The global drone aerial mapping services market is projected to reach a value of 1197 million USD by 2033, exhibiting a CAGR of 17.1% during the forecast period (2023-2033). The increasing demand for accurate and timely data for various applications, such as land survey, environmental monitoring, and disaster management, is driving the growth of this market. Additionally, the advancements in drone technology, including improved camera resolution, longer flight times, and autonomous navigation systems, are making aerial mapping more efficient and cost-effective. The market for drone aerial mapping services is segmented based on application (land survey, environmental monitoring, disaster management, construction, precision agriculture, etc.), type (photogrammetry, LiDAR, thermal imaging, multispectral imaging, etc.), and region (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa). North America currently holds the largest market share, followed by Europe and Asia-Pacific. However, the Asia-Pacific region is expected to witness the highest growth rate during the forecast period, owing to the increasing adoption of drone technology in various industries. Key players in the market include Westwood Group, AUAV, FlyGuys, Dronitech, ProAerial Media, Toll Uncrewed Systems, Drone Services Ireland, RaSmith, Montana Drone Company, Titletown Drones, Goldsmith, Equinox, Florida Aerial Survey Technologies, Arizona Surveying, SmartDrone, Leading Edge LS, Image Inventions, Charlotte UAV, Bryant Associates, Chattanooga Land Surveying, Aeroviews, TejjyInc, Chris Nelson & Associates.

Compilation of data used to generate figures and tables in the manuscript. This dataset is associated with the following publication: Hernandez, C., L. Sharpe, C. Jackson, M. Harwell, and T. DeWitt. Connecting Stakeholder Priorities and Desired Environmental Attributes for Wetland Restoration Using Ecosystem Services and a Heat Map Analysis for Communications. Frontiers in Ecology and Evolution. Frontiers, Lausanne, SWITZERLAND, 12: 1290090, (2024).

Surveying And Mapping Services Market Size And Forecast

Surveying And Mapping Services Market size was valued at $ 9.57 Bn in 2023 and is projected to reach $ 14.09 Bn by 2031, growing at a CAGR of 8%

Global Surveying And Mapping Services Market Drivers

The market drivers for the Surveying And Mapping Services Market can be influenced by various factors. These may include:

Increasing Demand for Geospatial Data: The growing need for accurate geospatial data across various sectors, including construction, urban planning, & environmental monitoring, is significantly driving the surveying & mapping services market. Governments and private organizations increasingly rely on this data for decision-making, resource management, & infrastructure development. As industries expand and complex projects emerge, the demand for comprehensive surveys and mapping services will likely proliferate, promoting investment & innovation in data collection & analysis methodologies that benefit diverse applications.

Environmental Sensitivity Index (ESI) data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. Coastal species that are listed as threatened, endangered, or as a species of concern, by either federal or state governments, are a primary focus. A subset of the ESI data, the ESI Threatened and Endangered Species (T&E) databases focus strictly on these...

Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Environmental Learning Centers dataset.

