home icon user icon
Welcome to International Network for Natural Sciences | INNS Pub.
Home My Account
Submit Manuscript
double_slash
breadcumb_bg

Investigation of land use change detection using satellite imagery (case study in Behbahan Province hills in Iran)

Paper Details

Research Paper 01/01/2014
Views (211) Download (5)
current_issue_feature_image
publication_file

Investigation of land use change detection using satellite imagery (case study in Behbahan Province hills in Iran)

Kianosh Rostami, Shahram Yousefi Khanghah, Amin heydarpur
J. Bio. Env. Sci.4( 1), 149-156, January 2014.
Certificate: JBES 2014 [Generate Certificate]
Key: Change detectionForest extentLand useSatellite imageryTM and ETM+.

Abstract

Change detection using remote sensing data has been intentioned much expansive with researchers in recent years. This study aimed to investigate changes in the area of Zagros forests using satellite imagery using TM and ETM+ Landsat data to achieve the forest changes from 1986 to 2010. We used post classification method to determination of change detection. The radiometric, geometric and atmospheric errors of satellite images is corrected, training samples selected from Land used then images classified using maximum likelihood algorithm of supervised classification. The results showed that the overall accuracy and kappa coefficient of TM classification is respectively 90.86% and 85%, and ETM+ 95.31% and 93%. After classification maps of TM and ETM+ overlaid to detect changed and measure changed and changing position. The results showed that amount of forest land decreased from 40.61% to 14.95% of the total area, while agriculture, pasture and surface water respectively from 2.11% to 5.44%, 56.75% to 75.13% and 0.53% to 2.44%, increased in this period, and land forest to pasture and then pasture to agriculture have been the more changes. The results showed that the TM and ETM+ satellite imagery able to produce Land use map in Mountain regions.

VIEWS 4
Cover PDF

Akbari MA, Karimzadeh HR, Modarres R, Chakoshi B. 2007. Assessment and classification of desertification using RS & GIS techniques (case study: the arid region, in the north of Isfahan), Iranian J. Range and Desert Res 14, 125-142.

Alavi Panah K. 2009. Principles of Remote Sensing, University of Tehran press,780p.

Alavi Panah, K. and masoudi, M. 2001. Producing land use maping using landsat TM digital data and geographical information system, Gorgan University of Agriculture Sciences and Natural Resources 8, 1.65-76.

Jensen IR. 2004,Digital change detection.Introdutory digital image Processing: A Remote Sensing Perspective467- 494.

Lillesand T, Kiefer R, Chipman J. 2008. Remote Sensing and Image Interpretation, 6th edition, John Wiley & Sons, New York.

Lopez E, Bocco G, Menduza M, Valezquez A, Aguirre Rivera JR. 2005. Peasant emigration and land-use change at the watershed level: A GIS-based approach in Central Mexico. Agricultural Systems, 62-78.

Lu D, Mausel P, Brondi’Zio E, Moran E. 2004. Change detection techniques. International J. Remote Sensing 25, 2365-2407.

Mas JF Velazquez J, Gallegos D, Mayorga Saucedo R, Alcantara C, Bocco G. 2004. Assessing land use/cover changes: a nationwide multidate spatial database for Mexico, International Journal of Applied Earth Observation and Geoinformation, pp: 249-261.

Moradi HR, Fazelpour MR, Sadeghi SHR, Hossieni SZ. 2008. The study of land use change on desertification using remote sensing in Ardakan area. Iranian J. Range and Desert Res. 15, 1-12.

Ojigi LM. 2006. Analysis of spatial variations of Abuja land use and land cover from image classification algorithms. In Proceedings of the ISPRS Commission VII Mid-term Symposium” Remote Sensing: From Pixels to Processes”. Enschede, The Netherlands.

Shataee Jouibary Sh. 2003. Survey Possibility Forest type Map Using Satellite Data the Case Study nowshahr Khairoud kenar. Forestry Ph.D. Thesis. Natural Resource Faculty of Tehran University, 155p.

Shetaee S, Abdi O. 2007. Producing land use maps in Zagros mountainous regions using ETM+ data in Sorkhab, Khoramabad, Lorestan. Journal of Range and Watershed Management 62, 350-363.

Torahi A, Chand rai S. 2011. Land Cover Classification and Forest Change Analysis, Using Satellite Imagery-A Case Study in Dehdez Area of Zagros Mountain in Iran. Journal of Geographic Information System 3, 1-11.

Wakeel AR, Maikhory K, Saxera RK. 2005. Manegagement and Land Use Cover Change in a Typical Micro Watershed in the Mid Elevation Zone of Centeral Himalya, Hndio, Forest Ecology and Manegagement 213, 229-242 pp.

Yousefi S, Moradi H, Hoseini SH, Mirzaie S. 2011. Monitoring changes land use marivan using sensors TM and ETM+ satellite landsat , J. Application remote densing and GIS in the Sciences Natural Resources 2:3, 1-9.

Yuan FKE, Sawaya BC, Loeffelholz Bauer ME. 2005. Land covers classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multi temporal Landsat remote sensing. Remote Sensing of Environment (95), 317–328.

Submit Manuscript