Spatial and temporal changes of vegetation cover in granite mountains in central Japan: a GIS-based approach

2002 ◽  
Vol 13 (4) ◽  
pp. 345-357 ◽  
Author(s):  
A. Kimoto ◽  
T. Mizuyama ◽  
K. Okano
Keyword(s):  
Vegetation Cover ◽  
Temporal Changes ◽  
Central Japan ◽  
Spatial And Temporal Changes

scholarly journals Spatial and temporal variation of vegetation cover in Al- Soudah area and its relationship to precipitation during the period (2014- 2018 AD) using remote sensing and geographic information systems: التباين المكاني والزمني للغطاء النباتي بمنطقة السودة وعلاقته بالتساقط خلال الفترة (2014- 2018م) باستخدام الاستشعار عن بعد ونظم المعلومات الجغرافية

2021 ◽  
Vol 5 (3) ◽  
pp. 107-87
Author(s):  
Fadi Abdullah alanazi, Yaser Rashed Alzannan, Faten Hamed Na Fadi Abdullah alanazi, Yaser Rashed Alzannan, Faten Hamed Na
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Geographic Information ◽  
Temporal Changes ◽  
Spatial And Temporal Variation ◽  
Spatial And Temporal Changes ◽  
Modified Soil

Souda is one of the important regions in Saudi Arabia in terms of spatial and temporal changes in vegetation cover; It includes the National Park, which is a leading tourist destination and one of the most beautiful parks in it. by tracking the spatial and temporal changes of vegetation cover by integrating remote sensing and geographic information systems, through the application of the modified soil vegetation index MSAVI during the period (2014- 2018), it became clear the decrease in the quantity and density of vegetation cover in the area. Thus, the study concluded that this indicator is one of the best indicators that can be used to extract vegetation cover from satellite images.

scholarly journals Spatial Assessment of Urbanization Using GIS in Selected Neighbourhoods of Port Harcourt Metropolis

2020 ◽  
pp. 13-24
Author(s):  
Asa Ekpo Bassey ◽  
Precious Nwobidi Ede ◽  
Ebiwari Wokekoro
Keyword(s):  
Water Body ◽  
Vegetation Cover ◽  
Temporal Changes ◽  
Secondary Source ◽  
Spatial Assessment ◽  
A Value ◽  
Spatial Changes ◽  
Spatial And Temporal Changes ◽  
Bare Land ◽  
Landsat 7

This study analyzed the spatial assessment of urbanization in Mgbougba, PH Township, Orazi Rumueme, and Eligbam Rumueme using GIS to determine the spatial and temporal changes. This study adopted data from a secondary source, which includes Landsat (7) TM Thematic Mapper of 1999, 2009 and 2019 of the study areas which were further analyzed to determine spatial and temporal changes that have occurred in the study areas. Findings from this study based on the classified Landsat imageries revealed that in Mgbougba, spatial changes were observed as a result of an increase in built area value of 591 in 1999 to 4066 in 2009 and to 6661 in 2019, hence, caused a reduction in vegetation cover with the value of 5038 in 1999 to 3733 in 2009 and to 1515 in 2019 and also a reduction of water body with a value of 363 in 1999 to 276 in 2009, with the absence of water body in 2019. Spatial changes also occurred in PH Township built-up areas indicating an increase in signature values from 3329 in 1999 to 4646 in 2009 and to 6276 in 2019. There was a decrease in vegetation cover of 2044 in 1999 to 1325 in 2009 and 1258 in 2019, bare land also showed a reduction in signature values of 1239 in 1999 to 1142 in 2009 and 791 in 2019 and finally a reduction of water body from 700 in 1999 to 658 in 2009 and 600 in 2019. In Orazi Rumueme, it revealed there was a significant expansion of built-up area value from 2514 in 1999 to 2978 in 2009 and 3936 in 2019. There was a decline in vegetation cover with a value of 678 in 1999 to 517 in 2009 and 426 in 2019.  Spatial changes in Eligbam Rumueme, showed that built-up area value increased from 780 in 1999 to 878 in 2009 and 1164 in 2019, thus, resulting to a reduction in the vegetation cover with a value from 625 in 1999 to 537 in 2009 and 251 in 2019 which indicated that urbanization led to significant spatial changes in built-up areas, vegetation cover, bare land and water body in the selected neighborhoods. However, the identified pattern of urbanization in the study areas showed that the selected neighborhoods possessed more built-up areas as of 2019 when compared to 1999 and 2009. The spatial analysis of urbanization using GIS aided in understanding the spatial changes that have occurred in the selected neighborhoods and provided plans for sustainable development.

scholarly journals SPATIAL AND TEMPORAL CHANGES OF VEGETATION COVER IN CHINA BASED ON MODIS NDVI

2021 ◽  
Vol 19 (2) ◽  
pp. 1371-1390
Author(s):  
F.R. KASORO ◽  
L. YAN ◽  
W. ZHANG ◽  
B. ASANTE-BADU
Keyword(s):  
Vegetation Cover ◽  
Temporal Changes ◽  
Modis Ndvi ◽  
Spatial And Temporal Changes

Energy Sharing Boundaries Integrating Buildings and Vehicles Tangled in Spatial and Temporal Changes

2020 ◽  
Author(s):  
Soowon Chang ◽  
Takahiro Yoshida ◽  
Robert Brent Binder ◽  
Yoshiki Yamagata ◽  
Daniel Castro-Lacouture
Keyword(s):  
Temporal Changes ◽  
Spatial And Temporal Changes ◽  
Energy Sharing

scholarly journals Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach

2021 ◽  
Vol 13 (7) ◽  
pp. 1340
Author(s):  
Shuailong Feng ◽  
Shuguang Liu ◽  
Lei Jing ◽  
Yu Zhu ◽  
Wende Yan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Environmental Impacts ◽  
Land Surface ◽  
Vegetation Index ◽  
Highway Construction ◽  
Temporal Changes ◽  
Moisture Index ◽  
Buffer Zones ◽  
Wide Range ◽  
Spatial And Temporal Changes

Highways provide key social and economic functions but generate a wide range of environmental consequences that are poorly quantified and understood. Here, we developed a before–during–after control-impact remote sensing (BDACI-RS) approach to quantify the spatial and temporal changes of environmental impacts during and after the construction of the Wujing Highway in China using three buffer zones (0–100 m, 100–500 m, and 500–1000 m). Results showed that land cover composition experienced large changes in the 0–100 m and 100–500 m buffers while that in the 500–1000 m buffer was relatively stable. Vegetation and moisture conditions, indicated by the normalized difference vegetation index (NDVI) and the normalized difference moisture index (NDMI), respectively, demonstrated obvious degradation–recovery trends in the 0–100 m and 100–500 m buffers, while land surface temperature (LST) experienced a progressive increase. The maximal relative changes as annual means of NDVI, NDMI, and LST were about −40%, −60%, and 12%, respectively, in the 0–100m buffer. Although the mean values of NDVI, NDMI, and LST in the 500–1000 m buffer remained relatively stable during the study period, their spatial variabilities increased significantly after highway construction. An integrated environment quality index (EQI) showed that the environmental impact of the highway manifested the most in its close proximity and faded away with distance. Our results showed that the effect distance of the highway was at least 1000 m, demonstrated from the spatial changes of the indicators (both mean and spatial variability). The approach proposed in this study can be readily applied to other regions to quantify the spatial and temporal changes of disturbances of highway systems and subsequent recovery.

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