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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.

ID: 59517
Title: None
Author: Ramachandra T V
Editor: None
Year: 2013
Publisher: None
Source: Centre for Ecological Sciences
Reference: None
Subject: None
Keywords: None
Abstract: None
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None

ID: 59516
Title: None
Author: Ramachandra T V
Editor: None
Year: 2013
Publisher: None
Source: Centre for Ecological Sciences
Reference: None
Subject: None
Keywords: None
Abstract: None
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None

ID: 59515
Title: Water Bodies of Uttara Kannada.
Author: Ramachandra T V, Subhash Chandran M D, Joshi N V, Vinay S, Bharath H A, Ganesh Hegde, Gouri Kulkarni.
Editor: Dr. T V Ramachandra
Year: 2014
Publisher: Energy and Wetlands Research Group, CES,
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report: 81, Sahyadri Conservation Series 44
Subject: Water bodies of Uttara Kannada
Keywords: Carrying capacity, river basin, silt yeild
Abstract: Ecological Carrying Capacity provides physical limits as the maximum rate of resource usage and discharge of waste that can be sustained for economic development in the region. This provides theoretical basis with practical relevance for the sustainable development of a region. Carrying Capacity of a river basin refers to the maximum amount of water available naturally as stream flow, soil moisture etc., to meet ecological and social (domestic, irrigation and livestock) demands in a river basin. Monthly monitoring of hydrological parameters reveal that stream in the catchments with good forest (evergreen to semievergreen and moist deciduous forest) cover have reduced runoff as compared to catchments with poor forest covers.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None

ID: 59514
Title: Reclamation of Mine Regions at Bisgod Approaches and Challenges.
Author: T V Ramachandra, M D Subhash Chandran, Setturu Bharath, G R Rao, Vishnu D Mukhri.
Editor: Dr. T V Ramachandra
Year: 2014
Publisher: Energy and Wetlands Research Group, CES
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report 80, Sahyadri Conservation Series 43
Subject: Reclamation of Mine Regions at Bisgod Approaches and Challenges.
Keywords: Mine reclamations, Bisgod, Aprroaches and Challenges
Abstract: Mine reclamation entails restoring landscapes so as to regain its earlier ecological status. Although the process of mine reclamation occurs with the cessation of mining, planning of mine reclamation activities need to be done prior to mining in a region. This helps to provide protection and mitigate the adverse environmental impacts while improving the aesthetics of the area. Mine closure plan needs to focus on the beneficial post closure use to all stakeholders including proximate communities. Mining is a temporary use of a natural resources such as land and are disturbed by the operations that needs to be rehabilitated after completion of mining.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None

ID: 59513
Title: Tree species for planting at the sides and median of the roads in
Author: Ramachandra T V, Harish R Bhat, Gouri Kulkarni.
Editor: Dr. Ramachandra T V
Year: 2014
Publisher: Energy and Wetlands Research Group, CES.
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report 79
Subject: Tree species for planting at the sides and median of the roads in
Keywords: Tree species, Planting at the sides and median, roads in Bengaluru.
Abstract: Bengaluru/Greater Bangalore/ Bruhat Bengaluru/ Bangalore (7737 ' 19.54") E and 1259 ' 09.76" N) is the pricipal administrative, cultural, commercial, industrial, and knowledge capital of Karnataka State. Bangalore city ' s population has increased enormously from 6,537,124 (in 2001) to 9,588,910 (in 2011), amounting to a decadal growth of 46.68%. With this, the population density has increased from as 10, 732 (in 2001) to 13, 392 (in 2011) persons per sq.km. The vegetation of Bangalore was classified as dry deciduous forest-type under the Terminalia-Anogeissus latifolia-Tectona series. The city had enjoyed salubrious climate throughout the year prior to the industrialization era. Land use analysis based on the fusion of Resourcesat-2 MSS data with Cartosat 2 shows that the spatial extent of tree vegetation in Bangalore is 100.02 sq. km. (14.08%)
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None