ID: 58158
Title: A decade of Bt cotton experience in India: pointers for transgenics in pipeline
Author: P Ramasundaram and S Vennila
Editor: P Balaram
Year: 2013
Publisher: Current Science Association, Vol 104, No 6, 25 March 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Current Science
Keywords: None
Abstract: None
Location: TE15, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58157
Title: Public health systems research: evidence-based integrative medicine provides leadership in chronic care
Author: S R Narahari and Aniruddha Kanjarpane
Editor: P Balaram
Year: 2013
Publisher: Current Science Association, Vol 104, No 6, 25 March 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Current Science
Keywords: None
Abstract: None
Location: TE15, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58156
Title: Climate change matters because the oaks cannot move upward
Author: Vinod K Bisht, Chandra P Kuniyal
Editor: P Balaram
Year: 2013
Publisher: Current Science Association, Vol 104, No 6, 25 March 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Current Science
Keywords: None
Abstract: None
Location: TE15, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58155
Title: Is Ladakh a ' Cold desert ' ?
Author: Anup Raj, Punam Sharma
Editor: P Balaram
Year: 2013
Publisher: Current Science Association, Vol 104, No 6, 25 March 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Current Science
Keywords: None
Abstract: None
Location: TE15, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58154
Title: Brahma Kamal - the spiritually revered, scientifically ignore medicinal plant
Author: Manu Pant, Prabhakar Semwal
Editor: P Balaram
Year: 2013
Publisher: Current Science Association, Vol 104, No 6, 25 March 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: Current Science
Keywords: None
Abstract: None
Location: TE15, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58153
Title: Rice monitoring with multi-temporal and dual -polarimetric TerraSAR - X data
Author: Wolfgang Koppe, Martin L Gnyp, Christoph Hutt, Yinkun Yao, Yuxin Miao, Xinping Chen, Georg Bareth
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: TerraSAR-X, SAR, Rice monitoring, Multi-temporal, Biomass estimation, Polarimetry
Abstract: This study assesses the use of TerraSAR-X data for monitoring rice cultivation in the Sanjiang Plain in Heilogjiang Province, Northeast China. The main objective is the understanding of the coherent copolarized X-band backscattering signature of rice at different phenological stages in order ot retrieve growth status.
For this, multi-temporal dual polarimeteric TerraSAR-X High Resolution SpotLight data (HH/VV) as well as single polarized StripMap (VV) data were acquired over the test site. In conjunction with the satellite data acquisition, a ground truth field campaign was carried out.
The backscattering coefficients at HH and VV of the observed fields were extracted on the different dates and analysed as a function of rice phenology to provide a physical interpretation for the co-polarized backscatter response in a temporal and spatial manner. Then, a correlation analysis was carried out between TerraSAR-X backscattering signal and rice biomass of stem, leaf and head to evaluate the relationship with different vertical layers within the rice vegetation.
HH and VV signatures show two phases of backscatter increase, one at the beginning up to 46 days after transplanting and a second one from 80 dyas after transplanting onwards. The first increase is related to increasing double bounce reflection from the surface-stem interaction. Then, a decreasing trend of both polarizations can be observed due to signal attenuation by increasing leaf density. A second slight increase is observed during senescence. Correlation analysis showed a significant relationship with different vertical layers at different phenological stages which prove the physical interpretation of X-ban backscatter of rice. The seasonal backscatter coefficietn showed that X-band is highly sensitive to changes in size, orientation and density of the dominant elements in the upper canopy.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58152
Title: Fuzzy outranking approach: A knowledge-driven method for mineral prospectivity mapping
Author: Maysam Abedi, Gholam-Hossain Norouzi, Nader Fathianpour
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: Knowledge-driven method, Mineral prospectivity mapping, Various geo-data sets, Fuzzy Outranking Method, ASTER Data, Prophyry Deposit
Abstract: This paper describes the application of a new multi-criteria decision making (MCDM) technique called fuzzy outranking to map propectivity for porphyry Cu-Mo deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-data sets are integraetd for mineral prospectivity mapping (MPM). In a case study, 13 layers of the Now Chun deposit located in the Kerman province of Iran are used to explore the region of interest. The outputs are validated using 21 boreholes drilled in this area. Comparison of the output prospectivity map with concentrations of Cu and Mo in the boreholes indicates that the fuzzy outranking MCDM is a useful tool for MPM. The porposed method shows a high performance for MPM thereby reducing the cost of exploratory drilling in the study area.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58151
Title: An application domain extension to CityGML for immovable property taxation: A Turkish case study
Author: Volkan Cagdas
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: Immovable property taxation, CityGML, Application Domain Extension (ADE), Spatial Data Infrastructure, 3D Cadastre
