Author:

Cheng-Liang Chang,

Jui-Chin Chang

Original Tittle:

Applications of Markov Model and Cellular Automata for Vegetation Recovery Simulation: A Case Study of Mount Jiou Jiou Area

Abstract:

The recovery of vegetation is the most significant landscape in the terrestrial globe. In recent years it has been changed rapidly due to human socio-economic growth and environmental impact. Therefore, many research methods have been applied so as to comprehend and forecast these dynamic changes.  This paper intends to apply some of theses methods and processes to quantify the change of vegetation recovery in Mount Jiou Jiou area. First of all, the graphic data of study area is collected by using the SPOT satellite images of four representative periods (Mar.1999, Oct.1999, Nov.2002 and Nov.2005).  Subsequently the vegetation types and their changes are examined through the Normalized Difference Vegetation Index (NDVI) analysis. Second, the Geographic Information System (GIS) technology is adopted to recognize the distributions of different vegetation types, characteristics of topography and their correlation. Finally, by combining the methods of Markov chains and Cellular automata this study models and simulates the spatio-temporal change of vegetation recovery. The results can be summarized as follow: (1) After 921 earthquake, 80% of vegetation on Mount Jiou Jiou area was destroyed seriously in 1999, therefore the index of NDVI was very low. After that, the vegetation is recovered gradually for recent years under stable weather conditions. (2) The healing situation of vegetation is intensely affected by geomorphologic factors, such as height, slope and aspect. (3).After comparing two models testing, the present study shows that CA-Markov model is more suitable for simulating the change trend of vegetation recovery.

Language:

Chinese

Publisher:

Journal of Geographical Research No.45, November 2006

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Author:

Antonius B. Wijanarto
Geomatics Researcher of BAKOSURTANAL-Indonesia

Abstarct:

Change detection is one of multi temporal analysis in remote sensing that is important for studying the dynamics of environment. Change detection is useful in many applications such as land use changes, habitat fragmentation, rate of deforestation, coastal change, urban sprawl, and other cumulative changes through spatial and temporal analysis techniques such as GIS and Remote Sensing along with digital image processing technique. Markov Change Detection is one
application of change detection that can be used to predict future changes based on the rates of past change. The method is based on probability that a given piece of land will change from one mutually exclusive state to another. These probabilities are generated from past changes and then applied to predict future change.

Publisher:

Jurnal Ilmiah Geomatika Vol. 12, No. 1 Agustus 2006

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Author:

G.P. Patil

Center for Statistical Ecology and Environmental Statistics
Department of Statistics
The Pennsylvania State University
University Park, PA 16802
http://www.stat.psu.edu/~gpp

Content:

1. Multiple and Single Raster Map Analysis

1.1 Introduction

1.2 Setting the Geospatial Raster Stage

1.3 Digital FrontierMovement in Federal Government

1.4 Digital ResearchMovement in Academic Community

1.5 Prospectus

1. Inhouse Prototype Studies and Interactive Case Studies
2. Ecosystem Health Assessment of Landscapes and Watersheds with Remote
   Sensing Data
3. Landscape Patterns and Their Comparison
4. Classified Raster Map Modeling and Simulation with Hierarchical Markov
   Transition Matrix Models
5. Classified Raster Map Analysis for Assessment of Accuracy and Change Detection
   of Landcover and Landuse Maps
6. Analyzing Spatial Variation in Quantitative Data and Determining Contexts
   of Temporal Changes and Class Errors Using Echelon Analysis
7. Integrated Regional Assessment, Model Prediction and Regional Scale Comparison
   Involving Classified Raster Maps
8. Information Visualization, Understanding and Communication
9. Pattern-Based Compression of Remotely Sensed Multi-band Image Data
10. Synergistic Workplan
11. Knowledge Sharing and Technology Transfer
12. References

Publisher:

stat.psu.edu

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Author:

Nelley Kovalevskaya and Vladimir Pavlov

Abstract:

Environmental maps show the probable environmental states of different types of land use or development of landscape in a geographic context. Remotely sensed data are particularly efficient for environmental mapping in order to outline major environmental types. Multiple schemes of image classification used in environmental mapping are either traditionally statistical or heuristic. While the former methods do not take account of spatial variability in space and aerial data, the latter ones does not lend themselves to optimal solutions we present.  Novel probabilistic models of piecewise-homogeneous images are used in environmental mapping to segment real images. The models consider both an image and a land cover map. Such a pair constitutes an example of a Markov random field specified by a joint Gibbs probability distribution of images and maps. Parameters of the model are estimated by using a stochastic approximation technique. Its convergence to the desired values is studied experimentally. Addition of spatial attributes appears to be necessary in most areas where the differences in spatial data between regions in the image occur. Experiments in generating the pairs of images and environmental maps and in segmenting the simulated as well as real images are discussed.

Publisher:

Journal of Environmental Quality 31:1462-1470 (2002)
© 2002

Article Credit:

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Author:

1. CLAUDIA MARIA DE ALMEIDA
2. ANTONIO MIGUEL VIEIRA MONTEIRO
3. GILBERTO CAMARA
4. BRITALDO SILVEIRA
5. SOARES-FILHO
6. GUSTAVO COUTINHO CERQUEIRA
7. CASSIO LOPES PENNACHIN
8. MICHAEL BATTY

Abstract:

This paper is concerned with building up methodological guidelines for modelling urban land-use change through Geographical Information Systems, remote sensing imagery and Bayesian probabilistic methods. A medium-sized town in the west of Sa˜o Paulo State, Bauru, was adopted as a case study. Its urban structure was converted into a 100m6100m resolution grid and transition probabilities were calculated for each grid cell by means of the ‘weights of evidence’ statistical method and upon the basis of the information related to the technical infrastructure and socio-economic aspects of the town. The probabilities obtained from there fed a cellular automaton simulation model—DINAMICA—developed by the Centre for Remote Sensing of the Federal University of Minas Gerais (CSR-UFMG), based on stochastic transition algorithms. Different simulation outputs for the case study town in the period 1979–1988 were generated, and statistical validation tests were then conducted for the best results, employing a multiple resolution fitting procedure.  This modelling experiment revealed the plausibility of adopting Bayesian empirical methods based on the available knowledge of technical infrastructure and socio-economic status to simulate urban land-use change. It indicates their possible further applicability for generating forecasts of growth trends both for Brazilian cities and cities world-wide.

Publisher:

International Journal of Remote Sensing
Vol. 26, No. 4, 20 February 2005, 759–774

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Author: Blišťan Peter

Abstract:

Thematic maps, models and space simulations 3D are frequent form of geological data in GIS. Thematic maps and spatial should represent models date quantitative and qualitative measurement and ground laboratory study in an appropriate form. Point line of the use of trademarks and form of qualitative dates in a practice.On creating thematic maps, models and computer simulations to work together. Researchers and engineers from various special-oriented (geologist, surveyors, builder, ecology, programmer) working together on the creation of thematic maps, the different models and computer simulation. It is important that all the directions and methodological principles were observed in the creation of GIS because GIS can be accumulated in practice not to use.

Journal: Acta Montanistica Slovaca Year: 2007 Vol: 12 Issue: speci 3

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Technorati : geology ; data ; Geographic information systems ; model ; simulation ; thematic maps

Tittle:
Fuzzy Set Based on GIS Application in Land Suitability Evaluation

Author :
M. Ramli
Sumbangan Baja

Abstract: