ID: 58702
Title: Geolocation Algorithm for Earth Observation Sensors Onboard the International Space Station.
Author: Changyong Dou, Xiaodong Zhang, Hojin Kim, Jaganathan Ranganathan, Doug Olsen, Huadong Guo.
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 7), pp. 625-638 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Geolocation Algorithm, Earth Obervation Sensors, Interanational Space station.
Abstract: As a near orbit space platform, the International Space Station (ISS) has been increasingly used for Earth observing applications. This paper presents a quaternion-based forward geolocation algorithm for Earth observing sensors onboard the ISS. The input parameters include the orbital state and attitude information of the ISS and the look vector of the sensor . The proposed algorithm agrees with the commercial navigation product. Satellite Tool Kit, within 0.5 m in ideal situations. The inherent uncertainities in ISS attitude and state determinations, and the International Space Station Agriculture Camera (ISSAC) tilting angle were estimated to introduce an error less than 800m. However, the actual geolocation error evaluated using the images obtained by ISSAC is roughly 4km, much greater than the inherent uncertainity and mainly due to (a) delay caused by the Windows operating system in acquiring images, and (b) the misalignment of the ISAAC sensor coordinate system with the ISS body-fixed coordinate system. A preliminary cal/val process using the Google Earth as reference was performed to quantify these two errors, the correction of which improved the geolocation accuracy to 500 m, well within the inherent uncertainity.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58701
Title: The Effects of Data Selection and Thematic Detail on the Accuracy of High Spatial Resolution Wetland Classifications.
Author: Joseph F Knight, Bryan P Tolcser, Jennifer M Corcoran, Lian P Rampi.
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 7), pp. 613-625 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Data Selection, Thematic Detail, Accuracy, High Spatial Resolution, Wetland Classifications.
Abstract: Accurate wetland maps are of critical importance for preserving the ecosystem functions provided by these valuable landscape elements. Though extensive research into wetland mapping methods using remotely sensed data exists, questions remain as to the effects of data type and classification accuracy when high spatial resolution data is used. The goal of this research was to examine the effects on wetland mapping accuracy of varying input datasets and thematic detail in two physiographically different study areas using a decision tree classifier. The results indicate that: topographic data and derivatives significantly increase mapping accuracy over optical imagery alone, the source of the elevation data and the type of topographic derivatives used were not major factors, the inclusion of radar and leaf-off imagery did not improve mapping accuracy, and increasing thematic detail resulted in significantly lower mapping accuracies i.e., paricularly in more diverse wetland areas.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58700
Title: Stitching and Processing Gnomonic Projections for Close-Range Photogrammetry.
Author: Lulgi Barazzetti, Mattia Previtalli, Marco Scaioni.
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 6), pp. 573-582 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Stitching, Processing, Gnomonic Projections, Close-Range Photgrammetry.
Abstract: This paper presents a 3D reconstruction methodology based on gnomonic projections generated from multiple central perspectives. The method can be useful when traditional images are insufficient to capture fine portions of objects with an adequate level in detail, especially in close-range photogrammetry. The aim of this paper is to prove that gnomonic projections are powerfull tools to recover small details that cannot be reconstructed from standard images. The generation of the gnomonic projections are discussed, as well as the methodology to compute camera parameters, orient multiple projections, and finally extract textured 3D models or orthophotos. To verify the corectness of the methodology, some comparisons with sets of independent checkpoints were carried out. The accuracy assessment confirmed the correctness of the mathematical approach and underlined how gnomonic projections are a valid alternative to standard images. The method itself has been already used in surveys for cultural heritage documentation.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58699
Title: A Flexible Method for Zoom Lens Calibration and Modelling Using a Planar Checkerboard.
Author: Bo Wu, Han Hu, Qing Zhu, Yeting Zhang.
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 6), pp. 555-572 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Flexible method, Zoom Lens Calibration, Modelling, Planar checkboard.
