APPLICATION OF REMOTE SENSING DATA IN CHANGE DETECTION OF URBAN LAND USES CASE STUDY: GREEN SPACE OF TABRIZ CITY

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FEYZZADEH B.; JAFARI FIROUZ; NAZMFAR H.

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Journal: HONAR-HA-YE-ZIBA Year:2008 | Volume:- | Issue:34 Page(s): 17-24

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Title

APPLICATION OF REMOTE SENSING DATA IN CHANGE DETECTION OF URBAN LAND USES CASE STUDY: GREEN SPACE OF TABRIZ CITY

Author(s)

FEYZZADEH B. | JAFARI FIROUZ | NAZMFAR H. | Issue Writer Certificate

Keywords

CHANGE DETECTIONQ3

CITY OF TABRIZQ3

GREEN SPACEQ2

OBJECT ORIENTED CLASSIFICATIONQ3

REMOTE SENSINGQ3

Abstract

Now a days city GREEN SPACE is as important and vital element as urban planning. With cities growing, GREEN SPACE of city has been declining to the benefit of residential land. During different times, evaluation of proportional changing of GREEN SPACE reveals rate and distribution of this change. REMOTE SENSING science and art of gain information from object without direct contact them. This technology working base reflected of territorial objects and established in 1972 by U.S with ERTS satellite. Now a days with progress made in technology of REMOTE SENSING and production of satellite image with high Spatial resolution and spectrum resolution and also devolvement of image processing techniques has provided experts with the possibility of changing evaluation. This paper is one of the applications of REMOTE SENSING technology in management of urban resources that has analyzed changed in GREEN SPACE of Tabriz city during 16 years (1989 - 2005). In this research, used of image sensor TM of landsat satellite and image sensor HDR of SPOT satellite to extract CHANGE DETECTION map of case study area. To do so, in pre-Processing stage of images, geometric correction including georefrncing and atmospheric correction was implemented. In processing stage, image after enhancement and define the condition of classify for each land use class, OBJECT ORIENTED CLASSIFICATION was implemented by using nearest neighbor algorithm in the field of eCognation software. This is the approach to image analysis that combines spectral information and spatial information. This approach segments the pixels into objects according to the tone of the image and classifies image by treating each object as a whole. Utilizing the texture and contexture information of the object in addition to only using spectral information, object orient image analysis has more powerful image analysis ability. The basic theory of object oriented approach is the fuzzy theory, in the case of the overlapping area in the feature space, pixels in the overlapping areas will not be classified only into one information class, which is not correct in the real world, but are given different membership to one (with the value 1) or more than one (with the value between 0 to 1) information class. After OBJECT ORIENTED CLASSIFICATION, To evaluate results, Overall Accuracy, stability classification, best result classification and Kappa Coefficient frame were extracted for each classification and it was determined that among TM image classifications estimated overall accuracy %94 and Kappa Coefficient about 0.9255 and SPOT image classification estimated overall accuracy %98 and Kappa Coefficient about 0.9778. The next stage we exported the maps to GIS and constituted Geodatabase for each map and presented the result by calculated area of land use class. Metropolitan Tabriz, as a largest city of northwest Iran, has experimented large changes in land use in the past two decades. These results demonstrate that GREEN SPACE of Tabriz city has been decreased more than 46 percent, during the study (16 years) and rate of GREEN SPACE for each individual diminished from 14 square meters in 1989 to 5.7 square meters in 2005.

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APA: Copy

FEYZZADEH, B., JAFARI, FIROUZ, & NAZMFAR, H.. (2008). APPLICATION OF REMOTE SENSING DATA IN CHANGE DETECTION OF URBAN LAND USES CASE STUDY: GREEN SPACE OF TABRIZ CITY. HONAR-HA-YE-ZIBA, -(34), 17-24. SID. https://sid.ir/paper/5716/en

Vancouver: Copy

FEYZZADEH B., JAFARI FIROUZ, NAZMFAR H.. APPLICATION OF REMOTE SENSING DATA IN CHANGE DETECTION OF URBAN LAND USES CASE STUDY: GREEN SPACE OF TABRIZ CITY. HONAR-HA-YE-ZIBA[Internet]. 2008;-(34):17-24. Available from: https://sid.ir/paper/5716/en

IEEE: Copy

B. FEYZZADEH, FIROUZ JAFARI, and H. NAZMFAR, “APPLICATION OF REMOTE SENSING DATA IN CHANGE DETECTION OF URBAN LAND USES CASE STUDY: GREEN SPACE OF TABRIZ CITY,” HONAR-HA-YE-ZIBA, vol. -, no. 34, pp. 17–24, 2008, [Online]. Available: https://sid.ir/paper/5716/en

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