This map is the result of field investigations by DGGS in 1997 and 1998. This geologic map and report supersede the previously released Public Data File 1999-24D, Preliminary engineering-geologic map of the Healy A-6 Quadrangle, southcentral Alaska. The current map has been updated to include mapping of areas adjacent to the Healy A-6 Quadrangle. Field investigations were part of a two-year mapping program to provide geologic ground truth for airborne geophysical surveys flown by DGGS in the Chulitna region of southcentral Alaska during 1996.

When clicking around on the map you will be able to see who is the proper Engineer and/or Inspector that needs to be contacted for that area of interest. If you zoom in, parcel lines will start to appear and address labels will show up along with the FEMA Floodplain. If you click on a certain parcel a window will pop up with the proper Engineer and/or Inspector that needs to be contacted for that area.

United States - Sources of Revenue: Surveying and Mapping Services for Engineering Services, All Establishments, Employer Firms was 3123.00000 Mil. of $ in January of 2018, according to the United States Federal Reserve. Historically, United States - Sources of Revenue: Surveying and Mapping Services for Engineering Services, All Establishments, Employer Firms reached a record high of 3123.00000 in January of 2018 and a record low of 1656.00000 in January of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Sources of Revenue: Surveying and Mapping Services for Engineering Services, All Establishments, Employer Firms - last updated from the United States Federal Reserve on July of 2025.

The Alaska Division of Geological & Geophysical Surveys (DGGS) has conducted 1:63,360-scale geologic mapping of the Eagle A-1 Quadrangle. The area is part of the 100-year old Fortymile mining district and is located in eastern Alaska near the Alaska-Yukon border. This map illustrates potential near-surface sources of various geologic materials that may be useful for construction. Field observations indicate that each geologic unit (for example, stream alluvium) has a definite composition or range of composition. Therefore, the probable presence of materials is interpreted from the distribution of geologic units on the geologic map of this quadrangle. This map is generalized and is not intended to show exact locations of specific materials. Local variations are common, especially near unit boundaries. The map was derived electronically from the geologic map of the area using Geographic Information System (GIS) software. It is locally verified by ground observations during field visits. The results should be considered reconnaissance in nature.

ROW permits are issued through Cityworks, but the permit point geometry can not be edited directly from Cityworks. Work around is for Engineering to draw the permit's extent using the editing tool in CityWorks. What they have drawn in will also show on the AMS map. They can look at the map to view the permits out and approved and shut down any un-approved sites in the field. View layer shared publicly is in the PLL map. Layers:City of Friendswood - ROW Permits**ROW Permit ALL (CityWorks eUrl)Map:ROW ViewerROW Permits EditingApp:ROW Permit ViewerROW Permit EditingOther Maps:City Works PLLInternal Interactive Map ** This layer replaces the two previous layers used “ROW Permit Points” and “ROW Permit Lines” into one feature class. URL was swapped in Cityworks for both service resources.

Graph and download economic data for Sources of Revenue: Surveying and Mapping Services for Engineering Services, All Establishments, Employer Firms (REVSMSEF54133ALLEST) from 2013 to 2018 about engineering, employer firms, accounting, revenue, establishments, services, and USA.

Machine learning (ML) has become a core feature for today's real-world applications, making it a trending topic for the software engineering community. Requirements Engineering (RE) is no stranger to this and its main conferences have included workshops aiming at discussing RE in the context of ML. However, current research on the intersection between RE and ML mainly focuses on using ML techniques to support RE activities rather than on exploring how RE can improve the development of ML-based systems. This paper concerns a systematic mapping study aiming at characterizing the publication landscape of RE for ML-based systems, outlining research contributions and contemporary gaps for future research. In total, we identified 35 studies that met our inclusion criteria. We found several different types of contributions, in the form of analyses, approaches, checklists and guidelines, quality models, and taxonomies. We discuss gaps by mapping these contributions against the RE topics to which they were contributing and their type of empirical evaluation. We also identified quality characteristics that are particularly relevant for the ML context (e.g., data quality, explainability, fairness, safety, and transparency). Main reported challenges are related to the lack of validated RE techniques, the fragmented and incomplete understanding of NFRs for ML, and difficulties in handling customer expectations. There is a need for future research on the topic to reveal best practices and to propose and investigate approaches that are suitable to be used in practice.

