The Spatial classification of Leaf Area in Iran by Modes remote sensing data

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FATEMINIYA FAKHRY SADAT; SOBHANI BEHROUZ; MASOODIAN SEYED ABOLFAZL

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Journal: Journal of Geography and Planning Year:2019 | Volume:23 | Issue:69 Page(s): 213-231

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Title

The Spatial classification of Leaf Area in Iran by Modes remote sensing data

Author(s)

FATEMINIYA FAKHRY SADAT | SOBHANI BEHROUZ | MASOODIAN SEYED ABOLFAZL | Issue Writer Certificate

Keywords

Cluster analysisQ1

ChoroplethQ2

Modis Remote Sensing ImagesQ1

Leaf Area in IranQ1

Abstract

Satellite images as new tools, provide new dimensions for land monitoring. In this study, in order to determine the homogeneous geographical areas in terms of leaf area, the remote sensing images of the Terra-Aqua Modis during the period of 2002-2016 with a spatial resolution of one kilometer and 8 days’ time interval used. Leaf area was Zoning and analysis using the Matlab software and the Google Earth database. For this purpose, first, the mosaic and determination of the territory of Iran in the satellite data set of the Modis was determined. Then, a database in the field of Cluster analysis, Choropleth zoning created. Long-term mean temperature and precipitation data were also used in order to better understand the range of the leaf area. According to this analysis, 39. 9 percent of Iran's vast vegetation is governed. The four zones identified in the country are the large, massive, moderate, and narrow areas. These four domains are respectively 0. 89, 0. 001, 3. 31, and 35. 76 of the land. The results showed that in all studied areas, the leaf area had a higher percentage during The warm period of the year due to the high temperature in this period and the presence of precipitation in the early cold season. The northern slopes of the Alborz, Hyrcanian forests, Golestan forests, Arasbaran forests are areas where there are different regions in all zones. In addition to forests, the areas identified for each generally include fields.

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APA: Copy

FATEMINIYA, FAKHRY SADAT, SOBHANI, BEHROUZ, & MASOODIAN, SEYED ABOLFAZL. (2019). The Spatial classification of Leaf Area in Iran by Modes remote sensing data. JOURNAL OF GEOGRAPHY AND PLANNING, 23(69 ), 213-231. SID. https://sid.ir/paper/365065/en

Vancouver: Copy

FATEMINIYA FAKHRY SADAT, SOBHANI BEHROUZ, MASOODIAN SEYED ABOLFAZL. The Spatial classification of Leaf Area in Iran by Modes remote sensing data. JOURNAL OF GEOGRAPHY AND PLANNING[Internet]. 2019;23(69 ):213-231. Available from: https://sid.ir/paper/365065/en

IEEE: Copy

FAKHRY SADAT FATEMINIYA, BEHROUZ SOBHANI, and SEYED ABOLFAZL MASOODIAN, “The Spatial classification of Leaf Area in Iran by Modes remote sensing data,” JOURNAL OF GEOGRAPHY AND PLANNING, vol. 23, no. 69 , pp. 213–231, 2019, [Online]. Available: https://sid.ir/paper/365065/en

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