130 Hits in 6.7 sec

CORN: An Alternative Way to Utilize Time-Series Data of SAR Images in Newly Built Construction Detection

Raveerat Jaturapitpornchai, Poompat Rattanasuwan, Masashi Matsuoka, Ryosuke Nakamura
2020 Remote Sensing  
The network uses two U-net adaptations to learn the changes between images from both Time 1–Time 2 and Time 2–Time 1 formats, which allows it to learn double the amount of changes in different perspectives  ...  The limitations in obtaining sufficient datasets for training deep learning networks is preventing many applications from achieving accurate results, especially when detecting new constructions using time-series  ...  This can happen with any change detection approach that is based on the difference between images, even when using deep learning techniques such as in [14] .  ... 
doi:10.3390/rs12060990 fatcat:djihz75nlvbtrets4jhmoylx7m

Newly Built Construction Detection in SAR Images Using Deep Learning

Raveerat Jaturapitpornchai, Masashi Matsuoka, Naruo Kanemoto, Shigeki Kuzuoka, Riho Ito, Ryosuke Nakamura
2019 Remote Sensing  
In this study, we use SAR data to identify newly built constructions.  ...  detecting other changes such as the seasonal change of vegetation.  ...  Yousif [6] used the threshold-based method on a difference image in detecting urban change.  ... 
doi:10.3390/rs11121444 fatcat:mjyvxmezozf7dnhhf7sublo2pe

Paddy Rice Mapping in Thailand Using Time-Series Sentinel-1 Data and Deep Learning Model

Lu Xu, Hong Zhang, Chao Wang, Sisi Wei, Bo Zhang, Fan Wu, Yixian Tang
2021 Remote Sensing  
To solve this problem, this study proposes a large-scale paddy rice mapping scheme, which uses time-series Sentinel-1 data to generate a convincing annual paddy rice map of Thailand.  ...  The proposed method extracts temporal statistical features of the time-series SAR images to overcome the intra-class variability due to different management practices and modifies the U-Net model with  ...  Acknowledgments: The authors would like to thank EU Copernicus Program for providing the Sentinel-1A SAR data; NASA, CGIAR-CSI for providing SRTM DEM data; and Tsinghua University for providing FROM-GLC  ... 
doi:10.3390/rs13193994 fatcat:attq2pevwvbfbbqf44v4dk72ri


G. Dadhich, H. Miyazaki, M. Babel
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
</p><p>In Nakhon Si Thammarat, a southern province in Thailand, flooding is a recurrent event affecting the entire province, especially the urban area.  ...  Cropland mapping has been carried out to assess the agricultural loss in study area using Sentinel-1 SAR data.  ...  Results of change detection using thresholding Once the thresholding is done, water class of the study area generated.  ... 
doi:10.5194/isprs-archives-xlii-2-w13-1927-2019 fatcat:j7ypawxgwfcrfokomo2uvlgypi

Semantic Labelling of Globally Distributed Urban and Non-Urban Satellite Images Using High-Resolution SAR Data

Corneliu Octavian Dumitru, Gottfried Schwarz, Mihai Datcu
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this paper, we present a survey of existing multispectral and SAR land cover image datasets.  ...  ., optical) remote sensing images has made considerable progress during the last decades, the automated analysis of SAR (Synthetic Aperture Radar) satellite images still needs some innovative techniques  ...  Researchers interested in our benchmark data listed in Appendix II have to submit a scientific proposal, see  ... 
doi:10.1109/jstars.2021.3084314 fatcat:h6lamzs4gjbwtdjflnvu6aybjy

