Thematic resolution influence in spatial analysis. An application to Land Use Cover Change (LUCC) modelling calibration

García-Álvarez, David; Lloyd, Christopher; Delden, Hedwig van; Olmedo, María Teresa Camacho

doi:10.1016/j.compenvurbsys.2019.101375

Cited by 24 publications

(15 citation statements)

References 36 publications

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“…Human activities and changes in natural conditions directly cause changes in land use land cover, which in turn affects the changes in the ecological environment [2,37,38]. With the development of "enclosing the lake and making fields" of Poyang Lake, the wetlands area is reduced, vegetation is destroyed, soil erosion is serious, and biodiversity is seriously threatened [39,40].…”

Section: Discussionmentioning

confidence: 99%

“…The area of the lakeshore zone decreased by 139.18 km 2 between 1980 and 2000, a decrease by −11.45%. According to the results from the remote sensing interpretation, the area of the 1 km range lakeshore zone of the lake in 1980 was 1215.38 km 2 , the area of the 1 km range lakeshore zone of the lake in 1990 was 1370.22 km 2 , the area of the 1 km range lakeshore zone of the lake in 2000 was 1076.20 km 2 , and the area of the 1 km range lakeshore zone of the lake in 2005 was 1399.76 km 2 . The area of the 1 km extent lakeshore zone in 2010 was 1584.66 km 2 , the area of the 1 km extent lakeshore zone in 2015 was 1494.19 km 2 , and the area of the 1 km extent lakeshore zone in 2020 was 1457.13 km 2 .…”

Section: Spatial and Temporal Changes Of Poyang Lake And Lakeshore Zonementioning

confidence: 98%

“…How to use land use/cover changes to understand changes in complex humanenvironment systems in an integrated manner-i.e., causes, consequences, and effects-is one of the focal issues in the land use discipline [1]. Many scholars are now beginning to focus on changes in land use landscape patterns from different perspectives and scales [2,3] and are trying to understand land use change and its ecological effects [4][5][6][7]. With the correction and refinement of the principles and methods of Ecosystem Service Value (ESV) estimation and the various ecosystem service values proposed by Costanza et al [8], scholars in various countries have determined the appropriate ESVs for different study areas.…”

Section: Introductionmentioning

confidence: 99%

“…The main research contributions of this paper are: (1) an interpretation of the land use data from Poyang Lake basin, based on remote sensing images from the Landsat series satellite from October to November from 1980 to 2020 over seven periods, and we conducted a change analysis of Poyang Lake and the lakeshore zone, based on the land use data from Poyang Lake over seven periods. (2) The area of Poyang Lake, the area of the lakeshore zone, and the land use type of the lakeshore zone from 1980 to 2020 are analyzed.…”

Section: Introductionmentioning

confidence: 99%

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Changes in Ecosystem Service Value in the 1 km Lakeshore Zone of Poyang Lake from 1980 to 2020

Long

Liu

et al. 2021

Land

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Poyang Lake is a typical lake in the middle and lower reaches of the Yangtze River and is the largest freshwater lake in China. The habitat quality of Poyang Lake has been declining in recent years, leading to a series of ecological problems. An ecological risk evaluation, based on land use, is important in order to promote a coordinated development of land use and the ecological environment. In this paper, land use data from the Poyang Lake basin in the corresponding years are interpreted based on the images from the Landsat satellite mission in seven periods from 1980 to 2020. The lake surface and the 1 km lakeshore zone of Poyang Lake are extracted based on the interpreted land use data. Finally, the ecological service value per unit area of the area is measured by combining it with the Chinese terrestrial ecosystem service value equivalent table, and then with the value of each ecological factor and the value of the changes to land use type. The research results show that: (1) from 1980 to 2000, the lake area of Poyang Lake had an overall decreasing trend (the area slightly increased from 1980 to 1990); from 2000 to 2020, the lake area of Poyang Lake gradually increased (the area slightly decreased from 2015 to 2020). (2) The farmland, forest, grassland and desert areas gradually increased and the wetlands gradually decreased over 40 years; the area of the water body gradually increased from 1980 to 2010, and gradually decreased from 2010 to 2020. (3) The ecosystem service value of the lakeshore zone of Poyang Lake fluctuated around 15,000 × 106 Yuan from year to year.

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Section: Discussionmentioning

confidence: 99%

Section: Spatial and Temporal Changes Of Poyang Lake And Lakeshore Zonementioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Changes in Ecosystem Service Value in the 1 km Lakeshore Zone of Poyang Lake from 1980 to 2020

Long

Liu

et al. 2021

Land

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“…In the dataset, different land types have been given different signs, which come with the raster data and follow the LUCC (Land Use Cover Change) classification system, which divides land types into six primary land types, and twenty-six secondary land types. The raster data can be displayed in color or greyscale [51]. In order to reduce the number of calculations, and reduce the errors caused by the transformation of colored images to greyscale images, this paper has used greyscale images to perform deep learning instead of transforming colored images to greyscale images.…”

Section: Data Sources and Data Processing Methodsmentioning

confidence: 99%

Analysis and Prediction of Land Use in Beijing-Tianjin-Hebei Region: A Study Based on the Improved Convolutional Neural Network Model

Liu

Yang

et al. 2020

Sustainability

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During the rapid economic development of China, there are certain blind decisions made in the use of land resources, which poses a significant threat to sustainable development. With the help of the improved convolutional neural network model, this paper analyzes the land use of the Beijing-Tianjin-Hebei region of China from 1995 to 2018, and provides a prediction for 2023. The research results show that: (1) There is still much room for improvement in the land use of the Beijing-Tianjin-Hebei region, with dry land taking up the largest proportion of land in these three locations; (2) Beijing’s development has been well protected in terms of land use. It is predicted that by 2023, the proportions of its woodland, grassland, and rivers, lakes, reservoirs and ponds would increase by 0.26%, 0.30%, and 0.61%, respectively, compared with their proportion in 2018; (3) the land use type in Tianjin during the research period was generally stable. In 2018, the proportion of its woodland and grassland had increased by 1.04% and 0.61%, respectively, compared with that of 1995; and (4) many ecological and environmental problems were exposed during the construction of highways in Hebei province. The area of sand land, saline-alkali land, marshland, bare land, and bare rock areas have all increased, and their total proportion is predicted to reach 1.48% by 2023.

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The scale issue in Geospatial Analysis. A Review from the Land Use Cover Change Modelling Perspective

García-Álvarez

2023

Key Challenges in Geography

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Thematic resolution influence in spatial analysis. An application to Land Use Cover Change (LUCC) modelling calibration

Cited by 24 publications

References 36 publications

Changes in Ecosystem Service Value in the 1 km Lakeshore Zone of Poyang Lake from 1980 to 2020

Changes in Ecosystem Service Value in the 1 km Lakeshore Zone of Poyang Lake from 1980 to 2020

Analysis and Prediction of Land Use in Beijing-Tianjin-Hebei Region: A Study Based on the Improved Convolutional Neural Network Model

The scale issue in Geospatial Analysis. A Review from the Land Use Cover Change Modelling Perspective

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