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ID: 59532
Title: A review of ground -based SAR interferometry for deformation measurement
Author: O. Monserrat, M. Crosetto, G. Luzi
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 93. 40-48 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: SAR, Interferometry, Terrestrial, Deformation, Monitoring, Review
Abstract: This paper provides a review of ground-based SAR (GBSAR) interferometry for deformation measurement. In the first part of the paper the fundamentals of this technique are provided. Then the main data processing and analysis stages needed to estimate deformations starting from the GBSAR observations are described. This section introduces the two types of GBSAR acquisition modes, i.e., continuous and discontinuous GBSAR, and reviews the different GBSAR processing and analysis methods published in the literature. This is followed by discussion of the specific technical aspects of GBSAR deformation measurement. A section then summarizes the pros and cons of GBSAR for deformation monitoring. The last part of the paper includes two reviews: one concerning the GBSAR systems described in the literature, including non-strictly SAR systems and second one addresses the main GBSAR applications.
Location: TE 12 New Biology Building
Literature cited 1: Alba, M., Bernardini, G., A., Ricci., P.P., Roncoronia, F., Scaioni, , M., Valgoic., P., Zhangd, K., 2008. Measurement of dam deformations by terrestrial interferometric techniques. Int. Arch. Photogramm, Remote Sens. Spatial Inf. Sci.37 (part b1), 133-139. Barla, G., Antolini, F., Barla, M., Mensi, E., Piovono, G., 2010.Monitoring of the Beauregard landslide (Aosta valley, Italy) using advanced and conventional techniques. Eng.Geol.116 (3), 218-235.
Literature cited 2: Berardino, P., Fornaro., G., Lanari., R., Sansosti, E., 2002. A new algorithm for surface deformation monitoring based on small baseline differential SAR Interferograms. IEEE Trans. Geosci. Remote Sens. 40 (11), 2375-2383. Bernardini, G. Ricci, p., Coppi, F., 2007. Aground based microwave interferometer with imaging capabilities for remote measurements of displacements. In: proc. GALAHAD Workshop Within the 7th Geomatic Week and the 3rd International Geotelematics Fair (GlobalGeo) , Barcelona (Spain) ,20-23 February.

ID: 59531
Title: Assessment of NIR-red algorithms for observation of chlorophyll-a in highly turbid inland waters in China.
Author: Changchun Huang, Jun Zou, Yunmei Li, Hao Yang, Kun Shi, Junsheng Li, Yanhua Wang, Xia Chena , Fa Zheng.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 93. 29-39 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Optimal spectral band, Optical properties, Chinese inland waters, MERIS, GOCI, Two-band and three -band algorithm
Abstract: It has been proven that empirical (two-band) and semi-analytical (three-band) algorithms based on near infrared and red (NIR-red) wavelengths can be used for estimating Cchl-a in a highly turbid productive waters with satisfactory performance. However, the optimal spectral bands and parameters of algorithms vary significantly because of the different optical properties of datasets. Using a comprehensive dataset, we validate and evaluate the applicability of empirical and semi-analytical algorithms for deriving Cchl-a for inland lakes in China. The comprehensive dataset contains 993 in situ samples collected from five inland lakes in China between 2006-2013. The optimal algorithms, Rrs (706)/Rrs (685) and [Rrs?? (685)- Rrs?? (707)] Rrs (722) , are calibrated using an in situ dataset, with root mean square mean square errors (RMSEs) of 10.66mg/m? and 8.47mg/ m? , respectively. The RMSE of the NIR-red two-and three-band algorithms for the validation data are 11.1mg/ m? and 8.82mg/ m?, respectively. The RMSE increase to 13.17mg/ m? and 12.58mg/ m? when the algorithms are applied to Medium Resolution Imaging Spectrometer (MERIS) and Geostationary ocean Color Imager (GOCI) centre wavelengths. The RMSEs for the validation data decrease to 8.80mg/ m? and 7.78mg/m? when the optimal spectral band (?1) shifts to 671 nm. The RMSE decrease to 10.03 mg/ m? and 9.09mg/ m? as a result of optimization of the model parameters when algorithms are applied to MERIS and GOCI centre wavelengths. The shifting of the optimal spectral band (the difference between 671 nm and 685 nm) increase the RMSEs from 8.80mg/ m? to 11.1mg/ m? for the two band algorithm. This indicates that the three -band algorithm is much more suitable for high-turbidity water than the two -band algorithm. Nevertheless, the two-band model can be used for extremely turbid and low Cchl-a waters for analysis of the retrieval results after cluster analysis of remote sensing reflectance. Meanwhile, shifting of the optimal spectral bands (?1) is highly correlated with the total suspended matter concentration (CTSM) (the Pearson correlation coefficient between ?1 and CTSM can reach 0.95). In conclusion, the results indicate that both the two-and three-band algorithms have high potential applicability for derivation of Cchl-a in high -turbidity inland waters in China.
