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:

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:
ZUBAIR, AYODEJI OPEYEMI

ABSTRACT
This project examines the use of GIS and Remote Sensing in mapping Land Use Land Cover in Ilorin between 1972 and 2001 so as to detect the changes that has taken place in this status between these periods. Subsequently, an attempt was made at projecting the observed land use land cover in the next 14 years. In achieving this, Land Consumption Rate and Land Absorption Coefficient were introduced to aid in the quantitative assessment of the change. The result of the work shows a rapid growth in built-up land between 1972 and 1986 while the periods between 1986 and 2001 witnessed a reduction in this class. It was also observed that change by 2015 may likely follow the trend in 1986/2001. Suggestions were therefore made at the end of the work on ways to use the information as contained therein optimally.

A PROJECT SUBMITTED TO THE DEPARTMENT OF GEOGRAPHY,
UNIVERSITY OF IBADAN IN PARTIAL FULFILMENT FOR THE
AWARD OF MASTER OF SCIENCE (MSc) DEGREE IN
GEOGRAPHICAL INFORMATION SYSTEMS
OCTOBER, 2006

Free Donwload Link to Article: http://www.gisdevelopment.net/thesis/OpeyemiZubair_ThesisPDF.pdf