Land Cover Semantic Annotation Derived from High-Resolution SAR Images

Corneliu Octavian Dumitru, Gottfried Schwarz, Mihai Datcu
2016 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In contrast, we concentrate in this publication on the definition of a new classification scheme for high resolution synthetic aperture radar (SAR) images that are mostly taken over built-up areas.  ...  definition of a new high resolution multi-level SAR image classification scheme that can be applied globally for semantic annotation in an automated chain.  ...  ACKNOWLEDGEMENTS We thank the TerraSAR-X Science Service System for providing access to the image data and Shiyong Cui for his support.  ... 
doi:10.1109/jstars.2016.2549557 fatcat:4bbjjjd2dvgstastbk5j2dcfei

Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery

Edoardo Nemni, Joseph Bullock, Samir Belabbes, Lars Bromley
2020 Remote Sensing  
We design a Convolutional Neural Network (CNN) based method which isolates the flooded pixels in freely available Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) imagery, requiring no optical bands  ...  Given the open-source data and the minimal image cleaning required, this methodology can also be integrated into end-to-end pipelines for more timely and continuous flood monitoring.  ...  All the authors thank UNOSAT Geospatial Analysts in Geneva and Bangkok office for their crucial support.  ... 
doi:10.3390/rs12162532 fatcat:dwimohx63ra25j7uazasxx3m6m

Remote Sensing for the Quantification of Land Surface Dynamics in Large River Delta Regions—A Review

Kuenzer, Heimhuber, Huth, Dech
2019 Remote Sensing  
Sustainable management of river deltas therefore requires a holistic assessment of historic and recent ongoing changes and the dynamics in settlement sprawl, land cover and land use change, ecosystem development  ...  that can be derived from medium resolution, high resolution and highest resolution optical, multispectral, thermal and SAR data.  ...  Figure 11 . 11 Urban surfaces (built-up area) in the Chao Pharya River Delta area in Bangkok, Thailand.  ... 
doi:10.3390/rs11171985 fatcat:i5rq46wtkna2tcswh2vfdacfxi

Science-policy dialogue on challenges of global environmental change in Southeast Asia

Linda Anne Stevenson, Jariya Boonjawat, Hassan Virji, Marwaan Macan-Markar, Xiaojun Deng
2013 APN Science Bulletin  
We demonstrated web-based tools and carbon mapping methods in two case study areas: Sangthong District, Lao PDR and Bac Kan Province, Viet Nam.  ...  Results for carbon stock in the forest strata for these two pilot areas are reported via an online system using geographic parcels and plot information, and tree inventory data collected at the plot level  ...  These funds have been used in a complimentary manner with the APN funding to undertake the research on community-based forest biomass monitoring.  ... 
doi:10.30852/sb.2013.2.43 fatcat:5aa7zfwnijasdcf3sbw7cuqpny

Vertical Ground Displacements and Its Impact on Erosion along the Karachi Coastline, Pakistan

Shamsa Kanwal, Xiaoli Ding, Songbo Wu, Muhammad Sajjad
2022 Remote Sensing  
low-lying coastal area, may manifest in the form of ground instabilities (e.g., Long Beach in the United States, Venice in Italy, Tokyo in Japan, Bangkok in Thailand, or Shanghai in China), making these  ...  for SAR images known as NL-SAR [36] .  ... 
doi:10.3390/rs14092054 dblp:journals/remotesensing/KanwalDWS22 fatcat:tps4sav7vvdz3cceca6ubcxxly

A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

Renaud Marti, Zhichao Li, Thibault Catry, Emmanuel Roux, Morgan Mangeas, Pascal Handschumacher, Jean Gaudart, Annelise Tran, Laurent Demagistri, Jean-François Faure, José Joaquín Carvajal, Bruna Drumond (+5 others)
2020 Remote Sensing  
We propose here a mapping review based on 78 articles that study the relationships between landscape factors and urban dengue cases considering household, neighborhood and administrative levels.  ...  Remote sensing urban mapping is however of interest to provide a geographical frame to distribute human population and movement in relation to their activities in the city, and as spatialized input variables  ...  image processing algorithms, including deep learning techniques when possible.  ... 
doi:10.3390/rs12060932 fatcat:co7h2jz2jngrpppnfolg34piqe