Location: TE 12 New Biology Building
Literature cited 1: Abd-Elrahman, A., Croxton, M., Pande-Chettri, R., Toor, G.S., Smith, S., Hill., j., 2011.In situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system. ISPRS J. Photogrammetry Remote Sens.66, 463-472. Astoreca, R., Doxaran, D., Ruddick, K., Rousseau, V., Lancelot, C., 2012. Influence of suspended particle concentration, composition and size on the variability of inherent optical properties of the Southern North Sea. Continental Shelf Res.35, 117-128.
Literature cited 2: Cleveland, J.S., Weidemann, A.D., 1993. Quantifying absorption by aquatic particles, a multiple scattering correction for glass-fiber filters. Limnol. Oceanorg. 38, 1321-1327. Chen, W.M., Chen, K.N., Hu., Y.H., 2006. Discussion on possible error for Phytoplankton chlorophyll -a concentration analysis using hot-ethanol extraction method .J., Lake Sci.18, 550-552.

ID: 59530
Title: Historical forest biomass dynamics modelled with Landsat spectral trajectories
Author: Cristina Gomez, Joanne C. White, Michael A. Wulder, Pablo Alejandro
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 93. 14-28 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Remote sensing, Time Series, Retrospective, Aboveground biomass, Landsat, Wavelet transform, Dynamic Time Warping, National Forest Inventory, Spain.
Abstract: Estimation of forest aboveground biomass (AGB) is informative of the role of forest ecosystems in local and global carbon budgets. There is a need to retrospectively estimate biomass in order to establish a historical baseline and enable reporting of change. In this research, we used temporal spectral trajectories to inform on forest successional development status in support of modeling and mapping of historic AGB for Mediterranean pines in central Spain. AGB generated with ground plot from the Spanish National Forest Inventory (NFI) , representing two collection periods (1990 and 2000) , are linked with static and dynamic spectral data as captured by Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) sensors over a 25 year period (1984-2009). The importance of forest structural complexity on the relationship between AGB and spectral vegetation indices is revealed by the analysis of wavelet transforms. Two-dimensional (2D) wavelet transforms support the identification of spectral trajectory patterns of forest stands that in turn, are associated with traits of individual NFI plots, using flexible algorithm sensitivity to capturing time series similarity. Single-data spectral indices, temporal trajectories, and temporal derivatives associated with the succession are used as input variables to non-parametric decision trees for modelling, estimation, and mapping of AGB and carbon sinks over the entire study area. Results indicate that patterns of change found in Normalized Difference vegetation index (NDVI) values are associated and relate well to classes of forest AGB. The Tasseled Cap Angle (TCA) index was found to be strongly related with forest density, although the related patterns of change had little relation with variability in historic AGB. By scaling biomass models through small (~2.5 ha) spatial objects defined by spectral homogeneity , the AGB dynamics in the period 1990-2000 are mapped (70% accuracy when validated with plot values of change ), revealing an increase of 18% in AGB irregularly distributed over 814km? of pines. The accumulation of c calculated in AGB was on average 0.65 t ha?? y?? ,equivalent to a fixation of 2.38 t ha?? y?? of carbon dioxide.
Location: TE 12 New Biology Building
Literature cited 1: Aach, J., Church, G.M., 2001. Aligning gene expression times series with time warping algorithms. Bioinformatics 17 (6), 495-508. Andersson, K., Evans, T.P., Richards, K.R., 2009. National forest carbon inventories: policy needs and assessment capacity. Climat.Change 93, 69-101.
Literature cited 2: Baatz, M., Schape, M., 2000. Multiresolution segmentation -an optimization approach for high quality multi-scale image segmentation. In: Strobl.,J., Blaschke, T., Griesebner, G., (Eds), Angewandte Geographische In formations. Verarbeitung XII .Wichmannverlag, Karlsruhe, pp.12-23. Baccini, A., Friedl, M.A., Woodcock, C.E., Warbington, R., 2004.Forest biomass estimation overregionalscalesusingmultisourcedata.Geophys.Res.Lett.31L10501,http://dx.doi.org/10.1029/2004GLO19782

ID: 59529
Title: A three-band semi-analytical model for deriving total suspended sediment concentration from HJ-1A/CCD data in turbid coastal waters
Author: Jun Chen, Tingwei Cui, Zhongfeng Qiu, Changsong Lin
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 93. 1-13 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Remote Sensing, Atmospheric correction, HJ-1A/CCD imagery, Total suspended sediment, Coastal waters.
