ID: 59512
Title: Beekeeping: Sustainable Livelihood Option in Uttara Kannada, Central Western Ghats.
Author: Ramachandra T V, Subhash Chandran M D, Joshi N V, Balachandran.
Editor: Dr.Ramachandra T V
Year: 2012
Publisher: Energy and Wetlands Research Group, CES.
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report 49, Sahyadri Conservation Series 19.
Subject: Beekeeping: Sustainable Livelihood Option in Uttara Kannada, Central Western Ghats.
Keywords: Beekeeping, Sustainable Livelihood Option, Uttara Kannada, Central Western Ghats, Karnataka
Abstract: Beekeeping is a forest and agro-based industry, which is beyond the ordinary realms of industry, in the sense that the humans derive benefits from interaction between two living things like plants and bees without affecting adversely both. On the contrary plants, including many crops, prosper with abundance of bees (as pollinating agents) and the bees, sheltered both by nature and humans provide mainly honey and other by-products like beeswax, bee-pollen, propolis and royal jelly. Bee-keeping, systematically adopted as a supplement to farming, can bring prosperity to the villages of Uttara Kannada, a district endowed with species rich forests and cultivation of a high diversity crops. Unlike intensive farming or fishing that can corrode the natural resource base, abundance of honey bees in a natural environment benefits both crops and wild plants.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 59511
Title: Ecological status of Dandeli and Anshi Tiger Reserve
Author: Ramachandra T V, Subhash Chandran M D, Rao G R, Amit Yadav, Gururaja K V, Karthick B, Uttam Kumar, Durga Madhab, Mahapatra, Vishnu Mukhri.
Editor: Ramachandra T V
Year: 2009
Publisher: Energy and Wetlands Research Group, CES
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report 43
Subject: Ecological Status of Dandeli Anshi Tiger Reserve
Keywords: Ecological Status, Dandeli- Anshi Tiger Reserve
Abstract: With 7% of worlds flora and 6.5% of the world ' s fauna spread accross the 10 biogeographic zones of the nation, India constitutes one of the 10 mega biodiversity countries. The nation also boasts of two of the 34 biiodiversity hotspots namely Western Ghats and Himalaya. The Western Ghats record the presence of 45 endemic plants and 73 endemic plants shared only with Sri Lanka. The Ghats form the catchment for 37 west flowing and three major east flowing rivers. With 60(%) of one of the two biodiversity hotspots of India namely the Western Ghats, Karnataka is one of the richest states in India in terms of total forest cover and has 21 wild life sancturies and 5 National Parks to its credit.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 59510
Title: Adopting clustering approaches - ecology integrated sustainable development of Uttara Kannada
Author: Ramachandra T V, Subhash Chandran M D, Joshi N V, Prakash Mesta.
Editor: Dr. T V Ramachandra.
Year: 2013
Publisher: Energy and Wetlands Research Group, CES.
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report:60, Sahyadri Conservation Series 30
Subject: Adopting clustering approaches - ecology integrated sustainable development of Uttara Kannada
Keywords: Clustering approaches, Ecology Integrated Sustainable Developoment, Uttara Kannada.
Abstract: The concept of economic clustering and trade guilds in India has roots in pre-history. The cocoons and silk processing industry has traditionally existed in clusters, in places such as Banaras, Kancheepuram, Kashmir etc. Cluster-based economic development has become an increasingly popular topic for researchers and economic development professionals. The approach is considered an important aspect of a broader re-orientation of research and economic policy towards laying the foundations of a microeconomic approach for prosperity and growth. The past decades were under the spell of macroeconomics and the creation of market institutions in developing economies. While there is now fairly broad consensus on the type of macroeconomic and legal conditions neccessary to achieve economic progress, it is also becoming clearer that these conditions are not sufficient. As a new approach to help economies reap the full potential of an improved macroeconomic and legal context cluster-based efforts have recieved a potential of an improved macroeconomic and legal context cluster-based efforts have received a lot of attention. Clusters are groups of companies and institutions co-located in a specific geographic region and linked by interdependencies in providing a related group of products and/or services. Because of the proximity among them - both in terms of geography and of activities - cluster constituents enjoy the economic benefits of several types of positive location specific externalities.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 59509
Title: Valuation of goods and services from forest ecosystem of Uttara Kannada, Central Western Ghats.
