Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images
An object-based image analysis (OBIA) technique is replacing traditional pixel-based methods and setting a new standard for monitoring land-use/land-cover changes (LUCC). To date, however, studies have focused mainly on small-scale exploratory experiments and high-resolution remote-sensing images. T...
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| Format: | Article |
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MDPI AG
2018-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/10/12/2012 |
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| author | Kaisheng Luo Bingjuan Li Juana P. Moiwo |
| author_facet | Kaisheng Luo Bingjuan Li Juana P. Moiwo |
| author_sort | Kaisheng Luo |
| collection | DOAJ |
| description | An object-based image analysis (OBIA) technique is replacing traditional pixel-based methods and setting a new standard for monitoring land-use/land-cover changes (LUCC). To date, however, studies have focused mainly on small-scale exploratory experiments and high-resolution remote-sensing images. Therefore, this study used OBIA techniques and medium-resolution Chinese HJ-CCD images to monitor LUCC at the provincial scale. The results showed that while woodland was mainly distributed in the west, south, and east mountain areas of Hunan Province, the west had the largest area and most continuous distribution. Wetland was distributed mainly in the northern plain area, and cultivated land was distributed mainly in the central and northern plains and mountain valleys. The largest impervious surface was the Changzhutan urban agglomerate in the northeast plain area. The spatial distribution of land cover in Hunan Province was closely related to topography, government policy, and economic development. For the period 2000⁻2010, the areas of cultivated land transformed into woodland, grassland, and wetland were 183.87 km<sup>2</sup>, 5.57 km<sup>2</sup>, and 70.02 km<sup>2</sup>, respectively, indicating that the government-promoted ecologically engineered construction was yielding some results. The rapid economic growth and urbanization, high resource development intensity, and other natural factors offset the gains made in ecologically engineered construction and in increasing forest and wetland areas, respectively, by 229.82 km<sup>2</sup> and 132.12 km<sup>2</sup> from 2000 to 2010 in Hunan Province. The results also showed large spatial differences in change amplitude (LUCCA), change speed (LUCCS), and transformation processes in Hunan Province. The Changzhutan urban agglomerate and the surrounding prefectures had the largest LUCCA and LUCCS, where the dominant land cover accounted for the conversion of some 189.76 km<sup>2</sup> of cultivated land, 129.30 km<sup>2</sup> of woodland, and 6.12 km<sup>2</sup> of wetland into impervious surfaces in 2000⁻2010. This conversion was attributed to accelerated urbanization and rapid economic growth in this region. |
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| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-24T00:08:21Z |
| publishDate | 2018-12-01 |
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| spelling | doaj.art-ba47c2abd8bd4a13b23436d62fdfd4502022-12-21T17:24:57ZengMDPI AGRemote Sensing2072-42922018-12-011012201210.3390/rs10122012rs10122012Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing ImagesKaisheng Luo0Bingjuan Li1Juana P. Moiwo2School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaInstitute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, ChinaDepartment of Agricultural Engineering, School of Technology, Njala University, Freetown, Sierra LeoneAn object-based image analysis (OBIA) technique is replacing traditional pixel-based methods and setting a new standard for monitoring land-use/land-cover changes (LUCC). To date, however, studies have focused mainly on small-scale exploratory experiments and high-resolution remote-sensing images. Therefore, this study used OBIA techniques and medium-resolution Chinese HJ-CCD images to monitor LUCC at the provincial scale. The results showed that while woodland was mainly distributed in the west, south, and east mountain areas of Hunan Province, the west had the largest area and most continuous distribution. Wetland was distributed mainly in the northern plain area, and cultivated land was distributed mainly in the central and northern plains and mountain valleys. The largest impervious surface was the Changzhutan urban agglomerate in the northeast plain area. The spatial distribution of land cover in Hunan Province was closely related to topography, government policy, and economic development. For the period 2000⁻2010, the areas of cultivated land transformed into woodland, grassland, and wetland were 183.87 km<sup>2</sup>, 5.57 km<sup>2</sup>, and 70.02 km<sup>2</sup>, respectively, indicating that the government-promoted ecologically engineered construction was yielding some results. The rapid economic growth and urbanization, high resource development intensity, and other natural factors offset the gains made in ecologically engineered construction and in increasing forest and wetland areas, respectively, by 229.82 km<sup>2</sup> and 132.12 km<sup>2</sup> from 2000 to 2010 in Hunan Province. The results also showed large spatial differences in change amplitude (LUCCA), change speed (LUCCS), and transformation processes in Hunan Province. The Changzhutan urban agglomerate and the surrounding prefectures had the largest LUCCA and LUCCS, where the dominant land cover accounted for the conversion of some 189.76 km<sup>2</sup> of cultivated land, 129.30 km<sup>2</sup> of woodland, and 6.12 km<sup>2</sup> of wetland into impervious surfaces in 2000⁻2010. This conversion was attributed to accelerated urbanization and rapid economic growth in this region.https://www.mdpi.com/2072-4292/10/12/2012HJ-CCD imagesobject-based image analysischange monitoringprovincial scale |
| spellingShingle | Kaisheng Luo Bingjuan Li Juana P. Moiwo Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images Remote Sensing HJ-CCD images object-based image analysis change monitoring provincial scale |
| title | Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images |
| title_full | Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images |
| title_fullStr | Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images |
| title_full_unstemmed | Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images |
| title_short | Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images |
| title_sort | monitoring land use land cover changes at a provincial large scale using an object oriented technique and medium resolution remote sensing images |
| topic | HJ-CCD images object-based image analysis change monitoring provincial scale |
| url | https://www.mdpi.com/2072-4292/10/12/2012 |
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