This project aims to improve the position estimation of mobile mapping platforms. Mobile Mapping (MM) is a technique to obtain geo-information on a large scale using sensors mounted on a car or another vehicle. Under normal conditions, accurate positioning is provided by the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, especially in urban areas, where building structures impede a direct line-of-sight to navigation satellites or lead to multipath effects, MM derived products, such as laser point clouds or images, lack the expected reliability and contain an unknown positioning error. This issue has been addressed by many researchers, whose aim to mitigate these effects mainly concentrates on utilising tertiary data, such as digital maps, ortho images or airborne LiDAR. These data serve as a reliable source of orientation and are being used subsidiarily or as the basis for adjustment. However, these approaches show limitations regarding the achieved accuracy, the correction of error in height, the availability of tertiary data and their feasibility in difficult areas. This project is addressing the aforementioned problem by employing high resolution aerial nadir and oblique imagery as reference data. By exploiting the MM platform?s approximate orientation parameters, very accurate matching techniques can be realised to extract the MM platform?s positioning error. In the form of constraints, they serve as a corrective for an orientation update, which is conducted by an estimation or adjustment technique. In total, it is 35 GB of data currently uploaded to SURFfilesender with dans-itc@utwente.nl as the recipient

In the United Kingdom (UK) geological maps traditionally have been attributed with lithostratigraphical map units. However, without significant supplementary information, these maps can be only of limited use for planning and engineering works. During the middle part of the 20th century, as development of the science of engineering geology began to accelerate, engineering geological maps started to appear in various forms and at various scales to meet the challenge of making geological maps more suited to land-use planning, engineering design, building, construction and maintenance. Today, engineering geological maps are routinely used at various scales as part of the engineering planning, design and construction process. However, until recently there had been no comprehensive, readily available engineering geological map of the UK to provide the broad context for ground investigation. This paper describes the recently published (2011) 1:1 000 000 scale engineering geology superficial and bedrock maps of the UK. It describes the methodologies adopted for their creation and outlines their potential uses, limitations and future applications.

This report provides detailed (1:63,360-scale) mapping of the Tanana A-1 and A-2 quadrangles (500 square miles; equivalent to eight 7.5-minute quadrangles). The area is part of the Manley Hot Springs-Tofty mining districts and adjacent to the Rampart mining district to the south of the Tanana B-1 Quadrangle. This report includes detailed geologic construction materials and geologic hazards data. The Tanana A-1 and A-2 Quadrangles and surrounding area comprise several isolated mountainous ridges in the western Yukon-Tanana Upland of interior Alaska.

Map data (paper:A Method for Mapping Forest Fire Susceptibility: A Mediterranean case study in Southern Italy)

Analyzed papers

The data contained in these files are hydrographic and topographic data collected by the SHOALS-1000T system along the Delaware, Maryland, New Jersey, New York, North Carolina and Virginia coastline as part of the National Coastal Mapping Program. The lidar data for DE, MD, NJ and VA was collected from 20050824-20050908. The lidar data for NY and NC was collected from 20051001-20051126.

Origin...

800+ GIS Engineers with 25+ years of experience in geospatial, We provide following as Advance Geospatial Services:

Analytics (AI) Change detection Feature extraction Road assets inventory Utility assets inventory Map data production Geodatabase generation Map data Processing /Classifications
Contour Map Generation Analytics (AI) Change Detection Feature Extraction Imagery Data Processing Ortho mosaic Ortho rectification Digital Ortho Mapping Ortho photo Generation Analytics (Geo AI) Change Detection Map Production Web application development Software testing Data migration Platform development

AI-Assisted Data Mapping Pipeline AI models trained on millions of images are used to predict traffic signs, road markings , lanes for better and faster data processing

Our Value Differentiator

Experience & Expertise -More than Two decade in Map making business with 800+ GIS expertise -Building world class products with our expertise service division & skilled project management -International Brand “Mappls” in California USA, focused on “Advance -Geospatial Services & Autonomous drive Solutions”

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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for ocean mapping, geodesy and geomatics engineering in the U.S.

