Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery
Abstract
:1. Introduction
2. Study area
3. Methodology
3.1 Data
3.2 Image classification and accuracy assessment
3.3 Post-classification change detection
4. Results
4.1 LULC patterns in 1998 and 2003
4.2 LULC changes of five counties from 1998 to 2003
4.3 Urban expansion of five counties in 1998-2003
4.4 Cropland loss of five counties in 1998-2003
4.5 Urban expansion and cropland loss of Guangzhou Municipality in 1998-2003
5. Conclusions
Acknowledgments
References
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Land type | URB | FOR | WAT | DIS | CRO | ORC | DEV |
---|---|---|---|---|---|---|---|
Classification accuracy of 1998 | 94.2% | 86.4% | 89.9% | 76.5% | 78.5% | 72.6% | 73.1% |
Classification accuracy of 2003 | 96.2% | 90.1% | 89.7% | 77.4% | 85.2% | 76.1% | 74.9% |
URB | FOR | CRO | ORC | WAT | DEL | DIK | 1998 | |
---|---|---|---|---|---|---|---|---|
URB | 151.12 | 0.86 | 36.64 | 13.06 | 1.34 | 21.68 | 40.92 | 265.76 |
FOR | 1.33 | 127.15 | 59.57 | 8.93 | 0.01 | 2.36 | 1.36 | 201.14 |
CRO | 21.36 | 40.27 | 234.40 | 50.02 | 0.44 | 26.96 | 24.19 | 398.09 |
ORC | 19.36 | 7.91 | 80.46 | 41.71 | 0.44 | 13.72 | 23.21 | 186.98 |
WAT | 1.67 | 1.20 | 2.05 | 1.07 | 26.01 | 0.71 | 10.15 | 42.96 |
DEL | 53.66 | 1.37 | 28.82 | 8.25 | 0.74 | 30.82 | 21.43 | 145.20 |
DIK | 18.14 | 1.82 | 21.95 | 11.79 | 4.00 | 6.76 | 43.94 | 108.52 |
2003 | 266.80 | 180.70 | 464.09 | 134.93 | 33.44 | 103.10 | 165.61 | 1348.65 |
URB | FOR | CRO | ORC | WAT | DEL | DIK | 1998 | |
---|---|---|---|---|---|---|---|---|
URB | 26.47 | 0.38 | 24.99 | 5.20 | 0.22 | 6.44 | 10.54 | 74.30 |
FOR | 0.51 | 128.62 | 29.92 | 5.92 | 0.32 | 0.58 | 1.67 | 167.67 |
CRO | 72.88 | 227.24 | 589.94 | 116.46 | 12.62 | 53.245 | 152.44 | 1225.17 |
ORC | 7.88 | 15.69 | 70.55 | 17.76 | 0.20 | 4.21 | 11.66 | 128.12 |
WAT | 0.85 | 0.13 | 2.17 | 0.67 | 6.28 | 0.90 | 2.94 | 14.11 |
DEL | 6.11 | 2.78 | 34.34 | 8.00 | 0.20 | 9.96 | 7.55 | 68.63 |
DIK | 9.01 | 3.21 | 39.32 | 11.32 | 3.14 | 4.21 | 52.00 | 122.61 |
2003 | 123.72 | 378.05 | 791.23 | 164.93 | 22.99 | 79.55 | 238.80 | 1799.26 |
URB | FOR | CRO | ORC | WAT | DEL | DIK | 1998 | |
---|---|---|---|---|---|---|---|---|
URB | 15.30 | 0.48 | 10.42 | 0.14 | 2.10 | 2.71 | 31.16 | |
FOR | 19.39 | 803.58 | 144.24 | 0.82 | 99.36 | 11.24 | 1079.74 | |
CRO | 48.22 | 77.51 | 513.56 | 1.88 | 38.43 | 39.83 | 719.59 | |
ORC | ||||||||
WAT | 0.88 | 13.48 | 0.97 | 1.48 | 10.68 | 5.34 | 32.83 | |
DEL | 5.67 | 10.58 | 21.86 | 2.38 | 3.29 | 8.94 | 52.72 | |
DIK | 5.70 | 3.51 | 23.21 | 16.69 | 187.78 | 70.60 | 307.49 | |
2003 | 95.18 | 910.09 | 714.64 | 23.39 | 341.64 | 138.66 | 2223.6 |
