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Article ; Online: Monitoring land subsidence in the Peshawar District, Pakistan, with a multi-track PS-InSAR technique.

Hussain, Muhammad Afaq / Chen, Zhanlong / Khan, Junaid

Environmental science and pollution research international

2024 Volume 31, Issue 8, Page(s) 12271–12287

Abstract: Peshawar is one of the most densely populated cities of Pakistan with high urbanization rate. The city overexploits groundwater resources for household and commercial usage which has caused land subsidence. Land subsidence has long been an issue in ... ...

Abstract	Peshawar is one of the most densely populated cities of Pakistan with high urbanization rate. The city overexploits groundwater resources for household and commercial usage which has caused land subsidence. Land subsidence has long been an issue in Peshawar due to insufficient groundwater removal. In this research, we employ the persistent scatterer interferometry synthetic aperture radar (PS-InSAR) technique with Sentinel-1 imaging data to observe the yearly land subsidence and generate accumulative time-series maps for the years (2018 to 2020) using the SAR PROcessing tool (SARPROZ). The PS-InSAR findings from two contiguous paths are combined by considering the variance over the overlapping area. The subsidence rates in the Peshawar are from -59 to 17 mm/yr. The results show that subsidence is -28.48 mm/yr in 2018, the subsidence reached -49.02 mm/yr in 2019, while in 2020, the subsidence reached -49.90 mm/yr. The findings indicate a notable rise in land subsidence between the years 2018 and 2020. Subsidence is predicted in the research region primarily due to excessive groundwater removal and soil consolidation induced by surficial loads. The correlation of land subsidence observations with groundwater levels and precipitation data revealed some relationships. Overall, the proposed method efficiently monitors, maps, and detects subsidence-prone areas. The utilization of land subsidence maps will enhance the efficiency of urban planning, construction of surface infrastructure, and the management of risks associated with subsidence.
MeSH term(s)	Radar ; Pakistan ; Environmental Monitoring/methods ; Groundwater ; Interferometry
Language	English
Publishing date	2024-01-17
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-024-31995-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Spatial- and Temporal-Trajectory Analysis of the Crested Ibis (

Zhou, Yulong / Jiang, Xian / Chen, Zhanlong

Animals : an open access journal from MDPI

2023 Volume 13, Issue 2

Abstract: The Crested Ibis ( ...

Abstract	The Crested Ibis (
Language	English
Publishing date	2023-01-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606558-7
ISSN	2076-2615
ISSN	2076-2615
DOI	10.3390/ani13020237
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Article ; Online: Spatial- and Temporal-Trajectory Analysis of the Crested Ibis (Nipponia nippon) by Fusing Multiple Sources of Data

Zhou, Yulong / Jiang, Xian / Chen, Zhanlong

Animals. 2023 Jan. 09, v. 13, no. 2

2023

Abstract: The Crested Ibis (Nipponia nippon) is an endangered animal with an extremely high ecological, humanistic, and scientific value. However, this species still faces survival challenges, due to rapidly shrinking foraging grounds, the serious interference of ... ...

Abstract	The Crested Ibis (Nipponia nippon) is an endangered animal with an extremely high ecological, humanistic, and scientific value. However, this species still faces survival challenges, due to rapidly shrinking foraging grounds, the serious interference of human behavior, and increased habitat requirements. Geographical environment is a significant factor affecting Crested Ibis behavior-pattern analysis and habitat protection. The spatial and temporal trajectory contains habitat location and period information, a vital record of the Crested Ibis’ habits, and the basis of all research. Nevertheless, there are only a handful of studies on the missing trajectory data and fusing multiple sources of environmental data-research methods. We studied the spatial and temporal habitat use of the tracked Crested lbis by fusing multiple data-sources in China. This paper adopts the LSTM (long short-term memory) model to supplement the missing trajectory data and perform cluster mining; and a random forest model is used to predict the habitat of the Crested Ibis with high fitting accuracy (R² = 84.9%). The results show that the Crested Ibis distribution-pattern is characterized by high altitude and proximity to woodland and rivers. Additionally, the habitat dependence on the village implicates human agricultural activities in positively impacting its reproduction. This paper provides a complete method for analyzing Crested Ibis’ spatial and temporal trajectory by fusing multi-source data, which is crucial for protecting the survival and reproduction of the Crested Ibis.
Keywords	Nipponia nippon ; algorithms ; altitude ; habitat conservation ; habitat preferences ; habitats ; human behavior ; humans ; neural networks ; reproduction ; villages ; woodlands ; China
Language	English
Dates of publication	2023-0109
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2606558-7
ISSN	2076-2615
ISSN	2076-2615
DOI	10.3390/ani13020237
Database	NAL-Catalogue (AGRICOLA)