Japanese Self-initiated Expatriate Entrepreneurs in South East Asia [chapter]

Kazuko Yokoyama, Sarah Louisa Birchley
2019 Transnational Entrepreneurship in South East Asia  
As cross-cultural academics in Japan, we are able to witness first-hand the globalization of Japan while simultaneously observing massive change and development in the region surrounding us.  ...  Fascinated with Japan's position in this new Asia, our research led us to explore how Japanese SIEEs are themselves taking advantage of the current economic climate in Asia (Fig. 3 .1).  ...  On arrival in Bangkok he attended Thai language school for 6 months. At school, he met many people and learned how to set up a business in Thailand.  ... 
doi:10.1007/978-981-32-9252-9_3 fatcat:nsojzm2cn5cxfba3vax2j3xbl4

Twenty-year advanced DInSAR analysis of severe land subsidence: The Alto Guadalentín Basin (Spain) case study

Roberta Bonì, Gerardo Herrera, Claudia Meisina, Davide Notti, Marta Béjar-Pizarro, Francesco Zucca, Pablo J. González, Mimmo Palano, Roberto Tomás, José Fernández, José Antonio Fernández-Merodo, Joaquín Mulas (+3 others)
2015 Engineering Geology  
The SAR images used in this study consist of four data sets acquired by ERS-1/2, ENVISAT, ALOS and COSMO-SkyMed satellites between 1992 and 2012.  ...  A twenty-year period of severe land subsidence evolution in the Alto Guadalentín Basin (southeast Spain) is monitored using multi sensor SAR images, processed by advanced differential interferometric synthetic  ...  For instance, well-known examples of pumping-induced subsidence affected the Antelope valley in California (Galloway et al. 1998) , the North China Plain (Changming et al. 2001) , Bangkok in Thailand  ... 
doi:10.1016/j.enggeo.2015.08.014 fatcat:lwcvac6xzzgtpmofgppfa34zny

Process for integrating local and indigenous knowledge related to hydro-meteorological hazards with science: Experiences from coastal and small island communities in Southeast Asia

Lisa Hiwasaki, Emmanuel Luna, Syamsidik, Rajib Shaw
2015 APN Science Bulletin  
Years) Recovery following Major Disasters in the Asia-Pacific Region: Lessons for Resilient Development CAF2014-RR05NMY-LASCO 94 Assessing the Linkages between Climate Change Adaptation (CCA), Disaster  ...  Integrating Climate Change Adaptation, Disaster Risk Reduction and Loss and Damage to Address Emerging Challenges due to Slow Onset Processes CAF2014-RR04NMY-THOMALLA 93 An Analysis of Longer-Term (5-10  ...  Urbanization and Global Environmental Change (UGEC) held from 6-8 November 2014 in Taipei.  ... 
doi:10.30852/sb.2015.10 fatcat:cgivvxthsfawzdljki4yidarn4

Conservation farming village (CFV) programme for protecting uplands and building resilient communities

Rex Victor O. Cruz, Wilfredo M. Carandang, Genevieve A. Galapia, Vida Q. Carandang, Catherine C. de Luna
2014 APN Science Bulletin  
To analyse future climate change impacts, three Global Circulation Models (GCMs), i.e., CGCM3_T47, CGCM2_3_2 and CM4 were selected using criteria based on probabilistic uncertainty analysis, correlation  ...  The present study analysed historical climate and hydrology trends of future climate change impacts over 18 demonstration basins in Asian Water Cycle Initiative (AWCI) countries.  ...  Acknowledgements We sincerely acknowledge the support from APN and Korea Green Foundation based in Seoul for sponsoring SAFE.  ... 
doi:10.30852/sb.2014.49 fatcat:pugfgkxdybcajphgfuswsyotse
« Previous Showing results 1 — 15 out of 130 results