Abstract: This paper presents a flexible method for zoom lens calibration and modelling using a planar checkerboard. The method includes the following four steps. First, the principal point of the zoom-lens camera is determined by a focus-of-expansion approach. Second, the influences of focus changes on the principal distance are modeled by a scale parameter. Third, checkerboard images taken at varying object distances with convergent image geometry are used for camera calibration. Finally, The variations of the calibration parameters with respect to various zoom and focus settings are modeled using polynomials. Three different types of lens are examined in this study. Experimental analyses show that high precision calibration results can be expected from the developed approach. The relative measurement accuracy (accuracy normalized with object distance) using the calibrated zoom-lens camera model ranges from 1:5 000 to 1:2500. The developed method is of significance to facililtitate the use of zoom-lens camera systems in various applications such as robotic exploration hazard monitoring, traffic monitoring, traffic monitoring and security surveilsn
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58698
Title: Developing Efficient Procedures for Automated Sinkhole Extraction from Lidar DEMs
Author: Xin Miao, Xiaomin Qiu, Shuo-Sheng Wu, Jun Luo, Douglas R Gouzie, Honglie Xie.
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 6), pp. 545-554 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: None
Abstract: Sinkhole detection in karst areas is usually difficult through remote sensing image interpretation. We present an efficient approach to extract mature sinkholes from lidar DEM. First , an adaptive Wiener fiter (AWF) and hierarchical watershed segmentation (HWS) are applied to identify all local depression or potential sinkholes. Second, a hole-filling algorithm is applied to the potentail sinkholes, and nine spatial features are extracted. Finally, the random forest classifier is used to select true sinkholes from all potentail sinkholes. Our results show that this approach , is efficient for detecting mature sinkholes from lidar data, and it can be used for risk assessment and hazard preparedness in karst areas.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58697
Title: An Automated Approach for the Conflation of Vector Parcel Map with Imagery
Author: Wenbo Song, James M Keller, Timothy L Haithcoat, Curt H Davis, Jason B Hinsen
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 6), pp. 535-544 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Automated approach, Conflation, Vector parcel map, Imagery.
Abstract: Local governments frequently use parcel maps or other spatial data for decision-making, but much of this data is often inacurate and outdated, producing a negative influence on the expected outcome. Remote sensing can provide accurate and current high-resolution imagery. However, one major bottle-neck to the integration of high resolution imagery into existing geographic information systems is the issue of positional accuracy of the existing line-work within the vector GIS database, making it difficult to match with imagery. This paper presents a vector-to-imagery conflation approach to improve the positional accuracy of digital parcel maps by conflating the vector parcel maps to make it consistent with high-resolution imagery. Road intersections are are automatically extracted from imagery and used as control points. A relaxation labelling algorithm is used to find the matches between the two road intersection point sets from vector and imagery. The links area a piecewise transformation. The test results show that this approach can improve the accuracy of vector parcel maps significantly. It is a very cost-effective method and has great potential to save considerable time and money for local governments to upgrade their inaccurate vector datasets.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58696
Title: Band Grouping versus Band Clustering in SVM Ensemble Classification of Hyperspectral Imagery.
Author: Behnaz Bigdeli, Farhad Samadzadegan, Peter Reinartz
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 6), pp. 523-534 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Band grouping, Band Clustering, SVM, Hyperspectral Imagery.
Abstract: Due to the dense sampling of spectral signatures of land covers, hyperspectral images have a better discrimination among similar ground cover classes than traditional remote sensing data. Howeve, these images are usually composed of tens or hundreds of spectrally close bands, which result in high redundancy and great amount of computation time in hyperspectral image classification. In addition, the large number of spectral bands, but limited availability of training samples creates the problem of Hughes phenomenon. Consequently, traditional classification strategies have often limited performance in classification of hyperspectral imagery. Refering to the limitation of single classifiers in these situations, classifier ensemble system may exhibit better performance. This paper presents a method for classification of hyper spectral data based on two concepts of Band Clustering (BC) and Band Grouping (BG) through a Support Vector machine (SVM) ensemble system. The proposed method uses the BC/BG strategies to split data into few band portions. After this step, we applied SVM on each band group that is produced in previous step. Finally, Naive Bayes as a classifier fusion method combines the decisions of SVM classifiers. Experimental results show that the proposed method improves the classifiction accuracy in comparison to the standard SVM and to feature selection methods.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58695
Title: A Least-Cost Algorithm Approach to Trail Design Using GIS
Author: Loannis Kokkinidis, Beth R Stein, Jayashree Surendrababu, Taylor Seigler, Won Hoi Hwang, Laura Lorentz, Catherine Howey.