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Article: Understand space–time accessibility using a visual metaphor: a case study in Hong Kong–Zhuhai–Macao Belt

Jiang, Baode / An, Xiaoya / Chen, Zhanlong

Environmental earth sciences. 2022 Feb., v. 81, no. 4

2022

Abstract: Space–time accessibility among spatial elements has been widely studied, but fewer interactive visualization products have been delivered. The concept of space–time accessibility is hard to be displayed, and most methods lack capabilities of handling ... ...

Abstract	Space–time accessibility among spatial elements has been widely studied, but fewer interactive visualization products have been delivered. The concept of space–time accessibility is hard to be displayed, and most methods lack capabilities of handling relevant space–time attribute information in a cartographic form. To tackle this issue, our research presents a visual metaphor method to demonstrate space–time accessibility in a terrain-like form. We first employ a water flow model to analyze the space–time accessibility and further build a terrain-like visual metaphor for effectively displaying the analytical results in a three-dimensional frame. Compared to previous studies, the visual metaphor is used to map the high dimensional space to a lower dimension virtual terrain space with the spatial cognition to comprehensively understand the space–time accessibility of the Hong Kong–Zhuhai–Macao Belt.
Keywords	case studies ; cognition ; landscapes ; models ; space and time ; water flow
Language	English
Dates of publication	2022-02
Size	p. 130.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	2493699-6
ISSN	1866-6299 ; 1866-6280
ISSN (online)	1866-6299
ISSN	1866-6280
DOI	10.1007/s12665-022-10243-w
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Research on the interactive mode of residents’ behavior based on trajectory data mining

DAI Weixiu / CHEN Zhanlong / XIE Peng

Acta Geodaetica et Cartographica Sinica, Vol 50, Iss 4, Pp 532-

2021 Volume 543

Abstract: As one of the effective means of transportation, taxis carry much valuable residents’ traveling information in their trajectory data. However, unprocessed trajectory data is incapable of revealing the information due to the lack of semantic information. ... ...

Abstract	As one of the effective means of transportation, taxis carry much valuable residents’ traveling information in their trajectory data. However, unprocessed trajectory data is incapable of revealing the information due to the lack of semantic information. Trajectory, data mining technology, provides a method to unveil residents activating regular patterns, which can support urban planning. This paper provides an interactive mode measuring method based on semantic information to mine the implicit relationship between residents’ behavioral purpose and trajectory. Firstly, the author discovers the semantic information from the location of the stay points. Then constructs the Interactive matrix of semantic to infer the interaction mode of behavior purpose. Finally, it takes the central area of Beijing as the research area to test the method. The test shows the association of the property of stay points and their distribution, which is in accord with the reality: here are apparent clusters around universities and business districts; the active of stay points is more durable on weekdays than on the weekends. There is a significant difference in the interactive mode between weekdays and weekends: the primary interactive mode is dwelling-working on the weekdays and is dwelling-relaxing on the weekend. This research can provide an essential reference for urban planning, resource allocation, and emergency management.
Keywords	trajectory data ; semantic type ; stay poin activity ; interactive matrix of semantic ; interactive mode ; Mathematical geography. Cartography ; GA1-1776
Language	Chinese
Publishing date	2021-04-01T00:00:00Z
Publisher	Surveying and Mapping Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The precise model of complex planar objects' topological relations

CHEN Zhanlong / YE Wen

Acta Geodaetica et Cartographica Sinica, Vol 48, Iss 5, Pp 630-

2019 Volume 642

Abstract: For complex planar objects, which are composed of simple spatial objects, the existent models of topological relations may not be able to describe some topological attributes of complex objects well. Taking the topological content between complex objects ...

