Day 1 :
Keynote Forum
Shihong Du
Peking University, China
Keynote: Multiscale geoscene analysis using VHR remote sensing images: Application to urban functional mapping
Time : 10:05-10:50
Biography:
Shihong Du received BS and MS degrees in Cartography and Geographic Information System from the Wuhan University, Hubei, China, and the PhD degree in Cartography and Geographic Information System from the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China, in 1998, 2001, and 2004, respectively. He is currently an Associate Professor with the Peking University, Beijing, China. His research interests include qualitative knowledge representation, reasoning and its applications, and semantic understanding of spatial data including GIS and remote sensing data.
Abstract:
Statement of the Problem: Landscape zones are heterogeneous geographic areas characterized by diverse interacting objects, ranging from relatively natural systems to human-dominated environments. However, existing geographic object-based image analysis (GEOBIA) is good at dealing with object individuals but weak in analyzing landscape zones. Accordingly, this study aims to present a novel and generic concept “geoscene” to represent landscape zones and lay the foundation for studying their patterns and functions. Geoscene are spatially continuous and non-overlapping regions in remote sensing images, with each geoscene composed of diverse objects (e.g., buildings, vegetation, and waters).
Methodology & Theoretical Orientation: To investigate urban landscapes with geoscenes, we presented the techniques for geoscene analysis in this study: geoscene segmentation and classification. First, a multiscale segmentation method is proposed to delineate geoscenes from satellite images by considering the internal object categories and their spatial patterns. Second, the generated geoscenes are classified with each geoscene labeled by a landscape functional category.
Findings: The presented method is effective to generate geoscenes and can well represent landscape zones and their spatial distributions at multiple scales.
Conclusion & Significance: As a new kind of spatial units, the proposed geoscenes can effectively represent landscape zones and further contribute to the studies for landscape patterns and functions. Accordingly, geoscene analysis is an important complement to classical GEOBIA in landscape studies.
- Disaster Assessment and Management | Spatial Analysis with GIS | Remote Sensing in Urban Environment| GIS in renewable energy sources| GIS Techniques and Technologies
Session Introduction
Khameis M Alabdouli
United Arab Emirates University, UAE
Title: Using spatial data to predict tsunami evacuation participation rate and trip generation
Biography:
Khameis M Alabdouli is an Assistant Professor at the Geography and Urban Planning Department. He attended the United Arab Emirates University where he received a BS in Geographical Information Systems and Remote Sensing in 2006. He continued his graduate studies and earned his Master’s from University of Arkansas in 2010. He joined NASA DEVELOP Internship program in NSSTC (The National Space Science Technology Centre) at NASA Marshall Space Flight Centre, Huntsville, AL, in summer 2012 where he worked closely with NASA scientists on different projects. He earned his PhD from Florida State University in 2015. His research focuses on the interactive relationship between human and environment specifically disaster management and evacuation.
Abstract:
Evacuating populations from areas at risk of a possible tsunami is a critical task since the time between the generation of a tsunami wave and its arrival to coastal areas is limited. There are several factors that affect the evacuation process such as the magnitude of the tsunami, its estimated time of arrival, the available road network for evacuation, and the given population’s response to an evacuation order. In addition to having an accurate picture of road-network capability, an effective evacuation depends on having knowledge of how people at risk of a specific tsunami threat may react to an evacuation order. A telephone survey for the population at risk of various tsunami scenarious (10-ft, 20-ft, and 30-ft) in Orange County was conducted to collect the population’s behavioural responses in each scenario. The aim of this research is to identify the socioeconomic and physical variables that contribute to the evacuation intention in the survey using logistic regression. Prediction models for each scenario were built using the highly statistical significant variables identified in the logistic regression models. The US Census 2010 data and the DEM (Digital Elevation Model) were used in the prediction models to predict the evacuation participation rate from each block group in the area at risk of tsunami. The number of the evacuating vehicles was calculated for the purpose of trip generation. Predicting the evacuation participation rate in addition to estimating the number of evacuating vehicles will assist emergency managers and transportation planner to better plan for tsunami evacuation.
Alexander Borissov
Heidelberg University, Germany
Title: Acoustic method of particle detection and its application for geophysics by means of ultra-high energy neutrino beam
Biography:
Alexander Borissov participated in several large experiments in the field of High Energy Physics. He started with neutrino experiment SKIF on neutrino beam of U-70 accelerator and performed Monte Carlo simulations of different signals from high energy neutrino beam. He participated in the experiment HERMES at DESY to study the spin effects in deep-inelastic scattering and effects of cold nuclear matter there. His current research is related to experiment ALICE at LHC in CERN to study the production of elementary particles at highest energy densities reached so far in the laboratory. He is currently working at Heidelberg University in Germany.