Abstract: The accurate assessment of total suspended sediment (TSM) concentration in coastal waters by means of remote sensing is quite challenging, due to the optical complexity and significant variability of these waters. In this study, three-band semi-analytical TSM retrieval (TSTM) model with HJ-1A/CCD spectral bands was developed for the retrieval of TSM concentration from turbid coastal waters. This model was calibrated and validated by means of one calibration dataset and three independent validation datasets obtained from three different turbid waters. It was found that the TSTM model may be used to retrieve accurate TSM concentration data from highly turbid waters without the spectral slope of the model requiring further optimization. Finally, the TSM concentration data were quantified from the HJ-1A/CCD images after atmospheric correction using the dark -object subtraction technique. Upon comparing the model -derived and field-measured TSM concentration data, it was observed that the TSTM model produced <29% uncertainty in deriving TSM concentration from the HJ-1A/CCD data. These findings imply that the TSTM model may be used for the quantitative monitoring of TSM concentration in coastal waters, provided that the atmospheric correction scheme for the HJ-1A/CCD imagery is available.
Location: TE 12 New Biology Building
Literature cited 1: Aguirre-Gomez, R., 2000. Detection of total suspended sediments in the North Sea using AVHRR and ship data. Int. J. Remote Sens. 21(8), 1583-1596. Ahn, Y.-H., Shanmugam, P., 2006. Detecting the red tide algal blooms from satellite ocean color observations in optically complex Northeast-Asia Coastal waters. Remote Sens. Environ.103, 419-437.
Literature cited 2: Bailey, S.W., Werdell, P.J., 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sens. Environ.102, 12-23. Binding, C.E. Jerome, J.H., Bukata, R.P., Booty, W.G.,2008. Spectral absorption properties of dissolved and particulate matter in Lake Erie. Remote Sens. Environ.112, 1702-1711.

ID: 59528
Title: Data matching of building polygons at multiple map scales improved by contextual information and relaxation
Author: Xiang Zhang, Tinghua Ai, Jantien Stoter, Xi Zhao.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 147-163 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Data matching, Multi-scale databases, Contextual information, Relaxation labeling, Cartographic generalization.
Abstract: The aim of matching spatial data at different map scales is to find corresponding objects at different levels of detail (LODs) that represent the same real-world phenomena. This is a prerequisite for integrating, evaluating and updating spatial data collected and maintained at various scales. However, matching spatial data is not straightforward due to the ambiguities caused by problems like many-to -many correspondence, non-systematic displacement and different LODs between data sets. This paper proposes an approach to matching areal objects (e.g. buildings) based on relaxation labeling techniques widely applied in pattern recognition and computer vision. The underlying idea is to utilize contextual information (quantified by compatibility coefficient) in an iterative process, where the ambiguities are reduced until a consistent matching is achieved. This paper describes (1) a domain -specific extension to previous relaxation schemes and (2) a new compatibility coefficient that exploits relative relationships between areal object pairs in spatial data. Our approach were validated through extensive experiments using building data sets at 1: 10k and 1:50k as an example. Our contextual approach showed superior performance against a non-contextual approach in general and especially in ambiguous situations. The proposed approach can also be applied to matching other areal features and/or for a different scale range.
Location: TE 12 New Biology Building
Literature cited 1: Balley, S., Parent, C., Spaccapietra, S., 2004. Modelling geographic data with multiple representations. Int. J. Geogr. Inf.Sci.18 (4), 327-352. Bard, S., 2004. Quality assessment of cartographic generalisation. Trans. GIS 8 (1), 63-81
Literature cited 2: Beeri, C., Doytsher, Y., Kanza, Y., Safra, E., Sagiv, Y., 2005. Finding corresponding objects when integrating several geo-spatial datasets. In: Proceedings of the 13th Annual ACM International Workshop on Geographic Information Systems. ACM, New York, NY, USA, pp.87-96. ISBN 1-59593-146-5 Belongie, S., Malik., J., Puzicha., J., 2002. Shape matching and object recognition using shape contexts. IEEE Trans. Pattern Anal. Mach.Intell.24 (4), 509-522.

ID: 59527
Title: Characterization of aboveground biomass in an unmanaged boreal forest using Landsat temporal segmentation metrics
Author: Ryan J. Frazier, Nicholas C. Coops, Michael A. Wulder, Robert Kennedy.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 137-146 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Landsat, Multitemporal, LiDAR, Forest, Random forests, Boreal, Canada.