Abstract	For complex planar objects, which are composed of simple spatial objects, the existent models of topological relations may not be able to describe some topological attributes of complex objects well. Taking the topological content between complex objects into account, this paper presents a model of basic topological relations between line/planar objects, and then in which the basic topological relations and the concept of overlapping area are leveraged to describe the topological relations of simple planar objects. The definition of traversing of hole's boundary and planar with a hole are used to describe the topological relations between complex planar objects. Finally, the five basic topological relationship description modes of complex planar objects are summarized to realize description of the details of topological relations between partitions of complex planar objects.
Keywords	spatial combination ; topological relation ; boundary intersection ; precise representation ; Mathematical geography. Cartography ; GA1-1776
Subject code	514
Language	Chinese
Publishing date	2019-06-01T00:00:00Z
Publisher	Surveying and Mapping Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: EGDE-Net: A Building Change Detection Method for High-Resolution Remote Sensing Imagery Based on Edge Guidance and Differential Enhancement

Chen, Zhanlong / Zhou, Yuan / Wang, Bin / Xu, Xuwei / He, Nan / Jin, Shuai / Jin, Shenrui

ISPRS journal of photogrammetry and remote sensing. 2022 July 18,

2022

Abstract: Buildings are some of the basic spatial elements of a city. Changes in the spatial distributions of buildings are of great significance for urban planning and monitoring illegal construction. Building change detection (CD) with high-resolution remote ... ...

Abstract	Buildings are some of the basic spatial elements of a city. Changes in the spatial distributions of buildings are of great significance for urban planning and monitoring illegal construction. Building change detection (CD) with high-resolution remote sensing images based on deep learning can be used to quickly identify large-scale spatial distribution changes, saving many workforce and material resources. However, existing CD networks mainly focus on regional accuracy, ignoring the importance of accurate boundary identification. It is often difficult for CD networks to achieve accurate boundary segmentation, especially for dense and continuously distributed buildings. In addition, due to the inconsistencies among classes and the discontinuities within classes, it is difficult for CD networks to obtain complete change results. In response to the above problems, a novel method called EGDE-Net that focuses on boundary accuracy and change region integrity is proposed in this paper. First, an edge-guided Transformer block is designed to encode dual-branch networks for EGDE-Net; this block combines a hierarchical Transformer with an edge-aware module (EAM) for long-range context modeling and feature refinement. Second, a feature differential enhancement module (FDEM) is developed to learn highly discriminative change feature maps by exploiting the differences between bitemporal features. In addition, feature maps are recovered through multiple upsampling operations and dilated asymmetric modules (DAMs) in the decoding part of the network. Finally, prior information for boundaries and change information are jointly used to implement a supervision process and obtain the optimal model. The proposed EGDE-Net achieves better results based on the WHU building CD dataset and LEVIR-CD dataset than do similar methods. Notably, F1 scores of 93.02% and 90.05% and intersection over union (IoU) scores of 86.96% and 81.91% are obtained for these two datasets.
Keywords	data collection ; labor force ; models ; photogrammetry
Language	English
Dates of publication	2022-0718
Publishing place	Elsevier B.V.
Document type	Article
Note	Pre-press version
ZDB-ID	1007774-1
ISSN	0924-2716
ISSN	0924-2716
DOI	10.1016/j.isprsjprs.2022.07.016
Database	NAL-Catalogue (AGRICOLA)

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Article: Landslide Susceptibility Mapping Using Machine Learning Algorithm: A Case Study Along Karakoram Highway (KKH), Pakistan

Hussain, Muhammad Afaq / Chen, Zhanlong / Kalsoom, Isma / Asghar, Aamir / Shoaib, Muhammad

Journal of the Indian Society of Remote Sensing. 2022 May, v. 50, no. 5

2022

Abstract: The China–Pakistan Karakoram Highway links China to South Asia and the Middle East through Pakistan. Rockfall and debris flows are dangerous geological risks on the main route, and they often disrupt traffic and result in fatalities. As a result, the ... ...