Author: Ramachandra T V, Subhash Chandran M D, Joshi N V, Divya Soman, Ashwath D. Naik, Prakash N Mesta.
Editor: Dr. T V Ramachandra
Year: 2013
Publisher: Energy and Wetlands Research Group, CES.
Source: Centre for Ecological Sciences
Reference: ENVIS Technical Report 44, Sahyadri Conservation Series 25
Subject: Valuation of Goods and Services from Forest Ecosystem
Keywords: Economic valuation, ecosystems, provisioning services, regulating services.
Abstract: The flow of goods or services which occur naturally by ecological interaction between biiotic and abiotic components in an ecosystem is often referred as ecosystem goods and services. These goods and services not only provide tangible and intangible benefits to human community, but also are critical to the functioning of ecosystem. Valuation of ecosystem goods and services is essential to frame, prioritise and justify sustainable development policies oriented towards the protection or restoration of ecosystem.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 59508
Title: Water Scarcity in Varada Catchment: Need to arrest Deforestation on Priority
Author: Ramchandra T V, Subhash Chandran M D, Vinay S, Bharath H Aithal.
Editor: Derek Lichti
Year: 2014
Publisher: Energy Wetlands Research Group. CES, IISc.
Source: Centre for Ecological Sciences
Reference: ETR 82, SCR 45.
Subject: Water Scarcity in Varada Catchment: Need to arrest Deforestation on Priority
Keywords: Water Scarcity, Varada Catchment, Deforestation.
Abstract: River Varada tributary of river Tungabhadra, is the north flowing river originating at Varadamoola of Western Ghats in Sagara taluk of Shimoga district. Origin of the Varada i.e., Varadamoola is surrounded with four hillocks. Before joining river Tungabhadra near Galaganath Village of Haveri District bordering Bellary, the river flow about 245 km from the origin with a catchment area 607.97 km2 and consist about 273 lakes which are interconnected through cascaded systems in the vicinity.
Location: TE 12 New Biology Building
Literature cited 1: None
Literature cited 2: None
ID: 59507
Title: Levee crest elevation profiles derived from airborne lidar-based high resolution digital elevation models in south Louisiana
Author: Monica Palaseanu-Lovejoy, Cindy A. Thatcher, John A. Barras.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.114-126 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: Atchafalaya Basin, Lafourche Parish, Louisiana, Flood protection, Levee, Crest, Lidar, DEM.
Abstract: This study explores the feasibility of using airborne lidar surveys to construct high-resolution digital elevation models (DEMs) and develop an automated procedure to extract levee longitudinal elevation profiles for both federal levees in Atchafalaya Basin and local levees in Lafourche Parish, south Lousiana. This approach can successfully accommodate a high degree of levee sinuosity and abrupt changes in levee orientation (direction) in planar coordinates, variations in levee geometries, and differing DEM resolutions. The federal levees investigated in Atchafalaya Basin have crest elevations between 5.3 and 12 m while the local counterparts in Lafourche Parish are between 0.76 and 2.3 m. The vertical uncertainty in the elevation data is considered when assessing federal crest elevation against the U.S Army Corps of Engineers minimum height requirements to withstand the100-year flood. Only approximately 5% of the crest points of the two federal levees investigated in the Atchafalaya Basin region met this requirement.
Location: TE 12 New Biology Building
Literature cited 1: American Society of Civil Engineers (ASCE), 2012.2012 Report Card for Louisiana ' s Infrastructure. < http://www.lasce.org/documents/LouisianaInfrastructure Report Card 2012.pdf >.
Bindoff, N.L., Willebrand, J., Artale, V., Cazenave, A., Gregory, J.M., Gulev., S., Hanawa, K., Le Quere, Corinne, Levitus, S., Nojiri, Y., Shum, C.K., Talley, L.D., Unnikrishnan, A.S., Josey, S.A., Tamisiea, M.,Tsimplis, M., Woodworth, P.,2007. Observations: oceanic climate change and sea level. In: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averty, K.B., Tignor, M., Miller, H.L., (Eds) Climate change 2007: The Physical Science Basis. Contribution of Working Group I. Cambridge, Cambridge University Press, pp385-428.