Map Package OverviewThis map package includes all of the layers from the NTIA Permitting and Environmental Information Application. The layers included are all feature services from various Federal and State agencies. The map package was created with ArcGIS Pro 3.4.0. The map package was created to allow users easy access to all feature services including symbology. The map package will allow users to avoid downloading datasets individually and easily incorporate into their own GIS system. The map package includes three maps.1. Permitting and Environmental Information Application Layers for GIS Analysis - This map includes all of the map tabs shown in the application, except State Data which is provided in another tab. This map includes feature services that can be used for analysis with other project layers such as a route or project area. 2. Permitting and Environmental Information Application Layers – For Reference Only - This map includes layers that cannot be used for analysis since they are either imagery or tile layers.3. State Data - Reference Only - This map includes all relevant state data that is shown in the application.This map package was created on Dec.19th, 2024. It will be updated quarterly to reflect the latest changes in the application. If you have any questions regarding the map package please e-mail IFA Analytics.The NTIA Permitting and Environmental Information Application was created to help with your permitting planning and environmental review preparation efforts by providing access to multiple maps from publicly available sources, including federal review, permitting, and resource agencies. The application should be used for informational purposes only and is intended solely to assist users with preliminary identification of areas that may require permits or planning to avoid potentially significant impacts to environmental resources subject to the National Environmental Policy Act (NEPA) and other statutory requirements. Multiple maps are provided in the application which are created from public sources. This application does not have an exhaustive list of everything you need for permitting or environmental review for a project but is an initial starting point to see what might be required.DisclaimerThe NTIA Permitting and Environmental Information Application and Map Package should be used for informational purposes only and is intended solely to assist users with preliminary identification of broadband deployments that may require permits or planning to avoid potentially significant impacts to environmental resources subject to National Environmental Policy Act (NEPA) and other statutory requirements. Use of the Application presumes familiarity with training information provided for the tool. The Application is not an exhaustive or complete resource and does not and is not intended to substitute for, supersede, modify, or otherwise alter any applicable statutory or regulatory requirements, or the specific application requirements set forth in any NTIA NOFO, Terms and Conditions, or Special Award Condition. In all cases, statutory and regulatory mandates, and the requirements set forth in NTIA grant documents, shall prevail over any inconsistencies contained in these templates.The Application and Map Package relies on publicly available data available on the websites of other federal, state, local, and Tribal agencies, and in some instances, private organizations and research institutions. While NTIA continues to make amendments to its websites to comply with Section 508, NTIA cannot ensure Section 508 compliance of federal and non-federal websites or resources users may access from links on NTIA websites.

All data is presented “as is,” “as available” for informational purposes. NTIA does not warrant the accuracy, adequacy, or completeness of this information and expressly disclaims liability for any errors or omissions.

Environmental Data from NHDES

The Geographic Information System (GIS) Services market is experiencing robust growth, driven by increasing adoption across various sectors. While the provided data lacks specific market size figures, based on industry reports and observed trends in related technology sectors, we can estimate a 2025 market size of approximately $15 billion USD. This reflects the significant investments being made in spatial data infrastructure and the growing demand for location-based analytics. Assuming a Compound Annual Growth Rate (CAGR) of 8%, the market is projected to reach roughly $25 billion by 2033. Key drivers include the rising need for precise mapping and location intelligence in environmental management, urban planning, and resource optimization. Furthermore, advancements in cloud-based GIS platforms, the increasing availability of big data, and the development of sophisticated geospatial analytics tools are fueling market expansion. The market is segmented by service type (Analyze, Visualize, Manage, Others) and application (primarily Environmental Agencies, but also extending to various sectors such as utilities, transportation, and healthcare). North America currently holds a significant market share due to early adoption and advanced technological infrastructure. However, regions like Asia-Pacific are demonstrating rapid growth, driven by increasing urbanization and infrastructure development. While the lack of readily available detailed market figures presents a challenge for complete precision in projection, the overall trend points to a considerable expansion of the GIS services sector over the forecast period. The competitive landscape is characterized by a mix of large multinational corporations like Infosys and Intellias and smaller, specialized firms like EnviroScience and R&K Solutions, reflecting the diverse needs of the market. These companies compete based on their technological capabilities, industry expertise, and geographical reach. The ongoing integration of GIS with other technologies, such as artificial intelligence (AI) and machine learning (ML), will further shape the market landscape, creating opportunities for innovation and differentiation. Challenges include the high initial investment costs associated with implementing GIS solutions and the need for skilled professionals to effectively utilize these technologies. However, the long-term benefits of improved decision-making and operational efficiency are driving wider adoption despite these hurdles. The future growth of the GIS services market hinges on the continued development of innovative technologies and the increasing awareness of the value that location-based insights provide across various industries.

INSPIRE view service for harmonized spatial dataset "The State Environmental Monitoring - The Integrated Monitoring of the Natural Environment" (WMS). The data published by the service comes from the CIEP file database, which is a copy of data on Integrated Monitoring of the Natural Environment (the source database operates at University of Adam Mickiewicz (UAM)). The view service meets the INSPIRE specification requirements (INSPIRE View Service). The service uses the WMS OGC interface version 1.3.0.