Abstract:
Development of the acoustic method of particle detection is presented from the beginning until current experiments and perspectives. In 1983, a possibility to use acoustic signal from neutrino beam produced by a multi-TeV proton accelerator was presented for purposes of geological research. Results of the measurement of such signal on the test beam of 70 GeV proton accelerator are reported. A new possibility to study the time dependence of the thermoacoustic properties of the medium in the region of earthquake using the measurement of the velocity of longitudinal sound waves by means of usage of ultra-high energy neutrino beam as an underground source of acoustic waves is discussed.
Nashon J Adero
Technische Universität Bergakademie Freiberg, Germany
Title: Enhancing mine planning in Kenya - developing a spatial decision support system using a systems approach
Biography:
Nashon J Adero is researching on Mine Surveying (PhD) at the Technische Universität Bergakademie Freiberg, Germany. He has acquired cross-sector experience in the surveying and mapping industry, public service and academia. He has held positions of Tunnel Surveyor, Policy Analyst at Kenya’s leading public policy think tank, and Manager in the Geomatics industry. He delivered lectures on Surveying and GIS at Taita Taveta University, Kenya. His publications have focussed on environmental modelling, spatial planning and cross-cutting policy research. He is a member of professional bodies and networks, including the Institution of Surveyors of Kenya (ISK), System Dynamics Society, and Kenya DAAD Scholars Association.
Abstract:
Since 2013, mining has taken on a new strategic significance in Kenya’s development blueprint with the aim of increasing its contribution to the GDP, from 1% to double digits. After 76 years of operating under an outdated mining law, Kenya launched a new Mining Act in 2016. Considered the most progressive mining law in Africa, it presents a regulatory model for transforming the management of mineral resources and associated social and physical environment. Operationalising the new mining regulations, however, invokes critical questions of exactitude. Stakeholders need assurance of spatial integrity in the mining cadastre and the metrics of performance, rights allocation and impacts. Investors desire productivity, safety and a well-regulated operating environment. Model-Based Systems Engineering finds various applications in a mine’s life cycle, but on a limited spatial scale. The weakest, and often the missing link in the global analytics characterising similar models, is the lack of comprehensive spatial metrics. Therefore, not only is it imperative to develop discrete mining plans for project-specific loss and risk mitigation but even more critical is the need to develop replicable system models capturing the big picture of spatially verifiable rights, interests and impacts. Convergence in positioning, navigation and mapping technologies enhances the generation of precise spatial metrics for structural geospatial modelling. Using a Kenyan case study, this research applies GIS and system dynamics to develop a spatial decision support system. The model integrates multi-layer spatial datasets with factual criteria from stakeholders and regulations. It allows for region-specific modification in imperative and convenience criteria.
Atsushi Shiota
Kyushu Institute of Technology, Tobata-ku Kitakyushu, Japan
Title: Construction of solar radiation simulation DB and solar radiation simulation system using GIS
Biography:
Atsushi Shiota is a PhD candidate at the Department of Electrical and Electronic Engineering, Kyushu Institute of Technology and the Assistant Manager of Information Technology Promotion Division at the General Affairs Bureau of Kitakyushu City Hall, Japan. Currently, he is also In Charge of Optimizing Information Systems and Geographic Information Systems. From 2014 to 2015, he introduced the GIS into the disaster-prevention field in the G-space related business of the Japanese government and realized the efficiency and sophistication of municipal disaster response works.
Abstract:
Since many years, our research team has been conducting research using GIS in the field of electric power and energy. Among these research, the amount of solar radiation simulation system using GIS has been constructed. Since this system firstly uses DSM (Digital Surface Model) with the weather conditions as sunny, the influence of shadows such as buildings and trees are included and considered. This simulation can analyze the amount of solar radiation per year, per month, per day, and every 30 minutes. In addition to this research, the amount of solar radiation database (DB) browsing system which was provided by NEDO (New Energy and Industrial Technology Development Organization) and pyranometer have been implemented. A method has constructed to correct the simulation result by NEDO's amount of solar radiation DB) that takes into consideration of past weather conditions or pyranometer value. As a result, the amount of solar radiation simulation DB has been completely constructed by considering the influence of weather conditions and shadows. Therefore, it is possible to support the selection of suitable locations for the installation of photovoltaic systems by considering the influence of weather conditions and shadows using the DB. Furthermore, the simulation of partial shadows of buildings in densely populated areas such as urban areas has been realized.
