Assessment of Land Suitability Potentials for Selecting Winter Wheat Cultivation Areas in Beijing, China, Using RS and GIS

Wang, Da-cheng; Li, Cunjun; Song, Xiaoyu; Wang, Jihua; Yang, Xiaodong; Huang, Wenjiang; Wang, Junying; Zhou, Ji-hong

doi:10.1016/s1671-2927(11)60135-1

Cited by 30 publications

(21 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For a comparison of two methods, to reclassify the analyzed data using the linear combination technique, an equal-interval data classification method was used to reclassify the detection performance into 4 grades: suitable site, possibly suitable site, probably unsuitable site, and unsuitable site. The cultivation sites are typically reclassified into 3 (Kim and Lee 2006 ; Lee et al 2007 ) or 4 (Jung et al 2004 ; Kim et al 2011a , 2012a ; Li et al 2012 ), or rarely, 5 (Wang et al 2011 ) grades. This study categorized the analyzed cultivation sites into 4 grades, which is a commonly used reclassification method and consistent with the previous study that searched for suitable cultivation sites of CMG (Beon et al 2013 ).…”

Section: Methodsmentioning

confidence: 99%

“…Interestingly, only a few studies have examined temperature conditions, one of the most important factors for crop cultivation. Some studies have dealt with temperature for apple, garlic, winter wheat, and tea crops (Kwon et al 2004 ; Kim et al 2009 , 2011b , 2012b ; Wang et al 2011 ; Li et al 2012 ), but not for identifying suitable sites for CMG cultivation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of suitable sites for mountain ginseng cultivation using GIS and geo-temperature

Kang

Choi

Kim³

2016

SpringerPlus

View full text Add to dashboard Cite

This study was conducted to explore an accurate site identification technique using a geographic information system (GIS) and geo-temperature (gT) for locating suitable sites for growing cultivated mountain ginseng (CMG; Panax ginseng), which is highly sensitive to the environmental conditions in which it grows. The study site was Jinan-gun, South Korea. The spatial resolution for geographic data was set at 10 m × 10 m, and the temperatures for various climatic factors influencing CMG growth were calculated by averaging the 3-year temperatures obtained from the automatic weather stations of the Korea Meteorological Administration. Identification of suitable sites for CMG cultivation was undertaken using both a conventional method and a new method, in which the gT was added as one of the most important factors for crop cultivation. The results yielded by the 2 methods were then compared. When the gT was added as an additional factor (new method), the proportion of suitable sites identified decreased by 0.4 % compared with the conventional method. However, the proportion matching real CMG cultivation sites increased by 3.5 %. Moreover, only 68.2 % corresponded with suitable sites identified using the conventional factors; i.e., 31.8 % were newly detected suitable sites. The accuracy of GIS-based identification of suitable CMG cultivation sites improved by applying the temperature factor (i.e., gT) in addition to the conventionally used factors.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of suitable sites for mountain ginseng cultivation using GIS and geo-temperature

Kang

Choi

Kim³

2016

SpringerPlus

View full text Add to dashboard Cite

show abstract

“…Due to the growth of the city and its outward expansion into the surrounding rural areas, the city of Beijing has received a lot of attention from researchers in recent years [24]. The study area itself included all of the urban, much of the suburban, and parts of the rural districts of Beijing.…”

Section: Study Areamentioning

confidence: 99%

A Content-Based Remote Sensing Image Change Information Retrieval Model

Xia

et al. 2017

IJGI

View full text Add to dashboard Cite

Abstract:With the rapid development of satellite remote sensing technology, the size of image datasets in many application areas is growing exponentially and the demand for Land-Cover and Land-Use change remote sensing data is growing rapidly. It is thus becoming hard to efficiently and intelligently retrieve the change information that users need from massive image databases. In this paper, content-based image retrieval is successfully applied to change detection, and a content-based remote sensing image change information retrieval model is introduced. First, the construction of a new model framework for change information retrieval from a remote sensing database is described. Then, as the target content cannot be expressed by one kind of feature alone, a multiple-feature, integrated retrieval model is proposed. Thirdly, an experimental prototype system that was set up to demonstrate the validity and practicability of the model is described. The proposed model is a new method of acquiring change detection information from remote sensing imagery and so can reduce the need for image pre-processing and also deal with problems related to seasonal changes, as well as other problems encountered in the field of change detection. Meanwhile, the new model has important implications for improving remote sensing image management and autonomous information retrieval. The experiment results obtained using a Landsat data set show that the use of the new model can produce promising results. A coverage rate and mean average precision of 71% and 89%, respectively, were achieved for the top 20 returned pairs of images.

show abstract

“…Since the 1970s, Geographical Information Technology has promoted the development of land suitability evaluation [8,9,[14][15][16][17][18][19]. With advances in data collection and processing technology, land suitability evaluation has been gradually applied in various fields, such as crop suitability evaluation [20][21][22][23][24], landscape planning [25,26], waste management planning [27][28][29], environmental impact evaluation [30], land restoration [31], and urban sustainable development [32][33][34]. While few studies have considered the impact of policy orientation or development pattern on suitability evaluation, more attempts need to be made to evaluate land suitability in different scenarios.…”

Section: Introductionmentioning

confidence: 99%

Land Development Suitability Evaluation of Pingtan Island Based on Scenario Analysis and Landscape Ecological Quality Evaluation

Huang

Wang

et al. 2017

Sustainability

View full text Add to dashboard Cite

With the acceleration of urbanization and industrialization, regional development is becoming increasingly disordered. Thus, how to balance economic development and ecological protection is a key question. To comprehensively evaluate land development suitability, an evaluation index system for construction land and farmland suitability was established in this study based on natural and social-economic information. After selecting an island in China as the main case study in this work, the reference method was applied in grading and value assigning for all indices. In addition, the analytic hierarchy process and expert evaluation method were used to determine the index weighting. After scenario analysis was adopted in the study to analyze the impact of the policy orientation on the suitability evaluation, we finally evaluated the landscape ecological quality of different scenarios. Results showed the landscape ecological quality of a coordinated development scenario was the highest. The results indicated that coordinated development which takes the ecological protection and urban development into account may be a better choice for land planning.

show abstract

Assessment of Land Suitability Potentials for Selecting Winter Wheat Cultivation Areas in Beijing, China, Using RS and GIS

Cited by 30 publications

References 9 publications

Identification of suitable sites for mountain ginseng cultivation using GIS and geo-temperature

Identification of suitable sites for mountain ginseng cultivation using GIS and geo-temperature

A Content-Based Remote Sensing Image Change Information Retrieval Model

Land Development Suitability Evaluation of Pingtan Island Based on Scenario Analysis and Landscape Ecological Quality Evaluation

Contact Info

Product

Resources

About