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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 3066-3082 Data assimilation Validation of Sea Surface Temperature Derived From Himawari-8 by JAXA.  ...  ., +, JSTARS 2020 3-13 Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared 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

URBAN SUSTAINABLE ECOSYSTEMS ASSESSMENT THROUGH AIRBORNE EARTH OBSERVATION: LESSONS LEARNED

R. Alamús, F. Pérez, L. Pipia, J. Corbera
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Therefore, the task of generating a mapping approach over urban ecosystems to provide indicators assessing their sustainability and facilitating the design and implementation of policies and derived actions  ...  surface models to generate a set of urban sustainability indicators.  ...  interpretation of the retrieved information.  ... 
doi:10.5194/isprs-archives-xlii-1-5-2018 fatcat:7coq67rewffrhfqlawaglnorwy

Table of contents

2020 IEEE Geoscience and Remote Sensing Letters  
Yang 504 Thermal Data Estimating Land and Sea Surface Temperature From Cross-Calibrated Chinese Gaofen-5 Thermal Infrared Data Using Split-Window Algorithm .............................................  ...  Liao 451 Automatic Training Set Compilation With Multisource Geodata for DTM Generation From the TanDEM-X DSM ........................................... C. Geiß, P. Aravena Pelizari, S. Bauer, A.  ... 
doi:10.1109/lgrs.2020.2972782 fatcat:pyplqlwzsvaphf5q6r4e7jp54u

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  
., JSTARS Aug. 2014 3416-3420 Toward a Near Real-Time Product of Air Temperature Maps from Satellite Data and In Situ Measurements in Arid Environments.  ...  Zhao, W., +, JSTARS Sept. 2014 3704-3712 Toward a Near Real-Time Product of Air Temperature Maps from Satellite Data and In Situ Measurements in Arid Environments.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

DROACOR®-THERMAL: AUTOMATED TEMPERATURE / EMISSIVITY RETRIEVAL FOR DRONE BASED HYPERSPECTRAL IMAGING DATA

D. Schläpfer, R. Richter, C. Popp, P. Nygren
2022 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The method includes an implementation of the semi-automatic normalized emissivity mapping (NEM) method for temperature/ emissivity separation.  ...  Furthermore, an extension of the method for correction of low emissivity targets, appearing as cold targets in the temperature mapping is introduced.  ...  The data import is done semi-automatically using the meta data as provided by the sensor manufacturer.  ... 
doi:10.5194/isprs-archives-xliii-b3-2022-429-2022 fatcat:67mg2xk22zcerjowyqf2joxjae

Fusion of Optical and Thermal Imagery and LiDAR Data for Application to 3-D Urban Environment and Structure Monitoring [chapter]

Anna Brook, Marijke Vandewal, Eyal Ben-Dor
2012 Remote Sensing - Advanced Techniques and Platforms  
The hyperspectral thermal imagery provides the ability for mapping and monitoring temperatures related to the man-made materials.  ...  The height of large buildings ranges from 8 to 16 m.  ...  .), ISBN: 978-953-51-0652-4, InTech, Available from: http://www.intechopen.com/books/remote-sensing-advanced-techniques-and-platforms/fusion-of-optical-andthermal-imagery-and-lidar-data-for-application-to  ... 
doi:10.5772/36066 fatcat:3outhr4aqfehfnna3afdlni6mi

Table of contents

2021 IEEE Transactions on Geoscience and Remote Sensing  
Franz 2562 Automatic Extraction of Sargassum Features From Sentinel-2 MSI Images ....................... M. Wang and C.  ...  Cherniakov 2627 A Forward Model for Data Assimilation of GNSS Ocean Reflectometry Delay-Doppler Maps .......................... .................... F. Huang, J. L. Garrison, S. M. Leidner, B.  ... 
doi:10.1109/tgrs.2021.3052119 fatcat:obk5h6sp2nh47ounq4jqlhukcu

Oil Slick Volume Estimation from Combined Use of Airborne Hyperspectral and Pool Experiment Data

Roupioz Laure, Viallefont-Robinet Francoise, Miegebielle Veronique
2019 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium  
When oil thickness estimation using optical data is limited by the absorption properties of the target, a solution consists in combining experimental and airborne hyperspectral data.  ...  We developed a method to identify thickness classes from hyperspectral data which, combined with realistic thickness values derived from a pool experiment, allows to estimate slick volume.  ...  Acknowledgments This work was carried out in the framework of the NAOMI research project a partnership between TOTAL and ONERA.  ... 
doi:10.1109/igarss.2019.8899057 dblp:conf/igarss/LaureFV19 fatcat:nrfhkfgeknchjdnj7p26ew7gcy