Biography:
Shahinaz Yousef’s has succeeded in linking solar forcing to different environmental responses. Once the solar stimuli is known one can predict the likely terrestrial responses in advance. One of the very important topics she has discovered is solar induced climate changes due to weak solar magnetic cycles. A single weak follow the maximum of the 80-120 years Wolf-Gleissberg (WG) cycles. They do also occur in series of 3-4 cycles at the bottom of WG cycles and last for more than 30 years. Among their terrestrial responses are; changes in the general wind circulation via effect on the North Atlantic Oscillations and the Southern Oscillations, sudden rise or falls of lakes and closed seas at various locations, closure ozone hole, invasion of cosmic rays to the earth, cooling of the earth, increased flood-drought hazards, sudden disappearance of fish worldwide, effect on locust , effect on wheat belt and cultivation in general, shrinkage of the planetary magnetospheres and the heliosphere, reduction of ionizations in the ionosphere, reduction in outer Van Allen Belt owing to reduced solar wind, inflation in the inner Van Allen belt due to increased cosmic rays causing increased hazards to satellites, increased frequency of cyclones, twisters and hurricanes. Among short term forecasts, are sudden flash floods over Mekka AlMukaramah, Geddah and El Madina which have been studied for the last 30 years and proved to be attributed to splar wind streams emanating from solar coronal holes and coronal mass ejections. Nile floods and droughts have been studied in relation to solar millennium cycles since 9000 BC , in Ancient Egyptian epoch as well as Arab Epoch since 622 AD. She has succeeded in forecasting Nile floods. Among her forecasts based on solar terrestrial relations are the expected rise of the Dead Sea, Aral Sea and Lake Chad in the near future. In 2016 she has published a book with Hashim Elfaky in Germany on solar forcing of weak solar cycles on Equatorial African Lakes. She has been chosen by Cambridge Biographical center as one of the best 2000 intellectuals in the world in 2006 and 2016. She has also been included in Who's who in the world. She has just finished writing two books on the .creation and destruction of the cosmos and is looking for a polisher to publish her books.
Abstract:
Generally speaking, the sun provides the energy budget that sustains life on earth. However, at present and in the coming decades+ the conditions on the sun are abnormal due to the presence of very weak solar cycles particularly the present cycle number 24. Global warming has ended and we are in an era of global cooling that might end up as an ice age. Ice storms that prevailed in Europe in the last few years are alerting. Ice storms have even extended to the Middle East. Egypt and Libya have experienced ice storms and what is astonishing are photos of camels walking on ice in northern Arabia. In case we experience ice age in Europe and Northern America, the Sahara and Arabia will experience wet epoch. Arabia will turn into gardens and forests like it used to be in the old days as evident by the presence petroleum. This scientific expectation is in coherence with the prophet Mohamed saying: "The last hour will not arise before the land of the Arabia returns meadows and rivers." This cooling in Europe and America will cause the destruction of crops and famines. The change from mild weather into ice age is usually abrupt within few years. The interval between successive ice ages is about 11500 years which have almost passed thus a new ice age is due in time. It would be initiated by reduced solar energy output. Another alert is made of solar induced very strong earthquakes worldwide that can be of 7th magnitude. 2006 witnessed such strong earthquakes that were initiated by solar corpuscular streams emanated from abnormal coronal holes in the corona of cycle 24. Such streams caused excessive ionosphere electric currents that induced telluric electric currents in the ground leading to motion of earth's plates thus causing strong earthquakes worldwide. Alert is also made of Tsunamis. The reduced strength of the earth's magnetic field and The rapid motion of the southern magnetic pole from Canada to Siberia made NASA to predict the near reversal of the direction of spin of the earth resulting in rising of the sun from the west. This will lead to the loss of the earth of its protective magnetosphere. Coronal mass ejections will thus hit satellites and power stations. No electric power will be produced and hence no oil production. Scientists predict we will return to the ice age.
Elena Simone
University of Leeds, UK
Title: In situ sensors for monitoring and control of pharmaceutical crystallization processes
Biography:
Elena Simone graduated with an MSc in Chemical Engineering from the University of Pisa (Italy) and then moved to Loughborough University (UK) to study for a PhD in the Department of Chemical Engineering. After obtaining her doctorate degree she stayed in the same institution for a postdoc. Elena joined the School of Food Science and Nutrition at the University of Leeds in September 2016 as Lecturer in Remote Sensing.