Abstract: Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadian boreal forest context using Landsat imagery and investigate the importance of different types of temporal trajectory metrics . Results indicated that Wetness was the best Tasseled Cap (TC) component for above ground biomass estimation (R?= 50%, RMSE%=56%), and the combination of simple and complex metrics from all TC components produced the highest R? (62%) and lowest RMSE% (49%) . Using a similar combination of variables, other forest attributes were estimated equally reliably with lower RMSE% values. The most important temporal trajectory metrics were simple and described TC component values at each point of change in the temporal trajectory, however the most important variables overall were environment al variables.
Location: TE 12 New Biology Building
Literature cited 1: Andrew, M.E., Wulder, M.A., Coops, N.C., 2012. Identification of de facto protected areas in boreal Canada. Biol. Conserv. 146 (1), 97-107. Bater, C.W., Wulder, M.A., Coops, N.C., Hopkinson, C., Coggins, S.B., Arsenault, E., Beaudoin A., Guindon, L., Hall, R.J., Villemaire, P., Woods, M.2011. Model development for the estimation of aboveground biomass using a lidar based sample of Canada ' s boreal fire. Silvilaser 2011. Oct 16-19, 2011. Hobart, Tasmania, Australia
Literature cited 2: Bond-Lamberty, B., Peckham, S.D., Ahl, D.E., Gower, S.T., 2007. Fire as the dominant driver of central Canadian boreal forest carbon balance. Nature 450, 89-92. Brassard, B.W., Chen, Y.H., 2008. Effects of forest type and disturbance on diversity of coarse woody debris in boreal forest. Ecosystems 11 (7), 1078-1090.

ID: 59526
Title: Optimising three -band spectral indices to assess aerial N concentration, N uptake and aboveground biomass of winter wheat remotely in China and Germany
Author: Fei Li, Bodo Mistele, Yuncai Hu, Xinping Chen, Urs Schmidhalter.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 112-123 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Band selection, Nitrogen, N status, Hyperspectral indices, Remote sensing, Precision Farming.
Abstract: Remotely and accurately quantifying the canopy nitrogen status in corps is essential for regional studies of N budgets and N balances. In this study, we optimized three-band spectral algorithms to estimate the N status of winter wheat. This study extends previous work to optimize the band combinations further and identifies the optimised central bands and suitable bandwidths of the three-band nitrogen planar domain index (NPDI) for estimating the aerial N uptake, N concentration and aboveground biomass. Analysis of the influence of bandwidth change on the accuracy of estimating the canopy N status and aboveground biomass indicated that the suitable bandwidths for optimized central bands were 37 nm at 846 nm, 13 nm at 738 nm and 57 nm at 560 nm assessing the aerial N uptake and were 37 nm at 958 nm, 21 nm, at 696 nm, and 73 nm at 578 nm for the assessment of the aerial N concentration and were 49 nm at 806 nm, 17 nm at 738 nm and 57 nm at 560 nm for the estimation of aboveground biomass. The optimized three-band NPDI could consistently and stably estimate the aerial N uptake and above- ground biomass of winter wheat in the vegetative stage and the aerial N concentration in the reproductive stage compared to the fixed band combinations. With suitable bandwidths, the broadband NPDI demonstrated excellent performance in estimating the aerial N concentration, N uptake and biomass. We conclude that the band-optimised algorithm represents a promising tool to measure the improved performance of the NDPI in estimating the aerial N uptake and biomass in the vegetative stage and the aerial N concentration in the reproductive stage, which will be useful for designing improved nitrogen diagnosis systems and for enhancing the applications of ground -and satellite -based sensors.
Location: TE 12 New Biology Building
Literature cited 1: Broge, N.H., Mortensen, J.V., 2002. Deriving green crop area index and canopy cholorophyll density of winter wheat from spectral reflectance data. Int. J. Remote Sens. 81(1), 45-57. Cammarano, D., Fitzgerald, G., O ' Leary, G., Chen., D., Basso, B., Grace, P., 2011. Use of the Canopy Cholorophyll Content Index (CCCI) for the remote estimation of wheat nitrogen content in rainfed environments. Agron .J.103 (6), 1597-1603.
Literature cited 2: Cassman, K., Doberman, G.A., Walters, D.T., 2002. Agroecosystems, nitrogen use efficiency, and nitrogen management. Ambio 31 (2), 132-140. Chen, X.P., Zhang, F.S., Romheld, V., Horlacher., D., Schulz, R., Boning-Zilkens, M., Wang, P., Claupein, W., 2006. Synchronizing N supply from soil and fertilizer and N demand of winter wheat by an improved Nmin method. Nutr. Cycl. Agroecosyst. 74, 91-98.

