Land resources survey by remote sensing and analysis of land carrying capacity for population in Tumen river region

Zhang, Yangzhen; Chang, Liping; Zhang, Bai; Zhang, Shuwen; Huang, Tieqing; Liu, Yaqin

doi:10.1007/s11769-996-0055-9

Cited by 3 publications

(2 citation statements)

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“…Advanced Building Materials Geomorphological spatial analysis. After validating the optimally statistical window of the geomorphic morphology is to study the land surface development status in macro and to understand its development regularity more deeply (Zhang 2006). After using this local window, then, to calculate the Maximum elevation value(Fig.…”

Section: Resultsmentioning

confidence: 99%

Study on Geomorphologic Spatial Information Mining and Application

Liang

Xing

et al. 2011

AMR

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Digital Elevation Models (DEM) implies numbers of geomorphologic spatial information. It not only includes the three-dimensional coordinate but also has unique texture information, which can describe the ‘true’ land surface adequately at relation of neighbors (plan) and relative (amplitude). We will use a method to study the wavelength characters by data mining and distribution of slope and local relief on the altitude steps through a local window. The Shuttle Radar Topography Mission (SRTM) collect detailed Digital Elevation Models(DEM) data between 60°N and 57°S, 80 percent for all land masses, and it provides reliable, high precision surface elevation data for us, suits to analyze efficiently landscape pattern. SRTM-DEM data simulate three-dimensional land surface with regular gridded matrix, and these discrete points are fit for spatial neighbors’ analysis and statistics, and convenient to geomorphologic pattern computation and analysis in digital computer. Geomorphologic pattern is influenced by Physical properties and human activities in a most direct way, but whilst it record numbers of geological evolution evidence, and these records provide some important information for climate change, geological and geographical processes and ecological environment researches in science. In this study, making the whole Jilin province as study object, we propose a fourth-order equation to approximate land as a continuous curved surface, association neighbors’ analysis method, utilize digital elevation matrix to validate an optimal statistic window, and subsequent study the area spatial distribution by parameterization and classification, get a satisfactory effect.

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Section: Resultsmentioning

confidence: 99%

Study on Geomorphologic Spatial Information Mining and Application

Liang

Xing

et al. 2011

AMR

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“…The weights of the indicators were mainly constructed using only objective weighting methods, and short of the evaluator's professional experience and subjective judgment, the methods of system dynamic, ecological footprint, projection pursuit, pair analysis, variables fuzzy assessment method began been used in the research [1,[7][8][9][10][11][12][13][14][15]. In this period, the research on land's population or livestock carrying capacity, water resources carrying capacity, and ecological carrying capacity were also carried out [14,[16][17][18][19], however the aims of and index used by these studies were different from the evaluation of comprehensive land carrying capacity. The comprehensive land carrying capacity is the threshold of human activities that the ecological-economic-social system formed mainly by land can bear at a particular state, or limiting factors of land reached their maximum value or minimum value.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Land Carrying Capacities of the Cities in the Shandong Peninsula Blue Economic Zone and their Spatio-Temporal Variations

Cui

Zhang

et al. 2019

Sustainability

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The comprehensive land carrying capacities of seven cities in the Shandong Peninsula Blue Economic Zone between 2007–2014 were assessed using a multi-criterion comprehensive evaluation approach and an index of 27 indicators, and cluster analysis was conducted to identify the spatial-temporal variations of the cities’ comprehensive land carrying capacities. The results showed that the carrying capacity of the water and soil resources of the cities had declined except Dongying City; in contrast, the carrying capacities of the eco-environment, the social resources and the economy and technology of the seven cities had all arisen. The carrying capacities of social resources of Dongying and Weihai were markedly higher than the other five cities. The carrying capacities of economy and technology of Qingdao and Dongying were high, the capacities of Weihai and Yantai were moderate, and the capacities of Weifang, Rizhao, and Binzhou were low. In general, the comprehensive land carrying capacities of the eastern cities were higher than those of the western cities, which was similar to the spatial pattern of the economy development of those cities. In addition, positive correlations were identified between the comprehensive land carrying capacity and the per capita land for construction, areal proportion of wetland to total land, percentage of green space to build up area, per capita public green space, comprehensive utilization rate of industrial solid waste residues, urbanization rate, area of per capita urban road, per capita GDP, economy density, fixed-assets investment per area, etc. However negative correlations were discovered between the comprehensive land carrying capacity and the discharge of industrial waste water per 10,000 Yuan RMB GDP, as well as the proportion of added value of the primary industry to total GDP. Finally, we discussed measures to improve the comprehensive land carrying capacities of the cities, such as elevating the intensive land utilization and economic development, decreasing the proportion of added value of the primary industry to total GDP, promoting energy saving and emission reduction, etc.

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