mentioned factors. [4] Consequently, such high temporal and medium spatial resolution sensor like MODIS could be a very useful tool for such investigations on the regional scale. Methods and materials. Study area. Syrdarya is one of twelve provinces of Uzbekistan, which borders on Kazakhstan Republic in the north, on Tashkent province in the east, on Tajikistan Republic on the south and on Jizzakh province in the west. Gulistan city is the center of the province. The province is located on the left riverside of Syrdarya, the main source of irrigation water in the province. (Figure 1). The climate of the region is continental with hot and long summers, and short winters with little snow. The long-term annual average temperature in the region is + 14.75 up to 38-2012). Precipitations mainly occur during the winter-spring months showing and averages at 340 mm per year. Relative moisture of the air at wintertime forms 74-78%, but in a year, it is about 29-31%, at average annual rate of 56%. Annual evaporability is 1500 mms [5] (Figure 2).

MMSE Journal. Open Access www.mmse.xyz

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