Landscape dynamics analysis of the Yongding River watershed (Mentougou section) by multi-temporal Landsat imagery

2007 ◽  
Author(s):  
Yuhu Zhang ◽  
Changqing Yu ◽  
Jiaguo Qi ◽  
Zili Zhang ◽  
Qinshan Shi
Keyword(s):  
Landsat Imagery ◽  
Landscape Dynamics ◽  
Dynamics Analysis ◽  
River Watershed ◽  
Multi Temporal ◽  
The Yongding River ◽  
Yongding River

scholarly journals Simulation of Vegetation Cover Based on the Theory of Ecohydrological Optimality in the Yongding River Watershed, China

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1377
Author(s):  
Yixuan Zhang ◽  
Tingning Zhao ◽  
Changqing Shi ◽  
Qiang Ma
Keyword(s):  
Optimality Theory ◽  
Dynamic Equilibrium ◽  
Vegetation Coverage ◽  
Soil Conditions ◽  
River Watershed ◽  
Average Value ◽  
Growing Seasons ◽  
The Yongding River ◽  
Yongding River

During ecological restoration, it is necessary to comprehensively consider the state of vegetation in climate–soil–vegetation systems. The theory of ecohydrological optimality assumes that this state tends to reach long-term dynamic equilibrium between the available water supply of the system and the water demand of vegetation, which is driven by the maximization of productivity. This study aimed to understand the factors that affect the spatial distribution of vegetation and simulate the ideal vegetation coverage (M0) that a specific climate and soil can maintain under an equilibrium state. The ecohydrological optimality model was applied based on meteorological, soil, and vegetation data during the 2000–2018 growing seasons, and the sensitivity of the simulated results to input data under distinct vegetation and soil conditions was also considered in the Yongding River watershed, China. The results revealed that the average observed vegetation coverage (M) was affected by precipitation characteristic factors, followed by wind speed and relative humidity. The M, as a whole, exhibited horizontal zonal changes from a spatial perspective, with an average value of 0.502, whereas the average M0 was 0.475. The ecohydrological optimality theory ignores the drought resistance measures evolved by vegetation in high vegetation coverage areas and is applicable to simulate the long-term average vegetation coverage that minimizes water stress and maximizes productivity. The differences between M and M0 increased from the northwest to the southeast of this area, with a maximum value exceeding 0.3. Meteorological factors were the most sensitive factors of this model, and the M0 of the steppe was most sensitive to the stem fraction, mean storm depth, and air temperature. Whether soil factors are sensitive depends on soil texture. Overall, the study of the carrying capacity of vegetation in the natural environment contributes to providing new insights into vegetation restoration and the conservation of water resources.

scholarly journals Spatiotemporal Evolution Trajectory of Channel Morphology and Controlling Factors of Yongding River, Beijing, China

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1489
Author(s):  
Hao Li ◽  
Xiaoming Xu ◽  
Minghao Wu ◽  
Zhicheng Liu
Keyword(s):  
Morphological Evolution ◽  
River Channel ◽  
Controlling Factors ◽  
Protection Measures ◽  
Temporal And Spatial ◽  
Restoration Strategies ◽  
Beijing China ◽  
The Yongding River ◽  
Yongding River ◽  
Evolution Trajectory

It is necessary to understand the evolution of a river channel when reconstructing its evolution process and analyzing the controlling factors essential for river management and ecological restoration. In the past 50 years, the ecological environment around the Yongding River has deteriorated considerably, and the downstream has been completely cut off. Despite this, few have studied its morphology. In this study, we analyze the morphology of the Yongding River (Beijing, China) stretching for 92 km in four different periods between 1964 and 2018. A data treatment is carried out based on GIS, and the morphological evolution trajectory of the river channel at the overall and reach scales is reconstructed. The results show that the river morphology has undergone significant changes: the channel width has narrowed by 31%, and the temporal and spatial patterns show significant differences. By analyzing the impacts of human activities and climate change in various periods, we find human intervention to be the most important controlling factor. Based on our results, we proposed a set of river restoration strategies and protection measures for the Yongding River to guide watershed management and land planning.

