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CLEARMiner: Mining of Multitemporal Remote Sensing Images

Aneesh Chandran, Swathy Ramadas
2015 International Journal of Computer Applications Technology and Research  
A new unsupervised algorithm, called CLimate and rEmote sensing Association patterns Miner, for mining association patterns on heterogeneous time series from climate and remote sensing data, integrated  ...  The time series mining method transforms series to symbolic representation in order to identify patterns in a multitemporal satellite images and associate them with patterns in other series within a temporal  ...  ARCHITECTURE OF REMOTE AGRI Before applying data mining techniques in remote sensing imagery, it is necessary to submit images to the preprocessing process.  ... 
doi:10.7753/ijcatr0401.1009 fatcat:rcf3ofsjgrehdlirupdcpxzpdm

Front Matter: Volume 10004

2017 Image and Signal Processing for Remote Sensing XXII  
A unique citation identifier (CID) number is assigned to each article at the time of publication.  ...  SPIE uses a seven-digit CID article numbering system structured as follows: The first five digits correspond to the SPIE volume number.  ...  detection in bi-temporal polarimetric SAR images [10004-37] 10004 10 A segmentation-based approach to SAR change detection and mapping [10004-38] SESSION 9 ANALYSIS OF SAR DATA 10004 12 A real-time  ... 
doi:10.1117/12.2263641 fatcat:lkznagpvvzdzbhq4f5giqv2p5e

Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change

Richard J. Boothroyd, Richard D. Williams, Trevor B. Hoey, Brian Barrett, Octria A. Prasojo
2020 WIREs Water  
This article is categorized under: Science of Water K E Y W O R D S cloud-based computing, multitemporal, planform analysis, remote sensing, river science  ...  Cloud-based computing, access to big geospatial data, and virtualization, whereby users are freed from computational hardware and data management logistics, could revolutionize remote sensing applications  ...  These discussions were facilitated through a Scottish Funding Council-Global Challenges Research Fund (SFC-GCRF) grant.  ... 
doi:10.1002/wat2.1496 fatcat:dqsrb2s3zbhgxfl6aaaafzb4xa

New Methods in Acquisition, Update and Dissemination of Nature Conservation Geodata - Implementation of an Integrated Framework

G. Tintrup gen. Suntrup, T. Jalke, L. Streib, N. Keck, S. Nieland, N. Moran, B. Kleinschmit, M. Trapp
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Within the framework of this project methods are being tested and implemented a) to introduce remote sensing based approaches into the existing process of biotope mapping and b) to develop a framework  ...  Parameters are tested on relevance in regard to the classification process using different data mining approaches and have been used to formalise categories of the European nature information system (EUNIS  ...  Further remote sensing technology can be applied to the data base through satellite imagery by methods making use of their higher spectral and temporal resolution.  ... 
doi:10.5194/isprsarchives-xl-7-w3-707-2015 fatcat:mtyi7gpknbdw7bcrfqldh5expa

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., Bronstert, A., and Foerster, S  ...  ., +, JSTARS Dec. 2014 4860-4868 River Delineation from Remotely Sensed Imagery Using a Multi-Scale Classification Approach.  ...  Ai, B., +, JSTARS Dec. 2014 4887-4896 River Delineation from Remotely Sensed Imagery Using a Multi-Scale Clas- sification Approach.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

Segmentation of Optical Remote Sensing Images for Detecting Homogeneous Regions in Space and Time

Wanderson Costa, Leila Maria Fonseca, Thales Korting, Margareth Simões, Hugo Bendini, Ricardo Souza
2018 Revista Brasileira de Cartografia  
Acknowledgments The authors would like to acknowledge the financial support of CAPES, FAPESP e-sensing program (grant 2014/08398-6) and CAPES/COFECUB Programme for the GeoABC Project (n. 845/15) as well  ...  Further analysis is needed to apply this approach in regions with higher temporal resolutions and to test different indices and spatial resolutions of Landsat-like image time series.  ...  In this paper, we describe a segmentation method applied to time series of Earth Observation data. The method integrates regions in order to detect objects that are homogeneous in space and time.  ... 
doi:10.14393/rbcv70n5-45227 fatcat:yb7nagsvgfemzjeyrxfs24pbqy

Mapping urban sprawl and impervious surfaces in the northeast United States for the past four decades

Nathan Torbick, Megan Corbiere
2015 GIScience & Remote Sensing  
The lack of large-area time-series maps created the need to develop an approach and products that can easily be scaled.  ...  The CART and IS models were applied to modern imagery and backcast to selected archived imagery to generate maps of urban and IS across New England for the past four decades.  ...  lack the time series and phenologically matching imagery to backcast time-series models.  ... 
doi:10.1080/15481603.2015.1076561 fatcat:hxofw7eiyrgnpnrws2uu5f7voi

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS April 2019 1314-1326 A Forecasting Approach to Online Change Detection in Land Cover Time Series.  ...  ., +, JSTARS Sept. 2019 3701 Eyes in the Skies: A Data-Driven Fusion Approach to Identifying Drug Crops From Remote Sensing Images.  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

Multitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends

Steve N. Gillanders, Nicholas C. Coops, Michael A. Wulder, Sarah E. Gergel, Trisalyn Nelson
2008 Progress in physical geography  
The second objective of this review is to make recommendations, including appropriate landscape pattern indices, for the application of landscape pattern analysis of a long time series of remotely sensed  ...  of remotely sensed data.  ...  Acknowledgements This project is funded by the Government of Canada through the Mountain Pine Beetle Initiative, a six-year, $40 million programme administered by Natural Resources Canada, Canadian Forest  ... 
doi:10.1177/0309133308098363 fatcat:v6ywffhz3fcslnplbdpxxlupji

Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale

Gerald Blasch, Daniel Spengler, Christian Hohmann, Carsten Neumann, Sibylle Itzerott, Herrmann Kaufmann
2015 Computers and Electronics in Agriculture  
This research proposes a new model for the generation of basic soil information maps for precision agriculture based on multitemporal remote sensing data analysis and GIS spatial data modelling.  ...  The potential of the proposed algorithm is investigated using multitemporal multispectral RapidEye satellite imagery at a demonstration field "Borrentin" field in Northeast Germany.  ...  Acknowledgements We are grateful to have the chance to complete our research activities in the project area of the Terrestrial Environmental Observatory Northeast (TERENO NE).  ... 
doi:10.1016/j.compag.2015.01.012 fatcat:hxebkpm4jrgxrpkylmwa3puuwa


B. Bechtel, T. Langkamp, J. Böhner, C. Daneke, J. Oßenbrügge, S. Schempp
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Remote sensing has widely been used in urban climatology since it has the advantage of a simultaneous synoptic view of the full urban surface.  ...  Multitemporal thermal data performed very well with up to 96.3 % overall classification accuracy with a neuronal network classifier.  ...  For remote sensing data we thank the NASA and Intermap Technologies. Further, we thank H.  ... 
doi:10.5194/isprsarchives-xxxix-b8-463-2012 fatcat:3unnowvaovgvdmf7nevnrsjqsm

Image Mining in Remote Sensing for Coastal Wetlands Mapping: from Pixel Based to Object Based Approach

N M Farda, P Danoedoro, Hartono, A Harjoko
2016 IOP Conference Series: Earth and Environment  
The results show that remote sensing image mining can be used to map coastal wetlands ecosystem. Decision Tree C4.5 can be mapped with highest accuracy (0.75 overall kappa).  ...  The availably of remote sensing image data is numerous now, and with a large amount of data it makes "knowledge gap" in extraction of selected information, especially coastal wetlands.  ...  This paper is part from PhD thesis of the first author entitled "Image Mining in Remote Sensing for Coastal Wetlands Monitoring: an Information-driven framework perspective".  ... 
doi:10.1088/1755-1315/47/1/012002 fatcat:oyehezvblrburh3ekoqadgs62u

2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS 2020 2610-2625 A Novel Water Change Tracking Algorithm for Dynamic Mapping of Inland Water Using Time-Series Remote Sensing Imagery.  ...  ., +, JSTARS 2020 3094-3108 Decorrelation A Modification to Time-Series Coregistration for Sentinel-1 TOPS Data.  ...  A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020  ... 
doi:10.1109/jstars.2021.3050695 fatcat:ycd5qt66xrgqfewcr6ygsqcl2y


Jurandir Zullo Junior, Priscila Pereira Coltri, Renata Ribeiro do Valle Gonçalves, Luciana Alvim Santos Romani
2015 Revista Brasileira de Cartografia  
We present a review of literature on remote sensing spatial and temporal images resolution applied to agriculture purposes.  ...  A few main applications with low, medium and high spatial resolution focus were selected for this review, especially in sugarcane and coffee crops, where remote sensing contributions are traditionally  ...  new approach has available to a larger public.  ... 
doaj:1ddf2ec2496b4bfd825d221449fd7c95 fatcat:73alciija5fbfa6ixg6rsxi6di

Feature Extraction in the North Sinai Desert Using Spaceborne Synthetic Aperture Radar: Potential Archaeological Applications

Christopher Stewart, Rosanna Montanaro, Maura Sala, Paolo Riccardi
2016 Remote Sensing  
Over the coastal subset region a time series of PALSAR-2 spotlight data were processed. The coefficient of variation (CoV) of De Grandi filtered imagery clearly revealed anomaly features of low CoV.  ...  To obtain a synoptic view over the study area, a mosaic of average, multitemporal (De Grandi) filtered PALSAR-1 σ • backscatter of North Sinai was produced.  ...  Author Contributions: Christopher Stewart conceived the research and carried out all remote sensing data processing with the help of Sarmap SA, in particular Paolo Riccardi.  ... 
doi:10.3390/rs8100825 fatcat:e3q3mxjp3jak3h5dwk453mkjze
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