The River Management Program provides technical and regulatory assistance for those activities that involve construction or excavation in rivers and streams. The River Management Engineers issue stream alteration permits and provide river diagnostics, alternatives analysis, project design, and construction inspection for instream work. They also provide technical and regulatory assistance for emergency and next-flood protective measures during flood recovery operations.

Military Districts of the U.S. Army Corp of EngineersThis U.S. Army Corp of Engineers (USACE) feature layer depicts USACE military districts. According to USACE, their mission is to "Deliver vital engineering solutions, in collaboration with our partners, to secure our Nation, energize our economy, and reduce disaster risk." USACE workforce is spread throughout the United States and in more than 91 foreign countries, providing reimbursable engineering expertise throughout the World.Mobile DistrictData currency: Federal service (USACE Military Districts)Data modification: NoneFor more information: Military MissionsFor feedback: ArcGIScomNationalMaps@esri.comU.S. Army Corp of EngineersPer USACE, "With environmental sustainability as a guiding principle, our disciplined Corps team is working diligently to strengthen our Nation’s security by building and maintaining America’s infrastructure and providing military facilities where our servicemembers train, work and live. We are also researching and developing technology for our war fighters while protecting America’s interests abroad by using our engineering expertise to promote stability and improve quality of life."

According to Cognitive Market Research, the global LiDAR Services market size is USD 1354.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 15.20% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 541.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 406.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 311.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 17.2% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 67.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 27.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.9% from 2024 to 2031.
In 2023, the GIS service category experienced significant growth in the LiDAR market.

Market Dynamics of LiDAR Services Market

Key Drivers for LiDAR Services Market

Rising Construction Sector is Driving Market Growth

The size and complexity of engineering and civil construction operations around the world have expanded dramatically to accommodate an ever-increasing population, particularly in developing countries. Technology is increasingly vital in all stages of construction, from surveying and mapping to project feasibility analysis. LiDAR technologies provide a precise and simple scan of large areas. Furthermore, laser scanners powered by global positioning systems and very sensitive cameras help engineers conduct precise feasibility studies and create designs that match project requirements. This has led to the expansion of several LiDAR service providers.

The increasing use of LiDAR-based UAVs drives the market

LiDAR maps the earth's surface with rapid laser pulses. The expanding usage of LiDAR-based unmanned aerial vehicles (UAVs) offers new surveying applications that can be accomplished at a lower cost than traditional approaches. The widespread use of unmanned aerial vehicles (UAVs) has boosted airborne LiDAR-based surveying and mapping applications. Unmanned vehicle-mounted LiDAR systems provide not only mobility and agility but also the capacity to reach terrain and circumstances where humans cannot. Professionals are increasingly turning to unmanned aerial vehicles (UAVs) for low-altitude photography, terrain mapping, and surveying.

Restraint Factor for the LiDAR Services Market

Cost Considerations

Cost considerations are a significant limitation on the LiDAR market, preventing widespread adoption across numerous industries. Despite major advances in LiDAR technology, the cost of producing high-quality LiDAR sensors remains a substantial obstacle, especially for enterprises and industries with limited budgets. The numerous components and precision engineering required for LiDAR systems add to their high production costs. In industries such as agriculture, urban planning, and environmental monitoring, where cost-effectiveness is critical, the affordability of alternative sensing technologies presents a competitive challenge to LiDAR adoption. Industries researching LiDAR integration frequently face the challenge of reconciling the technology's evident benefits with the financial repercussions of its use.

Impact of Covid-19 on the LiDAR Services Market

The Covid-19 epidemic appears to have wreaked havoc on the LiDAR services sector. Initially, it slowed the market due to supply chain disruptions, project delays, and lower expenditures in new technology. Many construction and automotive companies which use LiDAR services extensively, experienced a temporary drop in demand. However, as the epidemic spread, the necessity for contactless and remote sensing technology such as LiDAR grew. Industries implemented LiDAR technology to monitor social distancing, automated processes to reduce human touch, and increased overall safety precautions. As a result of this shift in demand, the LiDAR services market regained momentum. Introduction of the LiDAR Services Market

The light detection and ranging (LiDAR) system is a remote ...

