From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data

Martínez, Susana Vázquez; Mollicone, Danilo

doi:10.3390/rs4041024

Cited by 69 publications

(35 citation statements)

References 18 publications

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“…It must be noted that developed land in the statistical data refers to the potential purpose (the function defined by the government) of land use, while developed land in the remote sensing data is identified by the observed physical cover (whether the land is covered by buildings) [43,44]. In China, when a plot of land is transferred by the government, it is labeled as developed land in the statistical data by the government [45].…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the Driving Factors Causing Rapid Urban Expansion in China: An Analysis Based on GlobeLand30 Data

Liao

Dai

Cai

et al. 2017

IJGI

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A large number of studies have dealt with the driven forces of land expansion, in which the remote sensing data and statistical data are most commonly used. The recent progress based on the statistical data have not been fully tested and discussed by the remote sensing data, and the remote sensing data used in the previous studies are usually interpreted within certain areas which is not convenient for global comparison. In this paper, the 30-m GlobalLand Cover Dataset (GlobeLand30) and socioeconomic data from 2000 to 2010 are adopted to investigate the factors driving impervious surface expansion in China based on a multilevel regression model. The GlobeLand30 provides a world-wide data framework which has a sound basis for regional comparison research. The variables are selected according to the existing research. Most, but not all, results are consistent with the previous studies when using impervious surface data of GlobeLand30. The main findings are: (1) the market demand caused by economic development, such as the increase in GDP from 2000 to 2010, plays a positive role in the expansion of developed land; (2) the land supply, as reflected by the ratio of the total of land transfer fees to fiscal revenue, also has a positive effect on the increase in impervious surfaces; (3) the percentage of the increase by private workers to the increase in total workers and certain other frequently-used variables are not relevant after controlling for land demand-and supply-related variables; and (4) the growth in impervious surfaces is related to the amount of the cultivated land, which implies the necessity for a more stringent farmland protection policy. Considering the need to compare across regions, we suggest that GlobeLand30 should be used for more studies to better understand the driving forces of land expansion.

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Section: Literature Reviewmentioning

confidence: 99%

Examining the Driving Factors Causing Rapid Urban Expansion in China: An Analysis Based on GlobeLand30 Data

Liao

Dai

Cai

et al. 2017

IJGI

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“…Land use change influences the global ecological environment and sustainable human development [1][2][3]; thus, it has received attention from an increasing number of researchers worldwide. In-depth studies of land use/cover change (LUCC) have been conducted on various scales and achieved extensive valuable results [4][5][6][7][8][9][10]. These results mainly include findings regarding spatiotemporal changes in land use [11][12][13][14], the relation between land use change and its driving forces [15,16], the simulation of land use change [17][18][19], and the impact of land use change [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Characterizing Spatiotemporal Pattern of Land Use Change and Its Driving Force Based on GIS and Landscape Analysis Techniques in Tianjin during 2000–2015

Liu

2017

Sustainability

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Abstract:The spatial and temporal characteristics and driving factors analysis of regional land use are the core scientific problems in the research of ecological environment and human sustainable development. It is also an important basis for the government to formulate land management policy. Based on the land use maps of 2000, 2005, 2010 and 2015, this article analyzed the spatiotemporal pattern of land use change in Tianjin, and determined the relative importance of each driving factor of land use change. The main features of land use change were the continuous expansion of built-up land (1386.89 km 2 /74.73% gains) and the decrease of arable land area (1181.60 km 2 /16.84% losses). The area and intensity of land use change were not completely consistent, such as Wuqing and Jixian. The hotspots of land use change mainly were located in the main urban region in Tianjin, around the suburban settlements and Binhai New Area. The landscape pattern in the research region has also changed significantly. The Largest patch index (LPI) and largest shape index (LSI) of arable land showed an increasing trend, and the degree of landscape fragmentation of arable land was deepened. The trend of landscape index of built-up land was similar to that of arable land, but the change intensity was more severe. In addition, the article also used the stepwise regression analysis in the multiple regression to analyze the relative importance of various driving factors, indicating that the driving factors of the built-up land and arable land change were obviously different in different periods. Government policies also have a significant impact on land use change, such as establishing the Tianjin Binhai New Area (TBNA).

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“…High spatial resolution RS data were well used to map the CRP land in American and also evaluate the status and success of the program [13]. Following standard analytical techniques to study land-use and land-cover change [14][15][16][17], we use RS and GIS to detect the spatio-temporal characteristics of land transformation: high spatial resolution RS data enables us to obtain valuable multi-temporal data for monitoring patterns and processes of cropland conversion, and GIS makes spatial analysis and mapping of these patterns possible [18]. At the same time, we employed personal interviews with local government officials and farmers to investigate the reasons and motives behind the changes of the land use patterns.…”

mentioning

confidence: 99%

Spatio-Temporal Patterns of Cropland Conversion in Response to the “Grain for Green Project” in China’s Loess Hilly Region of Yanchuan County

Wang

Liu

2013

Remote Sensing

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Abstract:To prevent environmental degradation, China's central government launched the "Grain for Green Project" (GGP) in 1999. Since its beginning, the effects and influences of the GGP have been hotly debated among domestic and international scholars and policymakers. This paper is taking the County of Yanchuan in the Loess Plateau as a case study, examines the spatio-temporal patterns of cropland conversion in response to the GGP. This research is methodologically based on remote sensing (RS) and geographic information systems (GIS), and also employs personal interviews with local government officials and farmers. The results show that land use/cover patterns in Yanchuan County have changed dramatically after the implementation of GGP. Cropland has decreased remarkably, while orchard land and sparse forest has increased significantly: 23.84% of cropland was converted to orchard, and 22.25% to sparse forest. Simultaneously, the landscape has become more fragmented but also more diversified, forestland has become more dominant. A total of 61.19% of the total converted cropland was on slopes greater than 15 degrees, 64.85% of which was lower-grade land. The converted cropland is mostly located in more accessible areas for convenient management. Partially affected by farmers' self-willingness, sloping cropland was preferred to orchard (economic forest), and some gentle slope (less than 15 degrees) or higher-grade cropland were involved in the GGP. To maintain and reinforce the achievements of the GGP and further contribute to the GGP's sustainability and rural development, the paper recommends that the Chinese government should build a continuous compensation mechanism for the households who lost cropland for the GGP while improving the productivity of flat cropland.

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From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data

Cited by 69 publications

References 18 publications

Examining the Driving Factors Causing Rapid Urban Expansion in China: An Analysis Based on GlobeLand30 Data

Examining the Driving Factors Causing Rapid Urban Expansion in China: An Analysis Based on GlobeLand30 Data

Characterizing Spatiotemporal Pattern of Land Use Change and Its Driving Force Based on GIS and Landscape Analysis Techniques in Tianjin during 2000–2015

Spatio-Temporal Patterns of Cropland Conversion in Response to the “Grain for Green Project” in China’s Loess Hilly Region of Yanchuan County

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