Abstract:
Crystallisation is an important unit operation used as separation and purification technique. It is widely employed in the pharmaceutical, chemical, agrochemical, food and cosmetics industries but also in the electronic, metallurgic and material industries. More than 90% of the active pharmaceutical ingredients (APIs) on the market are produced by crystallisation and crystal size, shape and lattice structure (polymorphism) have a profound effect on the properties of the final drug as well as on the efficiency of the downstream operations (filtration, washing, drying, tableting etc.). Therefore, monitoring and control this process is fundamental to ensure the quality of the end product. The implementation of process analytical technology (PAT) tools during the development stage of APIs has largely helped in better understanding and optimizing both batch and, more recently, continuous crystallisation. Specific instrumentation can be used to monitor on-line, in situ, crystal size and shape (focused beam reflectance measurement, FBRM, particle vision and measurement, PVM), polymorphism (Raman, FTIR and NIR spectroscopy) and liquid phase composition (Attenuated total reflectance UV/VIS and FTIR, on-line HPLC). Furthermore, feedback control strategies based on PAT tools signal can be implemented in order to specifically tailor the characteristics of the produced crystals and gain higher product quality and process efficiency. In this work, examples of direct application of PAT tools in batch crystallization processes to improve crystal properties are shown and explained in detail.
Shashi Bhushan
Vikas Buildtech private limited, India
Title: GIS survey of lucknow with the help of high resolution satellite images for identification and approximate costing of all buildings in urban and rural areas and generating cess @ 1.0 % of the cost of construction of those buildings which have been constructed since 2009 to generate the social welfare fund for workers
Biography:
Er. Shashi Bhushan (Born on 9th Feb 1964) is a visionary and leader who has mapped almost the entire Uttar Pradesh, Uttarakhand Bihar and Punjab state in the glorious 22 years of his career as GIS and topographical survey expert . After having attained a degree in Civil Engineering from the prestigious Madan Mohan Malviya Engineering College, Gorakhpur (Uttar Pradesh), India in 1987, Mr. Bhushan established a firm "Vikas Engineers and Consultants" in 1993 under his sole proprietorship which went on to merge in 2010 with Vikas Buildtech Private Limited (working in the field of GIS and Remote Sensing). As a founder MD of Vikas Buildtech Private Limited. Mr. Shashi Bhushan has put into practice his acumen as a visionary engineer and conducted GIS survey and its applications of almost 54 cities across the entire length and breadth of Uttar Pradesh and Uttarakhand covering area more than 8000 sq km. He is also a proponent of Higher Education and his urge of providing Education to all led him to establish three years diploma level Engineering College named Vikas Institute of Engineering and Technology in Gorakhpur district in 2012 of which he is the Founder Chairman. He had been invited in 2015 Bangladesh-China-India- Myanmar Economic Corridor Development Forum during 23-25 November 2015 in Chengdu, China. He is a master in his area of GIS survey of cities for taxation and urban planning
Abstract:
Scope of Work: The scope of work can be divided into three broad activities.
Activity 1: The first activity being generation of detailed large scale maps consisting of the planimetric details, cadastral boundaries, micro level land-use using the state-of-the-are technology of GPS, image processing and digital data capture using 0.6 m resolution Pan Sharpened color imagery (or any better resolution image) supplemented by the ground truth collection, and conducting household surveys for collection of attributes of cess. This would involve: 1. Review of existing situation, collection of all available data including list of mohalla/villages/wards in soft copy/hard copy including city/ward boundary maps, etc., on 1:1000 scale. 2. Procurement of high resolution (0.6 m or greater) satellite imageries and draft design report. 3. Design of proper grid and projection for the whole town. 4. Geo-coding and geo-referencing of satellite imagery with respect to the available property. 5. Final design report, digitization of satellite images. The digitization process shall include vectorisation, symbolization layering, and edge matching and topological integrity. 6. Generation of large scale and detailed base maps with necessary data inputs under different layers such as plot boundaries roads, important landmarks. 7. Ground Validation Survey of the digitized maps in consultation with the concerning departmental staff for identification of ward boundaries/mohalla/village boundaries onsite. 8. Superimposing and tallying the boundaries captured through the satellite imageries fitted with various Revenue boundaries, Municipal Wards, Development Authority areas. 9. Design of software for the collection of identified Cess
- Remote Sensing | GIS Techniques and Technologies| Seismology and Geodesy | Global Navigation Satellite System
Session Introduction
Fei Yuan
Minnesota State University, USA
Title: Analysis of stream network changes: A case study in Watonwan river watershed, Minnesota
Biography:
Fei Yuan has her expertise in environmental monitoring and resource mapping using remote sensing and geographic information systems. She has extensive experience in land use and land cover mapping, landscape change detection and modeling, natural resource management, and environmental impact assessment. Her current research emphasizes quantitative methods and applications for high-resolution land and water resource mapping, long-term environmental change analysis, and site-specific crop management.
