This page has only limited features, please log in for full access.

Dr. Jianfeng Zhu
Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences

Basic Info


Research Keywords & Expertise

0 GIS applications
0 Human Geography
0 Remote Sensing Applications
0 Archaeological heritage
0 Gis Models

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 16 January 2021 in Sustainability
Reads 0
Downloads 0

The Kenya Great Rift Valley (KGRV) region unique landscape comprises of mountainous terrain, large valley-floor lakes, and agricultural lands bordered by extensive Arid and Semi-Arid Lands (ASALs). The East Africa (EA) region has received high amounts of rainfall in the recent past as evidenced by the rising lake levels in the GRV lakes. In Kenya, few studies have quantified soil loss at national scales and erosion rates information on these GRV lakes’ regional basins within the ASALs is lacking. This study used the Revised Universal Soil Loss Equation (RUSLE) model to estimate soil erosion rates between 1990 and 2015 in the Great Rift Valley region of Kenya which is approximately 84.5% ASAL. The mean erosion rates for both periods was estimated to be tolerable (6.26 t ha−1 yr−1 and 7.14 t ha−1 yr−1 in 1990 and 2015 respectively) resulting in total soil loss of 116 Mt yr−1 and 132 Mt yr−1 in 1990 and 2015 respectively. Approximately 83% and 81% of the erosive lands in KGRV fell under the low risk category (−1 yr−1) in 1990 and 2015 respectively while about 10% were classified under the top three conservation priority levels in 2015. Lake Nakuru basin had the highest erosion rate net change (4.19 t ha−1 yr−1) among the GRV lake basins with Lake Bogoria-Baringo recording annual soil loss rates >10 t ha−1 yr−1 in both years. The mountainous central parts of the KGRV with Andosol/Nitisols soils and high rainfall experienced a large change of land uses to croplands thus had highest soil loss net change (4.34 t ha−1 yr−1). In both years, forests recorded the lowest annual soil loss rates (−1 yr−1) while most of the ASAL districts presented erosion rates (−1 yr−1). Only 34% of all the protected areas were found to have erosion rates −1 yr−1 highlighting the need for effective anti-erosive measures.

ACS Style

George Watene; Lijun Yu; Yueping Nie; Jianfeng Zhu; Thomas Ngigi; Jean De Dieu Nambajimana; Benson Kenduiywo. Water Erosion Risk Assessment in the Kenya Great Rift Valley Region. Sustainability 2021, 13, 844 .

AMA Style

George Watene, Lijun Yu, Yueping Nie, Jianfeng Zhu, Thomas Ngigi, Jean De Dieu Nambajimana, Benson Kenduiywo. Water Erosion Risk Assessment in the Kenya Great Rift Valley Region. Sustainability. 2021; 13 (2):844.

Chicago/Turabian Style

George Watene; Lijun Yu; Yueping Nie; Jianfeng Zhu; Thomas Ngigi; Jean De Dieu Nambajimana; Benson Kenduiywo. 2021. "Water Erosion Risk Assessment in the Kenya Great Rift Valley Region." Sustainability 13, no. 2: 844.

Journal article
Published: 31 December 2019 in Sustainability
Reads 0
Downloads 0

Archaeological sites are facing serious threats from environmental changes in the background of urban sprawl. More efforts are needed to enhance the cognition of human–environment interactions for better conservation. Under the traditional geomantic view, the environmental preference involved was presented to guide ancient life. In this study, we analyzed the edge effect and network structure of two periods in an ecological transition zone where the ancient sites were located. From the cases of Gouzhang and Yinxian, the separability of edge intensity indicated the different site selection patterns because of the discrepancy of patch fragmentation and ecological structure. Additionally, the different trends of the edge effect were thought to be related to the complexity of the ecological network. Besides that, the ancient cities located in or around the high-centrality terrain in the network of closed space could have provided the convenience of accessing living materials from early ecosystems. In practice, the comprehensive methods based on geomantic and ecological analysis proved effective when used to explore possible areas of the undiscovered archaeological sites. What is more important is that traditional environmental perceptions could be integrated into a scientific system of the ecological landscape and contribute more to archaeological research and the study of ancient culture.

ACS Style

Jianfeng Zhu; Lijun Yu; Yueping Nie; Fang Liu; Yu Sun; Yuanzhi Zhang; Wenping Song. Ancient Environmental Preference and the Site Selection Pattern Based on the Edge Effect and Network Structure in An Ecosystem. Sustainability 2019, 12, 328 .

AMA Style

Jianfeng Zhu, Lijun Yu, Yueping Nie, Fang Liu, Yu Sun, Yuanzhi Zhang, Wenping Song. Ancient Environmental Preference and the Site Selection Pattern Based on the Edge Effect and Network Structure in An Ecosystem. Sustainability. 2019; 12 (1):328.

