Spatio-temporal Patterns of Land Use Land Cover Changes over a District in Northern India and their Impact on Environment and Society

2021 ◽  
Vol 97 (6) ◽  
pp. 656-660
Author(s):  
Mohammad Suhail Meer ◽  
Anoop Kumar Mishra ◽  
Mohammd Rafiq
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Temporal Patterns ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Northern India ◽  
Spatio Temporal

The spatio-temporal responses of the carbon cycle to climate and land use/land cover changes between 1981–2000 in China

2012 ◽  
Vol 7 (1) ◽  
pp. 92-102 ◽  
Author(s):  
Zhiqiang Gao ◽  
Xiaoming Cao ◽  
Wei Gao
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Carbon Cycle ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Spatio Temporal

scholarly journals Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019

2021 ◽  
Vol 13 (16) ◽  
pp. 3331
Author(s):  
Han Zhai ◽  
Chaoqun Lv ◽  
Wanzeng Liu ◽  
Chao Yang ◽  
Dasheng Fan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Natural Habitat ◽  
Temporal Patterns ◽  
Support Vector ◽  
Land Use Land Cover ◽  
Development Mode ◽  
Rapid Urbanization ◽  
Spatio Temporal ◽  
Landscape Dynamic

Exploring land use structure and dynamics is critical for urban planning and management. This study attempts to understand the Wuhan development mode since the beginning of the 21st century by profoundly investigating the spatio-temporal patterns of land use/land cover (LULC) change under urbanization in Wuhan, China, from 2000 to 2019, based on continuous time series mapping using Landsat observations with a support vector machine. The results indicated rapid urbanization, with large LULC changes triggered. The built-up area increased by 982.66 km2 (228%) at the expense of a reduction of 717.14 km2 (12%) for cropland, which threatens food security to some degree. In addition, the natural habitat shrank to some extent, with reductions of 182.52 km2, 23.92 km2 and 64.95 km2 for water, forest and grassland, respectively. Generally, Wuhan experienced a typical urbanization course that first sped up, then slowed down and then accelerated again, with an obvious internal imbalance between the 13 administrative districts. Hanyang, Hongshan and Dongxihu specifically presented more significant land dynamicity, with Hanyang being the active center. Over the past 19 years, Wuhan mainly developed toward the east and south, with the urban gravity center transferred from the northwest to the southeast of Jiang’an district. Lastly, based on the predicted land allocation of Wuhan in 2029 by the patch-generating land use simulation (PLUS) model, the future landscape dynamic pattern was further explored, and the result shows a rise in the northern suburbs, which provides meaningful guidance for urban planners and managers to promote urban sustainability.

scholarly journals Spatio-temporal analysis of urban sprawl and land use / land cover changes in a suburb of Lagos and Ogun metropolises, Nigeria (1986-2014)

2020 ◽  
Vol 22 (1) ◽  
pp. 27-42
Author(s):  
O.H. Adedeji ◽  
C.O. Adeofun ◽  
O.O. Tope-Ajayi ◽  
M.O. Ogunkola
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Sprawl ◽  
Forest Cover ◽  
Temporal Analysis ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Change Analysis ◽  
Spatio Temporal ◽  
Light Forest

Urban sprawl and land use / land cover changes in a suburb of Lagos, Nigeria were assessed using Landsat TM 1984 and 2000 and Landsat OLI of 2014. Five broad land use and land cover classes i.e. built-up area, bare ground, water body, thick forest and light forest were identified and mapped. Thick forest had the largest coverage of 8537.72 hectares (67.52%) of the land cover while built-up was just 1075.99 hectares (8.51 %).Between 1984 and 2014 built up areas gained 6423.38 hectares (59.31 % increase) compared to 8612.09 hectares loss by thick forest cover. A post-classification change analysis from 1984 to 2014 reveals that thick and light forest types had the highest net losses because of conversion to other uses, especially built-up. Urbanization and subsequent urban sprawl is a major factor of land degradation leading to rapid losses of non-urban land uses, especially in the urban fringes. Keywords: Land use/land cover change; change detection; remote sensing; GIS; urbanisation

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