ID: 59525
Title: An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy.
Author: Han Hu, Yulin Ding, Qing Zhu, Bo Wu, Hui Lin, Zhiqiang Du, Yeting Zhang, Yunsheng Zhang.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 98-111 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Airborne laser scanning, Point clouds, Filtering, Bending energy, Thin plate spline, DEM.
Abstract: The filtering of point clouds is a ubiquitous task in the processing of airborne laser scanning (ALS) data; however, such filtering processes are difficult because of the complex configuration of the terrain features. The classical filtering algorithms rely on the cautious tuning of parameters to handle various landforms. To address the challenge posed by the bundling of different terrain features into a single dataset and to surmount the sensitivity of the parameters, in this study, we propose an adaptive surface filter (ASF) for the classification of ALS point clouds. Based on the principle that the threshold should vary in accordance to the terrain smoothness, the ASF embeds bending energy, which quantitatively depicts the local terrain structure to self-adapt the filter threshold automatically. The ASF employs a step factor to control the data pyramid scheme in which the processing window sizes are reduced progressively, and the ASF gradually interpolates thin plate spline surfaces toward the ground with regularization to handle noise. Using the progressive densification strategy, regularization and self-adaption, both performance improvement and resilience to parameter tuning are achieved. When tested against the benchmark datasets provided by ISPRS, the ASF Performs the best in comparison with all other filtering methods, yielding an average total error of 2.85% when optimized and 3.67% when using the same parameter set.
Location: TE 12 New Biology Building
Literature cited 1: Axelsson, P., 2000. DEM generation from laser scanner data using adaptive TIN models .Int. Arch. Photogr., Remote Sens. Spatial Inf. Sci.33 (Part B4), 111-118. Chen, C., Li., Y., Li., W., Dai., H., 2013. A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data. ISPRS J. Photogr. Remote Sens.82, 1-9.
Literature cited 2: Chen, Q., Gong, P., Baldocchi, D., Xie, G., 2007. Filtering airborne laser scanning data with morphological methods. Photogr. Eng. Remote Sens.73 (2), 175-185. Congalton, R.G., 1991. A review of assessing the accuracy of classification of remotely sensed data. Rem.Sens. Environ.37 (1), 35-46.

ID: 59524
Title: Unmanned aerial systems for photogrammetry and remote sensing: A review
Author: I. Colomina, P. Molina.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 79-97 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: UAV, Review, Photogrammetry, Remote sensing
Abstract: We discuss the evolution and state-of-the art of the use of Unmanned Aerial Systems (UAS) in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely -Piloted Aerial Systems , Unmanned Aerial, Vehicles or simply , drones are a hot topic comprising a diverse array of aspects including technology , privacy rights , safety and regulations , and even war and peace. Modern Photogrammetry and remote sensing identified the potential of UAS-sourced imagery more than thirty years ago. In the last five years, these two sister disciplines have developed technology and methods that challenge the current aeronautical regulatory framework and their own traditional acquisition and processing methods. Navety and ingenuity have combined off -the -shelf, low -cost equipment with sophisticated computer vision, robotics, and geomatic engineering. The results are cm-level resolution and accuracy products that can be generated even with cameras costing a few -hundred euros. In this review article , following a brief historic background and regulatory status analysis , We review the recent unmanned aircraft, sensing , navigation, orientation and general data processing developments for UAS photogrammetry and remote sensing with emphasis on the nano-micro -mini UAS segment.
Location: TE 12 New Biology Building
Literature cited 1: ERSG, 2013. Roadmap for the integration of civil Remotely -Piloted Aircraft Systems into the European Aviation Systems. Technical Report. European RPAS Steering Group. Essen, H., Johannes, W., Stanko, S., Sommer, R., Wahlen, A., Wilcke, J., 2012. High resolution W-band UAV SAR, In: 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22-27 July 2012, pp 5033-5036. http://dx.doi.org/10.1109/GARSS.2012.6352480
Literature cited 2: Everaerts, J. 2009. NEWPLATFORMS-Unconventional Platforms (Unmanned Aircraft Systems) for Remote Sensing. Technical Report 56. European Spatial Data Research (EuroSDR). Everaerts, J., Lewyckyj, N., 2011. Obtaining a permit -to -fly for a HALE-UAV in Belgium. ISPRS -Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci. XXXVIII -1/C22, 1-5.

ID: 59523
Title: Tomographic airborne ground penetrating radar imaging: Achievable spatial resolution and on-field assessment.
