Remote sensing analysis of land use change and its driving factors in the northeastern Qinghai province, China

2005 ◽  
Author(s):  
Xiaohong Gao ◽  
Yingzhi Guo ◽  
Yanli Wang ◽  
Yimou Wang ◽  
Lidong Ma
2021 ◽  
Author(s):  
Chunqiu Ren ◽  
Bin Dong ◽  
Ping Wang ◽  
Lei Fang ◽  
Xiang Gao ◽  
...  

Abstract As an important wetland in the world, Poyang Lake wetland is constantly changing its land use mode due to economic development and human activities, thus affecting the ecological environment of wetland.Landsat remote sensing images from 1986 to 2020 are utilized to obtain land use information data through supervised classification and interpretation. Combined with ENVI and ArcGIS software, five land use type maps are generated by taking 8 years or so as the interval period. Land use transfer matrix and land use dynamic attitude are adopted.This paper analyzes the wetland land use change in Poyang Lake and explores the driving factors of wetland land use change in Poyang Lake.The results show that the wetland land use types in Poyang Lake will change greatly from 1985 to 2020, and the change range of construction land, mudflat, paddy field and dry land is relatively large and shows an increasing trend.The area of water and grassland decreased on the whole, and the transferred area was large, which was mainly transferred to construction land, paddy field and dry land.The woodland area increased slowly, but the change range was not large from the perspective of dynamic attitude.The change of wetland area of reed flat decreased first and then increased, and the overall land use change was relatively gentle.According to the grey correlation analysis, the total population and annual precipitation are the main driving factors of land use change in Poyang Lake wetland.Through the above research, it provides important reference for wetland protection and land resource management of Poyang Lake.


Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management


2021 ◽  
Vol 27 ◽  
pp. 1239-1254
Author(s):  
Hong Anh Thi Nguyen ◽  
Tip Sophea ◽  
Shabbir H. Gheewala ◽  
Rawee Rattanakom ◽  
Thanita Areerob ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2757 ◽  
Author(s):  
Kongming Li ◽  
Mingming Feng ◽  
Asim Biswas ◽  
Haohai Su ◽  
Yalin Niu ◽  
...  

Land use and cover change (LUCC) is an important issue affecting the global environment, climate change, and sustainable development. Detecting and predicting LUCC, a dynamic process, and its driving factors will help in formulating effective land use and planning policy suitable for local conditions, thus supporting local socioeconomic development and global environmental protection. In this study, taking Gansu Province as a case study example, we explored the LUCC pattern and its driving mechanism from 1980 to 2018, and predicted land use and cover in 2030 using the integrated LCM (Logistic-Cellular Automata-Markov chain) model and data from satellite remote sensing. The results suggest that the LUCC pattern was more reasonable in the second stage (2005 to 2018) compared with that in the first stage (1980 to 2005). This was because a large area of green lands was protected by ecological engineering in the second stage. From 1980 to 2018, in general, natural factors were the main force influencing changes in land use and cover in Gansu, while the effects of socioeconomic factors were not significant because of the slow development of economy. Landscape indices analysis indicated that predicted land use and cover in 2030 under the ecological protection scenario would be more favorable than under the historical trend scenario. Besides, results from the present study suggested that LUCC in arid and semiarid area could be well detected by the LCM model. This study would hopefully provide theoretical instructions for future land use planning and management, as well as a new methodology reference for LUCC analysis in arid and semiarid regions.


2020 ◽  
Vol 99 ◽  
pp. 105048
Author(s):  
Yang Zhou ◽  
Xunhuan Li ◽  
Yansui Liu

Sign in / Sign up

Export Citation Format

Share Document