Jiazhu Zheng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jiazhu Zheng has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Haohan Wei
College of Civil Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China, 210037
1 shared publication - Jiaming Na
College of Civil Engineering, Nanjing Forestry University, Nanjing, China
1 shared publication - Jie Zhu
College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
1 shared publication - Mengyao Zhu
College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
1 shared publication - Shu Wang
State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences, Beijing 100101, China
1 shared publication Xiaoyun Shi
College of Civil Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China, 210037
1 shared publication
Latest Publications
- Open Access
- 4 October 2023
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 12 (10) , 408
Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA’s Black Marble
Night-time light data (NTL) have been extensively utilized to map urban fringe areas, but to date, there has not been a comprehensive evaluation of the existing spatial clustering methods for delineating the urban fringe using different types of night-time light data. Therefore, we first selected three popular sources of night-time light data (i.e., NPP/VIIRS, Luojia 1-01, and NASA’s Black Marble) to identify the urban fringe. The recognition of spatial mutations across the urban–rural gradient was conducted based on changes in night light intensity using a spatial continuous wavelet transform model. Then, we employed three representative dual spatial clustering approaches (i.e., MK-Means, DBSC, and DSC) for extracting urban fringe areas using different NTL. By using dual spatial clustering, the spatial patterns of the mutation points were effectively transformed into homogeneous spatially adjacent clusters, enabling the measurement of similarity between mutation points. Taking Nanjing city, one of China’s megacities, as the study area, we found that (1) Compared with the fragmented and concentrated results obtained from the Luojia 1-01, NASA’s Black Marble and NPP/VIIRS data can effectively capture the abrupt change of urban fringes with NTL variations; (2) DSC provided a reliable approach for accurately extracting urban fringe areas using NASA’s Black Marble data.
- 4 October 2023
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 12 (10) , 408
Open AccessUsing Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA’s Black Marble
Night-time light data (NTL) have been extensively utilized to map urban fringe areas, but to date, there has not been a comprehensive evaluation of the existing spatial clustering methods for delineating the urban fringe using different types of night-time light data. Therefore, we first selected three popular sources of night-time light data (i.e., NPP/VIIRS, Luojia 1-01, and NASA’s Black Marble) to identify the urban fringe. The recognition of spatial mutations across the urban–rural gradient was conducted based on changes in night light intensity using a spatial continuous wavelet transform model. Then, we employed three representative dual spatial clustering approaches (i.e., MK-Means, DBSC, and DSC) for extracting urban fringe areas using different NTL. By using dual spatial clustering, the spatial patterns of the mutation points were effectively transformed into homogeneous spatially adjacent clusters, enabling the measurement of similarity between mutation points. Taking Nanjing city, one of China’s megacities, as the study area, we found that (1) Compared with the fragmented and concentrated results obtained from the Luojia 1-01, NASA’s Black Marble and NPP/VIIRS data can effectively capture the abrupt change of urban fringes with NTL variations; (2) DSC provided a reliable approach for accurately extracting urban fringe areas using NASA’s Black Marble data.
- 9 September 2010
- Published by American Society of Civil Engineers (ASCE)
- p. 1750-1755
Construction of Agricultural Logistics Operation Mode Based on WBS
Agriculture Logistics has the characteristics of small scale, flow large and weak service. The paper emphasizes that the choice of the logistic mode of agriculture to improve agricultural competitiveness and increasing peasant income highlighting the logistics in the role of the three agricultural problem-solving is especially important. This article applies WBS (work breakdown structure) decomposition method for the construction of the agriculture logistics mode. WBS (work breakdown structure) decomposition method means to break the project down into separate projects, mutual influence and interrelated multi-level cell according to system theory and requirements. This paper constructs a long-lasting, highly efficient mode of agricultural logistics operation based on WBS, which relies on third-party logistics by means of resource Integration.
- 9 September 2010
- Published by American Society of Civil Engineers (ASCE)
- p. 1750-1755
Construction of Agricultural Logistics Operation Mode Based on WBS
Agriculture Logistics has the characteristics of small scale, flow large and weak service. The paper emphasizes that the choice of the logistic mode of agriculture to improve agricultural competitiveness and increasing peasant income highlighting the logistics in the role of the three agricultural problem-solving is especially important. This article applies WBS (work breakdown structure) decomposition method for the construction of the agriculture logistics mode. WBS (work breakdown structure) decomposition method means to break the project down into separate projects, mutual influence and interrelated multi-level cell according to system theory and requirements. This paper constructs a long-lasting, highly efficient mode of agricultural logistics operation based on WBS, which relies on third-party logistics by means of resource Integration.