The global UAV Aerial Survey Services market is experiencing robust growth, driven by increasing demand across diverse sectors. Technological advancements in drone technology, offering higher resolution imagery and improved data processing capabilities, are significantly contributing to this expansion. The market's versatility, providing cost-effective and efficient solutions for various applications, further fuels its growth. Specific sectors like construction, agriculture, and energy are key drivers, utilizing UAV surveys for site mapping, precision agriculture, pipeline inspections, and environmental monitoring. While regulatory hurdles and data security concerns present challenges, the market is overcoming these limitations through the development of standardized operating procedures and robust data encryption techniques. Assuming a conservative CAGR of 15% (a reasonable estimate given the rapid technological advancements and increasing adoption rates in this sector), and a 2025 market size of $2 billion, the market is projected to reach approximately $4.2 Billion by 2033. This substantial growth is further fueled by the increasing affordability and accessibility of UAV technology, enabling more businesses to leverage aerial survey services. The segmentation of the UAV Aerial Survey Services market reveals that orthophoto and oblique image services are widely utilized, catering to diverse application needs. Forestry and agriculture are dominant sectors, with construction, power and energy, and oil & gas industries rapidly adopting this technology. Regional analysis highlights strong growth in North America and Asia-Pacific, driven by significant investments in infrastructure development and agricultural modernization. Europe follows closely, spurred by government initiatives promoting sustainable development and environmental monitoring. The competitive landscape includes both established players like Kokusai Kogyo and Zenrin, and emerging specialized companies, indicating a dynamic and competitive market with potential for further consolidation and innovation. The continued development of advanced data analytics capabilities, integrated with UAV imagery, will create new opportunities and drive market expansion.

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the primary WMS.

This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef and its neighbouring coast, the Wet Tropics rainforests and Torres Strait. It also includes lots of reference datasets that provide context for the research data. These reference datasets are sourced mostly from state and federal agencies. In addition to this a number of reference basemaps and associated layers are developed as part of the eAtlas and these are made available through this service.

This services also delivers map layers associated with the Torres Strait eAtlas.

This web map service is predominantly set up and maintained for delivery of visualisations through the eAtlas mapping portal (http://maps.eatlas.org.au) and the Australian Ocean Data Network (AODN) portal (http://portal.aodn.org.au). Other portals are free to use this service with attribution, provided you inform us with an email so we can let you know of any changes to the service.

This WMS is implemented using GeoServer version 2.3 software hosted on a server at the Australian Institute of Marine Science. Associated with each WMS layer is a corresponding cached tiled service which is much faster then the WMS. Please use the cached version when possible.

The layers that are available can be discovered by inspecting the GetCapabilities document generated by the GeoServer. This XML document lists all the layers, their descriptions and available rendering styles. Most WMS clients should be able to read this document allowing easy access to all the layers from this service.

For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/maps/wms?"

Note: this service has over 1000 layers and so retrieving the capabilities documents can take a while.

This services is operated by the Australian Institute of Marine Science and co-funded by the National Environmental Research Program Tropical Ecosystems hub.

Environmental Justice neighborhoods are the focus of the state's Executive Office of Energy and Environmental Affairs' (EEA) Environmental Justice (EJ) Policy, which establishes EJ as an integral consideration in all EEA programs, to the extent applicable and allowable by law. For more information please visit EEA's Environmental Justice Web page, which includes a detailed fact sheet as well as text of the full policy.More details...Polygons in the 2020 Environmental Justice (EJ) Populations layer are 2020 Census block groups across the state that meet one or more of the criteria listed below. (i) the annual median household income is not more than 65 percent of the statewide annual median household income; (ii) minorities comprise 40 percent or more of the population; (iii) 25 percent or more of households lack English language proficiency; or (iv) minorities comprise 25 percent or more of the population and the annual median household income of the municipality in which the neighborhood is located does not exceed 150 percent of the statewide annual median household income.Map service also available.

