In this paper, we describe a new change detection method that determines the date at which land-use changes occur in a sequential series of Landsat TM images. We use this approach to extract annual rates of land conversion in the Pearl River Delta, China, for the period 1988-1996. The technique is a three-step change detection procedure that uses time series and panel econometric methods. First...

Extensive studies have shown that stormwater yield and quality in a city are heavily influenced by its land uses covers (LULC). However, the majority of these been done at major watershed levels using remote sensing data with only few urban LULC types lower resolutions. This empirical study City Corvallis, Oregon U.S. as case to establish robust regression relations between existing or parcel l...

land use may be regarded as one of the most important factors affecting theenvironment with respect to human activities. so far, destroying the rangelands andchanging them into the waste lands and poor rangelands has been proposed as the mostsignificant variations of land use done by human beings. this paper has been conducted toevaluate the variations of vegetation percentage and land uses in ...

many investigations have demonstrated that arid regions display ideal conditions for remote sensing applications such as, land cover/land use detection. the aim of this study was to evaluate the capability of thematic mapper (tm) thermal band in land cover/land use mapping in the ardakan region of yazd province, an area of desert with severe salinity conditions, and the mook region in the f...

the growing population and increasing socio-economic necessities creates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) ...

this study emphasized the ability of genetic algorithm and cellular automate to simulate urban land use changes by integrating adaptive model. the most important part of modeling is to define transition rules.  in this research, a cellular automata model in dinamica ego software was used coupled with genetic algorithm. according to disability of the software for manipulating large number of var...

the growing population and increasing socio-economic necessitiescreates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) i...

land-use planning is a science that determines the type optimum of land-use through studying the ecological characteristics of the land as well as its socio-economic structure. the primary objective of this study is to evaluate the land-use and natural resources for future sustainable land planning using gis. in this study, the makhdoom’s systematic method was used to analyze the ecological and...

In this paper we present and develop a new model, which we have calledDynamics of Land Systems (DLS). The DLS model is capable of integrating multiple datasources to simulate the dynamics of a land system. Three main modules are incorporatedin DLS: a spatial regression module, to explore the relationship between land uses andinfluencing factors, a scenario analysis module of the land uses of a ...