ID: 58533
Title: How the energy policy of the United States is keeping new coal-fired power plants at a standstill
Author: Robert A Beck
Editor: Gu Dazhao
Year: 2013
Publisher: John Wiley & Sons, Inc., Vol 1, Issue 1, 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Corner Stone - the official journal of the world coal industry
Keywords: None
Abstract: None
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58532
Title: Mission possible: An environmentalist looks at coal and climate
Author: Armond Cohen
Editor: Gu Dazhao
Year: 2013
Publisher: John Wiley & Sons, Inc., Vol 1, Issue 1, 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Corner Stone - the official journal of the world coal industry
Keywords: None
Abstract: None
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58531
Title: Social development through coal energy
Author: Fred Palmer
Editor: Gu Dazhao
Year: 2013
Publisher: John Wiley & Sons, Inc., Vol 1, Issue 1, 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Corner Stone - the official journal of the world coal industry
Keywords: None
Abstract: None
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58530
Title: "Climate change will leave no city untouched"
Author: Astrid Dahn
Editor: Jorg-Rainer Zimmermann (jz)
Year: 2013
Publisher: German Wind Energy Association, No3, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: New Energy - magazine for renewable energy
Keywords: Global warming
Abstract: Klaus Topfer, director of the Institute for Advanced Sustainability Studies (IASS), talks to new energy about the difficulties facing African and Asian megacities in the fight against global warming.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58529
Title: Sink or swim
Author: Astrid Dahn
Editor: Jorg-Rainer Zimmermann (jz)
Year: 2013
Publisher: German Wind Energy Association, No3, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: New Energy - magazine for renewable energy
Keywords: Climate change
Abstract: Floods, storms and heat waves caused by climate change will bring dramatic changes to our world in the coming decades. Cities will be affected the most. Policymakers and scientists are developing strategies to help as adapt.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58528
Title: Cities in danger
Author: Jorg-Rainer Zimmermann
Editor: Jorg-Rainer Zimmermann (jz)
Year: 2013
Publisher: German Wind Energy Association, No3, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: New Energy - magazine for renewable energy
Keywords: Global warming,
Abstract: Large conurbations are of vital importance to human culture. If global warming is not halted, climate change will have a devastating impact on them.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58527
Title: Scapegoats for a burned-out system
Author: Silviu Mihai
Editor: Jorg-Rainer Zimmermann (jz)
Year: 2013
Publisher: German Wind Energy Association, No3, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: New Energy - magazine for renewable energy
Keywords: Energy price
Abstract: In Bulgaria, massive protests against rising energy prices are spiralling into an unprecedented political crisis. Corrupt leaders are blaming renewables for the hefty electricity bills.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58526
Title: Renewable UK offshore Wind 2013: a major event for the world ' s biggest offshore market
Author: Nick Medic
Editor: Jorg-Rainer Zimmermann (jz)
Year: 2013
Publisher: German Wind Energy Association, No3, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: New Energy - magazine for renewable energy
Keywords: None
Abstract: None
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58525
Title: "Opportunities for pioneers"
Author: Isaach Bah
Editor: Jorg-Rainer Zimmermann (jz)
Year: 2013
Publisher: German Wind Energy Association, No3, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: New Energy - magazine for renewable energy
Keywords: Renewables
Abstract: The German environment ministry is helping Greece to expand its use of renewables. Jurgen Becker, permanent secretary for the environment, spoke to new energy about the plans.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58524
Title: 2014 US budget: more renewables funding
Author: None
Editor: Jorg-Rainer Zimmermann (jz)
Year: 2013
Publisher: German Wind Energy Association, No3, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: New Energy - magazine for renewable energy
Keywords: None
Abstract: None
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58523
Title: Combining hyperspectral and radar imagery for mangrove leaf area index modeling
Author: Frankie K K Wong and Tung Fung
Editor: Russell G. Congalton
Year: 2013
Publisher: ASPRS, Vol 79, No 5, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Leaf area index (LAI), Vegetation Indices (VIs), triangular vegetation index (TVI),modified chlorophyl absorption ratio index (MCARI,NDVI
Abstract: This study acquired satellite-borne hyperspectral and radar data supplemented with in situ field survey to understand the current biophysical condition of mangrove in Mai Po Ramsar Site of Hong Kong through leaf area index (LAI) modeling by regressing field-measured LAI against vegetation indices (VIs), backscatter, and textural measures. Simple VI regression model revealed that triangular vegetation index (TVI) and modified chlorophyl absorption ratio index (MCARI) had the best relationship (r2 = 0.68) while the commonly-used NDVI had the poorest relationship (r2 = 0.017) with LAI. Poor correlation was found between measured LAI and radar parameters. Results from stepwise multiple regression suggested that TVI combined with GLCM -derived angular second moment formed the best model (r2 = 0.78) and reduced the estimation error (RMSE) to 0.2. This study has demonstrated that single use of radar parameters cannot effectively map mangrove LAI. Nonetheless, spectral and radar data are complementary to enhance the mapping.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58522
Title: The influence of multi-season imagery on models of canopy cover: A case study