Military Divisions of the U.S. Army Corp of EngineersThis U.S. Army Corp of Engineers (USACE) feature layer depicts USACE's military divisions. Per USACE, "Military Missions provide premier engineering, construction, real estate, stability operations, and environmental management products and services for the Army, Air Force, other assigned U.S. Government agencies and foreign governments."South Atlantic Military DivisionData currency: current federal service (USACE Military Divisions)Data modification: noneFor more information, please visit: Military MissionsFor feedback: ArcGIScomNationalMaps@esri.comU.S. Army Corp of EngineersPer USACE, "With environmental sustainability as a guiding principle, our disciplined Corps team is working diligently to strengthen our Nation’s security by building and maintaining America’s infrastructure and providing military facilities where our servicemembers train, work and live. We are also researching and developing technology for our war fighters while protecting America’s interests abroad by using our engineering expertise to promote stability and improve quality of life."

This operations dashboard shows historic and current data related to this performance measure.

The Location Intelligence Market size was valued at USD 17 Billion in 2023 and is projected to reach USD 60.5 Billion by 2032, exhibiting a CAGR of 15.6 % during the forecasts period. Market for location intelligence is hence defined by the utilization of spatial data and analytical methods as a means to derive and draw information and conclusions from information with reference to place details. Some of the applicability of a big data include supply chain management for efficiency, improvement of customers’ satisfaction, decision of strategic locations and optimization of assets among others. Usage extends to such fields as retail, real estate services, transportation and logistics, as well as urban. control and planning. The existing trends include the combination of AI and machine learning with GIS, the massive use of IoT devices for obtaining real-time data, and the steadily high demand for location marketing. The market is guerrilla driven by growth in GIS, availability of portable devices such as tablets, smart phones, mapping for better decision making take essential over operating efficiency and competitiveness. Recent developments include: In July 2023, Trimble announced the launch of Trimble Terra Office add-in. This innovative solution is a function of Trimble's TerraOffice suite of desktop solutions for the incorporation of TerraFlex data collection software with the GIS systems of record, which highlights the crucial role of location intelligence capabilities. , In June 2023, Qualcomm Technologies, Inc. announced the launch of advanced IoT-driven satellite solutions for seamless remote monitoring & asset tracking. These solutions include the Qualcomm 9205S Modem and Qualcomm 212S Modem chipsets with satellite functionalities. , In May 2023, Autodesk unveiled Autodesk Forma for cloud-driven next-gen building design. With a continued expansion of capabilities, Autodesk Forma has the potential to further boost location intelligence in the architecture, engineering, construction, and operations industry by streamlining automation, data, and machine learning to optimize the design process and accomplish sustainable results. , In March 2023, HERE Technologies announced a multi-year strategic collaboration with Iteris. This strategy was aimed at combining a broader suite of HERE’s location-based services with ClearMobility Platform of Iteris, comprising HERE Maps, HERE Traffic Products, and HERE platform services. , In March 2023, Autodesk announced its plans to acquire The Wild with the intent to leverage Extended Reality (XR) technology in the architecture, engineering, and construction (AEC) industry. The XR technology in the AEC arena represents a proliferating trend in the location intelligence market, presenting innovative ways for professionals to interact with project models, enhance efficiency, and attain better outcomes in projects. .