Abstract	The China–Pakistan Karakoram Highway links China to South Asia and the Middle East through Pakistan. Rockfall and debris flows are dangerous geological risks on the main route, and they often disrupt traffic and result in fatalities. As a result, the landslide susceptibility map (LSM) evolution along the highway could make it safer to drive. In this article, remote sensing data are combined with machine learning algorithms such as Random Forest (RF), Extreme Gradient Boosting (XGBoost), and k-Nearest Neighbors (KNN) to develop the LSM. Initially, 274 landslide locations we determined and mapped in ArcGIS software and randomly divided into a ratio of 8/2. Secondly, ten landslide susceptibility factors were developed using satellite imagery and different topographical and geological maps. Finally, the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC) value, was used to estimate the model's effectiveness. Our consequences showed that, for three models, the RF, XGBoost, and KNN models, as well as slope, elevation, and distance from the river parameters, had the maximum influence upon landslide sensitivity. Accordingly, the prediction rates are 83.5%, 82.7%, and 80.7% for RF, XGBoost, and KNN. Furthermore, the RF method has better efficiency as compared to other models on the base of AUC. Our findings show that all three machine learning algorithms positively impact, and the results may assist the highway's safe operations.
Keywords	algorithms ; case studies ; computer software ; landslides ; models ; prediction ; remote sensing ; rivers ; rockfalls ; traffic ; Middle East ; Pakistan
Language	English
Dates of publication	2022-05
Size	p. 849-866.
Publishing place	Springer India
Document type	Article
ZDB-ID	2439566-3
ISSN	0974-3006 ; 0255-660X
ISSN (online)	0974-3006
ISSN	0255-660X
DOI	10.1007/s12524-021-01451-1
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: MapGAN: An Intelligent Generation Model for Network Tile Maps.

Li, Jingtao / Chen, Zhanlong / Zhao, Xiaozhen / Shao, Lijia

Sensors (Basel, Switzerland)

2020 Volume 20, Issue 11

Abstract: In recent years, the generative adversarial network (GAN)-based image translation model has achieved great success in image synthesis, image inpainting, image super-resolution, and other tasks. However, the images generated by these models often have ... ...

Abstract	In recent years, the generative adversarial network (GAN)-based image translation model has achieved great success in image synthesis, image inpainting, image super-resolution, and other tasks. However, the images generated by these models often have problems such as insufficient details and low quality. Especially for the task of map generation, the generated electronic map cannot achieve effects comparable to industrial production in terms of accuracy and aesthetics. This paper proposes a model called Map Generative Adversarial Networks (MapGAN) for generating multitype electronic maps accurately and quickly based on both remote sensing images and render matrices. MapGAN improves the generator architecture of Pix2pixHD and adds a classifier to enhance the model, enabling it to learn the characteristics and style differences of different types of maps. Using the datasets of Google Maps, Baidu maps, and Map World maps, we compare MapGAN with some recent image translation models in the fields of one-to-one map generation and one-to-many domain map generation. The results show that the quality of the electronic maps generated by MapGAN is optimal in terms of both intuitive vision and classic evaluation indicators.
Language	English
Publishing date	2020-05-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s20113119
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Identification of the urban functional regions considering the potential context of interest points

CHEN Zhanlong / ZHOU Lulin / YU Wenhao / WU Liang / XIE Zhong

Acta Geodaetica et Cartographica Sinica, Vol 49, Iss 7, Pp 907-

2020 Volume 920

Abstract: The exploration of urban functional structure plays an important role in understanding urban and urban planning. POI(point of interest) data, as a representative of urban facilities, is widely used to extract urban functional areas. In the past, most of ... ...

Abstract	The exploration of urban functional structure plays an important role in understanding urban and urban planning. POI(point of interest) data, as a representative of urban facilities, is widely used to extract urban functional areas. In the past, most of the researches on urban functional areas only considered POI statistical information. However, they ignored the abundant spatial distribution characteristics of POI, which are closely related to regional functions. Therefore, we firstly use spatial co-location pattern mining to mine the potential context of POI, extract the spatial distribution information of POI, construct regional feature vectors, and carries out the regional clustering through the clustering algorithm. Then we use the POI class ratio and residents’ travel characteristics to identify the clustering results. We experimented our method on the core urban functional areas of Beijing, the results, which were verified with Baidu Map and residents’ travel characteristics, showed that they can identify urban functional areas with obvious characteristics, such as mature entertainment business areas, science and education cultural areas, residential areas, etc. We also proved the superiority of our method compared with the LDA method based on POI semantic information and the Word2Vec method considering the linear spatial relationship of POI.
Keywords	urban functional area identification ; contextual relationship ; point of interest ; spatial co-location mode ; beijing ; Mathematical geography. Cartography ; GA1-1776
Subject code	710
Language	Chinese
Publishing date	2020-07-01T00:00:00Z
Publisher	Surveying and Mapping Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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