Remote sensing and GIS-based integrated analysis of land cover change in Duzce plain and its surroundings (north western Turkey)

Ikiel, Cercis; Ustaoğlu, Beyza; Dutucu, Ayşe Atalay; Kilic, Derya

doi:10.1007/s10661-012-2661-6

Cited by 45 publications

(31 citation statements)

References 13 publications

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“…Most studies have focused on LUCC analysis of environmental response and driving forces, but few have looked at land-use planning. Considering the spatial characteristics of land use, most investigators have used geospatial information system (GIS) RS as a research tool for preparing land-use maps, which is an intuitive approach to displaying planning programs [17]. Some have also set up scenarios and constructed models that integrate socioeconomic and ecological aspects to support land-use planning decisions [18].…”

Section: Introductionmentioning

confidence: 99%

Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China

Song

et al. 2013

Entropy

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Abstract:In recent years, changes in land use resulting from rapid urbanization or urban sprawl have brought about many negative effects to land ecosystems, and have led to entropy increases. This study introduces the novel ideas of a planning regulation coefficient for sustainable land-use planning in order to decrease entropy, combined with the CLUE-S model to predict land-use change. Three scenarios were designed as the basis for land-use projections for Guangzhou, China, in 2015, and the changes in the land ecological service function for each scenario were predicted. The results show that, although the current land-use plan is quite reasonable, it will be necessary to further strengthen the protection of farmland and important ecological service function areas.

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Section: Introductionmentioning

confidence: 99%

Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China

Song

et al. 2013

Entropy

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“…Similar case similar to Lu and Weng (2006) who also found that in low resolution image the water bodies or shadow and dark impervious surface [urban or built-up area] usually have undifferentiated spectral values and error in an estimation of impervious surface happened in the lessdeveloped area where there were mixture of impervious surfaces, vegetation and soil. Ikiel et al (2013) who used Landsat TM to study land cover change also support that the classification accuracy of the urban or built-up area was very low as a result of heterogeneous character of this area.…”

Section: Lulc Classificationmentioning

confidence: 81%

Monitoring Land Use and Land Cover Effects on Water Quality in Cheung Ek Lake using ASTER Images

Im¹,

Kawamura²,

Suwandana³

et al. 2015

American Journal of Environmental Sciences

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Cheung Ek Lake is the biggest natural treatment plant for nearly 80% of wastewater and storm-water from Phnom Penh city. Land Use and Land Cover (LULC) changes of the lake and its catchment area could deteriorate capacity of the lake in purifying wastewater and affect to its water quality. The study aims to assess the relationship between LULC changes and water quality using ASTER images with field observations. Three pairs of temporal ASTER images in 2002, 2009 and 2011 acquired in dry season were used to make LULC map with five classes: (1) Urban or built-up areas, (2) rangeland, (3) agricultural land, (4) water bodies and (5) barren land, using Maximum Likelihood (ML) classification method. Post-classification comparison was chosen to study changes from 2002 to 2009 and from 2009 to 2011. The water quality data of the Ministry of Environment from 2000 to 2013 were used to study water quality change. Spatial distribution of water quality parameters including total phosphorus, total nitrogen, chemical oxygen demand, five-day biochemical oxygen demand, total suspended solids and chlorophyll-a was observed in the rainy and dry seasons in 2012 and 2013, respectively. The results showed that ML gave moderate level with overall accuracy of around 60% and Kappa coefficient of around 0.48 for classification images in all three dates. Also, some significant change were happened between 2002 and 2011; rangeland decreased by approximately 22%, while agricultural land and urban or built-up areas increased by more than 2 and 16%, respectively. In addition to the downward trend of water quality status changes recorded by the Ministry of Environment from 2000 to 2013, the spatial distribution maps revealed that wastewater from the city was the main source of water quality deterioration. These results might be suggested that LULC changes of the lake's catchment area appeared to have negative effects on water quality of the lake.

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“…The total root mean square (RMS) error for this study was 4.5 m approximately, which is less than half the size of the pixel (15 m) [30,31]. The images were georeferenced using the Universal Transverse Mercator projection (UTM-49N, WGS-84) and resampled to 30 m spatial resolution [32]. The processing of remote-sensing satellite was carried out using the software package of Erdas Image V9.3 [33].…”

Section: Satellite Images Pre-processingmentioning

confidence: 99%

Wetland Transitions and Protection under Rapid Urban Expansion: A Case Study of Pearl River Estuary, China

Zhao¹,

Wang²,

Cai³

et al. 2016

Sustainability

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Understanding wetland changes under urbanization is important for wetland management. In this study, net transition intensity (NTI) and total transition intensity (TTI) are presented to characterize wetland transitions based on spatial data obtained from Landsat satellite images of Pearl River estuary in South China. NTI is commonly used to represent changes in absolute amounts for each class of wetland, while TTI reflects the internal transition activities and amounts. The third index, the urbanization intensity index (UII), is used to investigate the intensity and velocity of urban land expansion at the same time periods. The results show that one-third of the total wetland area was lost from 1979 to 2009 in the study area and seven types of estuarine wetlands were degraded. The basic pattern of wetland transition is from natural wetlands to constructed wetlands and then to urban lands. Intertidal mud and sand and paddy fields were the major natural and constructed wetlands, respectively, transferred to urban lands. The TTI value was generally greater than the NTI value for these wetlands. TTI >> NTI is an important indicator for wetland transitions under rapid urban expansion in the Pearl River estuary. Based on the integration of the two indices (NTI and TTI), a protection and management plan framework for the Pearl River estuary wetlands is proposed. This plan emphasizes the key and important zones and their different features, and includes actions that can be implemented in and around natural and constructed wetlands.

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Remote sensing and GIS-based integrated analysis of land cover change in Duzce plain and its surroundings (north western Turkey)

Cited by 45 publications

References 13 publications

Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China

Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China

Monitoring Land Use and Land Cover Effects on Water Quality in Cheung Ek Lake using ASTER Images

Wetland Transitions and Protection under Rapid Urban Expansion: A Case Study of Pearl River Estuary, China

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