scholarly journals Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat

2019 ◽  
Vol 6 (1) ◽  
pp. 52-69 ◽  
Author(s):  
Julian Oeser ◽  
Marco Heurich ◽  
Cornelius Senf ◽  
Dirk Pflugmacher ◽  
Elisa Belotti ◽  
...  
Keyword(s):  
Landsat Imagery ◽  
Large Mammal ◽  
Multi Temporal

scholarly journals Analysis on the Variation of Hydro-Meteorological Variables in the Yongding River Mountain Area Driven by Multiple Factors

2021 ◽  
Vol 13 (16) ◽  
pp. 3199
Author(s):  
Kaijie Niu ◽  
Qingfang Hu ◽  
Yintang Wang ◽  
Hanbo Yang ◽  
Chuan Liang ◽  
...  
Keyword(s):  
Abrupt Change ◽  
Change Points ◽  
Meteorological Variables ◽  
Main Stream ◽  
Mountain Area ◽  
Runoff Series ◽  
Annual Scale ◽  
The Yongding River ◽  
Hydrological Station ◽  
Yongding River

In recent decades, strong human activities have not only brought about climate change including both global warming and shifts in the weather patterns but have also caused anomalous variations of hydrological elements in different basins all around the world. Studying the mechanisms and causes of these hydrological variations scientifically is the basis for the management of water resources and the implementation of ecological protection. Therefore, taking the Yongding River mountain area as a representative watershed in China, the changes of different observed and simulated hydro-meteorological variables and their possible causes are analyzed on an inter-annual scale based on ground based observations and remotely sensed data of hydrology, meteorology and underlying surface characteristics from 1956 to 2016. The results show that the annual natural runoff of Guanting hydrological station in the main stream of the Yongding River, Cetian hydrological station and Xiangshuibao hydrological station in the tributary of the Yongding River all have a significant decreasing trend and abrupt changes, and all the abrupt change points of the annual natural runoff series of the three hydrological stations appear in the early 1980s. On the inter-annual scale, the water balance model with double parameters is unable to effectively simulate the natural surface runoff after the abrupt change points. The annual average precipitation after the abrupt change points decreases by no more than 10%, compared with that before the abrupt change points. However, the precipitation from July to August, which is the main runoff-production period, decreases by more than 25%, besides the intra-annual temporal distribution of precipitation becoming uniform and a significant decrease in effective rainfall, which is the source of the runoff. Meanwhile, the NDVI in the basin show an increasing trend, while the groundwater level and land water storage decrease significantly. These factors do not lead only to the continuous reduction of the annual natural runoff in the Yongding River mountain area from 1956 to 2016, but also result in significant changes of the hydro-meteorological relationship in the basin.

scholarly journals Remote Sensing in Predicting Development Patterns of Built-up Land

2021 ◽  
Vol 2 (2) ◽  
pp. 56-64
Author(s):  
Iqbal Eko Noviandi ◽  
Ramadhan Alvien Hanif ◽  
Hasanah Rahma Nur ◽  
Nandi
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Landsat Imagery ◽  
Temporal Analysis ◽  
West Java ◽  
Development Patterns ◽  
Human Needs ◽  
Multi Temporal ◽  
Total Growth

Indonesia is a developing country whose construction and development are centered on the island of Java, especially in West Java Province. Sukabumi City is one of the areas in West Java. The development of urban areas is expanding due to various human needs to carry out the construction of buildings. Remote sensing that can be used to store developments with multi-temporal analysis with materials is Landsat imagery from 2001 to 2020. The method used is the Normalized Difference Built-up Index (NDBI). The purpose of this study is to map the development of the built-up land from year to year and predict the following years. The results of the research on the significant changes in built-up land occurred between 2013-2020, while from 2001 to 2013 there was not much change. Based on the research results, the total growth of built-up land was 1.539% per year with a population growth rate of 1.4% per year. The results of the analysis show that the area of ​​land built in Sukabumi City in 2028 is 186,7194 km2 or has increased by 21,2808 km2 since 2020.

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