Chicago/Turabian Style

Jianfeng Zhu; Lijun Yu; Yueping Nie; Fang Liu; Yu Sun; Yuanzhi Zhang; Wenping Song. 2019. "Ancient Environmental Preference and the Site Selection Pattern Based on the Edge Effect and Network Structure in An Ecosystem." Sustainability 12, no. 1: 328.

Journal article
Published: 13 August 2017 in ISPRS International Journal of Geo-Information
Reads 0
Downloads 0

The Silk Road opened during the Han Dynasty, and is significant in global cultural communication. Along this route in the central part of Xinjiang, the archaeological sites with defensive characteristics once provided a safeguard for this area. Reconstructing the defensive system is an important way to explore the ancient culture’s propagation and the organizational structure of these sites. In this research, the compound visibility network with complex network analysis (CNA) and the least-cost paths based on the defensibility models from linear and logistic regression methods constitute the principle defensive structure. As possible transportation corridors, these paths are considered to be mostly fitted to each other in general, and are different from normal slope-based paths. The sites Kuhne Shahr and Agra play important roles for information control according to the CNA measures, while the sites Kuhne Shahr and Kuyux Shahr are considered to be crucial cities due to their positions and structural shapes. Some other sites, including Uzgen Bulak, Shah Kalandar, Chuck Castle, Caladar, and Qiuci, as well as some beacons, have important effects on defending the transportation corridors. This method is proven efficient for the study of the historical role of archaeological sites with defensive characteristics.

ACS Style

Jianfeng Zhu; Yueping Nie; Huaguang Gao; Fang Liu; Lijun Yu. GIS-Based Visibility Network and Defensibility Model to Reconstruct Defensive System of the Han Dynasty in Central Xinjiang, China. ISPRS International Journal of Geo-Information 2017, 6, 247 .

AMA Style

Jianfeng Zhu, Yueping Nie, Huaguang Gao, Fang Liu, Lijun Yu. GIS-Based Visibility Network and Defensibility Model to Reconstruct Defensive System of the Han Dynasty in Central Xinjiang, China. ISPRS International Journal of Geo-Information. 2017; 6 (8):247.

Chicago/Turabian Style

Jianfeng Zhu; Yueping Nie; Huaguang Gao; Fang Liu; Lijun Yu. 2017. "GIS-Based Visibility Network and Defensibility Model to Reconstruct Defensive System of the Han Dynasty in Central Xinjiang, China." ISPRS International Journal of Geo-Information 6, no. 8: 247.

Journal article
Published: 17 April 2017 in Remote Sensing
Reads 0
Downloads 0

Buried archeological features show up as crop marks that are mostly visible using high-resolution image data. Such data are costly and restricted to small regions and time domains. However, a time series of freely available medium resolution imagery can be employed to detect crop growth changes to reveal subtle surface marks in large areas. This paper aims to study the classical Chinese settlements of Taosi and Erlitou over large areas using Landsat NDVI time series crop phenology to determine the optimum periods for detection and monitoring of crop anomalies. Burial areas (such as the palace area and the sacrificial area) were selected as the research area while the surrounding empty fields with a low density of ancient features were used as reference regions. Landsat NDVI covering two years’ growth periods of wheat and maize were computed and analyzed using Pearson’s correlation coefficient and Euclidean distance. Similarities or disparities between the burial areas and their empty areas were computed using the Hausdorff distance. Based on the phenology of crop growth, the time series NDVI images of winter wheat and summer maize were generated to analyze crop anomalies in the archeological sites. Results show that the Hausdorff distance was high during the critical stages of water for both crops and that the images of high Hausdorff distance can provide more obvious subsurface archeological information.

ACS Style

Yuqing Pan; Yueping Nie; Chege Watene; Jianfeng Zhu; Fang Liu. Phenological Observations on Classical Prehistoric Sites in the Middle and Lower Reaches of the Yellow River Based on Landsat NDVI Time Series. Remote Sensing 2017, 9, 374 .

AMA Style

Yuqing Pan, Yueping Nie, Chege Watene, Jianfeng Zhu, Fang Liu. Phenological Observations on Classical Prehistoric Sites in the Middle and Lower Reaches of the Yellow River Based on Landsat NDVI Time Series. Remote Sensing. 2017; 9 (4):374.

Chicago/Turabian Style

Yuqing Pan; Yueping Nie; Chege Watene; Jianfeng Zhu; Fang Liu. 2017. "Phenological Observations on Classical Prehistoric Sites in the Middle and Lower Reaches of the Yellow River Based on Landsat NDVI Time Series." Remote Sensing 9, no. 4: 374.