Abstract:
The Watonwan river watershed is located in south-central Minnesota, USA, with a total surface area of 561,620 acres. Due to highly erodible soils, land use changes, and higher flows attributed to climate and landscape changes in the Watonwan River system, there was a dramatic increase in the erosion level in the stream network of the watershed since European settlement in the late 1800s (MPCA, 2016), which has caused various other environmental issues. This study aims to map stream network changes and analyze associated environmental impacts in the Watonwan River Watershed from 1855 to present. Historical plat maps, multi-resolution contemporary DEMs, multi-temporal historical aerial images are used, along with field surveys. Scale effects are investigated using 1-m, 3-m, 8.5-m, and 30-m DEMs. Historical surface water features digitized from the plat map will be compared to contemporary natural stream networks extracted from a hydrologically enforced LiDAR-based DEM. Stream orders are calculated. Major land use and land cover changes near the stream network are assessed. Environmental impacts of the stream network changes along the main stem are assessed using derived hydrological characteristics and other relevant data sets such as soil, precipitation, and conservation management data. The results aid in our understanding of near-channel sediment sources at the watershed scale and assist mitigation or preventative policy in the future.
Sadiq Abdullahi Yelwa
Usmanu Danfodiyo University, Nigeria
Title: A broad analysis of vegetation dynamics across Nigeria using standardized principal components from spot satellite data
Biography:
Sadiq Abdullahi Yelwa has completed his PhD from the Department of Environmental Sciences, University of Stirling, UK. He has been a Lecturer in the Department of Geography Usmanu Danfodiyo University, Sokoto since 1997. He was seconded for two years to start the Department of Environmental Sciences, Federal University Dutse in Jigawa State between 2012 and 2014. He has published more than 30 papers in reputed journals. He has recently been appointed to serve as the Head of Department of the newly established Department of Environmental and Resources Management, Faculty of Engineering at Usmanu Danfodiyo University, Sokoto, Nigeria.
Abstract:
One of the vital resources across Nigeria being threatened by a combination of natural and man-made impact is vegetation. Accordingly, the issue of desert encroachment particularly across the northern parts of the country covering Adamawa, Bauchi, Borno, Gombe, Jigawa, Kano, Kastina, Kabobi, Sokoto, Yobe and Zamfara states is a very serious issue of concern. Desertification in Nigeria is caused by land degradation in these states where poor land management and environmental pressure is on the increase. The vegetation cover of Nigeria which reflects past and present climatic variations according to several studies indicated that its current status particularly forest areas, had an annual deforestation rate of 5% per annum of its closed forests. This is one of the highest in the world. Furthermore, rapid population growth and demands for economic development on a relatively natural, and in some areas, undisturbed vegetation which is not properly managed can also lead to permanent conversion of most vegetated areas to other forms of land use such as agriculture and housing in Nigeria. On the other hand, while some states are claiming that, part of their states in the northern part of the country is greening-up, others are claiming that the Sahel is encroaching their individual states. This study presents a broad analysis of vegetation dynamics across Nigeria with a GIS environment using standardized principal components from SPOT satellite data. Results showed that the first component indicates a general pattern of vegetation across the country while successive components show changes of varying degrees that are likely due to climatic or human impacts with both the semi arid areas in the north and Niger delta in the south indicating pockets of these likely impacts on vegetation and general environment. With the repetitive coverage of the global earth from SPOT-VEGETATION satellite this freely available products from such satellite will go a long way in making frequent monitoring across large areas possible. Results will be very useful to policy makers particularly issues dealing with climate change.
Biography:
Abdelkader El Garouani received a PhD degree in Earth Sciences from Sidi Mohamed Ibn Abdellah University, Fez with emphasis on Hydrology, GIS and Remote Sensing (2000). During 1996 to 2017, he rose from a position of Associate to Full Professor in the Environment Department at the Faculty of Sciences and Techniques, Fez. Since 2006, he has been the Head of a Research Team: Geomatics and Natural Resources at the Faculty of Sciences and Techniques. He and his co-authors (including 20 MS and PhD students) have produced over 100 scientific publications in professional journals and oral presentations in International Conferences (33 papers and 76 communications).