Editor: Russell G Congalton
Year: 2013
Publisher: ESRI
Source: Centre for Ecological Sciences
Reference: Photogrammetric Engineering & Remote Sensing Vol. 79(no. 6), pp. 498-505 (2013)
Subject: Photogrammetric Engineering & Remote Sensing
Keywords: Least-cost algorithm, GIS, Trail design.
Abstract: Recreational trails offer outdoor enthusiasts an enjoyable way to view and experience an outdoor setting (Xiang, 1996). Trails provide opportunities to hike, bike, run, ride All-Terrain Vehicles (ATVs), and horseback ride. In 2011, nearly 50 percent of Americans participated in one of these activities, indicating a growing trend in outdoor recreation (Outdoor foundation, 2012). For the Boy Scouts of America (BSA), trails also provide a venue for environmental education, development, and fellowship (BSA- Philmont, 2013).
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58694
Title: National Multiple Land Use Framework
Author: Stacey Dix
Editor: DMITRE
Year: 2013
Publisher: Wakefield Press
Source: Centre for Ecological Sciences
Reference: MESA Journal Vol. 66, pp. 46 (2012)
Subject: MESA Journal
Keywords: National, land use framework
Abstract: South Australia has an abundance of economic, environmental and social resources that can support the coexistence of industries in a sustainable and profitable manner, yet land use conflict has presented challenges to governments, industry and communities over a long period.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58693
Title: Regolith map of South Australia and GIS dataset: first edition.
Author: Carmen Krapf, Jonathan Irvine, Wayne Cowley
Editor: DMITRE
Year: 2013
Publisher: Wakefield Press
Source: Centre for Ecological Sciences
Reference: MESA Journal Vol. 66, pp. 23-25 (2012)
Subject: MESA Journal
Keywords: Regolith map, geochemical sampling, mineral exploration, landscape evolution,
Abstract: A major challenge to bedrock mineral exploration in many parts of South Australia is the need to be able to explore efficiently and effectively through extensive and thick regolith distribution and composition can be a very cost-efficient and powerfull exploration tool. Regolith maps which distinguish between in-situ and transported regolith are particularly usefull for geochemical sampling programs in mineral exploration. Furthermore, regolith mapping assists in the development of landscape evolution models and promotes understanding of regolith history and dispersion within the landscape.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58692
Title: Genetic Engineering on Rice - A fact sheet
Author: Sreedevi Lakshmi Kutty and Karsten Wolff
Editor: None
Year: 2013
Publisher: Save our Rice Campaign
Source: Centre for Ecological Sciences
Reference: Genetic Engineering on Rice, pp. 5-44 (2013)
Subject: Genetic Engineering on Rice - A fact sheet
Keywords: Genetic Engineering, Rice, High yielding varities, Green revolution.
Abstract: Rice is the world ' s most important staple crop, growing in over 100 different countries. More than 90% of the world production comes from Asia. Rice is the basis for the livelihood of more than 2 billion people in Asia; more than 1 billion farmers across the region make a living out of rice cultivation, most of them small-scale farmers.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58691
Title: Book review - Urbanizing Citizenship: Contested Spaces in Indian Cities
Author: Renu Desai, Ramola Sanyal
Editor: Nandini Kumar
Year: 2013
Publisher: The Energy Resource Institute
Source: Centre for Ecological Sciences
Reference: Journal of Resources, Energy, and Development Vol 10(no.1), pp. 51-52 (2013)
Subject: Journal of Resources, Energy, and Development
Keywords: Urbanizing citizenship, contested spaces, cities.
Abstract: India ' s story of modernity is fast becoming an urban one in which the middle and the lower classes are competing for their claim to city spaces. Urbanizing Citizenship demonstrates that these conflicts are well understood as engagements of citizenship, and demonstrate that these adhere only partially to the classic western social theory of urban citizenship. The book challenges a set of naturalized, gendered, and dichotomous analogies that has characterized both urban and political studies. The volume unfolds like a two-part nine-act drama. It is structured into two parts, which in turn are represented through eight case studies explore urban citizenship paradigms across Indian cities - Ahmedabad, Bengaluru, Kolkata, Delhi, Mumbai, and Varanasi.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58690
Title: Strenthening Bilateral Trade Relations between India and Iran : Opportunities in Livestock Sector.
