Identifying historical and recent land-cover changes in Kansas using post-classification change detection techniques

Peterson, D. L.; Egbert, Stephen L.; Price, Kevin P.; Martinko, Edward A.

doi:10.1660/0022-8443(2004)107[0105:iharlc]2.0.co;2

Cited by 16 publications

(8 citation statements)

References 8 publications

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“…Post-classification technique was used to compare between the classified imagery. Post-classification is a term describing the comparative analysis of spectral classifications for different dates produced independently (Peterson et al, 2004;Singh, 1989). Despite criticisms focussing on accumulation of the inherent errors of each individual classification, this is the most appropriate method for comparing multi-source data, as each data layer can be generalized to a common LULC scheme before being compared (Petit and Lambin, 2001).…”

Section: Study Area Data and Methodsmentioning

confidence: 99%

Implications of climate, land-use and land-cover changes for pastoralism in eastern Sudan

Sulieman

Elagib

2012

Journal of Arid Environments

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Section: Study Area Data and Methodsmentioning

confidence: 99%

Implications of climate, land-use and land-cover changes for pastoralism in eastern Sudan

Sulieman

Elagib

2012

Journal of Arid Environments

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“…The main advantages of post-classification change detection are that it provides relatively accurate change detection while avoiding the difficulties associated with the analysis of images acquired at different times of year or by different sensors (Peterson et al 2004;Singh 1989;Coppin et al 2004). The post-classification change detection method was employed to identify conversions of one particular land use category to other land use categories over different time periods, locations, and areal extents.…”

Section: Land Cover Change Detection Analysismentioning

confidence: 99%

Examination of land use/land cover changes, urban growth dynamics, and environmental sustainability in Chittagong city, Bangladesh

Hassan¹,

Nazem

2015

Environ Dev Sustain

121

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As in many other developing countries, cities in Bangladesh have witnessed rapid urbanization, resulting in increasing amounts of land being taken over and therefore land cover changing at a faster rate. Until now, however, few efforts have been made to document the impact of land use and land cover changes on the climate, environment, and ecosystem of the country because of a lack of geospatial data and time-series information. By using open source Landsat data integrated with GIS technologies and other ancillary data, this study attempts to classify land use and create land cover maps, enabling postclassification change detection analysis. By this method, we document the spatial and temporal trajectory of urban expansion in Chittagong, the second largest city in Bangladesh, over a 36-year period. The findings suggest that, over the study period, 56 % of the land cover has undergone change, mainly because of the expansion of built-up areas and other human activities. During the 36-year period, the built-up area around Chittagong city has expanded by 618 %, with an average annual rate of increase of 17.5 %. As a result of rapid urbanization, the vegetated hills near urban development areas face serious threats of further encroachment and degradation, given that 2178 ha of hills have already been intruded over the study period. Because urbanization processes in Bangladesh have traditionally been viewed as the result of population growth and economic development, very little work has been done to track the potential growth trajectory in a physical or spatial context. This study, therefore, will contribute to the current understanding of urban development in Bangladesh from a temporal and spatial point of view. Findings will be able to assist planners, stakeholders, and policy makers in appreciating the dynamism of urban growth and therefore will facilitate better planning for the future to minimize environmental impacts.

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“…In a variety of studies, post-classification change detection has been considered to be one of the most suitable and commonly used methods for change detection (Singh, 1989;Mas, 1999, Jensen,1996Peterson et al, 2004). Post-classification is a term describing the comparative analysis of spectral classifications for different dates produced independently (Singh, 1989).…”

Section: Forestmentioning

confidence: 99%

Using Landsat Satellite Imagery to Determine Land Use/Land Cover Changes in Međimurje County, Croatia

Horvat¹

2014

Hrv. geogr. glas.

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using Landsat satellite images. Spatial dynamics of LU/LC changes were quantified using three Landsat satellite images: MSS, TM and ETM+. Three series of the LU/LC maps of 1978, 1992 and 2007 were produced. Based on the Anderson classification system, LU/LC are classified as: water bodies, forest land, barren land, agricultural land and urban built-up land. Error matrices were used to assess classification accuracy. Significant buildings construction, construction of the reservoir lakes on the Drava River and construction of a highway were major drives of LU/ LC changes in Međimurje County over the study period. This study showed a continuous decrease in agricultural lands in Međimurje County. Consequently, the urban built-up area and the water area increased.Key words: land use/land cover, land use/land cover changes, satellite imageries, Međimurje County Upotreba satelitskih snimaka Landsat za utvrđivanje promjena u načinu upotrebe i pokrovu zemljišta u Međimurskoj županiji u Hrvatskoj U radu se procjenjuju promjene u načinu upotrebe i pokrovu zemljišta u Međimurskoj županiji u Hrvatskoj u razdobljima 1978Hrvatskoj u razdobljima . -1992Hrvatskoj u razdobljima ., 1992Hrvatskoj u razdobljima . -2007Hrvatskoj u razdobljima . i 1978Hrvatskoj u razdobljima . -2007. upotrebom satelitskih snimaka Landsat. Prostorna dinamika promjena načina upotrebe zemljišta i pokrova kvantificirana je upotrebom triju serija satelitskih snimaka Landsat. Izrađene su tri serije karata načina upotrebe i pokrova zemljišta, za 1978., 1992. i 2007. godinu. Na temelju Andersonova klasifikacijskog sustava način upotrebe i pokrov zemljišta klasificirani su kao vodene površine, šumske površine, golo tlo, poljoprivredne površine i urbano područje. Za ocjenu točnosti klasifikacije poslužila je matrica pogrešaka. Značajna izgradnja zgrada, izgradnja akumulacijskih jezera na rijeci Dravi i autoceste najznačajnije su promjene u načinu upotrebe i pokrovu zemljišta u Međimurskoj županiji tijekom promatranog razdoblja. Istraživanje pokazuje kontinuirano smanjenje poljoprivrednog zemljišta u Međimurskoj županiji, zbog čega su građevinsko zemljište i vodene površine povećani.Ključne riječi: upotreba zemljišta, promjene upotrebe zemljišta, satelitske snimke, Međimurska županija Preliminary communicationPrethodno priopćenje 6Hrvatski geografski glasnik 75/2 (2013.)

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Identifying historical and recent land-cover changes in Kansas using post-classification change detection techniques

Cited by 16 publications

References 8 publications

Implications of climate, land-use and land-cover changes for pastoralism in eastern Sudan

Implications of climate, land-use and land-cover changes for pastoralism in eastern Sudan

Examination of land use/land cover changes, urban growth dynamics, and environmental sustainability in Chittagong city, Bangladesh

Using Landsat Satellite Imagery to Determine Land Use/Land Cover Changes in Međimurje County, Croatia

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