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A spatiotemporal structural graph for characterizing land cover changes

Bin Wu, Bailang Yu, Song Shu, Qiusheng Wu, Yi Zhao, Jianping Wu
In this paper, we developed a spatiotemporal structural graph (STSG) technique for a comprehensive analysis of land cover changes.  ...  The proposed STSG provides a useful framework for analyzing land cover changes and can be adapted to characterize and quantify other spatiotemporal phenomena.  ...  Land cover trajectories that were changed to developed-high intensity Land cover trajectories that were changed to palustrine aquatic bed (22) 21→21→21→22;13→13→13→22; 05→05→05→22;09→09→09→22; 10→10→  ... 
doi:10.6084/m9.figshare.12853979.v1 fatcat:42dvpahz3vay3lgycpasbqjocq

A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification–An Example of Dust Events

Manzhu Yu
2020 ISPRS International Journal of Geo-Information  
The objectives of this research are to (1) conceptually represent the natural phenomenon as an event, and (2) quantify the dynamic movements and evolutions of events using a graph-based approach.  ...  Natural phenomena are intrinsically spatiotemporal and often highly dynamic.  ...  Acknowledgments: The author thanks Matt Rice for proofreading the manuscript, and the anonymous reviewers for commnts that greatly improved the manuscript.  ... 
doi:10.3390/ijgi9020127 fatcat:mm6mszyjj5dc7jyvut26hbpqsq

A graph-based approach to detect spatiotemporal dynamics in satellite image time series

Fabio Guttler, Dino Ienco, Jordi Nin, Maguelonne Teisseire, Pascal Poncelet
2017 ISPRS journal of photogrammetry and remote sensing (Print)  
graphs and the land cover maps are not 634 similar, we employed the following strategy to compare their intensities of change.  ...  indicates the area(s) covered at least twice 205 206 207 208 209 210 211 213 214 215 216 217 Table 2 : 2 Hierarchically structured land cover classes used for mapping the  ... 
doi:10.1016/j.isprsjprs.2017.05.013 fatcat:apyl5uyvt5geviuuzpik5l7f2y


Wan Yusryzal Wan Ibrahim, Ahmad Nazri Muhamad Ludin
Temporal satellite images between 2002 and 2013 were utilized as input data for the past changes and basis for future land use and land cover change projection (2020, 2025 and 2025).  ...  This study provides a platform for decision-makers to interpret the situation of landscape structure change in relation with environmental consequence in the study area.  ...  ACKNOWLEDGMENT The authors would like to thank Agency Of Remote Sensing, Malaysia, for providing satellite images in the study area.  ... 
doi:10.21837/pmjournal.v14.i4.160 fatcat:zfrkhw3f35febpvp25q2p74qfu

Urban structure analysis of mega city Mexico City using multisensoral remote sensing data

H. Taubenböck, T. Esch, M. Wurm, M. Thiel, T. Ullmann, A. Roth, M. Schmidt, H. Mehl, S. Dech, Ulrich Michel, Daniel L. Civco, Manfred Ehlers (+1 others)
2008 Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII  
On the one hand change detection on city level utilising the derived urban footprints enables to monitor and to assess spatiotemporal urban transformation, areal dimension of urban sprawl, its direction  ...  On the other hand, structural characteristics of an urban landscape -the alignment and types of buildings, streets and open spaces -provide insight in the very detailed physical pattern of urban morphology  ...  A comparative analysis of land cover classifications for the available times performed independently was therefore implemented to monitor and analyse the land cover changes in the metropolitan area of  ... 
doi:10.1117/12.800272 fatcat:wmytrfyvanhbpimx37p72j6a3q

Response of macrobenthic communities to changes in water quality in a subtropical, microtidal estuary (Oso Bay, Texas)

Kevin de Santiago, Terence A. Palmer, Michael S. Wetz, Jennifer Beseres Pollack, Arne Linlokken
2020 Experimental Results  
This 11-month study compared spatial changes in macrofaunal communities adjacent to regions that varied in land cover in Oso Bay, Texas, an estuarine secondary bay with inflow dominated by hypersaline  ...  Macrofauna communities changed in composition with distance away from a wastewater treatment plant in Oso Bay, with the western region of the bay containing different communities than the head and the  ...  The authors thank two anonymous reviewers for constructive comments that improved the quality of  ... 
doi:10.1017/exp.2020.44 fatcat:7uzvx3z3v5cq7fjt5wunbu4lxm

Spatiotemporal Data Mining: Issues, Tasks And Applications

Venkateswara Rao K
2012 International Journal of Computer Science & Engineering Survey  
Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time.  ...  System functional requirements for such kind of knowledge discovery and database structure are discussed. Finally applications of spatiotemporal data mining are presented.  ...  Hypothesis evaluation for crop rotation. 4. Spatiotemporal classification of land parcels. 5. Spatiotemporal Prediction models for crop yield.  ... 
doi:10.5121/ijcses.2012.3104 fatcat:smom5x2ybbgilavylsg7dju3pu

