Research on Land Use/Cover Classification Based on RS and GIS

Zhang, Yikuan; Lu, K.-M.; He, Ning; Zhang, Peng

doi:10.1109/pma.2006.42

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…In this proposed method Landsat-7, Landsat-8 data are used for classification of the object with less number of bands and identification of the change object details with good accuracy results [4]. Fig.1 represents the enhancement of the Landsat-8, in this image the high-resolution image is used to enhance the brightness details of the total global area.…”

Section: (Iii) Proposed Methodsmentioning

confidence: 99%

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Classification and Change Detection of Tirupati Urban Area using Erosion and Dilation Based PCA Transform

Dharani*,

Sreenivasulu

2019

IJRTE

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 Abstract: In remote sensing, the identification of the land use and land cover (LULC) changes in the global and local region are developed by classification and detection algorithms. This classification system can be developed to meet the needs of state agencies, and Federal for an up-to-date analyze of LULC throughout the entire selected of region area. The multispectral images have multiple low-resolution bands due to lack of sensory acquisition problem, haze-covered on earth objects and atmospheric distributions. So difficult to analyze the full information, the user wrongly interprets the information. Image processing applications can be done for compress and enhance the details of land surface details. The Principal Component Analysis and Morphological operations are implemented for compressing and feature extract the color and earth object values with good accuracy level. Change Detection between the time difference of the proposed enhanced images for land objects classes was computed. The most extensive land cover change category identification of the Tirupati urban Agricultural and forest area for the last 14 years. The change analyzed by using the image differencemethod for obtaining the changing level of the forest and urban development areas between two-timeintervals.15. M. Dharani, G. Sreenivasulu, " Land use and land cover change detection by using principal component analysis and morphological operations in remote sensing applications,, International Journal of Computers and Applications (IJCA),

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Section: (Iii) Proposed Methodsmentioning

confidence: 99%

“…LULC changes are shown an important role in monitoring and managing the environmental changes [4].Theagricultural, vegetation and water bodies are not constant level in various seasons, which are changes in seasonally. Urban expansion also one of the main reasons for losses and reducing these factors.…”

Section: B Land Use and Land Cover Classificationmentioning

confidence: 99%

Classification and Change Detection of Tirupati Urban Area using Erosion and Dilation Based PCA Transform

Dharani*,

Sreenivasulu

2019

IJRTE

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“…LUCC is deemed to have profound influences on regional water circulation, environmental quality, biological diversity and productivity and adaptability of the terrestrial ecosystem [8] , and plays an important role in the watershed ecological analysis. Numerous studies have substantiated that land use/land cover change during urban sprawl has significant effects on the change of surface temperature [9 , 10] , runoff [11][12][13] , soil erosion [11 , 12] , water environment [14 , 15] and biodiversity [16] .etc. At present, related researches on Dianchi watershed about land use/cover change and driving mechanisms, landscape pattern change concentrate more on descriptive analysis of land use structure, land use transition matrix, and landscape indices results [16-2 1].…”

Section: School Of Urban Management and Resources Environmentmentioning

confidence: 99%

Monitoring land use/land cover changes of Kunming city based on remote sensing technology and spatial metrics

Zhang

Zhao

Zhang

2012

2012 20th International Conference on Geoinformatics

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The plateau lakeside Kunming city has experienced three decades of rapid urbanization and high economic growth since 1978 when Ch ina adopted reform and "open-door" policy. Dianchi watershed in which Kunming city is located also experienced the serious deterioration of ecological system from the late 1970s. In search of a viable way to coordinate between urban growth and protection of freshwater lake, objective of this paper is to monitor land use/land cover change of Kunming city through the methods of Remote Sensing (RS), Geographic Information System (GIS), spatial metrics and Moran's I. index. The results show that land use/land cover change in Kunming city is characterized by the sprawl of urban built-up area and the decrease of agricultural land. Urban built-up area has gradually replaced agricultural land to be the most dominant land use type in the study area. Urban growth of Kunming experienced a "clustered-dispersed-clustered" process, sprawling like an expanding pancake. There is very limited space for urban built up area to further expand. Upon the analysis of the aspects that affect the sprawl characteristics, several useful suggestions were made for the authority and planners.

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“…In terms of land use prediction, much of the related research assumes that future LUCC will continue past developmental trends. Land use simulation serves as a crucial element in land use/land cover (LULC) investigations, allowing for simulations to occur over a brief period by leveraging current land classification data [21]. Cellular automata (CA) have been extensively employed as a geographical model to simulate and analyze the spatiotemporal variations in LULC influenced by different factors and driving forces [22,23].…”

Section: Introductionmentioning

confidence: 99%

Streamflow Variation under Climate Conditions Based on a Soil and Water Assessment Tool Model: A Case Study of the Bailong River Basin

Li,

Zhou,

Yue

et al. 2024

Sustainability

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We coupled the global climate models (GCMs) from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and Future Land Use Simulation model (FLUS) to evaluate land use change in the Bailong River Basin (BRB) under three shared socioeconomic pathway and representative concentration pathway scenarios (SSP1–2.6, SSP2–4.5, SSP5–8.5). Additionally, we used calibrated soil and water assessment tools (SWATs) to evaluate the streamflow in the BRB from 2008 to 2100 under the combined influence of climate and land use changes. The results indicate that (1) under the SSP126-EP scenario, forests have been well preserved, and there has been an increase in the combined area of forests and water bodies. The SSP245-ND scenario has a similar reduction pattern in agricultural land as SSP126-EP, with relatively good grassland preservation and a moderate expansion rate in built-up land. In contrast, the SSP585-EG scenario features a rapid expansion of built-up land, converting a significant amount of farmland and grassland into built-up land. (2) From 2021 to 2100, the annual average flow increases under all three scenarios, and the streamflow change is most significant under SSP5–8.5. (3) Compared to the baseline period, the monthly runoff increases, with the most significant increase occurring during the summer months (June to August). This study offers a thorough assessment of potential future changes in streamflow. Its findings are expected to be applied in the future to improve the management of water resources at a local level.

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Research on Land Use/Cover Classification Based on RS and GIS

Cited by 6 publications

References 6 publications

Classification and Change Detection of Tirupati Urban Area using Erosion and Dilation Based PCA Transform

Classification and Change Detection of Tirupati Urban Area using Erosion and Dilation Based PCA Transform

Monitoring land use/land cover changes of Kunming city based on remote sensing technology and spatial metrics

Streamflow Variation under Climate Conditions Based on a Soil and Water Assessment Tool Model: A Case Study of the Bailong River Basin

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