Literature cited 2: Bishop, M.J., McGill, T.E., Taylor, S.R., 2004.Processing of laser radar data for the extraction of an along-the -levee-crown elevation profile for levee remediation studies. In: Gary, w., (Ed.) Laser radar Technology and Applications IX.
Kamerman. Proceedings of SPIE, vol.5412, pp.354-359, SPIE, Bellingham, WA.
Bivand, R.S., Pebesma, E.J., Gomez-Rubio, V., 2008. Applied spatial data analysis with R.Springer, NY.http://www.asdar-book.org/.
ID: 59506
Title: Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010.
Author: Murali Krishna Gumma, Prasad S. Thenkabail, Aileen Maunahan, Saidul Islam, Andrew Nelson.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.98-113 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: Seasonal rice mapping, MODIS NDVI, Cropping intensity, Spectral matching techniques , Field-plot information , Bangladesh.
Abstract: Rice is the most consumed staple food in the world and a key crop for food security. Much of the world ' s rice is produced and consumed in Asia where cropping intensity is often greater than 100% (more than one crop per year), yet this intensity is not sufficiently represented in many land use products. Agricultural practices and investments vary by season due to the different challenges faced, such as drought , salinity, or flooding , and the different requirements such as varietal choice , water source , inputs , and crop establishment methods . Thus, spatial and temporal information on the seasonal extent of rice is an important input to decision making related to increased agricultural productivity and the sustainable use of limited natural resources. The goal of this study was to demonstrate that hyper temporal moderate-resolution imaging spectroradiometer (MODIS) data can be used to map the spatial distribution of the seasonal rice crop extent and area. The study was conducted in Bangladesh where rice can be cropped once, twice, or three times a year.
MODIS normalized difference vegetation index (NDVI) maximum value composite (MVC) data at 500 m resolution along with seasonal field-plot information from year 2010 were used to map rice crop extent and area for three seasons, boro ( December/January -April), aus (April/May-June/July), and aman (July/August-November/December), in Bangladesh. A subset of the field -plot information was used to assess the pixel-level accuracy of the MODIS-derived rice area. Seasonal district-level rice area statistics were used to assess the accuracy of the rice area estimates. When compared to field-plot data, the maps of rice versus non-rice exceeded 90% accuracy in all three seasons and the accuracy of the five rice classes varied from 78% to 90% across the three seasons. On average , the MODIS -derived rice area estimates were 6% higher than the sub-national statistics during boro,7% higher during aus , and 3% higher during the aman season. The MODIS -derived sub-national areas explained (R? values) 96%, 93%, and 96% of the variability at the district level for boro, aus, and aman seasons, respectively.
The results demonstrated that the methods we applied for analysing and interpreting moderate spatial and high temporal resolution imagery can accurately capture the seasonal variability in rice crop extent and area. We discuss the robustness of the approach and highlight issues that must be addressed before similar methods are used across other areas of Asia where a mix of rainfed , irrigated, or supplemental irrigation permits single, double, and triple cropping in a single calendar year.
Location: TE 12 New Biology Building
Literature cited 1: Allard, J., Kon.K., Morishima, Y., Kotzian, R., 2005. The crop protection industry ' s view on rice crop establishment in Asia and their impact on weed management techniques. In: Toriyama, K., Heong. K.L., Hardy, B (Eds.), Rice is Life: Scientific Perspectives for the 21 st Century. Proceedings of the World Rice Research Conference held in Tokyo and Tsukuba, Japan, 4-7 November, 2004. International Rice Research Institute, Los Banos, Philippines, and Japan International Research Center for Agricultural Sciences, Tsukuba, Japan, pp.205-207.