Abstract: It is generally acknowledged that immovable property taxes are one of the main revenue sources for local government. The literature emphasizes that the administration of property taxes needs well-developed inventories or registers that provide complete and accurate records of the taxed properties and their legal-economic attributes. This requirement is generally fulfilled by Spatial Data Infrastructures (SDIs) in which the coordinate exchange and sharing of geo-spatial data is provided by separate registers/information systems such as: cadastral systems, building and address registers. Recently, the Open Geospatial consortium presented a core component of a 3D SDI in the form of an interantional domain standard for representing, storing and exchanging 3D city models. The CityGML allows the semantic and 3D geometrical representation of physical objects but does not deal with the legal and administrative aspects of the city objects which are required for the process of property taxation. This paper outlines the development of an Application Domain Extension (ADE) for the immovable property taxation domain that expands the CityGML data model with the legal and administrative concepts defined in Turkish Law. The study shows that this ADE could be a 3D national data model for municipal information systems and facilitate a more efficient taxation process, as well as providing data for urban planning, facility management and other municipal services.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58150
Title: Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification
Author: Clement Adjorlolo, Onisimo Mutanga, Moses A Cho, Riyad Ismail
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: Spectral resampling, Inter-band correlation, Grass species classification, Random forests
Abstract: In this paper, a user-defined inter-band correlation filter function was used to resample hyperspectral data and thereby mitigate the problem of multicollinearity in classification analysis. The porposed resampling technique convolves the spectra dependence informaiton between a chosen band-centre and its shorter and longer wavelength neighbours. Weighting threshold of inter-band correlation (WTC, Pearson ' s r) was calculated, whereby r = 1 at the band -centre. Various WTC(r=0.99, r=0.95 and r = 0.90) were assessed, and bands with coefficients beyond a chosen threshold were assigned r=0. The resultant data were used in the random forest analysis to classify in situ C3 and C4 grass canopy reflectance. The respective WTC datasets yielded improved classification accuracies (kappa=0.82, 0.79 and 0.76) with less correlated wavebands when compared to resampled Hyperion bands (kappa = 0.76). Overall, the results obtained from this study suggested that resampling o fhyperspectral data should account for the spectral dependence information to improve overall classification accuracy as well as reducing the problem of mulitcollinearity.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58149
Title: Identification of understory invasive exotic plants with remote sensing in urban forests
Author: Michael Shouse, Liang Liang, Songlin Fei
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: Invasive species, Remote sensing, Object based classification, Spatial resolution
Abstract: Invasive exotic plants (IEP) pose a significant threat to many ecosystems. To effectively manage IEP, it is important to efficiently detect their presences and determine their distribution patterns. Remote sensing has been a useful tool to map IEP but its application is limited in urban forests, which are oftent the sources and sinks for IEP. In this study, we examined the feasibility and trandeoffs of species level IEP mapping using multiple remote sensing techniques in a highly complex urban forest setting. Bush honeysuckle (Lonicera maackii), a pervasive IEP in eastern North America, was used as our modeling species. Both medium spatial resolution (MSR) and high spatial resolution (HSR) imagery were employed in bush honeysuckle mapping. The importance of spatial scale was also examined using an up-scaling simulation from the HSR object based classification. Analysis using both MSR and HSR imagery provided viable results for IEP distribution mapping in urban forests. Overall mapping accuracy ranged from 89.8% to 94.9% for HSR techniques and from 74.6% to 79.7% for MSR techniques. As anticipated, classification accuracy reduces as pixel size increases. HSR based techniques produced the most desirable results, therefore is preferred for precise management of IEP in heterogeneous environment. However, the use of MSR techniques should not be ruled out given their wide availability and moderate accuracy.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58148
Title: Linking remotely sensed forage quality estimates from WorldView-2 multispectral data with cattle distribution in a savanna landscape
Author: Fadzai M Zengeya, Onisimo Mutanga, Amon Murwira
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: WorldView-2, Nitrogen, GPS, cattle, Rangeland, Partial least squares regression
Abstract: Remote sensing has recently been used to map forage quality for rangeland management. However, the validity of the remotely sensed forage quality can best be assessed when it connects well with the animal unit. In this study we used the new WorldView-2 multispectral imagery to estimate and map forage quality (nitrogen concentration) as a step to explain GPS based cattle distribution in a rangeland of Southeastern Zimbabwe. Nitrogen concentration was successfully estimated and mapped (Rcv2 = 0.66, relative error = 0.13%) using partial least squares regression (PLSR). The integration of GPS based cattle distribution patterns with forage quality in a GIS showed that cattle locations significantly clustered in areas of high forage quality. The results of this study suggest that new multispectral data with unique band settings such as WorldView-2 improves the estimation and mapping of forage quality in rangelands at landscape level. In addition, our results indicate that remotely sensed forage quality can be used to explain herbivore distribution, particularly cattle grazing patterns in rangelands.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58147
Title: Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data
Author: Xianfeng Zhang, Chunhua Liao, Jonathan Li, Quan Sun
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: HJ-1 satellite, Hyperspectral imager, Fractional vegetation cover, Atmospheric radiation correction, Dimidiate pixel model
