Forestry prediction using cellular automata in satellite images

被引：0

作者：

Gonçalves, RM ^{[1
]}

Centeno, TM ^{[1
]}

Selleron, G ^{[1
]}

机构：

[1] CPGEI, Ctr Fed Educ Tecnol Parana, BR-80230901 Curitiba, Parana, Brazil

来源：

REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY V | 2004年 / 5232卷

关键词：

cellular automata (CA); remote sensing; forestry modeling; geographic information system (GIS); spatio-temporal prediction;

D O I：

10.1117/12.509693

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

This work approaches the study of Cellular Automata to the simulation of Satellite Remote Sensing images applied to modeling environment landscape dynamics. The images were collected by SPOT and Landsat-MSS from one forest in different times. After the geometric correction and images treatment a binary map will be formed by pixels that contain information about the forest existence. The main purpose is to predict in a geographic map what will happen with the landscape forest in the future. The simulation is done through the analysis of the temporal maps in accordance with their progression, regression or stability in time and with rules that describes how CA do the simulation. The results achieved are predict maps very useful for a environmental analysis. The experimental tests have showed promising results for studies related to forestry modeling.

引用

页码：257 / 267

页数：11

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