Asduzzaman, M, Ringler, C., Thurlow, J., Alam, S., 2010. Investing in crop agriculture in Bangladesh for higher growth and productivity, and adaption to climate change. Bangladesh Food Security, Investment Forum, 26-27 May, 2010, Dhaka
Literature cited 2: Badhwar, G.D., 1984. Automatic corn-soybean classification using landsat MSS data. I. Near -harvest crop proportion estimation. Remote Sens. Environ. 14, 15-29.
BBS, 2006. Bangladesh Bureau of Statistics and Ministry of Agriculture, The Government of the People ' s Republic of Bangladesh. Available at: < www.moa.gov.bd/statistics/bag.htm >. (Accessed on 20.02.11).
ID: 59505
Title: A simple two-band semi-analytical model for retrieval of specific absorption coefficients in 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 91.85-97 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: Remote sensing, Absorption coefficient, Semi-analytical model, Spectral slope technique, Bohai Sea, West Florida Shelf.
Abstract: A non-linear iterative method is used to replace the traditional spectral slope technique in initializing the total absorption decomposition model. Based on comparison of absorption coefficient by QAA and two band semi-analytical model (TSAA) models with field measurements collected from the West Florida Shelf waters and Bohai Sea, it is shown that both models are effective in estimating absorption coefficients from the West Florida Shelf waters, but the TSAA model is superior to the QAA model. Use of the TSAA model in estimating absorption coefficient in the West Florida Shelf and Bohai Sea decreases the uncertainty of estimation by 1.3-74.7% from the QAA model. The TSAA model ' s sensitivity to the input parameters was evaluated by varying one parameter and keeping the others fixed at their default values. Our results indicate that the TSAA model has quite a strong noise tolerance to addressing the field data of the total absorption coefficient.
Location: TE 12 New Biology Building
Literature cited 1: Astoreca, R., Doxaran, D., Ruddick, K., Rousseau, V., Lancelot. C., 2012. Influence of the suspended particle concentration , composition and size on the variability of inherent optical properties of the Southern North Sea. Cont. Shelf Res. 35,117-128.
Binging, 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.
Literature cited 2: Bukata, R.P., Jerome, J.H., Kondratyev, K.Y., Pozdnyakov, D.V., 1995. Optical properties and remote sensing of inland and coastal waters. CRC Press, New York, 1st Editor.
Carder, K.L., Chen, F.R., Lee, Z.P., Hawes, S.K., 1999. Semi-analytical moderate resolution imaging spectrometer algorithms for chlorophyll a and absorption with bio-optical domains based on nitrate-depletion temperatures. J. Geophys. Res. 104, 5403-5421.
ID: 59504
Title: None
Author: Qiuxiang Yi, Guli Jiapaer, Jingming Chen, Anming Bao, Fumin Wang.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.72-84 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: Carotenoids, Different units, Hyperspectral indices, Wavelength band selection, Partial least square regression, Cotton.
Abstract: This paper examines the use of canopy reflectance for different units of measurements of caretenoids estimation. Field spectral measurements were collected over cotton in different intensive field campaigns organized during the growing seasons of 2010 and 2011. Three units of measurements were evaluated carotenoids expressed as a mass per unit soil surface area (g/m? ), a mass per unit leaf area (?g/cm?) , and a mass per unit fresh leaf weight (mg/g) , respectively. Four methods were compared to retrieve amount of carotenoids : stepwise multiple linear regression (SMLR) , published spectral indices , band combination indices , and partial least square regression ( PLSR) . Results show that maximum sensitivity of reflectance to variation in different units of measurement of carotenoids was found in the green region at 515-550 nm, and at 715 nm and 750 nm regions in the far-red wavelengths. The predictive accuracies of Car (g/m?) , Car (?g/cm?) and Car (mg/g) were tested on validation data set and the results show that the highest R? values between estimations and observations were 0.468 for Car (g/m?), 0.563 for Car (?g/cm?) , and 0.456 for Car (mg/g) , with relative root mean square error (RMSE% , RMSE/mean) of 48. 72%, 22.07% and 21.07%, respectively. Compared to Car (g/m?) and Car ( mg/g), the model performance indices for Car (?g/cm?) show degree of consistency among the R? values and RMSE% and MAE% values . Further comparison were performed among the estimation accuracies of different unit carotenoids and among the different approaches used in the study by a paired -t-test. The results indicate that although the best estimation results for Car (?g/cm?) and Car (mg/g) were both obtained based on PLSR , they can be estimated by all four adopted methods without significant differences (p>0.1) . Whereas for Car (g/m?) , the best estimation results were obtained based on published vegetation indices clred-edge , which were significantly better than the estimation results based on SMLR (P<0.000) . In Summary , the results of this study show that even the carotenoids expressed on concentration (mg/g) or content (?g/cm?) basis at leaf level can be estimated with the same prediction accuracies to the carotenoids expressed as a mass per unit surface area (g/m?) at canopy level using reflectance measurement at canopy level.