This publication contains open dataset for the journal publication "Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems".

The dataset contains the data extracted from 280 selected primary studies.

The dataset includes the following data:

study metadata (title, venue, publication year, authors, authors’ affiliation, abstract);

challenges to regulatory compliance (direct excerpts from studies);

categories of challenges to compliance;

principles and practices (direct excerpts from text);

categories of principles and practices;

types of automation of principles and practices;

involved stakeholders (direct excerpts from studies);

categories of involved stakeholders;

phase of the principle and practice life cycle for which involvement of stakeholders was considered;

SDLC process areas covered by the study;

regulations considered in the study;

fields of regulations that were considered;

domains of application that were considered;

assessment of rigor and relevance of the study.

The engineering-geologic map, on two sheets, is derived electronically from the surficial-geologic map of the initial segment of the proposed natural gas pipeline corridor through the upper Tanana valley (Reger and others, PIR 2008-3a) using Geographic Information System (GIS) software. Surficial-geologic units were initially identified by interpretation of false-color ~1:63,000-scale infrared aerial photographs taken in July 1978, August 1980, and August 1981 and locally verified by field checking in 2006 and 2007. The map shows the distribution of surficial-geologic and bedrock units grouped genetically with common properties that are typically significant for engineering applications.

This Level 1 (L1) dataset contains the Full Delay Doppler Map (DDM) sensor data from the Delay Doppler Mapping Instrument aboard the CYGNSS satellite constellation. The primary CYGNSS instrument, also known as the Delay-Doppler Mapping Instrument (DDMI), measures the incoming radio frequency (RF) streams from three input antenna channels (2 nadir oriented science antennas and one zenith oriented navigation antenna) and processes them in real time into DDMs, which are two-dimensional maps of the signal scattered from the Earth surface as a function of propagation time delay and Doppler frequency shift. DDMs are normally sampled over a restricted range of delay and Doppler values centered on the values at the specular point of reflection. The bit resolution of scattered signal strength is also truncated by a lossy data compression algorithm. Full DDMs are sampled over a wider range of delay and Doppler values and retain their full (lossless) bit resolution. Full DDM data records are typically 10-15 min in duration and are initiated by ground commands to coincide with an overpass by one of the spacecraft of a target area of interest.

The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: Office of the State Engineer Open Data Site - WATER DATAItem type: URLSummary: Office of the State Engineer Open Data Site - with Points of Diversion, Adjudications, ISC Regional Water Planning Areas, Administrative BoundariesNotes: Prepared by: Link uploaded by EMcRae_NMCDCSource: This is a web map interface provided and maintained by the Office of the State Engineer. Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=0a94ca44ed994a48b4e9ceb75809be2dUID: 68, 26Data Requested: availability of water, and soil water and land resourcesMethod of Acquisition: This map is publicly available. The Office of the State Engineers GIS team is friendly and there to offer assistance if needed. Date Acquired: Map identified and linked in May of 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 3, 5Tags: PENDING

During 2009, the Alaska Division of Geological & Geophysical Surveys continued a program, begun in 2006, of reconnaissance mapping of surficial geology in the proposed natural-gas pipeline corridor through the upper Tanana River valley. The study area is a 12-mi-wide (19.3-km-wide) area that straddles the Alaska Highway from the western boundaries of the Tanacross B-3 and A-3 quadrangles near Tetlin Junction eastward to the eastern boundaries of the Nabesna D-1 and C-1 quadrangles along the Canada border. Mapping during 2008-2009 in the Tanacross and Nabesna quadrangles linked with the mapping completed in the Tanacross, Big Delta and Mt. Hayes quadrangles in 2006-2008. Surficial geology was initially mapped in this third corridor segment by interpreting ~1:65,000-scale, false-color, infrared aerial photographs taken in July 1978 and August 1981 and plotting unit boundaries on acetate overlays. Verification of photo mapping was accomplished during the 2008 and 2009 summer field seasons, when map units were described, soil pits were hand dug, and samples were collected for analyses. The engineering-geologic map is derived electronically from the surficial-geologic map and shows the distribution of surficial-geologic and bedrock units grouped genetically with common properties that are typically significant for engineering applications.