This parcels polygons feature class represents current city parcels within the City of Los Angeles. It shares topology with the Landbase parcel lines feature class. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most current geographic information of the public right of way, ownership and land record information. The legal boundaries are determined on the ground by license surveyors in the State of California, and by recorded documents from the Los Angeles County Recorder's office and the City Clerk's office of the City of Los Angeles. Parcel and ownership information are available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the landbase parcels is entered into attributes. Principal attributes include:PIN and PIND: represents the unique auto-generated parcel identifier and key to related features and tables. This field is related to the LA_LEGAL, LA_APN and LA_HSE_NBR tables. PIN contains spaces and PIND replaces those spaces with a dash (-).LA_LEGAL - Table attributes containing legal description. Principal attributes include the following:TRACT: The subdivision tract number as recorded by the County of Los AngelesMAP_REF: Identifies the subdivision map book reference as recorded by the County of Los Angeles.LOT: The subdivision lot number as recorded by the County of Los Angeles.ENG_DIST: The four engineering Districts (W=Westla, C=Central, V= Valley and H=Harbor).CNCL_DIST: Council Districts 1-15 of the City of Los Angeles. OUTLA means parcel is outside the City.LA_APN- Table attributes containing County of Los Angeles Assessors information. Principal attributes include the following:BPP: The Book, Page and Parcel from the Los Angeles County Assessors office. SITUS*: Address for the property.LA_HSE_NBR - Table attributes containing housenumber information. Principal attributes include the following:HSE_ID: Unique id of each housenumber record.HSE_NBR: housenumber numerical valueSTR_*: Official housenumber addressFor a complete list of attribute values, please refer to Landbase_parcel_polygons_data_dictionary.Landbase parcels polygons data layer was created in geographical information systems (GIS) software to display the location of the right of way. The parcels polygons layer delineates the right of way from Landbase parcels lots. The parcels polygons layer is a feature class in the LACityLandbaseData.gdb Geodatabase dataset. The layer consists of spatial data as a polygon feature class and attribute data for the features. The area inside a polygon feature is a parcel lot. The area outside of the parcel polygon feature is the right of way. Several polygon features are adjacent, sharing one line between two polygons. For each parcel, there is a unique identifier in the PIND and PIN fields. The only difference is PIND has a dash and PIN does not. The types of edits include new subdivisions and lot cuts. Associated legal information about the landbase parcels lots is entered into attributes. The landbase parcels layer is vital to other City of LA Departments, by supporting property and land record operations and identifying legal information for City of Los Angeles. The landbase parcels polygons are inherited from a database originally created by the City's Survey and Mapping Division. Parcel information should only be added to the Landbase Parcels layer if documentation exists, such as a Deed or a Plan approved by the City Council. When seeking the definitive description of real property, consult the recorded Deed or Plan.List of Fields:ID: A unique numeric identifier of the polygon. The ID value is the last part of the PIN field value.ASSETID: User-defined feature autonumber.MAPSHEET: The alpha-numeric mapsheet number, which refers to a valid B-map or A-map number on the Cadastral grid index map. Values: • B, A, -5A - Any of these alpha-numeric combinations are used, whereas the underlined spaces are the numbers. An A-map is the smallest grid in the index map and is used when there is a large amount of spatial information in the map display. There are more parcel lines and annotation than can fit in the B-map, and thus, an A-map is used. There are 4 A-maps in a B-map. In areas where parcel lines and annotation can fit comfortably in an index map, a B-map is used. The B-maps are at a scale of 100 feet, and A-maps are at a scale of 50 feet.OBJECTID: Internal feature number.BPPMAP_REFTRACTBLOCKMODLOTARBCNCL_DIST: LA City Council District. Values: • (numbers 1-15) - Current City Council Member for that District can be found on the mapping website http://navigatela.lacity.org/navigatela, click Council Districts layer name, under Boundaries layer group.SHAPE: Feature geometry.BOOKPAGEPARCELPIND: The value is a combination of MAPSHEET and ID fields, creating a unique value for each parcel. The D in the field name PIND, means "dash", and there is a dash between the MAPSHEET and ID field values. This is a key attribute of the LANDBASE data layer. This field is related to the APN and HSE_NBR tables.ENG_DIST: LA City Engineering District. The boundaries are displayed in the Engineering Districts index map. Values: • H - Harbor Engineering District. • C - Central Engineering District. • V - Valley Engineering District. • W - West LA Engineering District.PIN: The value is a combination of MAPSHEET and ID fields, creating a unique value for each parcel. There are spaces between the MAPSHEET and ID field values. This is a key attribute of the LANDBASE data layer. This field is related to the APN and HSE_NBR tables.

The Airborne Photography System market is experiencing robust growth, projected to reach $289.1 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 6.2% from 2025 to 2033. This expansion is driven by several key factors. Increasing demand for high-resolution imagery across diverse sectors, including military and defense (surveillance, mapping, and target acquisition), energy (pipeline inspection and infrastructure monitoring), agriculture (precision farming and crop monitoring), and civil engineering (construction progress tracking and site analysis), fuels market growth. Furthermore, technological advancements in drone technology, sensor capabilities, and data processing techniques are enabling higher accuracy, faster processing times, and broader accessibility, making airborne photography solutions increasingly cost-effective and efficient. The market segmentation reveals a strong preference for unmanned aerial vehicles (UAVs) due to their cost-effectiveness and operational flexibility. However, the use of helicopters and fixed-wing aircraft remains significant, particularly in applications requiring long-range coverage and heavy payload capacity. Geographic analysis indicates substantial market penetration in North America and Europe, driven by advanced technological infrastructure and a high concentration of industry players. Growth in the Asia-Pacific region is also anticipated due to increasing government spending on infrastructure development and adoption of precision agriculture techniques. The market's growth trajectory is expected to continue throughout the forecast period, propelled by continued innovation in sensor technology and the emergence of new applications, such as environmental monitoring and disaster response. Challenges remain, primarily regulatory hurdles related to drone operations and data privacy concerns. However, the industry is actively addressing these challenges through the development of standardized operating procedures and data security protocols. The competitive landscape is characterized by a mix of established players and emerging companies, fostering innovation and competition. The continued growth of the market indicates significant investment opportunities for companies involved in the development, manufacturing, and provision of airborne photography systems and related services.