Location: TE 12 New Biology Building
Literature cited 1: Asner, G.P., Martin, R.E., 2008. Spectral and chemical analysis of tropical forests: scaling from leaf to canopy levels. Remote Sens. Environ. 112, 3958-3970.
Asner, G.P., Martin, R.E., Ford, A.J., Metcalfe, D.J., Liddell, M.J., 2009. Leaf chemical and spectral diversity in Australian tropical forests. Ecol. Appl.19, 236-253.
Literature cited 2: Asner, G.P., Martin, R.E., Tupayachi, R., Emerson. R., Martinez, P., Sinca, F., 2011. Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests. Ecol. Appl. 21, 85-98.
Atzberger, C., Guerif. M., Baret, F., Werner, W., 2010. Comparative analysis of three chemometric techniques for the spectroradiometeric assessment of canopy cholorophyll content in winter wheat. Comput.Electron.Agric.73, 16
ID: 59503
Title: Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral data.
Author: Sayeh Hasan , Carsten Montzka, , Christoph Rudiger , Muhammad Ali, Heye R. Bogena, Harry Vereecken
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.59-71 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: PLMR2, Airborne radiometer, Soil moisture, L-MEB, Vegetation optical depth, Leaf area index.
Abstract: For the soil moisture retrieval from passive microwave sensors, such as ESA ' s Soil Moisture and Ocean Salinity (SMOS) and the NASA Soil Moisture Active and Passive (SMAP) mission , a good knowledge about the vegetation characteristics is indispensable. Vegetation cover is a principal factor in the attenuation, scattering and absorption of the microwave emissions from the soil; and has a direct impact on the brightness temperature by way of its canopy emissions. Here, brightness temperatures were measured at three altitudes across the TERENO ( Terrestrial Environmental Observatories) Rur catchment site in Germany to achieve a range of spatial resolutions using the airborne polarimetric L-band Multibeam Radiometer 2 (PLMR2) . The L-band Microwave Emission of the Biosphere (L-MEB) model which simulates microwave emissions from the soil -vegetation layer at L-band was used to retrieve surface soil moisture for all resolutions. A Monte Carlo approach was developed to simultaneously estimate soil moisture and the vegetation parameter b ' describing the relationship between the optical thickness T and the Leaf Area Index (LAI) . LAI was retrieved from multispectral RapidEye imagery and the plant specific vegetation parameter b` was estimated from the lowest flight altitude data for crop , grass , coniferous forest , and deciduous forest. Mean values of b `were found to be 0.18, 0.07, 0.26, and 0.23, respectively. By assigning the estimated b` to higher flight altitude data sets , a high accuracy soil moisture retrieval was achieved with a Root Mean square Difference (RMSD) Of 0.035 m? m-3 when compared to ground -based measurements.
Location: TE 12 New Biology Building
Literature cited 1: Aubin, I., Beaudet, M., Messier, C., 2000. Light extinction coefficients specific to the understory vegetation of the southern boreal forest. Quebec. Can. J. For. Res. Rev. Can. Rech. For. 30, 168-177.
Bircher, S., Balling, J.E., Skou, N., Kerr, Y.H., 2012. Validation of SMOS brightness temperatures during the HOBE Airborne Campaign, Western Denmark. IEEE Trans Geosci. Remote Sens. 50, 1468-1482.
