The dynamics of land cover change pattern and landscape fragmentation in Jiuzhaigou Nature Reserve, China

Author(s):  
Yunqing Hao ◽  
Jinxi Wang ◽  
Hong Jiang
2015 ◽  
Author(s):  
Zezhong Zheng ◽  
Shijie Yu ◽  
Yong He ◽  
Wenqiang Guo ◽  
Wunian Yang ◽  
...  

2017 ◽  
pp. 813-830
Author(s):  
Daniel Unger ◽  
I-Kuai Hung ◽  
Kenneth Farrish ◽  
Darinda Dans

The Haynesville Shale lies under areas of Louisiana and Texas and is one of the largest gas plays in the U.S. Encompassing approximately 2.9 million ha, this area has been subject to intensive exploration for oil and gas, while over 90% of it has traditionally been used for forestry and agriculture. In order to detect the landscape change in the past few decades, Landsat Thematic Mapper (TM) imagery for six years (1984, 1989, 1994, 2000, 2006, and 2011) was acquired. Unsupervised classifications were performed to classify each image into four cover types: agriculture, forest, well pad, and other. Change detection was then conducted between two classified maps of different years for a time series analysis. Finally, landscape metrics were calculated to assess landscape fragmentation. The overall classification accuracy ranged from 84.7% to 88.3%. The total amount of land cover change from 1984 to 2011 was 24%, with 0.9% of agricultural land and 0.4% of forest land changed to well pads. The results of Patch-Per-Unit area (PPU) index indicated that the well pad class was highly fragmented, while agriculture (4.4-8.6 per sq km) consistently showed a higher magnitude of fragmentation than forest (0.8-1.4 per sq km).


2015 ◽  
Vol 6 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Daniel Unger ◽  
I-Kuai Hung ◽  
Kenneth Farrish ◽  
Darinda Dans

The Haynesville Shale lies under areas of Louisiana and Texas and is one of the largest gas plays in the U.S. Encompassing approximately 2.9 million ha, this area has been subject to intensive exploration for oil and gas, while over 90% of it has traditionally been used for forestry and agriculture. In order to detect the landscape change in the past few decades, Landsat Thematic Mapper (TM) imagery for six years (1984, 1989, 1994, 2000, 2006, and 2011) was acquired. Unsupervised classifications were performed to classify each image into four cover types: agriculture, forest, well pad, and other. Change detection was then conducted between two classified maps of different years for a time series analysis. Finally, landscape metrics were calculated to assess landscape fragmentation. The overall classification accuracy ranged from 84.7% to 88.3%. The total amount of land cover change from 1984 to 2011 was 24%, with 0.9% of agricultural land and 0.4% of forest land changed to well pads. The results of Patch-Per-Unit area (PPU) index indicated that the well pad class was highly fragmented, while agriculture (4.4-8.6 per sq km) consistently showed a higher magnitude of fragmentation than forest (0.8-1.4 per sq km).


2008 ◽  
Vol 19 (6) ◽  
pp. 663-675 ◽  
Author(s):  
G. Çakir ◽  
C. Ün ◽  
E. Z. Baskent ◽  
S. Köse ◽  
F. Sivrikaya ◽  
...  

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