The Kalochori Accelerometric Network (KAN) operates since 2014 in the broader urban area of Kalochori, 7km west of Thessaloniki in Northern Greece, as part of a multi-sensor scheme developed and implemented during the INDES-MUSA project (http://www.indes-musa.gr/) for earthquake motion and land subsidence monitoring. KAN refers to a dense urban network composed of seven accelerometric stations, including ground ("urban free-field") stations installed within different urban zones (residential, industrial and oil tanks zone) of the monitoring area, stations on top of selected structures within each urban zone and an open-ground free-field station away from the built environment. All the stations are documented with installation and operation features, available characteristics of the housing structures and geotechnical data of the stations sites. Following up on a previous data upload (DOI:10.6084/m9.figshare.5044804), referring to 78 earthquakes recorded by KAN between 2014 and 2016, an updated dataset is linked to this DOI with an extra set of 104 recorded earthquakes in the period January 2017 to March 2021. Thus, a dataset of 182 earthquakes in total is now disseminated, including filtered and unfiltered acceleration signals. KAN stations monographs and metadata of the recorded earthquakes are attached. An online demonstration of the Kalochori Accelerometric Network and dissemination of the filtered data is also provided through the Web-GIS platform: http://apollo.itsak.gr/apollo-portal/ApolloPro.aspx.

JALBTCX National Coastal Mapping Program Derived Products: Great Lakes & Ohio River DivisionThe layers depicted in this web map were developed to serve regional geospatial data needs of USACE Districts and agency partners to discover and download products derived from USACE National Coastal Mapping Program (NCMP) high resolution, topo-bathymetric lidar and imagery. The USACE NCMP acquires high-resolution, high-accuracy topographic/bathymetric lidar elevation and imagery on a recurring basis along the sandy shorelines of the US. The program's survey footprint includes an approximately 1-mile wide swath of topography, bathymetry and imagery 500-m onshore and 1000-m offshore. The standard suite of NCMP data products include topographic/bathymetric lidar point clouds, digital surface and elevation models, shoreline vectors and both true-color and hyperspectral imagery mosaics. Value-added derivative information products may include laser reflectance images, landcover classification images, volume change metrics, and the products to help address District project requirements. USACE Headquarters initiated the NCMP in 2004. The program's update cycle follows counter-clockwise along the US West Coast, Gulf Coast, East Coast and Great Lakes approximately every 5 years. Surveys in support of USACE project-specific missions and external partners are included constituent to the current NCMP schedule and reimbursable funding. All work is coordinated with Federal mapping partners through the Interagency Working Group on Ocean and Coastal Mapping (IWGOCM) and the 3D Elevation Program (3DEP).NCMP operations are executed by the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The JALBTCX mission is to perform operations, research and development in airborne lidar bathymetry and complementary technologies to support the coastal mapping and charting requirements of the US Army Corps of Engineers, the US Naval Meteorology and Oceanography Command and the National Oceanic and Atmospheric Administration. Survey operations are conducted worldwide using the Coastal Zone Mapping and Imaging (CZMIL) system and other industry-based coastal mapping and charting systems. CZMIL is JALBTCX's in-house survey capability that includes and Optech International, CZMIL 03-1 lidar instrument with simultaneous topographic and bathymetric capabilities. CZMIL is integrated with an Itres CASI-1500 hyperspectral imager and an 80 MP Leica RCD30 RGBN camera. CZMIL collects 10-kHz lidar data with spatially- and temporally-concurrent digital true-color and hyperspectral imagery.