Author: John W Coulston, Dennis M Jacobs, Chris R King, and Ivey C Elmore
Editor: Russell G. Congalton
Year: 2013
Publisher: ASPRS, Vol 79, No 5, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Tree canopy
Abstract: Quantifying tree canopy cover in a spatially explicit fashion is important for broad-scale monitoring of ecosystems and for management of natural resources. Researchers have developed empirical models of tree canopy cover to produce geospatial products. For subpixel models, percent tree canopy cover estimates (derived from fine-scale imagery) serve as the response variable. The explanatory variables are developed from reflectance values and derivatives, elevation and derivatives, and other ancillary data. However, there is a lack of guidance in the literature regarding the use of leaf-on only imagery versus multi-season imagery for the explanatory variables. We compared models developed from leaf-on only Landsat imagery with models developed from multi-season imagery for a study area of Georgia. There was no statistical difference among models. We suggest that leaf-on imagery is adequate for the development of empirical models of percent tree canopy cover in the Piedmont of the Southeastern United States.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58521
Title: Classification of coffee-forest landscapes using Landsat TM imagery and spectral mixture analysis
Author: Milkaela Schmitt-Harsh, Sean P Sweeney, and Tom P Evans
Editor: Russell G. Congalton
Year: 2013
Publisher: ASPRS, Vol 79, No 5, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Linear spectral mixture analysis (LSMA)
Abstract: This research applies linear spectral mixture analysis (LSMA) to a Landsat TM image, and assesses the value of fraction images (green vegetation, shade, soil) and the thermal band (TM-B6) in discriminating shade-grown coffee systems from forests. Four combinations of TM bands and fraction images were compared, and a maximum likelihood algorithm was used to classify five land cover classes: high-density wood-lands, low-density woodlands, coffee agroforests, crop/pasturelands, and urban settlements. The classification accuracy of each model combination was assessed using both Kappa analyses and quality and allocation disagreement parameters. Results indicate improvements to classification accuracies following inclusion of TM-B6 and fraction images as inputs to the classification; however, only the use of TM-B6 led to significant improvements at the 95 percent confidence level. The highest classification accuracy achieved was 86 percent (Kstandard=0.82), with producer ' s and user ' s accuracy of coffee agroforests reaching 89 percent and 90 percent, respectively, an improvement over previous research aimed at spectrally distinguishing coffee from other woody cover types.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58520
Title: Change detection and deformation analysis in point clouds: Application to rock face monitoring
Author: Macro Scaioni, Riccardo Roncella, and Mario Ivan Alba
Editor: Russell G. Congalton
Year: 2013
Publisher: ASPRS, Vol 79, No 5, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: RGB images,
Abstract: The paper outlines a method a compare two digital surfaces of the same rock face to detect major changes resulting from detached rocks and deformations. A terrestrial laser scanning survey is used for data gathering. After georeferencing, if the cliff has a complex morphology, a 3D segmentation algorithm is applied to split the whole rock surface into more subregions with an almost planar structure. In each subregion the raw point cloud is resampled on a regular grid and multitemporal differences are analyzed. Anomalies in differences, which should be very close to zero if no geometric variations have occurred, are identified with the following purposes: (a) localizing gross changes due to rock detachments, (b) removing global rigid-body displacements, and (c) understanding local cliff deformations. In the case where the rock face is covered by vegetation, this has to be filtered out, e.g., by visual inspection of RGB images co-registered to the point cloud. This paper also describes a procedure to carry out vegetation filtering in automatic way from the analysis of near-infrared images captured by a camera integrated to laser scanner. The application of the full processing pipelines has been tested on a real case study located in the Italian pre-alpine area. Here, after filtering some vegetaion, a total rock fall volume of 0.15 m3 was detected on a cliff of about 375 m2 and within a period of six months.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58519
Title: Histogram curve matching approaches for object-based image classification of land cover and land use
Author: Sory I. Toure, Douglas A Stow, John R Weeks, and Sunil Kumar
Editor: Russell G. Congalton
Year: 2013
Publisher: ASPRS, Vol 79, No 5, May 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Geographic object-based image analysis (GEOBIA)
Abstract: The classification of image-objects is usually done using parametric statistical measures of central tendency and/or dispersion (e.g., mean or standard deviation). The objectives of this study were to analyze digital number histograms of image objects and evaluate classifications measures exploiting characteristic signatures of such histograms. Two histograms matching classifiers wer evaluated and compared to the standard nearest neighbor to mean classifier. An ADS40 airborne multispectral image of San Diego, California was used for assessing the utility of curve matching classifiers in a geographic object-based image analysis (GEOBIA) approach. The classifications were performed with data sets having 0.5 m, 2.5 m and 5m spatial resolutions. Results show that histograms are reliable features for characterizing classes. Also, both histogram matching classifiers consistently performed better than the one based on the standard nearest neighbor to mean rule. The highest classification accuracies were produced with images having 2.5 m spatial resolution.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None