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    Spell Check In Attribute of Shpfile

    ghufrang
    By ghufrang,
    Hi Everyone Please Tell me how i check Spell in Attribute table of Shpfile in Arcmap. if anyone have Tool or Script  u Please help me. Thanks Shahid GHufran

    The BIG List of GIS, Mapping, and Geo Tech Events to Consider in 2012

    EmperoR
    By EmperoR,
    Here we are well into 2012 and that means another year of conferences, events, MeetUps, Devmeets, hackathons and more. With budgets tight, a rough economy, and conferences coming and going by the wayside, there's a number of choices to be made.  2012 GIS and Geospatial Events To Consider WhereCamp + Ignite Tampa 2012 The first such cozy event in Tampa, FL, this event gets mention because it's the first Ignite and un-conference of the year. Enjoy 2 days with a WhereCamp + Ignite and more

    The 35th Applied Geography Conference

    EmperoR
    By EmperoR,
    will be held in   Holiday Inn Minneapolis Metrodome   Wednesday (10/10/2012) to Friday (10/13/2012) Due dates: Abstract: June 3, 2012 Manuscript: June 15, 2012 (Manuscript Guidelines)   Student Poster Competition: September 7, 2012 Sponsors for the 2011 Applied Geography Conference in Redlands, California:   Kent State University Binghamton University   Texas Christian University Texas State University, San Marcos   University of Redlands Georg

    IOP | Data Quality Assurance Released

    EmperoR
    By EmperoR,
    Spatial Engineering announced the release of IOP | Data Quality Assurance. IOP is a highly customizable, web-based quality assurance system developed for use with an enterprise GIS. It allows users to produce high quality GIS data faster by: automating workflows; providing hierarchical user management; managing data ownership for tables, layers, etc., independently of desktop software; providing custom quality control checks; enabling users to identify errors real-time; and allowing users to u

    COM.Geo 2012 Highlights: Sensor Computing for Geospatial

    EmperoR
    By EmperoR,
    The COM.Geo 2012 conference announces the conference highlights: Sensor Computing for Geospatial. Sensors Everywhere! An increasing number of pervasive and connected sensors are intelligently monitoring our daily lives. Sensors are gathering and reporting data on a variety of areas including transportation, energy, security, medical, general consumer and industrial manufacturing. This sensor revolution is creating a new layer of the Internet — “Internet of Things”. What will be a world charact