The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) mission is to perform operations, research, and development in airborne lidar bathymetry and complementary technologies to support the coastal mapping and charting requirements of the US Army Corps of Engineers (USACE), the US Naval Meteorology and Oceanography Command, and the National Oceanic and Atmospheric Administration (NOAA). JALBTCX staff includes engineers, scientists, hydrographers, and technicians from the USACE Mobile District, the Naval Oceanographic Office (NAVOCEANO), the USACE Engineer Research and Development Center (ERDC), and NOAA National Geodetic Survey. JALBTCX executes survey operations worldwide using state-of-the-art topo/bathy lidar systems and other industry-based coastal mapping and charting systems. JALBTCX's latest in-house survey capability includes a Teledyne Optech CZMIL lidar instrument with simultaneous topographic and bathymetric capabilities. CZMIL is integrated with an Itres CASI-1500 hyperspectral imager and a 150 MP PhaseOne RGB camera. CZMIL collects 10-kHz lidar data with spatially- and temporally-concurrent digital true-color and hyperspectral imagery. Survey operations support the USACE National Coastal Mapping Program and NAVOCEANO nautical charting missions. The USACE National Coastal Mapping Program (NCMP) acquires high-resolution topographic/bathymetric lidar elevation and imagery on a recurring basis along the sandy shorelines of the US. The typical survey footprint includes an approximately 1-mile wide swath of topography, bathymetry, and imagery 500-m onshore and 1000-m offshore. The standard suite of NCMP data products include:topographic/bathymetric lidar point cloudsdigital surface modelsdigital elevation modelsNAVD88 0-meter shoreline vectorstrue-color and hyperspectral imagery mosaicsValue-added derivative information products may include:laser reflectance imageslandcover classification imagesvolume change metrics USACE Headquarters initiated the NCMP in 2004. The program's update cycle follows counter-clockwise along the US West Coast, Gulf Coast, East Coast and Great Lakes approximately every 5 years. Surveys in support of USACE project-specific missions and external partners are included constituent to the current NCMP schedule and reimbursable funding. All work is coordinated with Federal mapping partners through the Interagency Working Group on Ocean and Coastal Mapping and the 3D Elevation Program.

The Port and Port Statistical Area web service allows users to visualize and access two USACE enterprise-wide feature classes: the Port Feature Class and the Port Statistical Area Feature Class, both of which include polygon geometries used to generate statistics for commerce data and vessel movements. The GIS service includes attributes such as port name, boundary description, and associated legislative documentation.

USACE works with port authorities from across the United States to develop the statistical port boundaries through an iterative and collaborative process. Port boundary information is prepared by USACE to increase transparency on public waterborne commerce statistic reporting, as well as to modernize how the data type is stored, analyzed, and reported.

A Port Area is defined by the limits set by overarching legislative enactments of state, county, or city governments, or the corporate limits of a municipality. A port typically refers to a geographical area that includes operational activities related to maritime transport as well as acquisition, operation, and management of port infrastructure and property, such as might be associated with ownership, concession, construction approval, or policy decision-making authority.

A Port Statistical Area (PSA) is a region with formally justified shared economic interests and collective reliance on infrastructure related to waterborne movements of commodities that is formally recognized by legislative enactments of state, county, or city governments. PSAs generally contain groups of county legislation for the sole purpose of statistical reporting. Through GIS mapping, legislative boundaries, and stakeholder collaboration, PSAs often serve as the primary unit for aggregating and reporting commerce statistics for broader geographical areas.

Per Engineering Regulation 1130-2-520, the U.S. Army Corps of Engineers' Navigation Data Center is responsible to collect, compile, publish, and disseminate waterborne commerce statistics. This task has subsequently been charged to the Waterborne Commerce Statistics Center to perform. Performance of this work is in accordance with the Rivers and Harbors Appropriation Act of 1922. Included in this work is the definition of a port area. A port area is defined in Engineering Pamphlet 1130-2-520 as: (1) Port limits defined by legislative enactments of state, county, or city governments. (2) The corporate limits of a municipality. The USACE enterprise-wide port and port statistical area feature classes per EP 1130-2-520 are organized in SDSFIE 4.0.2 format.

Truck weighing facilities are necessary to: collect data for pavement researchmonitor single axle loads (ESAL’s)inspect trucks for safety violationsremove illegal trucks from the Illinois highway system.Other agencies (e.g., State Police, Department of Agriculture, Interstate Commerce Commission) also use weigh stations for inspection purposes. A weigh station provides a means to monitor vehicles for compliance with Federal Regulations and State statutes. Central Office Operations Weight Enforcement Engineer monitors all the weight scales along the state maintained highways. The map contains information to internal tracking and for planning. Parts of the data is used to feed external facing IDOT Weight Stations GIS layer.

The weigh station points show the location of the weigh station as well as site information including phone number, IDOT yard responsibility, scale number, ISP Troop and scale certification date.