Author: Massoumeh N Zadeh, Smita Sirohi, Bitan Mondal, Raka Saxena,
Editor: Nandini Kumar
Year: 2013
Publisher: The Energy Resource Institute
Source: Centre for Ecological Sciences
Reference: Journal of Resources, Energy, and Development Vol 10(no.1), pp. 39-50 (2013)
Subject: Journal of Resources, Energy, and Development
Keywords: Bilateral trade, India and Iran, Livestock product trade, livestock input trade.
Abstract: Livestock sector is an important component of the both, Indian and Iranian economy. Due to highly protected livestock markets in the developed countries and rapidly increasing demand for livestock products and inputs in Asian countries, these nations are preferred destinations of livestock products trade. This study identifies the potential livestock products and inputs based on Iranian and Indian trade data. The potential of Indian exports to Iran lies in the meat of bovine animals, especially frozen and boneless and also fresh and chilled boneless meat, skimmed milk powder, butter and fat based products, bird ' s egg in shell, carded or combined fine animal hair, combed wool in fragments and wool tops, and vaccines for veterinary medicine. The Iranian exports to India can be enhanced in raw skins of sheep or lamb without wool on, tanned or crust hides and skins of bovine or equine animals, in wet or dry state, tanned or crust hides and skins of sheep and lambs without wool in wet or dry state, greasy wool and degreased wool not carded or combed.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58689
Title: India ' s Marginal Intra-Industry Trade in selected Agricultural and Processed Food Products: The Likely Implications on Adjustments Costs and Food Security.
Author: Poornima Varma
Editor: Nandini Kumar
Year: 2013
Publisher: The Energy Resource Institute
Source: Centre for Ecological Sciences
Reference: Journal of Resources, Energy, and Development Vol 10(no.1), pp. 25-38 (2013)
Subject: Journal of Resources, Energy, and Development
Keywords: Intra-industry trade, marginal intra industry trade, food securtiy, agriculture, food processing sector, India, adjustment costs.
Abstract: The present study makes an attempt to analyse the structure of India ' s trade in agricultural products ands its possible implications on resource adjustments and food security. As per the ' Smooth Adjustment Hypothesis ' (SAH), trade integration as a consequence of Intra Industry Trade (the simultaneous export and import of goods from the same industry) would not lead to significant adjustment costs that take place with the displacement of resources from comparitively disadvantaged industries to export oriented industries, as in the case with inter industry trade patterns. If a country is experiencing an increase in inter-industry trade, the changes in exports and imports would be unmatched and and as a result the resources will be reallocated from the contracting sectors to the expanding ones. The analysis of marginal intra-industry trade (MIIT) - a dynamic measure of intra industry trade - for selected agricultural and processed food products showed that the products mainly exhibits inter industry trade structure. The study also noted an emergence of new pattern of demand on tropicall agricultural products in developed countries. The shift in cropping pattern from traditional to high value d crops that we see in this paper might be due to this shift in global demand. This shift in global demand was also reflected in the expansion of the exports of high valued crops and processed food products in particular might pose serious implications on the resource adjustments as well as food security.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 58688
Title: Agricultural Transformation and Food Security in India: Lessons for Southeast Asia.
Author: Reshmi Banerjee
Editor: Nandini Kumar
Year: 2013
Publisher: The Energy Resource Institute
Source: Centre for Ecological Sciences
Reference: Journal of Resources, Energy, and Development Vol 10(no.1), pp. 11-24 (2013)
Subject: Journal of Resources, Energy, and Development
Keywords: Agricultural Transformation, Food Security, Southeast Asia, rural development.
Abstract: This article seeks firstly to look at the three aspects of food security in India, viz., food availability, accessibility, and absorption. Secondly, an attempt has been made to study food security in India against the backdrop of governamental programmes and NGO interventions and suggestions have been made for the future. Finally, the paper draws out similarities between India and the ASEAN countries of Indonesia and Vietnam in the arena of agricultural and rural development, both essential for food security.
Location: TE 15 New Biology Building
Literature cited 1: None
Literature cited 2: None