Impact of land use and land cover change on environmental degradation in lake Qinghai watershed, northeast Qinghai-Tibet Plateau

2008 ◽  
Vol 20 (1) ◽  
pp. 69-83 ◽  
Author(s):  
X.-Y. Li ◽  
Y.-J. Ma ◽  
H.-Y. Xu ◽  
J.-H. Wang ◽  
D.-S. Zhang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Environmental Degradation ◽  
Tibet Plateau ◽  
Lake Qinghai ◽  
Qinghai Tibet Plateau

scholarly journals LAND USE/LAND COVER CHANGE AND ENVIRONMENTAL EFFECTS IN THE NORTHEASTERN QINGHAI-TIBET PLATEAU FROM 1980 TO 2015

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 945-952
Author(s):  
J. Y. Zhao ◽  
Q. Song ◽  
M. Du ◽  
G. R. Li ◽  
J. Yang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Tibet Plateau ◽  
Grassland Degradation ◽  
Land Use Land Cover ◽  
Change Rate ◽  
Unused Land ◽  
Relative Change ◽  
Qinghai Tibet Plateau

Abstract. The Qinghai-Tibet Plateau ecosystem is sensitive and fragile, the grassland degradation and soil erosion in the plateau are still increasing. In this paper, we conducted a quantitative study to clarify the characteristics of land use/land cover change, the driving factors, and the environmental effects in the plateau. We focused on the northeastern Qinghai-Tibet Plateau as an example, and created land use change matrices and determined the relative change rate, vegetation cover, and environmental quality index using land use data and NDVI3g data from 1980 to 2015. The results show that there were significant differences in land use/land cover change in the study area around 2000, while the farmland did not increase significantly, and the water areas exhibited a decreasing trend initially followed by an increasing trend, the unused land first increased and then decreased, and residential areas increased significantly after 2000. The relative change rate of the grassland was the largest between 1980 and 2015, while most of the grassland was converted into farmland, residential land, and unused land. In addition, grassland degradation increased significantly. Considerable spatial heterogeneity in vegetation and land use/land cover was observed in the study area. The vegetation cover decreased in some areas due to the grassland degradation, however, the others areas showed improvements due to the influences of policies and climate change. The environmental index and ecological service value of the study area declined and the environment deteriorated during the study period.

Analysis of Land Use/Land Cover Change in Yangzhou City Based on CLUE-S Model

2011 ◽  
Vol 13 (5) ◽  
pp. 695-700
Author(s):  
Zhihua TANG ◽  
Xianlong ZHU ◽  
Cheng LI
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
S Model

Driving forces of land use and land cover change (LUCC) in the Zoige Wetland, Qinghai-Tibetan Plateau

2012 ◽  
Vol 4 (5) ◽  
pp. 422 ◽  
Author(s):  
Hu Guang-Yin ◽  
Dong Zhi-Bao ◽  
Lu Jun-Feng ◽  
Yan Chang-Zhen
Keyword(s):  
Land Use ◽  
Tibetan Plateau ◽  
Land Cover ◽  
Land Cover Change ◽  
Driving Forces ◽  
Zoige Wetland

scholarly journals An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study

2021 ◽  
Vol 10 (5) ◽  
pp. 325
Author(s):  
Ima Ituen ◽  
Baoxin Hu
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Basic Unit ◽  
Operational Method ◽  
Northern Ontario ◽  
Modis Data ◽  
Forest Fire Management ◽  
Land Cover Change Detection

Mapping and understanding the differences in land cover and land use over time is an essential component of decision-making in sectors such as resource management, urban planning, and forest fire management, as well as in tracking of the impacts of climate change. Existing methods sometimes pose a barrier to the effective monitoring of changes in land cover and land use, since a threshold parameter is often needed and determined based on trial and error. This study aimed to develop an automatic and operational method for change detection on a large scale from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Super pixels were the basic unit of analysis instead of traditional individual pixels. T2 tests based on the feature vectors of temporal Normalized Difference Vegetation Index (NDVI) and land surface temperature were used for change detection. The developed method was applied to data over a predominantly vegetated area in northern Ontario, Canada spanning 120,000 sq. km from 2001–2016. The accuracies ranged between 78% and 88% for the NDVI-based test, from 74% to 86% for the LST-based test, and from 70% to 86% for the joint method compared with manual interpretation. Our proposed method for detecting land cover change provides a functional and viable alternative to existing methods of land cover change detection as it is reliable, repeatable, and free from uncertainty in establishing a threshold for change.

scholarly journals Land use land cover change in Kashmir Himalaya: Linking remote sensing with an indicator based DPSIR approach

2021 ◽  
Vol 125 ◽  
pp. 107447 ◽  
Author(s):  
Rehana Rasool ◽  
Abida Fayaz ◽  
Mifta ul Shafiq ◽  
Harmeet Singh ◽  
Pervez Ahmed
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
Kashmir Himalaya ◽  
Dpsir Approach

Hydrological regime, water availability and land use/land cover change impact on the water balance in a large agriculture basin in the Southern Brazilian Amazon

2021 ◽  
Vol 108 ◽  
pp. 103224
Author(s):  
Tárcio Rocha Lopes ◽  
Cornélio Alberto Zolin ◽  
Rafael Mingoti ◽  
Laurimar Gonçalves Vendrusculo ◽  
Frederico Terra de Almeida ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Water Balance ◽  
Land Cover Change ◽  
Water Availability ◽  
Hydrological Regime ◽  
Brazilian Amazon ◽  
Land Use Land Cover ◽  
Change Impact
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