Author: Ilaria Catapano, Lorenzo Crocco, Yvonne Krellmann, Gunnar Triltzsch, Francesco Soldovieri.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 69-78 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Airborne GPR, Inverse scattering, Microwave tomography
Abstract: Ground Penetrating Radar (GPR) airborne systems are gaining an increasing attention as effective monitoring tools capable of underground investigation of wide areas. With respect to this frame, the paper deals with a reconstruction approach specifically designed to image buried targets from airborne gathered scattered field data. The role of the measurement configuration is investigated in order to address the practical problem of how multi-monostatic and multi-frequency data should be gathered, in terms of synthetic aperture length and frequency range, and how the available data affect the achievable reconstruction capabilities. Such an analysis allows us to evaluate the performance of the reconstruction approach in terms of transversal and depth resolution limits. Finally, an experimental validation of the approach is performed by processing real data.
Location: TE 12 New Biology Building
Literature cited 1: Alberti, G., Ciofaniello, L., Galiero, G., Persico, R., Sacchettino, M., Signore, G., Vetrella, S., 2003. Experimental results from a stepped frequency GPR. Ann. Geophys. 46 (4), 707-717 Bertero, M., Boccacci, P., 1998. Introduction to Inverse Problems in Imaging. Institute of Physics, Bristol Philadelphia, UK.
Literature cited 2: Bradford, J., Dickins, D., Brandvik. P., 2010. Assessing the potential to detect oil spills in and under snow using ground- penetrating radar. Geophysics 75 (2), G1-G12. Bucci, O., Crocco, L., Isernia, T., Pascazio, V., 2001. Subsurface inverse scattering problems: quantifying, qualifying, and achieving, the available information. IEEE Trans.Geosci.Rem.Sens. 39 (11), 2527-2538.

ID: 59522
Title: Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio -temporal MRF model.
Author: Qing Cheng, Huanfeng Shen, Liangpei Zhang, Qiangqiang Yuan, Chao Zeng.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 54-68 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Cloud removal, Information reconstruction, Spatio-temporal MRF, Similar pixel replacement, Multitemporal, Remotely sensed image.
Abstract: Cloud cover is generally present in remotely sensed images, which limits the potential of the images for ground information extraction. Therefore, removing the clouds and recovering the ground information for the cloud -contaminated images is often necessary in many applications. In this paper, an effective method based on similar pixel replacement is developed to solve this task. A missing pixel is filled using an appropriate similar pixel within the remaining region of the target image. A multitemporal image is used as the guidance to locate the similar pixels. A pixel -offset based spatio -temporal Markov random fields (MRF) global function is built to find the most suitable similar pixel. The proposed method was tested on MODIS and Landsat images and their land surface temperature products, and the experiments verify that the proposed method can achieve highly accurate results and is effective at dealing with the obvious atmospheric and seasonal differences between multitemporal images
Location: TE 12 New Biology Building
Literature cited 1: Boykov, Y., Veksler, O., Zabih, R., 2001. Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal, Mach.Intell. 23 (11), 1222-1239. Chavez Jr, P.S., 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sens. Environ. 24 (3), 459-479.
Literature cited 2: Chen, J. Zhu, X., Vogelmann, J.E., Gao. F., Jin., S., 2011. A simple and effective method for filling gaps in Landsat ETM+SLC-off images. Remote Sens. Environ. 115 (4), 1053-1064. Cheng, Q., Shen, H.F., Zhang, L.P., Li, P.X.2013. Inpainting for remotely sensed images with a multichannel non-local total variation model. IEEE Trans. Geosci. Remote Sens. (doi: 10.1109/TGRS.2012.2237521).

ID: 59521
Title: Discovering repetitive patterns in fa?ade images using a RANSAC- style algorithm
Author: Kumpee Teeravech, Masahiko Nagai, Kiyoshi Honda, Matthew Dailey
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 38-53 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Fa?ade segmentation, RANSAC, 3D building modeling.
Abstract: In this paper, we present an algorithm that automatically decomposes the fa?ade images of buildings into floors and tiles by discovering the repetitive patterns of the dominant structures, such as windows and balconies. Our algorithm follows a histogram -based approach that analyzes the accumulated horizontal and vertical histogram profiles of window gradients and edges. In this study, a histogram is viewed as a series of noisy wave cycles, where a wave cycle represents that approximated position and dimensions of a window. Therefore, the dominant frequency of the histogram should be highly related to the windows. The repetitive pattern that represents these windows is then discovered from the dominant frequency by iteratively fitting candidate sine waves using a RANSAC-styled algorithm. Finally, the splitting lines are positioned in the valleys of the resultant wave. We evaluate our algorithm using the publicly available fa?ade image database, and the results demonstrate that our proposed algorithm performs well. Comparisons between the proposed algorithm and several baseline techniques are also evaluated and discussed.