Literature cited 2: Bogena, H.R., Huisman, J.A., Meier, H., Rosenbaum, U., Weuthen, A., 2009. Hybrid wireless underground sensor networks: Quantification of signal attenuation in soil. Vadose Zone J. 8, 755-761.
Bogena, H.R., Herbst, M., Huisman, J.A., Rosenbaum, U., Weuthen, A., Vereecken, H., 2010. Potential of wireless sensor networks for measuring soil water content variability. Vadose Zone J. 9, 1-12.
ID: 59502
Title: MELISSA, a new class of ground based InSAR system. An example of application in support to the Costa Concordia emergency
Author: Joan Broussolle, Vladimir Kyovtorov, Marco Basso, Guido Ferraro Di Silvi E Castiglione, Jorge Figueiredo Morgado, Raimondo Giuliani, Franco Oliveri, Pier Francesco Sammartino Dario Tarchi
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.50-58 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: MIMO, SAR, Gb SAR, In SAR, Costa Concordia, FMCW
Abstract: Ground Based Interferomatric Synthetic Aperture Radars (GB-In SAR) have proved to be fully operational tools for the monitoring of ground displacement and structural deformation. The main limiting factor of the existing systems is the time to acquire a single image, typically ranging from few seconds to few minutes. This paper presents the validation and the operational use of a new system- Mimo Enhanced LInear Short SAr (MELISSA), belonging to a new class of GB-InSAR devices. MELISSA is based on a Multiple Input Multiple Output Synthetic Aperture Radar (MIMO SAR) and is capable of acquiring and processing image data at an unprecedented high speed . A configuration of the system acquiring a 0.96 m synthetic aperture and 260 m swath image in 2.6 ms was tested in a controlled environment. The results prove its ability to reach an image refreshing time smaller than 4 ms and Line-Of- Sight (LOS) displacement accuracies better than 10?m . Thus, MELISSA was able to help with the monitoring of the Costa Concordia ship movements in the immediate aftermath of grounding during both the rescue operations and subsequent wreckage removal. The accurate displacement measurements of specific points of the structure are presented in a global interferogram sequence (2-D displacement maps of the whole structure) . The collected data contributed to a precise wreck deformation reconstruction. MELISSA ' S ability to update the information almost every second has proven to be extremely reassuring as early warning on potentially catastrophic movements
Location: TE 12 New Biology Building
Literature cited 1: Casagli, N., Tibaldi, A., Merri, A., Del Ventisette, C., Apuani, T., Guerri, L., Fortuny - Guasch, J., Tarchi, D., 2009. Deformation of stromboli volcano (Italy) during the 2007 eruption revealed by radar interferometry, numerical modelling and structural geological field data. J. Volcano. Geoth. Res. 182, 182-200.
Curlander, J.C, MCDonough, R, N., 1991. Synthetic Aperture Radar System and signal Processing. John Wiley & Sons, Inc., New York
Literature cited 2: Fratini, M., Parrini, F., Pieraccini, M., Borri, C., Atzeni, C., 2009. Structural oscillation modes identification by applying controlled loads and using microwave interferometry, NDT E Int 42, 748-752.
Keith Raney, R., 1971. Synthetic aperture imaging radar and moving targets. IEEE Trans. Aerosp. Electron.Syst. AES -7, 499-505.
ID: 59501
Title: On accurate dense stereo -matching using a local adaptive multi-cost approach
Author: C. Stentoumis, L. Grammatikopoulos, I. Kalisperakis, G. Karras
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.29-49 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: None
Abstract: Defining pixel correspondences among images is a fundamental process in fully automating image-based 3D reconstruction . In this contribution, we show that an adaptive local stereo -method of high computational efficiency may provide accurate 3D reconstructions under various scenarios, or even outperform global optimizations. We demonstrate that census matching cost on image gradients is more robust, and we exponentially combine it with the absolute difference in colour and in principal image derivatives. An aggregated cost volume is computed by linearly expanded cross skeleton support regions. A novel consideration is the smoothing of the cost volume via a modified 3D Gaussian kernel , which is geometrically constrained; this offers 3D support to cost computation in order to relax the inherent assumption of ?fronto-parallelism? in local methods. The above steps are integrated into a hierarchical scheme, which exploits adaptive windows. Hence, failures around surface discontinuities, typical in hierarchical matching, are addressed. Extensive results are presented for datasets from popular benchmarks as well as for aerial and high-resolution close -range images.