Abstract:
The environmental impacts of intense urban sprawl are the increase of impermeable surfaces, which increase the runoff volume and the urban problem in streambeds. The study area concerns Fez, which covers an area of 105 km². Remote sensing data (Landsat images and Google Earth), hydro-meteorological data, topographic maps, census data and field data were used to identify different patterns of land-use land-cover changes related to the growth of the city for the period 1984-2013. In this research, we have analyzed the relationship between urbanization and land-use changes and their impact on cityscape in Fez and the importance of the increase in impervious surface areas. The HEC-GeoRAS model was used for flooding risk mapping. For land-use mapping we combined spring and summer images. In the summer image, the Fez urban area appears unvegetated and is distinguishable from forests and orchards. However, the spring image was needed to separate vegetated areas from urban areas with significant amounts of asphalt and concrete and other impervious surfaces that are spectrally similar to bare soil in a summer image. The importance of multi-temporal imagery was confirmed by determining the transformed divergences for the dataset (Two images in 1984 and two images in 2013). This approach has demonstrated how landscape changes can be derived from satellite imagery in the urban spatial structure. Interpretation of Fez’s growth over a period of 29 years allows a deeper understanding of growth mechanisms, underlying drivers of urban expansion, and their effects on local livelihoods. The main direction of urban expansion in Fez was expansion and increased construction on the West and South of the city. The consistent and high impervious surface data provided the Landsat classification is critical to develop new flood management strategies for protection as well as for rehabilitation.
- Poster Presentations
Session Introduction
Imaev V S
Institute of the Earth’s Crust, SB RAS, Russia
Title: Geodynamic activity and seismotectonic deformations of neotectonic structures of the Arctic-Asian seismic belt (Russian Arctic region)
Biography:
Imaev V S is a Doctor of Geological-Mineralogical Sciences. He is a Professor and Head of Laboratory of Seismogeology of the Institute of the Earth Crust Siberian Branch Russian Academy of Sciences. In 1975, he graduated from the Geological Faculty of Moscow State University. After graduation, he was sent to the Institute of Geology of the Yakutsk, Siberian branch of the Soviet Academy of Sciences, where he passed the way from Senior Laboratory Assistant to a leading Researcher. In 1983, he defended his thesis "the Mesozoic-Cenozoic tectonics, stress fields and seismicity of the South Yakutia" at the Institute of Geology and Geophysics SB RAS (Novosibirsk), in 1994 he worked on his Doctoral thesis on "Active faults and seismotectonic North-East Asia" in the Institute of Geology and Geophysics SB RAS (Novosibirsk). In 1995, he was the Head of the Department of Arctic Studies, 1996-1998, Head of Foreign Relations Department of the Academy of Sciences of the Republic Sakha (Yakutia). In 1999, he became Professor of the Department of Geophysical Methods of prospecting and exploration of mineral deposits prospecting faculty of the Yakut state University. From 2002-2006 he was Senior Researcher of the Laboratory of Seismology, and in 2006, Head of the Laboratory of Seismogeology of Institute of Earth Crust SB RAS. Since 2016, he is the main Researcher of the Laboratory of Engineering Seismology and Seismogeology at the Institute of the Earth Crust RAS.
Abstract:
The present study is focused on determining regular patterns of seismotectonic destruction of the crust in the zone of interaction between the North American and the Eurasian lithospheric plates. We have analyzed a set of different parameters: structural-tectonic position, deep velocity structure, systems of active faults and tectonic deformation fields calculated on the basis of focal mechanism solutions of strong earthquakes and types of late Cenozoic folded and disruptive deformations. Average seismotectonic deformation tensors have been estimated from the data on focal mechanisms of strong earthquakes that together with structural-tectonic and geologic-geophysical data allowed us to reveal the areas with pure and combined regimes of the stress-strain field of the crust. Thus, we have determined that the investigated region is influenced by different geodynamic processes: rifting is observed along the spreading Gakkel ridge and throughout the territory of the Laptev Sea shelf, a suture of the midocean and Continental structures of the crust (the Kharaulakh segment) are a transition zone, and a compression regime dominates in the Cherskiy seismotectonic zone.