Location: TE 12 New Biology Building
Literature cited 1: Alexander, C., Smith-Voysey, S., Jarvis, C., Tansey. K., 2009.Integrating building footprints and LiDAR elevation data to classify roof structures and visualise buildings. Comput. Environ. Urban Syst. 33 (4), 285-292. Baillard, C., Zisserman, A., 2000. A plane -sweep strategy for the 3D reconstruction of buildings from multiple images. In: ISPRS Congress and Exhibition.
Literature cited 2: Bredif, M., Tournaire, O., Vallet, B., Champion, N., 2013. Extracting Polygonal building footprints from digital surface models: a fully -automatic global optimization framework. ISPRS j. Photogramm. Remote Sens 77 (0), 57-65. Burochin, J.-P., Tournaire, O., Paparoditis, N., 2009. An unsupervised hierarchical segmentation of a fa?ade building image in elementary 2D- models. In: Stilla, U., Rottensteiner, F., Paparoditis, N. (Eds), proceeding of the City Models, Roads and Traffic (CMRT09).pp.223-228.

ID: 59520
Title: Remote sensing of alpine lake water environment changes on the Tibetan Plateau and surroundings: A review.
Author: Chunqiao Song, Bo Huang, Linghong Ke, Keith S. Richards
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 26-37 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Tibetan Plateau, Lake, Remote sensing, Glacial lake, Climate change.
Abstract: Alpine lakes on the Tibetan Plateau (TP) are key indicators of climate change and climate variability. The increasing availability of remote sensing techniques with appropriate spatiotemporal resolutions, broad coverage and low costs allows for effective monitoring lake changes on the TP and surroundings and understanding climate change impacts, particularly in remote and inaccessible areas where there are lack of in situ observations. This paper firstly introduces characteristics of Tibetan lakes, and outlines available satellite observation platforms and different remote sensing water-body extraction algorithms. Then , this paper reviews advances in applying remote sensing methods for various lake environment monitoring, including lake surface extent and water level, glacial lake and potential outburst floods , lake ice phenology , geological , or geomorphologic evidences of lake basins, with a focus on the trends and magnitudes of lake area and water-level change and their spatially and temporally heterogeneous patterns. Finally we discuss current uncertainties or accuracy of detecting lake area and water-level changes from multi-source satellite data and on-going challenges in mapping characteristics of glacial lakes using remote sensing. Based on previous studies on the relationship between lake variation and climate change , it is inferred that the climate-driven mechanisms of lake variations on the TP still remain unclear and require further research.
Location: TE 12 New Biology Building
Literature cited 1: Abshire, J.B., Sun., X., Riris, H., Sirota, J.M., McGarry, J.F., Palm. S., Yi. D., Liiva, P., 2005. Geoscience Laser Altimeter System (GLAS) on the ICESat Mission: on-orbit measurement performance. Geophys. Res. Lett. 32, L2 1 S02. Allen, S., Schneider, D., Owens, I., 2009. First approaches towards modelling glacial hazards in the Mount Cook region of New Zealand ' s Southern Alps. Nat. Hazard. Earth Syst. Sci.9, 481-499.
Literature cited 2: Bagli, S., Soille, P., Fermi, E., 2004. Automatic delineation of shoreline and lake boundaries from Landsat Satellite images. In: Proceedings of initial ECOIMAGINE GI and GIS for Integrated Coastal Management, Seville, pp 13-15. Bajracharya, S.R., Mool, P.K., Shrestha, B.R., 2007. Impact of Climate Change on Himalayan Glaciers and Glacial Lakes: Case Studies on GLOF and Associated Hazards in Nepal and Bhutan. International Centre for Integrated Mountain Development. (ICIMOD).

ID: 59519
Title: A first in -flight absolute calibration of the Chilean Earth Obsevation Satellite
Author: C. Mattar, J.Hernandez, A. Santamaria-Artigas, C. Duran -Alarcon, L. Olivera-Guerra, M.Inzunza, D. Tapia, E. Escobar-lavin.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 16-25 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Radiometric calibration, Reflectance, Fasat-C, Atmospheric correction, Aerosol, 6S, MODIS.
