Multi‐level Land Cover Mapping of the Twin Cities (Minnesota) Metropolitan Area with Multi‐seasonal Landsat TM/ETM+ Data

Yuan, Fei; Bauer, Marvin E.; Heinert, Nathan J.; Holden, Geoffrey R.

doi:10.1080/10106040508542340

Cited by 65 publications

(35 citation statements)

References 12 publications

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“…The study acquired and utilised a series of multi-temporal (cloud cover 10%) Landsat images (30 m resolution) downloaded from the Glovis website (http://glovis.usgs.gov/) for periods 1987, 1999, 2005 and 2014 to characterise land use/cover changes within L. Bunyonyi catchment. Several studies have demonstrated the usefulness of Landsat images in the characterising landscape, land use and cover types (Alberti et al, 2004;Yuan et al, 2005). The downloaded images were taken in the month of January, which is normally a dry month as observed from the precipitation records for the last 30 years in the catchment (The World Bank Group, 2017).…”

Section: Methodsmentioning

confidence: 99%

Land use/cover change patterns in highland ecosystems of Lake Bunyonyi Catchment in western Uganda

Kizza¹,

Tenywa²,

Majaliwa³

et al. 2017

Afr. Crop Sci. J.

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Section: Methodsmentioning

confidence: 99%

Land use/cover change patterns in highland ecosystems of Lake Bunyonyi Catchment in western Uganda

Kizza¹,

Tenywa²,

Majaliwa³

et al. 2017

Afr. Crop Sci. J.

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“…The classification of multi-spectral images has been a successful application that is used for classification of land cover maps (Lunetta and Balogh, 1999;Oettera et al, 2000;Yuan et al, 2005), urban growth (Yeh and Li, 1997;Zhang et al, 2002), forest change (Vogelmann and Rock, 1988;Hall et al, 1991;Coppin and Bauer, 1994), monitoring change in ecosystem condition (Lambin, 1998;Weng, 2002), monitoring assessing deforestation and burned forest areas (Potapov et al, 2008), agricultural expansion (Woodcock et al, 1993;Pax-Lenney et al, 1996), mapping corn (Maxwell et al, 2004), real time fire detection (Dennison and Roberts, 2009), estimating tornado damage areas (Myint et al, 2008), estimating water quality characteristics of lakes (Lillesand et al, 1983;Lathrop et al, 1991;Dekker and Peters, 1993), geological mapping (Mostafa and Bishta, 2004;Bishta, 2010), estimating crop acreage and production (Liu et al, 2005), monitoring of environmental pollution (Zhu and Basir, 2005), monitoring and mapping mangrove ecosystems (Kuenzer et al, 2011).…”

Section: Introductionmentioning

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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“…For image, enhancement and classification the most common nonlinear Histogram Equalize Stretch and Supervised Maximum likelihood Classification were used, respectively [24][25][26][27][28]. Thematic image accuracy has been also evaluated how well the class name on the map correspond to what is really on the ground [29,30].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impacts of Land Use-Cover Change on Hydrology of Melka Kuntrie Subbasin in Ethiopia, Using a Conceptual Hydrological Model

Getahun¹,

Haj²

2015

Hydrol Current Res

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Multi‐level Land Cover Mapping of the Twin Cities (Minnesota) Metropolitan Area with Multi‐seasonal Landsat TM/ETM+ Data

Cited by 65 publications

References 12 publications

Land use/cover change patterns in highland ecosystems of Lake Bunyonyi Catchment in western Uganda

Land use/cover change patterns in highland ecosystems of Lake Bunyonyi Catchment in western Uganda

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

Assessing the Impacts of Land Use-Cover Change on Hydrology of Melka Kuntrie Subbasin in Ethiopia, Using a Conceptual Hydrological Model

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