Arun B Inamdar
Indian Institute of Technology Bombay, India
Title: GIS based inter-class change analysis of classified multi-temporal landsat satellite images at a drought–prone semi-arid river basin in India
Biography:
Arun B Inamdar received his PhD degree in Geology from IIT Bombay in 1986. He is currently the Professor at CSRE, IIT Bombay. His current research interests are: application of remote sensing and GIS to ICM and climate change studies; coastal vulnerability studies along Indian coastline, LU/LC monitoring through satellite remote sensing.
Abstract:
Shivna river basin is a drought prone region comprising six talukas and three districts in Western Maharashtra State, India. The major livelihood of the region is agricultural practices, but the area is facing a severe water scarcity problem. Landsat satellite images from 1972-2016 are classified (Level I, hybrid classification) to estimate the change detection analysis especially for agricultural land and forest cover shrinkage and barren-lands expansions at the study area. Each image was separately classified into Agricultural land, Forest, Barren-lands, Water and Built-up area. Though the trend analysis is carried out earlier, the key objectives of the current research are to estimate the class which converted to increase the barren-lands and, to quantify the agricultural land and forest cover decrease. A GIS based pixel-to-pixel conversion estimation technique in ArcMap 10.3 environment in spatial analyst tool is applied. The change detection analysis are performed for the duration of 1972-1980, 1980-1991, 1991-2001, 2001-2011, 2011-2016 and 1972-2016. The built-up area expansions occurred at the cost of agricultural land and barren-lands. The addition in the barren-lands occurred at the cost of agricultural land, forest cover and temporary/permanent shrinkage of water bodies and/or dams. The water content (in dams and reservoirs) fluctuates randomly depending upon the recent rainfall. There is a connection between the rainfall pattern change and the inter-class conversion. The recent decrease in overall rainfall is the major factor for barren-lands increase from other three classes. These inter-class fluctuations are because of the climate change at the area over the period.
Arun B Inamdar
Indian Institute of Technology Bombay, India
Title: Long-term spatio-temporal analysis of seawater intrusion for sustainable groundwater management in Bhavnagar District
Biography:
Arun B Inamdar received his PhD degree in Geology from IIT Bombay in 1986. He is currently the Professor at CSRE, IIT Bombay. His current research interests are: application of remote sensing and GIS to ICM and climate change studies; coastal vulnerability studies along Indian coastline, LU/LC monitoring through satellite remote sensing.
Abstract:
Fresh groundwater constitutes of 0.76% of total available water on the earth, which is 30.1% of available fresh water. 40% of global population resides within 100 km of the coastline, utilizing mainly the groundwater as their primary source of freshwater. The coastal fresh water aquifers are stressed due to overexploitation and contamination. Due to overexploitation in coastal zones, seawater intrusion has come up as a major challenge in developing countries like India. The aim of this work is to help the resource managers and policy makers understand the stress on groundwater and carry out sustainable groundwater management. The analysis will prove to be an useful tool in prioritizing mitigation measures for improving the health of coastal aquifers. The current work focuses on assessing the change dynamics of seawater intrusion in coastal aquifers of Bhavnagar District, Gujarat, India; located on the Gulf of Kutch. Gulf of Kutch faces highest tidal variation (11m) in India, which makes seawater intrusion a serious threat to Bhavnagar coast. The spatio-temporal analysis is carried out to understand the qualitative and quantitative variation in groundwater. These variations are studied with respect to rainfall dynamics and local soil conditions to understand the severity and extent of seawater intrusion. The parameters analysed are groundwater quality (chlorides, carbonates, Electrical Conductivity), groundwater level, rainfall data and soil parameters. Long-term trends of these parameters are analysed and compared to understand the spatio-temporal variation in seawater ingress. It is observed from the current analysis that Vallabhipur, Bhavnagar, Talaja and Botad were the severly affected talukas.
Marc Bascompta
ICL Sustainable Mining, Spain
Title: Comparison between GPS measurements and interferometry to control mining subsidence in the Catalan basin
Biography:
Lluís Sanmiquel has completed his PhD from Polytechnic University of Catalonia (UPC). He is the Director of ICL Chair in Sustainable Mining, agreement between the UPC and the ICL mining company. He has published more than 15 papers in reputed journals and has carried out several projects and studies related to mining safety, surveying and GIS applied in mining.