Please contact the Central Office Operations Weight Enforcement Engineer for details or questions.

Main contact: Keith Donovan

This layer provides "bare earth" Digital Elevation Models developed by the USACE National Coastal Mapping Program (NCMP). The USACE NCMP acquires high-resolution, high-accuracy topographic/bathymetric lidar elevation and imagery on a recurring basis along the sandy shorelines of the US. The program's survey footprint includes an approximately 1-mile wide swath of topography, bathymetry and imagery 500-m onshore and 1000-m offshore. The standard suite of NCMP data products include topographic/bathymetric lidar point clouds, digital surface and elevation models, shoreline vectors and both true-color and hyperspectral imagery mosaics. Value-added derivative information products may include laser reflectance images, landcover classification images and volume change metrics.USACE Headquarters initiated the NCMP in 2004. The program's update cycle follows counter-clockwise along the US West Coast, Gulf Coast, East Coast and Great Lakes approximately every 5 years. Surveys in support of USACE project-specific missions and external partners are included constituent to the current NCMP schedule and reimbursable funding. All work is coordinated with Federal mapping partners through the Interagency Working Group on Ocean and Coastal Mapping (IWGOCM) and the 3D Elevation Program (3DEP).NCMP operations are executed by the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The JALBTCX mission is to perform operations, research and development in airborne lidar bathymetry and complementary technologies to support the coastal mapping and charting requirements of the US Army Corps of Engineers, the US Naval Meteorology and Oceanography Command and the National Oceanic and Atmospheric Administration. Survey operations are conducted worldwide using the Coastal Zone Mapping and Imaging (CZMIL) system and other industry-based coastal mapping and charting systems. CZMIL is JALBTCX's in-house survey capability that includes and Optech International, CZMIL 03-1 lidar instrument with simultaneous topographic and bathymetric capabilities. CZMIL is integrated with an Itres CASI-1500 hyperspectral imager and an 80MP Leica RCD30 RGBN camera. CZMIL collects 10-kHz lidar data with spatially- and temporally-coincident digital true-color and hyperspectral imagery.

This area has been categorized as a potential steep slope hazard area. The map does not purport to identify actual slope hazards or existing risks for specific properties. Depending upon the nature of any proposed development, further investigation of the site and a detailed evaluation of the slope hazard by a licensed geological engineer or engineering geologist may be recommended or even required. The information included on this map is subject to change without notice. King County makes no representations or warranties, expressed or implied, as to accuracy, completeness, timeliness, or rights to the use of such information. King County shall not be liable for any errors, omissions, or inaccuracies in such information regardless of their cause, and King County shall not be liable for any decision made, action taken, or action not taken by the user in reliance upon such information. This document is not intended for use as a surveyed product. King County shall not be liable for any general, special, indirect, incidental, or consequential damages including, but not limited to, lost revenues or lost profits resulting from the use or misuse of the information contained on this map. Any sale of this map is prohibited except by written permission of King County.http://www.kingcounty.gov/~/media/operations/GIS/documents/DPER-SS-hazard-map-disclaimer.aspx

This area has been categorized as a potential landslide hazard area. The map does not purport to identify actual landslide hazards or existing landslide risks for specific properties. Depending upon the nature of any proposed development, further investigation of the site and a detailed evaluation of the landslide hazard by a licensed geological engineer or engineering geologist may be recommended or even required. The information included on this map is subject to change without notice. King County makes no representations or warranties, expressed or implied, as to accuracy, completeness, timeliness, or rights to the use of such information. King County shall not be liable for any errors, omissions, or inaccuracies in such information regardless of their cause, and King County shall not be liable for any decision made, action taken, or action not taken by the user in reliance upon such information. This document is not intended for use as a surveyed product. King County shall not be liable for any general, special, indirect, incidental, or consequential damages including, but not limited to, lost revenues or lost profits resulting from the use or misuse of the information contained on this map. Any sale of this map is prohibited except by written permission of King County.http://www.kingcounty.gov/~/media/operations/GIS/documents/DPER-LS-hazard-map-disclaimer.aspx

