scholarly journals Comparison of Surface and Planimetric Landscape Metrics for Mountainous Land Cover Pattern Quantification in Lancang Watershed, China

2012 ◽  
Vol 32 (2) ◽  
pp. 213 ◽  
Author(s):  
Zhang Zhiming ◽  
Frieke Van Coillie ◽  
Robert De Wulf ◽  
Eva M. De Clercq ◽  
Ou Xiaokun
Keyword(s):  
Land Cover ◽  
Landscape Metrics ◽  
Pattern Quantification ◽  
Cover Pattern

scholarly journals RELATIONSHIP BETWEEN LANDCOVER PATTERN AND SURFACE NET RADIATION IN AN COASTAL CITY

2016 ◽  
Vol XLI-B8 ◽  
pp. 1093-1096
Author(s):  
X. Zhao ◽  
L. Liu ◽  
X. Liu ◽  
Y. Zhao
Keyword(s):  
Correlation Analysis ◽  
Land Cover ◽  
Landscape Metrics ◽  
Meteorological Data ◽  
Net Radiation ◽  
Forest Land ◽  
Four Seasons ◽  
Bare Land ◽  
Spatial Composition ◽  
Cover Pattern

Taking Xiamen city as the study area this research first retrieved surface net radiation using meteorological data and Landsat 5 TM images of the four seasons in the year 2009. Meanwhile the 65 different landscape metrics of each analysis unit were acquired using landscape analysis method. Then the most effective landscape metrics affecting surface net radiation were determined by correlation analysis, partial correlation analysis, stepwise regression method, etc. At both class and landscape levels, this paper comprehensively analyzed the temporal and spatial variations of the surface net radiation as well as the effects of land cover pattern on it in Xiamen from a multi-seasonal perspective. The results showed that the spatial composition of land cover pattern shows significant influence on surface net radiation while the spatial allocation of land cover pattern does not. The proportions of bare land and forest land are effective and important factors which affect the changes of surface net radiation all the year round. Moreover, the proportion of forest land is more capable for explaining surface net radiation than the proportion of bare land. So the proportion of forest land is the most important and continuously effective factor which affects and explains the cross-seasonal differences of surface net radiation. This study is helpful in exploring the formation and evolution mechanism of urban heat island. It also gave theoretical hints and realistic guidance for urban planning and sustainable development.

scholarly journals RELATIONSHIP BETWEEN LANDCOVER PATTERN AND SURFACE NET RADIATION IN AN COASTAL CITY

2016 ◽  
Vol XLI-B8 ◽  
pp. 1093-1096
Author(s):  
X. Zhao ◽  
L. Liu ◽  
X. Liu ◽  
Y. Zhao
Keyword(s):  
Correlation Analysis ◽  
Land Cover ◽  
Landscape Metrics ◽  
Meteorological Data ◽  
Net Radiation ◽  
Forest Land ◽  
Four Seasons ◽  
Bare Land ◽  
Spatial Composition ◽  
Cover Pattern

Taking Xiamen city as the study area this research first retrieved surface net radiation using meteorological data and Landsat 5 TM images of the four seasons in the year 2009. Meanwhile the 65 different landscape metrics of each analysis unit were acquired using landscape analysis method. Then the most effective landscape metrics affecting surface net radiation were determined by correlation analysis, partial correlation analysis, stepwise regression method, etc. At both class and landscape levels, this paper comprehensively analyzed the temporal and spatial variations of the surface net radiation as well as the effects of land cover pattern on it in Xiamen from a multi-seasonal perspective. The results showed that the spatial composition of land cover pattern shows significant influence on surface net radiation while the spatial allocation of land cover pattern does not. The proportions of bare land and forest land are effective and important factors which affect the changes of surface net radiation all the year round. Moreover, the proportion of forest land is more capable for explaining surface net radiation than the proportion of bare land. So the proportion of forest land is the most important and continuously effective factor which affects and explains the cross-seasonal differences of surface net radiation. This study is helpful in exploring the formation and evolution mechanism of urban heat island. It also gave theoretical hints and realistic guidance for urban planning and sustainable development.

Integration of Satellite Remote Sensing Techniques and Landscape Metrics to Characterize Land Cover Change and Dynamics

2013 ◽  
pp. 228-244
Author(s):  
Carmelo Riccardo Fichera ◽  
Giuseppe Modica ◽  
Maurizio Pollino
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Landscape Metrics ◽  
Landsat Images ◽  
Aerial Photos ◽  
Multi Temporal ◽  
Urban Rural ◽  
Remote Sensing Techniques

One of the most relevant applications of Remote Sensing (RS) techniques is related to the analysis and the characterization of Land Cover (LC) and its change, very useful to efficiently undertake land planning and management policies. Here, a case study is described, conducted in the area of Avellino (Southern Italy) by means of RS in combination with GIS and landscape metrics. A multi-temporal dataset of RS imagery has been used: aerial photos (1954, 1974, 1990), Landsat images (MSS 1975, TM 1985 and 1993, ETM+ 2004), and digital orthophotos (1994 and 2006). To characterize the dynamics of changes during a fifty year period (1954-2004), the approach has integrated temporal trend analysis and landscape metrics, focusing on the urban-rural gradient. Aerial photos and satellite images have been classified to obtain maps of LC changes, for fixed intervals: 1954-1985 and 1985-2004. LC pattern and its change are linked to both natural and social processes, whose driving role has been clearly demonstrated in the case analysed. In fact, after the disastrous Irpinia earthquake (1980), the local specific zoning laws and urban plans have significantly addressed landscape changes.

scholarly journals Spatial modeling of landscape and land cover pattern in Semarang City

2020 ◽  
Vol 561 ◽  
pp. 012039
Author(s):  
K Sugiyo ◽  
S Supriatna ◽  
Risnarto ◽  
F Afdhalia
Keyword(s):  
Land Cover ◽  
Spatial Modeling ◽  
Cover Pattern

Land cover pattern simulation using an eigenvector spatial filtering method in Hubei Province

2020 ◽  
Vol 13 (4) ◽  
pp. 989-1004
Author(s):  
Jiaxin Yang ◽  
Yumin Chen ◽  
John P. Wilson ◽  
Huangyuan Tan ◽  
Jiping Cao ◽  
...  
Keyword(s):  
Land Cover ◽  
Spatial Filtering ◽  
Hubei Province ◽  
Filtering Method ◽  
Eigenvector Spatial Filtering ◽  
Pattern Simulation ◽  
Cover Pattern
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