scholarly journals Modeling and Analysis of Ecological Urban Landscape Pattern Evolution Based on Multisource Remote Sensing Data

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Zhang Min ◽  
Wang Xuejie ◽  
Liu Yun
Keyword(s):  
Remote Sensing ◽  
Landscape Pattern ◽  
Green Space ◽  
Urban Landscape ◽  
Remote Sensing Data ◽  
Modeling And Analysis ◽  
Sensing Data ◽  
Development Level ◽  
Modeling Analysis ◽  
Degree Of Fragmentation

Considering that the development of urbanization cannot be separated from the application of landscape pattern evolution, in order to improve the development level of ecocity, a modeling analysis of ecological urban landscape pattern evolution based on multisource remote sensing data is proposed. Taking ecotype city as the research object, the remote sensing images of ecological urban landscape pattern are screened by using multisource remote sensing data and nonremote sensing data as the basic data. CA-Markov model is constructed and the evolution of ecological urban landscape pattern is analyzed. The experimental results show that, from 2005 to 2020, the development level of urbanization process is higher and higher and the area of building land patches is increasing, which reduces the fragmentation of building land patches. However, the landscape of cultivated land and green space is less and less, and the distribution of the patches also causes uneven phenomenon, which leads to the gradual decline of ecological urban landscape diversity. In the ecological urban landscape pattern, the degree of fragmentation and diversity of urban landscape is reduced due to the high connection and coverage of the construction land.

scholarly journals Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years

2021 ◽  
Vol 13 (10) ◽  
pp. 1986
Author(s):  
Junyao Zhang ◽  
Xiaomei Yang ◽  
Zhihua Wang ◽  
Tao Zhang ◽  
Xiaoliang Liu
Keyword(s):  
Remote Sensing ◽  
Landscape Pattern ◽  
Remote Sensing Data ◽  
Distribution Area ◽  
Mangrove Forests ◽  
Landscape Index ◽  
National Scale ◽  
Spatial Changes ◽  
Temporal And Spatial ◽  
Degree Of Fragmentation

As a developing country, China’s mangrove landscape pattern has undergone significant temporal and spatial changes over the last four decades. However, we know little about the changes in the mangrove landscape pattern characteristics other than the area at the national scale. The analysis of mangrove landscape pattern changes from different perspectives on a national scale can provide scientific support for mangrove protection and restoration. In this study, the temporal and spatial changes in the pattern of the mangrove landscape over the last 40 years in China were analyzed based on remote sensing data with high classification accuracy (99.3% of 2018). First, according to the natural geographical conditions of the coastal zone and the distribution of the mangroves, the distribution area of the mangroves in China was divided into 31 natural shores. Then, by selecting representative landscape indexes and constructing an integrated landscape index, the spatial-temporal changes in the landscape pattern of China’s mangroves over the last 40 years were analyzed based on five perspectives: Total area change, shape complexity, connectivity, fragmentation, and the integrated state of the landscape. From a temporal viewpoint, before 2000, the total area of each shore exhibited a downward trend, and the degree of connectivity deteriorated continuously, but the degree of fragmentation was stable at a low level. After 2000, although the total area improved, the degree of fragmentation gradually increased. The spatial changes are mainly reflected by the fact that the shores in Guangdong and Hainan exhibited significant differences within the same province. Based on the above analysis, corresponding scientific suggestions are proposed from temporal and spatial viewpoints to provide guidance for mangrove management and protection in China and to provide a reference for mangrove research in other regions of the world.

scholarly journals ACCOUNTING OF GREEN SPACES BY REMOTE SENSING MATERIALS

2021 ◽  
Vol 4 (2) ◽  
pp. 50-54
Author(s):  
Darya D. Dajbova
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Green Space ◽  
Remote Sensing Data ◽  
Green Spaces ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Sensing Data

The article states the necessity of urban green spaces assessment. The current methods of urban green inventory are described. The necessity of modernization of the methods taking into account the achievements of remote sensing and Geographic Information Systems is stated. The basic outline of using of free-of-charge remote sensing data and ground photography data for green spaces inventory is suggested. A case study of using said data for green space inventory of the selected area in Leninsky district of Novosibirck city, Russia, is described.

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