USACE works with port authorities from across the United States to develop the statistical port boundaries through an iterative and collaborative process. Port boundary information is prepared by USACE to increase transparency on public waterborne commerce statistic reporting, as well as to modernize how the data type is stored, analyzed, and reported. A Port Area is defined by the limits set by overarching legislative enactments of state, county, or city governments, or the corporate limits of a municipality. A port typically refers to a geographical area that includes operational activities related to maritime transport as well as acquisition, operation, and management of port infrastructure and property, such as might be associated with ownership, concession, construction approval, or policy decision-making authority. A Port Statistical Area (PSA) is a region with formally justified shared economic interests and collective reliance on infrastructure related to waterborne movements of commodities that is formally recognized by legislative enactments of state, county, or city governments. PSAs generally contain groups of county legislation for the sole purpose of statistical reporting. Through GIS mapping, legislative boundaries, and stakeholder collaboration, PSAs often serve as the primary unit for aggregating and reporting commerce statistics for broader geographical areas. Per Engineering Regulation 1130-2-520, the U.S. Army Corps of Engineers' Navigation Data Center is responsible to collect, compile, publish, and disseminate waterborne commerce statistics. This task has subsequently been charged to the Waterborne Commerce Statistics Center to perform. Performance of this work is in accordance with the Rivers and Harbors Appropriation Act of 1922. Included in this work is the definition of a port area. A port area is defined in Engineering Pamphlet 1130-2-520 as: (1) Port limits defined by legislative enactments of state, county, or city governments. (2) The corporate limits of a municipality. The USACE enterprise-wide port and port statistical area feature classes per EP 1130-2-520 are organized in SDSFIE 4.0.2 format.

Map depicting the areas of responsibility for engineering operations technician (EOT).

The purpose of this website is to provide general information. All map layers and data on this site are for general reference only. The completeness, timeliness and availability of data are not immediately updated and the accuracy of such content and data is not guaranteed. Data presented on maps are cartographic renderings for general purpose use and information, and not intended for engineering, operations, or legal purposes.