Location: TE 12 New Biology Building
Literature cited 1: Antunes, M., Barreto, P.J., 2013. Efficient stereo matching using histogram aggregation with multiple slant hypotheses. In: Proc. 6th Iberian Conference on Pattern Recognition and Image Analysis. (Ib PRIA).
Banks, J., Corke. P., 2001. Quantitative evaluation of matching methods and validity measures for stereo vision. Int. J. Rob. Res. 20 (7), 512-532.
Literature cited 2: Barnard, S.T., 1986. A stochastic approach to stereo vision. In: Proc. 5 th National Conference on Artificial Intelligence, Philadelphia, Penn., pp 676-680.
Birchfield, S., Tomasi, C., 1998. A pixel dissimilarity measure that is insensitive to image sampling. IEEE Trans. Pattern Anal .Mach. Intell. 20(4), 401-406.
ID: 59500
Title: Empirical comparison of noise reduction techniques for NDVI time-series based on a new measure.
Author: Ryo Michishita, Zhenyu Jin, Jin Chen, Bing Xu.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.17-28 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: Vegetation index, Multitemporal, MODIS, Land cover, Monitoring.
Abstract: This study empirically compared noise reduction techniques for the normalized difference vegetation index (NDVI) time -series based on a new absolute measure using a time -series of 16-day composite NDVI images extracted from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) products covering the Poyang Lake area in China. We proposed an approach to accurately extract representative NDVI temporal profiles for the 12 land cover cluster types by clustering profiles, selecting optimal number of clusters , merging and labeling clusters , and selecting the representative NDVI profiles. The geometric average of the mean average distance between the reconstructed profile and the raw profiles , and the mean average distance between the reconstructed profile and the upper envelope (Dg(nr,c)) was selected as the most appropriate measure substitutive to RMSE for the evaluation of the noise reduction effects, when the ' true ' profiles were not available. The running median, mean value, maximum operation, end point processing , and Hanning smoothing (RMMEH) filter and iterative Savitzky-Golay filter were the two most appropriate noise reduction techniques for the NDVI temporal profiles of the study area in the evaluation of noise reduction effects by the seven techniques. The robust framework using the proposed approach for the accurate extraction of representative NDVI temporal profiles and (Dg(nr,c) ) in this study , is applicable in the evaluation of noise reduction effects using different techniques and in other study areas.
Location: TE 12 New Biology Building
Literature cited 1: Atkinson, P.M., Jeganathan, C., Dash, J., Atzberger, C., 2012. Inter-comparison for four models for smoothing satellite sensor time-series data to estimate vegetation phenology. Remote Sens. Environ. 123, 400-417.
Beck, P.S.A., Atzberger, C., Hogda. K.A., Johansen, B., Skidmore, A.K., 2006. Improved monitoring of vegetation dynamics at very high latitudes : a new method using MODIS NDVI. Remote Sens. Environ. 100 (3), 321-334.
Literature cited 2: Bradley, B.A., Jacob, R.W., Hermance, J.F., Mustard, J.F., 2007. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data. Remote Sens. Environ. 106 (2), 137-145.
Chan, K., Xu, B., 2013. Perspective on remote sensing change detection of Poyang Lake Wetland. Ann. GIS 19 (4), 231-243.
ID: 59499
Title: L? - SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry.
Author: Yanbiao Sun, Liang Zhao, Shoudong Huang, Lei Yan, Gamini Dissanayake.
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 91.1-16 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: Aerial photogrammetry, Large-scale, SIFT, Feature extraction and matching, Bundle adjustment.
