Forest mapping and change analysis, using satellite imagery in Zagros Mountain, Iran

Abstract EN

methodology to map and monitor land cover change using multitemporal Landsat Thematic Mapper (TM) and ASTER data in Zagros mountains of Iran for 1990, 1998, and 2006 was developed.

Land-use/cover mapping is achieved through interpretation of Landsat TM satellite images of 1990, 1998 and TERRA-ASTER image of 2006 using ENVI 4.3.

Based on the Anderson land-use/cover classification system, land-use and land-covers are classified as forest land, rangeland, water bodies, agricultural land and residential land.

The unsupervised image classification method was carried out prior to field visit, in order to determine strata for ground truth.

Fieldwork was carried out to collect data for training and validating land-use/cover interpretation from satellite image of 2006, and for qualitative description of the characteristics of each land-use/cover class.

The land-use/cover maps of 1990, 1998 and 2006 were produced by using supervised image classification technique based on the Maximum Likelihood Classifier (MLC) and 132 training samples.

Error matrices as cross-tabulations of the mapped class vs.

the reference class were used to assess classification accuracy.

Overall accuracy, user’s and producer’s accuracies, and the Kappa statistic were then derived from the error matrices.

A multi-date post-classification comparison change detection algorithm was used to determine changes in land cover in three intervals, 1990–1998, 1998–2006 and 1990–2006.

To evaluate the maps change for the 1990 to 2006 interval, areas classified as change and no-change were randomly sampled and checked whether they were correctly classified.

The maps showed that between 1990 and 2006 the amount of forest land decreased from 67% to 38.5% of the total area, while rangelands, agriculture, settlement and surface water increased from 30.8% to 45%, 1.2% to 7.0%, 0.3% to 7.5% and 0.6% to 1.8%, respectively.

In 1990,1998 and 2006, the area was dominated by dense forest (35.9%, 28.9%, 29.3%), open forest and degraded forest ( 21.9%, 24.89%, 27.5%).

During a 16 year span period (1990-2006) about 10170.3 ha, 2963.4 ha, 351.7 ha and 3039.2 ha of forest lands were converted to rangeland, agriculture, water body and settlement.

The overall five-class classification accuracies averaged 78.6%.

Overall accuracy of land cover change maps, generated from post-classification change detection methods and evaluated using several approaches, was found to be 80.1%.

Results quantify the land cover change patterns in the Zagros highlands and demonstrate the potential of multitemporal Landsat and ASTER data to provide an accurate, economical means to map and analyze changes in land cover over time that can be used as inputs to land management and policy decisions.