Paper Info
Title
Watershed Land Cover/Land Use Mapping Using Remote Sensing and Data Mining in Gorganrood, Iran.
Abstract
The Gorganrood watershed (GW) is experiencing considerable environmental change in the form of natural hazards and erosion, as well as deforestation, cultivation and development activities. As a result of this, different types of Land Cover/Land Use (LCLU) change are taking place on an intensive level in the area. This research study investigates the LCLU conditions upstream of this watershed for the years 1972, 1986, 2000 and 2014, using Landsat MSS, TM, ETM+ and OLI/TIRS images. LCLU maps for 1972, 1986, and 2000 were produced using pixel-based classification methods. For the 2014 LCLU map, Geographic Object-Based Image Analysis (GEOBIA) in combination with the data-mining capabilities of Gini and J48 machine-learning algorithms were used. The accuracy of the maps was assessed using overall accuracy, quantity disagreement and allocation disagreement indexes. The overall accuracy ranged from 89% to 95%, quantity disagreement from 2.1% to 6.6%, and allocation disagreement from 2.1% for 2014 to 2.7% for 2000. The results of this study indicate that a significant amount of change has occurred in the region, and that this has as a consequence affected ecosystem services and human activity. This knowledge of the LCLU status in the area will help managers and decision makers to develop plans and programs aimed at effectively managing the watershed into the future.
Year
DOI
Venue
2016
10.3390/ijgi5050057
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
GEOBIA,data mining,machine learning,Landsat
Data mining,Ecosystem services,Remote sensing,Watershed,Environmental change,C4.5 algorithm,Deforestation,Land cover,Geography,Natural hazard,Land use
Journal
Volume
Issue
ISSN
5
5
2220-9964
Citations 
PageRank 
References 
4
0.57
7
Authors
2
Name
Order
Citations
PageRank
Masoud Minaei150.95
Wolfgang Kainz215018.79