Road segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network. (From ESRI Local Government Model "RoadCenterline" Feature)**This dataset was significantly revised in August of 2014 to correct for street segments that were not properly split at intersections. There may be issues with using data based off of the original centerline file. ** The column Speed Limit was updated in November 2014 by the Transportation Intern and is believed to be accurate** The column One Way was updated in November of 2014 by core GIS and is believed to be accurate.[MAXIMOID] A unique id field used in a work order management software called Maximo by IBM. Maximo uses GIS CL data to assign locations to work orders using this field. This field is maintained by the Transportation GIS specialists and is auto incremented when new streets are digitized. For example, if the latest digitized street segment MAXIMOID = 999, the next digitized line will receive MAXIMOID = 1000, and so on. STREET NAMING IS BROKEN INTO THREE FIELDS FOR GEOCODING:PREFIX This field is attributed if a street name has a prefix such as W, N, E, or S.NAME Domain with all street names. The name of the street without prefix or suffix.ROAD_TYPE (Text,4) Describes the type of road aka suffix, if applicable. CAPCOG Addressing Guidelines Sec 504 U. states, “Every road shall have corresponding standard street suffix…” standard street suffix abbreviations comply with USPS Pub 28 Appendix C Street Abbreviations. Examples include, but are not limited to, Rd, Dr, St, Trl, Ln, Gln, Lp, CT. LEFT_LOW The minimum numeric address on the left side of the CL segment. Left side of CL is defined as the left side of the line segment in the From-To direction. For example, if a line has addresses starting at 101 and ending at 201 on its left side, this column will be attributed 101.LEFT_HIGH The largest numeric address on the left side of the CL segment. Left side of CL is defined as the left side of the line segment in the From-To direction. For example, if a line has addresses starting at 101 and ending at 201 on its left side, this column will be attributed 201.LOW The minimum numeric address on the RIGHT side of the CL segment. Right side of CL is defined as the right side of the line segment in the From-To direction. For example, if a line has addresses starting at 100 and ending at 200 on its right side, this column will be attributed 100.HIGHThe maximum numeric address on the RIGHT side of the CL segment. Right side of CL is defined as the right side of the line segment in the From-To direction. For example, if a line has addresses starting at 100 and ending at 200 on its right side, this column will be attributed 200.ALIAS Alternative names for roads if known. This field is useful for geocode re-matching. CLASSThe functional classification of the centerline. For example, Minor (Minor Arterial), Major (Major Arterial). THIS FIELD IS NOT CONSISTENTLY FILLED OUT, NEEDS AN AUDIT. FULLSTREET The full name of the street concatenating the [PREFIX], [NAME], and [SUFFIX] fields. For example, "W San Antonio St."ROWWIDTH Width of right-of-way along the CL segment. Data entry from Plat by Planning GIS Or from Engineering PICPs/ CIPs.NUMLANES Number of striped vehicular driving lanes, including turn lanes if present along majority of segment. Does not inlcude bicycle lanes. LANEMILES Describes the total length of lanes for that segment in miles. It is manually field calculated as follows (( [ShapeLength] / 5280) * [NUMLANES]) and maintained by Transportation GIS.SPEEDLIMIT Speed limit of CL segment if known. If not, assume 30 mph for local and minor arterial streets. If speed limit changes are enacted by city council they will be recorded in the Traffic Register dataset, and this field will be updating accordingly. Initial data entry made by CIP/Planning GIS and maintained by Transportation GIS.[YRBUILT] replaced by [DateBuilt] See below. Will be deleted. 4/21/2017LASTYRRECON (Text,10) Is the last four-digit year a major reconstruction occurred. Most streets have not been reconstructed since orignal construction, and will have values. The Transportation GIS Specialist will update this field. OWNER Describes the governing body or private entity that owns/maintains the CL. It is possible that some streets are owned by other entities but maintained by CoSM. Possible attributes include, CoSM, Hays Owned/City Maintained, TxDOT Owned/City Maintained, TxDOT, one of four counties (Hays, Caldwell, Guadalupe, and Comal), TxState, and Private.ST_FROM Centerline segments are split at their intersections with other CL segments. This field names the nearest cross-street in the From- direction. Should be edited when new CL segments that cause splits are added. ST_TO Centerline segments are split at their intersections with other CL segments. This field names the nearest cross-street in the To- direction. Should be edited when new CL segments that cause splits are added. PAV_WID Pavement width of street in feet from back-of-curb to back-of-curb. This data is entered from as-built by CIP GIS. In January 2017 Transportation Dept. field staff surveyed all streets and measured width from face-of-curb to face-of-curb where curb was present, and edge of pavement to edge of pavement where it was not. This data was used to field calculate pavement width where we had values. A value of 1 foot was added to the field calculation if curb and gutter or stand up curb were present (the face-of-curb to back-of-curb is 6 in, multiple that by 2 to find 1 foot). If no curb was present, the value enter in by the field staff was directly copied over. If values were already present, and entered from asbuilt, they were left alone. ONEWAY Field describes direction of travel along CL in relation to digitized direction. If a street allows bi-directional travel it is attributed "B", a street that is one-way in the From_To direction is attributed "F", a street that is one-way in the To_From direction is attributed "T", and a street that does not allow travel in any direction is attibuted "N". ROADLEVEL Field will be aliased to [MINUTES] and be used to calculate travel time along CL segments in minutes using shape length and [SPEEDLIMIT]. Field calculate using the following expression: [MINUTES] = ( ([SHAPE_LENGTH] / 5280) / ( [SPEEDLIMIT] / 60 ))ROWSTATUS Values include "Open" or "Closed". Describes whether a right-of-way is open or closed. If a street is constructed within ROW it is "Open". If a street has not yet been constructed, and there is ROW, it is "Cosed". UPDATE: This feature class only has CL geometries for "Open" rights-of-way. This field should be deleted or re-purposed. ASBUILT field used to hyper link as-built documents detailing construction of the CL. Field was added in Dec. 2016. DateBuilt Date field used to record month and year a road was constructed from Asbuilt. Data was collected previously without month information. Data without a known month is entered as "1/1/YYYY". When month and year are known enter as "M/1/YYYY". Month and Year from asbuilt. Added by Engineering/CIP. ACCEPTED Date field used to record the month, day, and year that a roadway was officially accepted by the City of San Marcos. Engineering signs off on acceptance letters and stores these documents. This field was added in May of 2018. Due to a lack of data, the date built field was copied into this field for older roadways. Going forward, all new roadways will have this date. . This field will typically be populated well after a road has been drawn into GIS. Entered by Engineering/CIP. ****In an effort to make summarizing the data more efficient in Operations Dashboard, a generic date of "1/1/1900" was assigned to all COSM owned or maintained roads that had NULL values. These were roads that either have not been accepted yet, or roads that were expcepted a long time ago and their accepted date is not known. WARRANTY_EXP Date field used to record the expiration date of a newly accepted roadway. Typically this is one year from acceptance date, but can be greater. This field was added in May of 2018, so only roadways that have been excepted since and older roadways with valid warranty dates within this time frame have been populated.