Spatiotemporal Data Mining: A Computational Perspective

Shashi Shekhar, Zhe Jiang, Reem Ali, Emre Eftelioglu, Xun Tang, Venkata Gunturi, Xun Zhou
2015 ISPRS International Journal of Geo-Information  
, spatiotemporal prediction, spatiotemporal partitioning and summarization, spatiotemporal hotspots, and change detection.  ...  The complexity of spatiotemporal data and intrinsic relationships limits the usefulness of conventional data science techniques for extracting spatiotemporal patterns.  ...  We would like to thank Kim Koffolt for the helpful comments in improving the readability of the paper. We would also like to thank Pradeep Mohan for helpful advice.  ... 
doi:10.3390/ijgi4042306 fatcat:hwnwbw7wm5hx5c4ncrvv533qju


J. Zhang
2022 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
It is a composite analysis method of time and space. A preliminary example of geo-infographics spectrum is given.  ...  , distribution and coupling, the geohazard infographics spectrum is constructed and characterize the multi-field geo-infographics spectrum of surface geohazards in mining areas.  ...  For landslide hazards, extract the morphological features of landslide walls, landslide steps, landslide drums, closed depressions, landslide tongues, and landslide cracks; for land subsidence hazards,  ... 
doi:10.5194/isprs-annals-v-4-2022-25-2022 fatcat:sxzckmeovbdl3ely32d6dgysne

Spatial Patterns of Vineyard Abandonment and Related Land Use Transitions in Beaujolais (France): A Multiscale Approach

Etienne Cossart, Jessica Pic, Yoann Le Guen, Mathieu Fressard
2020 Sustainability  
Second, we document land use evolution in relation to vineyard abandonment at a more local scale.  ...  A targeted survey was led at three complementary scales.  ...  Girard (Syndicat Mixte du Beaujolais) for administrative and technical support, and all stakeholders who asked to our questions.  ... 
doi:10.3390/su12114695 fatcat:glw4submqzc6bbd62iwlq3rbte

Spatiotemporal Applications of Big Data

Khalid Bin, Tariq Rahim
2018 International Journal of Computer Applications  
This paper covers the inclusion of these dimensions in a database and its applications in today's world.  ...  Big data has emerged as a field of study and gained huge importance these days for both industry and researcher's point of view.  ...  Agriculture also depends on spatiotemporal data in various aspects. Land use data and land covered data etc. are stored. Insurance of crops is one the challenges and also yield prediction for crops.  ... 
doi:10.5120/ijca2018917921 fatcat:zuoobcqkrvf6pcjwzxorwdq35q

Spatiotemporal Neighborhood Discovery for Sensor Data [chapter]

Michael P. McGuire, Vandana P. Janeja, Aryya Gangopadhyay
2010 Lecture Notes in Computer Science  
As building blocks for the spatiotemporal neighborhoods, we have developed a method to generate spatial neighborhoods and a method to discretize temporal intervals.  ...  ABSTRACT The focus of this paper is the discovery of spatiotemporal neighborhoods in sensor datasets where a time series of data is collected at many spatial locations.  ...  Our spatial neighborhood method uses a graph-based structure to model the data such that a spatial neighborhood graph SG = sg, < e > where sg is a set of nodes ∈ spn such that for all pair of nodes (s  ... 
doi:10.1007/978-3-642-12519-5_12 fatcat:bu7aenettjbpfku5vzuk2nzmum

Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas [chapter]

Fabio Guttler, Dino Ienco, Maguelonne Teisseire, Jordi Nin, Pascal Poncelet
2014 Communications in Computer and Information Science  
In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns  ...  Nowadays, a huge amount of high resolution satellite images are freely available.  ...  This work was supported by public funds received in the framework of GEOSUD, a project (ANR-10-EQPX-20) of the program "Investissements d'Avenir" managed by the French National Research Agency.  ... 
doi:10.1007/978-3-319-08795-5_11 fatcat:l2hvpqhprffnlhgay43vmwn4xu

Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches

Ekaterina Kalinicheva, Dino Ienco, Jeremie Sublime, Maria Trocan
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
However, it can be challenging to obtain reference data associated to such images to deal with land use or land cover changes as often the nature of the phenomena under study is not known a priori.  ...  The objects sharing the same geographical location are combined in spatiotemporal evolution graphs that are finally clustered accordingly to the type of change process with gated recurrent unit (GRU) AE-based  ...  For example, the first method is used for clustering of the prevailing land-cover types without considering eventual land-cover changes or some anomalies.  ... 
doi:10.1109/jstars.2020.2982631 fatcat:dpokadclc5ggrlw73pmdiucsmy


Ligia Collado-Vides, Leanne M. Rutten, James W. Fourqurean
2005 Journal of Phycology  
No spatial patterns were found in long-term or seasonal changes; the only significant relation detected was for slope, with sites closer to land showing higher values, suggesting that some factors associated  ...  This strategy enabled us to analyze the spatiotemporal patterns in the abundance of calcareous green algae as a group and to describe synchronous behavior among its genera through the application of a  ...  The main objective of many monitoring programs is to detect changes in the spatiotemporal patterns within a given community or ecosystem with respect to environmental changes.  ... 
doi:10.1111/j.1529-8817.2005.00099.x fatcat:h5vwdwnqorft3bls7xilhygk44
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