Dynamic Changes Analysis and Hotspots Detection of Land Use in the Central Core Functional Area of Jing‐Jin‐Ji from 2000 to 2015 Based on Remote Sensing Data

Li, Yafei; Liu, Gaohuan; Huang, Chong

doi:10.1155/2017/2183585

Cited by 26 publications

(19 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The single dynamic degree of land use change (SDDLUC) describes the changing degree rate of a specific land use type of the area. SDDLUC can be described in the following equation [17]:…”

Section: Methodsmentioning

confidence: 99%

Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach

et al. 2018

View full text Add to dashboard Cite

In this work, we present a processing chain for landscape pattern and ecological security status assessment and prediction based on cellular automata Markov (CA-Markov) and pressure status response pattern (PSRP) models using remotely sensed data (RSD) captured in 1986, 1996, 2006, 2016, and RSD simulated in 2026 over Zhengzhou city, Henan province, China. Three major findings can be withdrawn through the experiments. First, there is a significant changing of landscape type area, especially for building land. The area of building land is up to more than 5%, from 1986 to 2016. Secondly, the heterogeneity of landscape is increasing, and the diversity of landscape is becoming more and more diversifying and complex. Third, the changing trend of ecological security of Zhengzhou city shaped as decreasing and increasing gradually during the last 40 years. While the ecological security status, nowadays, appeared to a good trend by contrast of the previous stages. The predicted results with CAMarkov model show that the level of ecological security is still in moderate and has a trend of moving toward to the center in 2026.

show abstract

“…The single dynamic degree of land use change (SDDLUC) describes the changing degree rate of a specific land use type of the area. SDDLUC can be described in the following equation [17]:…”

Section: Methodsmentioning

confidence: 99%

Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The change intensity of land cover can be also quantified by the two indices, such as single and integrated dynamic index of land cover [37,38]. The single dynamic index of land cover describes the change speed of regional land cover.…”

Section: Land Cover Transition Analysismentioning

confidence: 99%

“…The single dynamic index of land cover describes the change speed of regional land cover. The single dynamic index, K, is defined as [37].…”

Section: Land Cover Transition Analysismentioning

confidence: 99%

Spatiotemporal Analysis of Land Cover Changes in the Chemoga Basin, Ethiopia, Using Landsat and Google Earth Images

Damtea

Kim

2020

Sustainability

View full text Add to dashboard Cite

Land cover change is a major environmental concern in the northwestern highlands of Ethiopia. This study detected land cover transitions over the past 30 years in the Chemoga basin (total area = 118,359 ha). Land cover maps were generated via the supervised classification of Landsat images with the help of the Google Earth (GE) images. A total of 218 unchanged land features sampled from GE images were used as the training datasets. Classification accuracy was evaluated by comparing classified images with 165 field observations during the 2017 field visit. The overall accuracy was 85.4% and the kappa statistic was 0.81, implying that the land classification was satisfactory. Agricultural land is the dominant land cover in the study basin, and increased in extent by 2,337 ha from 1987 to 2017. The second and third most dominant land cover types, grassland and woodland, decreased by 1.9% and 3.6%, respectively, over the past 30 years. The increase in agricultural lands was mostly due to the conversion of grasslands and woodlands, although some agricultural lands changed to Eucalyptus plantations and human settlements. The results revealed that the expansion of built-up space and agricultural lands was the major driver of fragmentation of the landscape, and degradation of natural resources in the Chemoga basin, Ethiopia.

show abstract

“…Because the type of “others” in TRMM contributes only a tiny part of total precipitation, thus it usually only considers the convective and stratiform rain types. The land‐use data set is provided by the Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (http://www.resdc.cn) in 1980, 1990, 2000, 2005, 2010, and 2015, respectively, with a horizontal resolution of 1 km.This land‐use data, with the accuracy over 90% (Li et al, 2017), is based on the International Geosphere‐Biosphere Programme land cover classification scheme and validated by high‐resolution satellite imagery (Landsat TM). Finally, Version 4 of the global Defense Meteorological Satellite Program/Operational Linescan System nighttime lights time series during 1992–2013, with a spatial resolution of 30 arcseconds, is downloaded from https://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html.…”

Section: Data and Modelmentioning

confidence: 99%

Urbanization in an Underdeveloped City—Nanning, China and its Impact on a Heavy Rainfall Event in July

Xiao

Wang

Ming-ce

et al. 2020

Earth and Space Science

View full text Add to dashboard Cite

A rapid urbanization process is undergoing in China, exerting significant impacts on local weather and climate. However, rare study pays attention to the underdeveloped regions. An underdeveloped city of Nanning, in southwestern China, is experiencing considerable urbanization. The present urban area of Nanning is 2.8 times larger than that in 1980. Using the Weather Research and Forecasting model coupled with an urban canopy model, two experiments with different urban land use are designed to investigate impacts of Nanning urbanization on a rainstorm occurred in July 2009. Results show simulated precipitation can be significantly improved by the experiment with urbanization effects included. Urbanization leads to a warmer and drier surface, which is favored for the formation of near-surface low pressure and wind convergence over the city. But the warm-dry air near urban surface cannot lead to deep convective activity, resulting in urban-enhanced precipitation is dominated by the large-scale precipitation. Such enhanced large-scale precipitation has a positive contribution to atmospheric latent heat release, inducing a heating source in middle troposphere over the urban area. Then the cyclonic circulation around Nanning is intensified according to thermal adaption theory. The enhanced cyclonic circulation is beneficial for stronger moisture convergence and warm-moist southwesterly flow transports into Guangxi from tropical oceans. Vertical motion is amplified by the coastal orographic uplift effect, and wind convergence over the Nanning downstream is also enhanced. Therefore, the convective precipitation dominantly enhances over the coastal and city's downstream regions, which is different from the urban-increased large-scale precipitation in the Nanning City area.

show abstract

Dynamic Changes Analysis and Hotspots Detection of Land Use in the Central Core Functional Area of Jing‐Jin‐Ji from 2000 to 2015 Based on Remote Sensing Data

Cited by 26 publications

References 36 publications

Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach

Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach

Spatiotemporal Analysis of Land Cover Changes in the Chemoga Basin, Ethiopia, Using Landsat and Google Earth Images

Urbanization in an Underdeveloped City—Nanning, China and its Impact on a Heavy Rainfall Event in July

Contact Info

Product

Resources

About