@article{(Open Science Index):https://publications.waset.org/pdf/14029,
	  title     = {Study of Remote Sensing and Satellite Images Ability in Preparing Agricultural Land Use Map (ALUM)},
	  author    = {Ali Gholami},
	  country	= {},
	  institution	= {},
	  abstract     = {In this research the Preparation of Land use map of
scanner LISS III satellite data, belonging to the IRS in the Aghche
region in Isfahan province, is studied carefully. For this purpose, the
IRS satellite images of August 2008 and various land preparation
uses in region including rangelands, irrigation farming, dry farming,
gardens and urban areas were separated and identified. Therefore, the
GPS and Erdas Imaging software were used and three methods of
Maximum Likelihood, Mahalanobis Distance and Minimum Distance
were analyzed. In each of these methods, matrix error and Kappa
index were calculated and accuracy of each method, based on
percentages: 53.13, 56.64 and 48.44, were obtained respectively.
Considering the low accuracy of these methods in separation of land
preparation use, the visual interpretation of the map was used.
Finally, regional visits of 150 points were noted at random and no
error was observed. It shows that the map prepared by visual
interpretation is in high accuracy. Although the probable errors due
to visual interpretation and geometric correction might happen but
the desired accuracy of the map which is more than 85 percent is
reliable.},
	    journal   = {International Journal of Agricultural and Biosystems Engineering},
	  volume    = {4},
	  number    = {11},
	  year      = {2010},
	  pages     = {793 - 797},
	  ee        = {https://publications.waset.org/pdf/14029},
	  url   	= {https://publications.waset.org/vol/47},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 47, 2010},
	}