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    • Satellite images analyzed by AI are emerging as a new tool in finding unmapped roads that bring environmental destruction to wilderness areas. James Cook University's Distinguished Professor Bill Laurance was co-author of a study analyzing the reliability of an automated approach to large-scale road mapping, using convolutional neural networks trained on road data, using satellite images. He said the Earth is experiencing an unprecedented wave of road building, with some 25 million kilometers of new paved roads expected by mid-century. "Roughly 90% of all road construction is occurring in developing nations including many tropical and subtropical regions of exceptional biodiversity. "By sharply increasing access to formerly remote natural areas, poorly regulated road development triggers dramatic increases in environmental disruption due to activities such as logging, mining and land clearing," said Professor Laurance. He said many roads in such regions, both legal and illegal, are unmapped, with road-mapping studies in the Brazilian Amazon, Asia-Pacific and elsewhere regularly finding up to 13 times more road length than reported in government or road databases. "Traditionally, road mapping meant tracing road features by hand, using satellite imagery. This is incredibly slow, making it almost impossible to stay on top of the global road tsunami," said Professor Laurance. The researchers trained three machine-learning models to automatically map road features from high-resolution satellite imagery covering rural, generally remote and often forested areas of Papua New Guinea, Indonesia and Malaysia. "This study shows the remarkable potential of AI for large-scale tasks like global road-mapping. We're not there yet, but we're making good progress," said Professor Laurance. "Proliferating roads are probably the most important direct threat to tropical forests globally. In a few more years, AI might give us the means to map and monitor roads across the world's most environmentally critical areas." journal: https://www.mdpi.com/2072-4292/16/5/839
    • INTRODUCTION Hi members, Welcome to our training on GIS Mapping and Spatial Analysis in Early Warning Systems Course. This course in  GIS Mapping and Spatial Analysis in Early Warning Systems has been developed to enhance the capacity of government officials, development partners, and stakeholders involved in development planning to mainstream disaster risk reduction into development activities and practices. DURATION 5 days. WHO SHOULD ATTEND This course is intended for audiences who form disaster management teams working in government agencies, NGOs, and Community Members working in governments, funding agencies, and research and non-government organizations for Emergency response and other Development programs. COURSE OBJECTIVES Upon completion of the course, participants will: ·         Understand operational mechanisms and procedures for the prediction, forecasting, monitoring, and response to the warning ·         Examine the kinds of tools and products that are available or could be developed to integrate information into forms most useful for them to make decisions at various levels and set up appropriate contingency plans or options to guide members of their organization against various hazards of different timescales. ·         Design end-to-end early warning systems for several types of hazards including, action planning for disaster preparedness, emergency management, and social response concerning early warning; ·         Develop tools for early warning audits, identify current gaps in existing early warning systems, and put in place enhanced people-centered early warning system ·         Harmonization of the early warning system and disaster mitigation for effective disaster risk reduction ·         Undertake risk assessment and design of multi-hazard end-to-end early warning systems for disaster risk reduction ·         Develop strategies to institutionalize early warning systems into the process cycle of disaster risk reduction and development planning, emergency response, and preparedness activities ·         Interpret and translate scientific information products into user-friendly formats and prepare & communicate tailor-made early warning information products to elicit a response from the at-risk communities ·         Design and implement community-based early warning systems that are people-centered and that can effectively contribute to the risk management process/risk reduction ·         Evaluate and introduce public education and training programs for community-based early warning systems ·         Apply emerging new generation climate prediction technologies for anticipating and managing disaster risks associated with climate change & variability   ACCREDITATION Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA). TRAINING VENUE The training will be held at the IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses. Email: [email protected] or [email protected] Mob: +254 715 077 817/+250789621067 Register Today: GIS Mapping and Spatial Analysis in Early Warning Systems Course  
    • BAE Systems is celebrating alongside its customers at the Environmental Defense Fund (EDF) following the successful launch of the MethaneSAT satellite from Vandenberg Space Force Base in California today. The satellite will provide the public with reliable scientific data about the sources and scale of methane emissions globally, with the ultimate goal of driving reductions in the near future. MethaneSAT’s primary instrument includes a BAE Systems-built spectrometer that will identify and quantify methane emissions by measuring the narrow part of the infrared spectrum where the gas absorbs light reflected off the Earth MethaneSAT’s primary instrument includes a BAE Systems-built spectrometer that will identify and quantify methane emissions by measuring the narrow part of the infrared spectrum where the gas absorbs light reflected off the Earth. The satellite will monitor emissions from the oil and gas sector, which accounts for about 40% of all human-caused methane emissions, and it will be able to revisit the same sites daily in most instances. MethaneSAT will also fill a gap in existing remote methane monitoring capabilities, offering high-precision emissions mapping over a broad 200km by 200km field of view. This satellite will further complement existing methane-monitoring satellites that focus on either larger scales or detecting point sources.   “MethaneSAT will make a critical difference in helping us better understand and remedy global greenhouse gas emissions,” said Dr. Alberto Conti, vice president and general manager of Civil Space for BAE Systems Space & Mission Systems. “MethaneSAT will advance our ability to identify and track emissions from their source, empowering stakeholders and the public with actionable data to enable reductions. We are thankful to our customers at the Environmental Defense Fund for developing this crucial mission, and we look forward to seeing all the change it will bring.” BAE Systems worked alongside scientists from EDF and MethaneSAT, LLC, to design and build the primary instrument. The company also led spacecraft integration, environmental testing, and will provide commissioning services. Once commissioning is complete, EDF will launch a cloud-based platform in partnership with Google to distribute MethaneSAT data publicly and free of charge, ensuring the data will be easily accessible for all. “MethaneSAT is a unique instrument with demanding specifications,” said Peter Vedder, senior director for mission systems at MethaneSAT. “It’s designed to see methane emissions that other satellites can’t, with unprecedented precision. BAE Systems helped us push the envelope to deliver a powerful new tool for protecting the climate.” MethaneSAT launched on a SpaceX Falcon 9 rocket.  
    • The National Research and Innovation Agency (BRIN) uses remote sensing technology to calculate the danger of faults as an effort to mitigate the threat of earthquakes for the public. A researcher from BRIN's Geological Disaster Research Center, Nurani Rahma Hanifa, stated that her side was collaborating with the British Geological Survey (BGS) in this technology research that has been published in a joint scientific research. "We hope this effort can reduce the fatality caused by earthquakes with the scientific data we have through remote sensing," she noted in a statement from her office on Thursday. Meanwhile, BGS' geologist in multi-hazard and remote sensing, Ekbal Hussain, stated that the technology, currently owned by BGS, can measure ground movement patterns and details of earthquake fragments after an earthquake occurred from space using remote sensing. "Through detailed modeling, this technology can help us to understand that earthquakes have energy released, but there is also energy stored in the earth," Hussain stated. Regarding the Lembang Fault, he explained that remote sensing can estimate the danger of the Lembang Fault by monitoring energy stored in the fault and how much of it will be released when an earthquake occurs. He expressed hope that the use of remote sensing technology would save several lives, considering that the earthquakes' vulnerability is dynamic. Head of BRIN's Geological Disaster Research Center, Adrin Tohari, stated that the Cianjur earthquake that struck in 2022 was interesting to be studied deeper. He noted that until now, the fault location is not yet discovered, but the impact of damage caused by the fault is quite extensive. In 2023, BRIN had conducted a study to determine the main earthquake location. However, the agency had not found the main earthquake's vein due to thick volcanic deposits. "Activity is difficult to detect," Tohari stated. He is optimistic that the implementation of remote sensing technology would improve the scientists' ability of understanding the potential and risks of the Lembang Fault in the Greater Bandung area.
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