Abstract: This paper evaluates the usefulness of the hyperspectral imager (HSI) onboard Chinese HJ-1-A small satellite in vegetation mapping. Fractional vegetation cover (FVC) is an important surface microclimate parameter for characterizing land surface vegetation cover as well as the most effective indicator for assessing desertification and crop growth condition. The HJ-1/HSI data were used to calcualte the narrow band vegetation index by using the in situ plot FVC data, which was then applied in sub-pixel de-composition model for the FVC estimation, namely the dimidiate pixel model. The FVC information in the Shihezi Area, Xinjiang, China was retrieved based on the dimidiate pixel model. Cross-checked with the in situ measured FVC data, a correlation coefficient square of 0.86, and the root mean square error of 10.9% is statistically achieved. The verification indicates that the FVC result retrieved from the HJ-1/HSI data is well correlated with the in situ measurements, demonstrating that the HJ-1/HSI data are promising for studying the potential impacts of global climate change on the arid and semi-arid landscapes.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58146
Title: Urban growth and transport infrastructure interaction in Jeddah between 1980 and 2007
Author: Mohammed Aljoufie, Mark Brussel, Mark Zuidgeest, Martin van Maarseveen
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: urban growth, transportation infrastructure, spatial-temporal analysis, Moran I, LISA, spatial regression, Remote sensing, GIS
Abstract: This paper aims to use spatial statistical tools to explore the reciprocal spatial-temporal effects of transport infrastructure and urban growth of Jeddah city, a fast developing polycentric city in Saudi Arabia. Global spatial autocorrelation (Moran ' s I) and local indicators of spatial association (LISA) are first used to analyze the spatial-temporal clustering of urban growth and transport infrastructure from 1980 to 2007. Then, spatial regression analysis is conducted to investigate the mutual spatial-temporal effects of urban growth and tansport infrastructure. Results indicate a singificant positive global spatial autocorrelation of all defined variables between 1980 and 2007. LISA results also reveal a contant significant spatial association of transport infrastructure expansion and urban growth variables from 1980 to 2007. The results not only indicate a mutual spatial influence of transport infrastructure and urban growth but also reveal that spatial clustering of transport infrastructure seems to be influenced by other factors. This study shows that transport infrastructure is a constant and strong spatial influencing factor of urban growth in the polycentric urban structure that Jeddah has. Overall, this study demonstates that exploratory spatial data analysis and spatial regression analysis are able to detect the spatial-temporal mutual effects of transport infrastructure and urban growth. Further studies on the reciprocal relationship between urban growth and transport infrastructure using the study approach for the case of monocentric urban structure cities are necessary and encouraged.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58145
Title: Spatial-temporal surface deformation of Los Angeles over 2003-2007 from weighted least square DInSAR
Author: Jun Hu, Zhiwei Li, Xiaoli Ding, Jianjun Zhu, Qian Sun
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: Differential SAR interferometry, SBAS, Weighted least squares, deformation
Abstract: The spatial -temporal evolution of surface displacement of Los Angeles area over 2003-2007 is measured with weighted least squares (WLS) small baseline (SB) DInSAR technique. 32 small baseline interferograms are generated from 18 SAR images acquired by the ENVISAT satellite and separated into two independent subsets. An additional interferogram with a longer baseline but good interferometric quality is used to link the two subsets. A time series of displacements with their corresponding standard deviations (STD) are derived from the WLS DInSAR solution by considereing the interferometric displacement variances when determining the weighting scheme.
Both the long-term trends and the seasonal variations of the displacements in the area are determined in the study and validated with GPS measurements from a number of stations of the Southern California Integrated GPS Network (SCIGN). The mean line-of-sight (LOS) displacement velocity map shows up to 3 cm/year of ground motion and up to 10 cm of accumulated displacements in Santa Fe Springs and 8-cm in Pomona voer 2003-2007. Seasona variations are identified in Santa Ana basin, the San Gabriel valley and the Lytle Creek basin, respectively.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None
ID: 58144
Title: Ranking European regions as providers of structural riparian corridors for conservation and management purposes
Author: Nicola Clerici, Peter Vogt
Editor: F van der Meer
Year: 2013
Publisher: Elsevier, Vol 21, April 2013
Source: Centre for Ecological Sciences
Reference: None
Subject: International Journal of Applied Earth Observation and Geoinformation
Keywords: Riparian zones, Ecological corridors, Morphological Spatial Pattern Analysis, Structural connectivity
Abstract: Riparian zones are of utmost importance in providing a wide range of ecological and societal services. Among these, their role in maintaining landscape connectivity through ecolgoical corridors for animals and plants is of major interest from a conservation and management perspective. This paper describes a methodology to identify European regions as providers of structural riparian corridors, and to rank them with reference ot conservation priority. Physical riparian connectors among core habitat patches are identified through a recent segmentation technique, the Morphological Spatial Pattern Analysis. A multi-scale approach is followed by considering different edge distances to identify core and peripheral habitats for a range of hypothetical species. The ranking is performed using a simple set of indices that take into account the degree of environmental pressure and the presence of land protection schemes. An example for enviornmental reporting is carried out using European administrative regions and major rivers to summarize indices value. The approach is based on freely available software and simple metrices which can be easily reproduced in a GIS environment.
Location: TE12, New Biological Sciences, IISc
Literature cited 1: None
Literature cited 2: None