In determination of cotton planted areas by using satellite images, surface coverage ratio and electromagnetic energy reflection characteristics of the plant constitute are the two most important parameters. In the study, surface covering ratio of cotton was measured every twenty day of its growing period. Using portable spectrometer compatible to LANDSAT 1, 2, 3 and 4 bands, soil and plant reflection values were measured. Considering the surface coverage ratios and reflection characteristics pixel reflection values (mixel) were calculated. Accordingly, surface coverage ratios were determined as 1-4% in April; 4-6 in May; 34% in June; 58% in July and 95% in August. Highest (maximum) reflection values, parallel to the coverage ratio were measured in July 31st and August 20th period. Mixel values and pixels that constituted the test areas in LANDSAT 7 ETM images were correlated and relations were searched. While a considerable negative relation (-0.55) was detected between radiometric measurements and the satellite image captured in May, as a result of correlations of radiometric measurements and July image a very important linear relation (0.97) was determined. It is very important to know the area of cotton fields 0.5-0.6 µm green, 0.6-0.7 µm red and the infrared reflection for Turkey's general agricultural policies due to it s (0.7-1.35 µm close range infrared, 1.35-3.00 µm medium relatively greater economic importance among other range infrared, 3-15 µm further infrared or thermal) . agro-products. Knowing the areas of cotton fields is a Electromagnetic waves of solar photons are reflected, useful data both for calculating the production yield and conducted, spread or absorbed at different wave lengths planning the labor, fertilizer and pesticide expenses. depending on the different cell structures of livin g There are some difficulties in determining the areas of creatures or different molecular structures of non-livin g cotton-fields by using satellite images in areas especially objects. Therefore, resulting from these differences when where the Mediterranean climate is characteristic. the water content of the soil increases a decrease in Diversity of the vegetation depends on the climate. reflection is observed and that causes black areas to Changes in the humidity of soils depending on the season appear on the image. In contrast when the energy is fully and irrigation affect the solar energy reflections in various reflected, the image becomes light-bright. When the ways. Therefore when the reflection values are taken in to organic substances exceed 1% in the soil a decrease in account, while drawing maps of cotton plantations reflection is observed. Reflection characteristics of clays precision ratios are affected negatively. Within this are less than sands. Soils containing iron absorb the light project, soil coverage, solar energy reflection ratios and more than the soils containing calcite and therefore reflect their wavelengths were determined for the cotton, grown less. Plants on the other hand, reflect near infrared in Aegean region, to ease the visual capturing in satellite photons depending on its leaves types, width, cell shape, images. the soil coverage percentage and their stationary position The principal rule of remote sensing (RS) is t o to the surface. Each plant having significant physiological perceive and record the energy either reflected or emitted features, cell shape and different growth period with its by the surface of any object or being that are within the location and intensity in the nature help RS techniqu e range of the sensor. Sensor of LANDSAT 7 ETM show identify them. Identical reflection values of plants can be different wave lengths according to their spectral determined by surface surveys using a portable characteristics and are able to perceive the photons within spectrometer. electromagnetic spectrum are 0.4-0.5 µm blue,
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