URB | FOR | CRO | ORC | WAT | DEL | DIK | 1998 | |
---|---|---|---|---|---|---|---|---|
URB | 54.32 | 4.17 | 28.79 | 9.17 | 1.54 | 2.91 | 10.80 | 111.78 |
FOR | 4.66 | 368.31 | 77.31 | 28.51 | 0.20 | 4.62 | 2.58 | 486.74 |
CRO | 50.13 | 134.36 | 570.49 | 99.94 | 2.00 | 15.38 | 31.52 | 904.02 |
ORC | 13.18 | 6.61 | 53.63 | 35.41 | 0.47 | 2.04 | 9.83 | 121.31 |
WAT | 2.38 | 8.55 | 6.20 | 1.65 | 13.09 | 0.53 | 10.69 | 43.28 |
DEL | 6.12 | 1.15 | 11.68 | 0.98 | 0.39 | 3.19 | 1.50 | 25.02 |
DIK | 5.38 | 0.65 | 12.62 | 5.92 | 3.36 | 0.75 | 17.68 | 46.46 |
2003 | 136.24 | 524.72 | 760.89 | 181.62 | 21.11 | 29.45 | 84.65 | 1738.68 |
URB | FOR | CRO | ORC | WAT | DEL | DIK | 1998 | |
---|---|---|---|---|---|---|---|---|
URB | 47.88 | 1.28 | 20.75 | 1.63 | 0.34 | 10.21 | 7.81 | 89.96 |
FOR | 0.78 | 17.91 | 5.99 | 2.13 | 0.01 | 1.41 | 1.27 | 29.49 |
CRO | 57.99 | 19.4 | 303.47 | 45.49 | 0.60 | 54.33 | 52.65 | 534.18 |
ORC | 1.78 | 3.53 | 14.9 | 9.05 | 0.03 | 1.75 | 1.61 | 32.66 |
WAT | 1.63 | 0.09 | 0.86 | 0.05 | 113.86 | 21.70 | 1.99 | 141.61 |
DEL | 36.60 | 0.94 | 28.19 | 1.30 | 0.24 | 7.69 | 37.34 | 112.36 |
DIK | 29.53 | 3.52 | 52.15 | 4.79 | 18.60 | 131.92 | 11.14 | 252.14 |
2003 | 176.33 | 46.68 | 426.57 | 64.49 | 134.93 | 229.55 | 113.88 | 1192.43 |
Year | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 |
---|---|---|---|---|---|---|---|
GDP | 164625.67 | 184160.52 | 205673.83 | 237591.29 | 271390.79 | 300147.6 | 349687.87 |
Rates of GDP growth | 11.87% | 11.68% | 15.52% | 15.79% | 10.59% | 16.51% |
Regions | Guangzhou | Zengcheng | Panyu | Conghua | Huadu | Whole Guangzhou |
---|---|---|---|---|---|---|
Cropland loss(km2) | 1.0377 | 143.13333 | 107.614 | 4.9563 | 433.95 | 689.653 |
Rate of cropland loss (%) | 0.078 | 3.17 | 4.023 | 0.137 | 7.08 | 3.2988 |
GDP increase (Million Yuan) | 123691.75 | 8575.83 | 18103.99 | 4889.74 | 10266.31 | 165227.35 |
Rate of GDP growth □□□ | 19.05 | 14.03 | 14.81 | 18.68 | 16.53 | 17.98 |
km2/Million Yuan | 0.00000839 | 0.01669 | 0.005944 | 0.001014 | 0.42269 | 0.00417 |
Ratio of growth rates | 0.0041 | 0.0073 | 0.2259 | 0.2716 | 0.4283 | 0.1835 |
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Fan, F.; Weng, Q.; Wang, Y. Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery. Sensors 2007, 7, 1323-1342. https://doi.org/10.3390/s7071323
Fan F, Weng Q, Wang Y. Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery. Sensors. 2007; 7(7):1323-1342. https://doi.org/10.3390/s7071323
Chicago/Turabian StyleFan, Fenglei, Qihao Weng, and Yunpeng Wang. 2007. "Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery" Sensors 7, no. 7: 1323-1342. https://doi.org/10.3390/s7071323