Abstract:
The purpose of the study is to apply SAR interferometry for the mining activity in the Catalan basin and compare the outcomes with high precision Global Position System (GPS) data, with the idea to verify the suitability of the system to control mining subsidence in a zone where potash is exploited by means of a room and pillar method in a depth between 500-1000 meters below the surface. The satellite images used are obtained by the Sentinel-1 and then processed by software, developed by the Polytechnic University of Catalonia, called SUBSIDENCE-GUI, which was created to control mining subsidence. On the other hand, UTM coordinates of 200 control points measured between 2014-2016 by GPS are gathered to compare the outcomes of the software. The procedure used is as follows: processing the images upward and downward separately. Subsequently, either the linear deformation velocity or the nonlinear is estimated, obtaining the overall deformation. The comparison between SAR and GPS results has been done in the three spatial directions, having the SAR technology a divergence in the control points within the accuracy of the GPS in all the directions.
B Nur Ali
Pakuan University, Indonesia
Title: The vulcanostratigraphy of bregada cililin caldera based on petrography and geomorphology identification, West Java, Indonesia
Biography:
B Nur Ali is an undergraduate student from Pakuan University - Bogor, West Java. He is researching for his thesis in PT Pertamina Geothermal Energy which studied subsurface alteration and paleotemperature. He is also interested in vulcanology and mining. He has completed severals general geology and paleovulcano projects.
Abstract:
The research area is located in Mukapayung and its surroundings, Cililin Sub district, West Bandung District, West Java with total area of 30.58 km2. The research area is situated between 107o26'1'' E - 107o29'19'' E and 6o57'48'' S - 7o00'48'' S. Geology and geomorphology of the ancient volcanoes were analyzed to divide period of volcanic eruption. Petrographic analysis was also performed by observing microscopic characteristics of volcanic products. Geomorphology was determined by observing in the field and using DEM and SRTM for knowing vulcanostratigraphy of Caldera. The paleovulcanism of Miocene until Pliosen has erupted and formed a Caldera of Cililin Bregada. Three volcano cones known as Solokpandan Khuluk, Lumbung Khuluk, and Gedugan Khuluk composed Cililin Bregada. First erupted volcano, Solokpandan Khuluk has an enormous eruption and formed a caldera. Tectonic Periode in Late Miocene – Pliocene formed fractures and faults. Continuity of magmatism generated the marginal eruption of Lumbung Khuluk above Solokpandan Volcanic Rock. Solokpandan Khuluk erupted Solokpandan Volcanic Rocks and Lahar. Lumbung Khuluk erupted Lumbung Pyroclastic Flow 1, Lumbung Lava Flow 2, Lumbung Lava Flow 3, Lumbung Lava Flow 4, Lumbung Lava Flow 5, Lumbung Pyroclastic Flow 6, and Lumbung Pyroclastic Flow 7. Gedugan Khuluk erupted Gedugan Lava Flow 1, Gedugan Lava Flow 2, Gedugan Lava Flow 3, Gedugan Lava Flow 4, and Gedugan Lava Flow 5.
A Baibatsha
Kazakh National Research Technical University, Republic of Kazakhstan
Title: The study of ore-controlling factors and prospective areas according to the remote sensing
Biography:
A Baibatsha is Professor at Kazakh National Research Technical University named after KI Satpaev in Almaty, Doctor of Geological and Mineralogical Sciences. He is the Head of Innovation Geological and Mineralogical Laboratory. He is Author of over 510 papers, including more than 40 textbooks and monographs. He is engaged in plume-tectonics of Kazakhstan and prediction of mineral deposits on data of earth remote sensing.
Abstract:
In the course of processing and decoding of all submissions received, remote survey and digital terrain models within the Shu-Ile ore belt area identified linear, ring and arc structures, areal body and two uneven structural units. Ore-controlling factors and prospective areas according to the interpretation of satellite images were analyzed. Usually, the ore-controlling factors of the selection is based on a comprehensive analysis of heterogeneous information on the work area - geological, structural, geochemical, metallogenic and other data. In this case, the authors of the paper have only structural, partly geological information on the considering area. In connection with this, we distinguished only structural ore controlling factors. It should be noted that in this area can be expected manifestation of magmatic minerals associated with the formation of the complex of ultrabasic and acid igneous rocks. In the area of work can be found occurrences of chromite, platinum group metals, chrysotile asbestos and gold, and in close proximity to the north-eastern border of the work area also displays molybdenum and tin. Based on these factors, we highlighted 7 promising blocks of the first stage and the 3 blocks of the second stage. Available in the complex search operations on the allocated promising areas include: search routes lithogeochemical survey on primary and secondary dispersion halos, areal geophysics - magnetometric and electrometric (methods of the NP and IP) recording, decoding data satellite imagery of high and ultra-high spatial resolution, surface mining.