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 May 2019 1572-1586 Ground Feature Oriented Path Planning for Unmanned Aerial Vehicle Map-Extraction of Earthquake-Induced Collapsed Buildings From Bi-Temporal VHR Images Using Object-Level  ...  ., +, JSTARS April 2019 1205-1218 Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

Automated GIS-based derivation of urban ecological indicators using hyperspectral remote sensing and height information

Robert Behling, Mathias Bochow, Saskia Foerster, Sigrid Roessner, Hermann Kaufmann
2015 Ecological Indicators  
The initial mapping of surface materials was automatically performed on the basis of airborne hyperspectral image data acquired by the HyMAP system.  ...  The system is based on automated surface material mapping using airborne hyperspectral image data and height information.  ...  Hyperspectral image data were recorded during HyMap flight campaigns carried out by the DLR between 1999 and 2007.  ... 
doi:10.1016/j.ecolind.2014.08.003 fatcat:ugvfrynxtjbrtpgsbryvzubbl4

Table of Contents

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Brown 3816 A Stepwise Downscaling Method for Generating High-Resolution Land Surface Temperature From AMSR-E Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Liao 1856 Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Qian 6088 Special Section: Spectial Section: Super-resolution of Remotely Sensed Images Reconstruction of Hyperspectral Images From Spectral Compressed Sensing Based on a Multitype Mixing Model . . .  ... 
doi:10.1109/jstars.2020.3046663 fatcat:zqzyhnzacjfdjeejvzokfy4qze

Front Matter: Volume 9808

2015 International Conference on Intelligent Earth Observing and Applications 2015  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  gravimetry [9808-227] 9808 16 Generation of an all-weather land surface temperature product from MODIS and AMSR-E data [9808-233] 9808 17 Retrieval of Secchi disk depth in offshore marine areas  ... 
doi:10.1117/12.2229161 fatcat:oh2qm3ogkvaddlh3llvltqps54

Field-Based High-Quality Emissivity Spectra Measurement Using a Fourier Transform Thermal Infrared Hyperspectral Imager

Lyuzhou Gao, Liqin Cao, Yanfei Zhong, Zhaoyang Jia
2021 Remote Sensing  
Emissivity information derived from thermal infrared (TIR) hyperspectral imagery has the advantages of both high spatial and spectral resolutions, which facilitate the detection and identification of the  ...  was carried out to obtain the useful TIR hyperspectral imagery in the field. (2) The data quality of the original TIR hyperspectral imagery was improved through preprocessing operations, including band  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13214453 fatcat:czkfxrmgebbn3dxltiv3xxm4by

GPU implementation of target and anomaly detection algorithms for remotely sensed hyperspectral image analysis

Abel Paz, Antonio Plaza, Bormin Huang, Antonio J. Plaza, Joan Serra-Sagristà, Chulhee Lee, Yunsong Li, Shen-En Qian
2010 Satellite Data Compression, Communications, and Processing VI  
Automatic target and anomaly detection are considered very important tasks for hyperspectral data exploitation.  ...  hyperspectral data.  ...  The map is centered at the region where the towers collapsed, and the temperatures of the targets range from 700F to 1300F.  ... 
doi:10.1117/12.860213 fatcat:54z7sp4qbzb2va5nghw7dtac4a

Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring

Moritz Kirsch, Sandra Lorenz, Robert Zimmermann, Laura Tusa, Robert Möckel, Philip Hödl, René Booysen, Mahdi Khodadadzadeh, Richard Gloaguen
2018 Remote Sensing  
We describe an integrated workflow to produce a geometrically and spectrally accurate combination of a Structure-from-Motion Multi-View Stereo point cloud and hyperspectral data cubes in the visible to  ...  The image data are processed using spectroscopic and machine learning algorithms to generate meaningful 2.5D (i.e., surface) maps that are available to geologists on the ground just shortly after data  ...  iii) the augmentation of topographic and spectral surface data with subsurface information from drill-cores and/or geophysical data to build fully 3D structural and mineral resource models (e.g., [122  ... 
doi:10.3390/rs10091366 fatcat:477dzvii4rc63hfmm6ifxcb26y
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