Abstract: This work describes the first in-flight absolute calibration of the ?Sistema Satelital para la Observacion de la Tierra? (SSOT or Fasat-C). It was performed on January 29th 2013 at Antumapu site located in the southern area of Santiago, Chile. A description of the procedure is presented which includes both ground measurement and atmospheric characterization. The Chilean satellite for Earth observation carries on board a ?New AstroSat Optical Modular Instrument ?(NAOMI) high -resolution pushbroom imager which provides a 1.45 m ground sampling distance in the panchromatic (0.455-0.744?m) channel and a 5.8m ground sampling distance for the green (0.455-0.52?m), blue (0.528-0.588?m), red (0.625-0.695 ?m) and near-infrared (0.758-0.881?m) channels from a 620 km orbit. Radiometric calibration was carried out in order to estimate the land leaving radiance and bidirectional reflectance at the top of the atmosphere. To correct the reflectance data for atmospheric effects, the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) code was used. Aerosol Optical Depth (AOD), water vapor and ozone content were obtained from MOD04, MOD05, and MOD07 products respectively, which are derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) data, .Statistical results such as BIAS, SIGMA, and RMSE were calculated for the comparison between surface reflectance values and in situ measurements. Results show that the overall accuracy of the atmospherically corrected surface reflectance calculated from Fasat-C imagery can be estimated to around ?5%, with R? coefficient of 0.939 between atmospherically corrected reflectance values and in situ measurements. The atmospheric correction applied in this work by combining MODIS data and the 6S radiative transfer code could be used for further calibration of the Fasat -C images, although in situ atmospheric irradiance measurements are necessary to estimate reliable values of surface reflectance. Future validation tasks have been considered for further applications to natural resources management and surface land cover classification.
Location: TE 12 New Biology Building
Literature cited 1: ASTM -2000, 2000, ASTM E490 Solar Constant and Zero Air Mass Solar Spectral Irradiance Tables. ASTM, West Conehohocken, US, pp. 1-16. Baldridge, A.M., Hook, S.J.., Grove, C.I., Rivera, G., 2009. The ASTER spectral library version 2.0.Remote Sens. Environ.113, 711-715.
Literature cited 2: Chander, G., Markham, B.L, Helder, D.L., 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens. Environ.113, 893-903. Clark, B., Suomalainen, J., Pellikka, P., 2011a. An historical empirical line method for the retrieval of surface reflectance factor from multi-temporal SPOT HRV, HRVIR and HRG multispectral satellite imagery. Int. J. Appl. Earth Obs. Geoinf. 13 (2), 292-307.

ID: 59518
Title: Sub-pixel mapping of remote sensing images based on radial basis function interpolation
Author: Qunming Wang, Wenzhong Shi, Peter M. Atkinson.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B.V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing.Vol. 92. 1-15 (2014)
Subject: Photogrammetry and Remote Sensing
Keywords: Downscaling, Sub-pixel mapping (SPM), Super -resolution mapping, Radial basis function (RBF) interpolation, Hard classification.
Abstract: In this paper, a new sub-pixel mapping (SPM) method based on radial basis function (RBF) interpolation is proposed for land cover mapping at the sub-pixel scale. The proposed method consists of sub-pixel soft class value estimation and subsequent class allocation for each sub-pixel. The sub-pixel soft class values are calculated by RBF interpolation. Taking the coarse proportion images as input, an interpolation model is built for each visited coarse pixel. First, the spatial relations between any sub-pixel within a visited coarse resolution pixel and its surrounding coarse resolution pixels are quantified by the basis function. Second, the coefficients indicating the contributions from neighboring coarse pixels are calculated. Finally, the basis function values are weighted by the coefficients to predict the sub-pixel soft class values. In the class allocation process, according to the class proportions and estimated soft class values, sub-pixels are allocated one of each available class in turn. Three remote sensing images were tested and the new method was compared to bilinear -, bicubic-, sub-pixel/pixel spatial attraction model-and Kriging -based SPM methods. Results show that the proposed RBF interpolation -based SPM is more accurate. Hence the proposed method provides an effective new option for SPM.
Location: TE 12 New Biology Building
Literature cited 1: Ardila, J.P., Tolpekin, V.A., Bijker, W., Stein, A., 2011. Markov-random -field -based super -resolution mapping for identification of urban trees in VHR images. ISPRS J. Photogramm. Remote Sens.66, 762-775. Atkinson, P.M., 1997. Mapping sub-pixel boundaries from remotely sensed images. Innov.GIS 4,166-180.
Literature cited 2: Atkinson, P.M., 2005. Sub-pixel target mapping from soft-classified, remotely sensed imagery. Photogram. Eng. Remote Sens. 71 (7), 839-846. Atkinson, P.M., 2009. Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study. Int.J. Remote Sens. 30 (20), 5293-5308.