scholarly journals A Detailed and High-Resolution Land Use and Land Cover Change Analysis over the Past 16 Years in the Horqin Sandy Land, Inner Mongolia

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Xiulian Bai ◽  
Ram C. Sharma ◽  
Ryutaro Tateishi ◽  
Akihiko Kondoh ◽  
Bayaer Wuliangha ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Inner Mongolia ◽  
Secondary Level ◽  
Horqin Sandy Land ◽  
Sandy Land ◽  
Change Analysis ◽  
Lulc Change ◽  
The Past

Land use and land cover (LULC) change plays a key role in the process of land degradation and desertification in the Horqin Sandy Land, Inner Mongolia. This research presents a detailed and high-resolution (30 m) LULC change analysis over the past 16 years in Ongniud Banner, western part of the Horqin Sandy Land. The LULC classification was performed by combining multiple features calculated from the Landsat Archive products using the Support Vector Machine (SVM) based supervised classification approach. LULC maps with 17 secondary classes were produced for the year of 2000, 2009, and 2015 in the study area. The results showed that the multifeatures combination approach is crucial for improving the accuracy of the secondary-level LULC classification. The LULC change analyses over three different periods, 2000–2009, 2009–2015, and 2000–2015, identified significant changes as well as different trends of the secondary-level LULC in study area. Over the past 16 years, irrigated farming lands and salinized areas were expanded, whereas the waterbodies and sandy lands decreased. This implies increasing demand of water and indicates that the conservation of water resources is crucial for protecting the sensitive ecological zones in the Horqin Sandy Land.

The Land Use and Land Cover Change Analysis of Wuliangsu Lake

2014 ◽  
Vol 955-959 ◽  
pp. 3730-3734
Author(s):  
Lei Ding ◽  
Dong Wei Liu ◽  
Li Xin Wang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Development ◽  
Land Use Changes ◽  
Residential Area ◽  
Sandy Land ◽  
Change Analysis ◽  
Second Stage ◽  
Two Stages

This paper analyzes the land use and land cover change (LUCC) of Wuliangsu Lake by interpreting Landsat5 TM images of 1987, 2000 and 2010. In the first stage (1987-2000), the area of mobile sandy land increased significantly, which signed that the environment of Wuliangsu Lake got worse. On the contrary, in the second stage (2000-2010), over 50% of mobile sandy land transformed into fixed sandy land. In addition, grassland gained a large percent from fixed sandy land and swamp. All of these changes signed that the environment of Wuliangsu Lake got better. In the two stages, the area of residential area and farmland increased obviously, large amount of grassland, swamp and fixed sandy land were converted into farmland, so we can predict that the main reason for land use changes in Wuliangsu Lake is agricultural development.

scholarly journals Remote Sensing and GIS Application for Land use/ Land cover Change Analysis: Case Study of Jarmet Wet-Land and its Surrounding Environments in Western Ethiopia

2019 ◽  
Author(s):  
Amanuel Kumsa ◽  
Professor Sileshi Nemomissa ◽  
Asmamaw (PhD) Legas ◽  
Dessalegn Gurmessa
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Environmental Change ◽  
Land Cover Change ◽  
Natural Resource ◽  
Accuracy Assessment ◽  
Land Use Land Cover ◽  
Change Analysis ◽  
Lulc Change

Wetlands are one of the crucial natural resources. They provide invaluable biodiversity resources, aid in water quality improvement, support ground water recharge, help in moderating climate change and support flood control. Environment is in the other hand, where we live and something, we are very familiar with our day to day life. Geographic Information Systems (GIS), Remote Sensing and Global Positioning System (GPS) were a useful tool for wetland and environmental change analysis and to improve on the classification accuracy. This study investigates population and environmental change of Jarmet wetland and its surrounding area change analysis over the period of 1972 to 2015. The purpose of this study was to show land use/ land cover change of Jarmet wetland and its surrounding environment over years as a response to population growth. For this purpose, multi-temporal satellite imageries (Landsat MSS 1972, TM1986, ETM+ 2000, 2005 and 2015 and SRTM 2000) were obtained and used for LULC change analysis, elevation analysis and change detection analysis. ERDAS Imagine 2015, ARC GIS 10.5.1, Global Mapper11, ENVI 5.0 and DNR Garmin softwares were used to process the image data and accuracy assessment analysis. The result of LULC showed that there is spatial reduction in wetland, forest, Shrubland and grassland in the period of 43 years (1972-2015) by -1,722.8 ha, -296.2 ha, -1,718.7 ha and -661.9 ha respectively, due to increase in the farmland and plantation area as a response to overpopulation, lack of environmental policy implementation and irresponsible for natural resource degradation. The accuracy assessment of LULC change are done for recent satellite image showed the overall accuracy of 84.06% with Kappa index 75.19% this means this classification is accurately classified and handle greater than 75% of error. Finally, this study suggests that create strictly natural resource conservation law, stopping illegal expansion of farmland, educating society about the value of natural resource especially wetland and create a source of income for society rather than farming.

scholarly journals Assessment of Land Use And Land Cover Change Detection And Prediction Using Remote Sensing And CA Markov In The Northern Coastal Districts of Tamil Nadu, India

2021 ◽  
Author(s):  
Devanantham abijith ◽  
Subbarayan Saravanan
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Environmental Sustainability ◽  
Tamil Nadu ◽  
Google Earth ◽  
Geographical Information ◽  
Change Analysis ◽  
Lulc Change ◽  
Study Region ◽  
Barren Land

Abstract Land use and land cover (LULC) change analysis and forecasting aids the upcoming generation in research and evaluate the global climate change for managing and controlling environmental sustainability. This research analyzes the Northern TN coast, which is under both natural and anthropogenic stress. The analysis of LULC changes and LULC projections for the region between 2009-2019 and 2019-2030 was performed utilizing Google Earth Engine (GEE), TerrSet, and Geographical Information System (GIS) tools. LULC image is generated from Landsat images and classified in GEE using Random Forest (RF). LULC maps were then framed with the CA- Markov model to forecast future LULC change. The CA-Markov’s Land change modeler (LCM) was set up to create future LULC. It was carried out in four steps: (1) Change analysis, (2) Transition potential, (3) Change prediction, and (4) Model validation. For analyzing change statistics, the study region is divided into zone 1 and zone 2. In both zones, the water body shows a decreasing trend, and built-up areas are in increasing trend. Barren land and vegetation classes are under stress and developing into built-up. The overall accuracy was above 89%, and the kappa coefficient was above 87% for all three years. This region is highly susceptible to inland floods, coastal floods, and other natural disasters; thus, this study’s results support future development plans and decision-making.

Land Cover Classification and Change Analysis in the Horqin Sandy Land From 1975 to 2007

2010 ◽  
Vol 3 (2) ◽  
pp. 168-177 ◽  
Author(s):  
Hasi Bagan ◽  
Wataru Takeuchi ◽  
Tsuguki Kinoshita ◽  
Yuhai Bao ◽  
Yoshiki Yamagata
Keyword(s):  
Land Cover ◽  
Land Cover Classification ◽  
Horqin Sandy Land ◽  
Sandy Land ◽  
Change Analysis
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