Abstract: The primary contribution of this paper is an efficient feature extraction and matching implementation for large images in large-scale aerial photogrammetry experiments. First , a Block -SIFT method is designed to overcome the memory limitation of SIFT for extracting and matching features from large photogrammetric images. For each pair of images, the original large image is split into blocks and possible corresponding blocks in the other image are determined by pre-estimating the relative transformation between the two images . Because of the reduced memory requirement, features can be extracted and matched from the original images without down-sampling. Next, a red-black tree data structure is applied to create a feature relationship to reduce the search complexity when matching the tie points. Mean-while , tree key exchange and segment matching methods are proposed to match the tie points alongtrack and cross-track.. Finally, to evaluate the accuracy of the features extracted and matched from the proposed L? -SIFT algorithm, a bundle adjustment with parallax angle feature parameterization (paralaxBA?) is applied to obtain the Mean Square Error (MSE) of the feature reprojections, where the feature extraction and matching result is the only information used in the nonlinear optimisation system . Seven different experimental aerial Photogrammetric datasets are used to demonstrate the efficiency and validity of the proposed algorithm. It is demonstrated that more than 33 million features can be extracted and matched from the Taian dataset with 737 images within 21 h using the L?-SIFT algorithm. In addition, the ParallaxBA involving more than 2.7 million features and 6 million image points can easily converge to an MSE of 0.03874. The C/C ++ source code for the algorithm is available at http:/ /services.eng.uts.edu.au/sdhuang/research.htm.
Location: TE 12 New Biology Building
Literature cited 1: Barrazzetti, L., Remondino, F., Scaioni, M., 2010. Extraction of accurate tie points for automated pose estimation of close-range blocks. In: ISPRS Technical Commission III Symposium on Photogrammetric Computer Vision and Image Analysis.
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ID: 59498
Title: A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences
Author: Yuanxin Ye, Jie Shan
Editor: Derek Lichti
Year: 2014
Publisher: Elsevier B V.
Source: Centre for Ecological Sciences
Reference: ISPRS Journal of Photogrammetry and Remote Sensing vol 90.83-95 (2014).
Subject: Photogrammetry and Remote Sensing
Keywords: Image registration, Multispectral remote sensing image, SR-SIFT, Local self-similarity.
Abstract: Image registration is a crucial step for remote sensing image processing. Automatic registration of multispectral remote sensing images could be challenging due to the significant non-linear intensity differences caused by radiometric variations among such images. To address this problem, this paper proposes a local descriptor based registration method for multispectral remote sensing images. The proposed method includes a two-stage process: pre-registration and fine registration. The pre-registration is achieved using the Scale Restriction Invariant Feature Transform (SR-SIFT) to eliminate the obvious translation, Rotation, and scale differences between the reference and the sensed image. In the fine registration stage, the evenly distributed interest points are first extracted in the pre-registered image using the Harris corner detector. Then, we integrate the local self-similarity (LSS) descriptor as a new similarity metric to detect the tie points between the reference and the pre-registered image, followed by a global consistency check to remove matching blunders. Finally, image registration is achieved using a piecewise linear transform. The proposed method has been evaluated with three pairs of multispectral remote sensing images from TM, ETM+, ASTER, Worldview, and Quickbird sensors. The experimental results demonstrate that the proposed method can achieve reliable registration outcome, and the LSS-based similarity metric is robust to non-linear intensity differences among multispectral remote sensing images
Location: TE 12 New Biology Building
Literature cited 1: Abdel -Hakim, A.E., Farag A.A., 2006. CSIFT: a SIFT descriptor with color invariant characteristics. In: Proceedings IEEE computer Society Conference on Computer Vision and Pattern Recognition, pp.1978-1983.
Arevalo, V., Gonzalez, J., 2008. An experimental evaluation of non -rigid registration techniques on Quickbird satellite imagery. Int. J. Remote Sens.29 (2), 513-527.
Literature cited 2: Cole-Rhodes, A.A., Jhonson, K.L., LeMoigne, J., Zavorin, I., 2003. Multiresolution registration of remote sensing imagery by optimization of mutual information using a stochastic gradient. IEEE Trans. Imagery by optimization of mutual information using a stochastic gradient. IEEE Trans. Image process. 12 (12), 1495-1511
Dai, X., Khorram, S., 1999. A feature-based image registration algorithm using improved chain-code representation combined with invariant moments. IEEE Trans. Geosci. Remote Sens. 37(5), 2351-2362.