This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (http://enviroatlas.epa.gov/EnviroAtlas/DataFactSheets).

This is an open data site for NHDES environmental data, maps, and apps.

The data in this feature service uses the same polygons as the MassGIS USGS 1:24,000 Surficial Geology data layer and includes minimum, maximum, and average hydraulic conductivity in feet per day for each surficial unit. Hydraulic conductivity values were extracted from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 165 aquifer tests or aggregates of aquifer tests depending on the available data in each report).The Hydrogeologic Atlas of Massachusetts provides data on the hydraulic properties of the statewide surficial aquifers. The datasets were developed using surficial geology, bedrock altitude, a statewide groundwater flow model, and a compilation of hydraulic property data from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 23 sources).\One of the goals of this project was to understand current and projected future groundwater flooding risks across the state. To understand groundwater flooding risks, we developed a statewide three-dimensional groundwater flow model to simulate the water table elevation. The Hydrogeologic Atlas of Massachusetts compiles new datasets developed as input into the groundwater model, groundwater model simulation results, and other statewide map products created through this project. For further information regarding the methods of this study see Corkran et al. (2024), a report submitted to the Massachusetts Executive Office of Energy and Environmental Affairs.Suggested Citation:Corkran, D., Kirshen, A., Moran, B.J., Blin, N., King, R., Bresee, M., & Boutt, D. (2024). Massachusetts State-wide Groundwater Model and Flooding Risk Assessment 1.0. Report funded by the Massachusetts Executive Office of Energy and Environmental Affairs and published on the ResilientMass website.See full metadata and the map service.

This data publication contains multiple maps of Puerto Rico scanned at 600 dots per inch: full map scans, scans clipped to mapped areas only, and georeferenced scans of 1:10,000-scale land-use maps from 1950-1951 that were produced by the Rural Land Classification Program of Puerto Rico, a project led by Dr. Clarence F. Jones of Northwestern University. These historical maps classified land use and land cover into 20 different classes, including 13 different types of crops, two classes of forests, four classes of grasslands and other areas, which is a general class for non-rural areas. This package includes maps from 76 out of the 78 municipalities of Puerto Rico, covering 422 quadrangles of a 443-quadrangle grid for mainland Puerto Rico. It excludes the island municipalities of Vieques and Culebra, Mona Island and minor outlying islands.The Rural Land Classification Program of Puerto Rico produced 430 1:10,000-scale maps. That program also produced one island-wide land-use map with more generalized delineations of land use. Previously, Kennaway and Helmer (2007) scanned and georeferenced the island-wide map, and they converted it to vector and raster formats with embedded georeferencing and classification. This data publication contains the higher-resolution maps, which will provide more precise historical context for forests. It will better inform management efforts for the sustainable use of forest lands and to build resilience and resistance to various future disturbances for these and other tropical forest landscapes.

The maps were scanned and georeferenced to help with the planning and application process for the USDA Forest Service (USDA) Forest Legacy Program, a competition-based program administered by the USDA Forest Service in partnership with State agencies to encourage the protection of privately owned forest lands through conservation easements or land purchases. Geospatial products and maps will also be used by personnel at the Department of Natural and Environmental Resources and partners in Non-Governmental Organizations working with the Forest Stewardship Program. This latter program provides technical assistance and forest management plans to private landowners for the conservation and effective management of private forests across the US. The information will provide local historical context on forest change patterns that will enhance the recommendations of forest management practices for private forest landowners. These data will also be useful for urban forest professionals to understand the land legacies as a basis for planning green infrastructure interventions.

Data depict the rural areas of Puerto Rico around 1951 and how they were classified by geographers then. Having it georeferenced allows managers, teachers, students, the public and scientists to compare how these classifications have changed throughout the years. It will allow more precise identification and mapping of the past land use of present forests, forest stand age, and the past juxtaposition of different land uses relative to each other. These factors can affect forest species composition, biodiversity and ecosystem services. Forest stand age, past land-use type and past disturbance type, forest example, help gauge current forest structure, carbon storage, or rates of carbon accumulation. Another example of how the maps are important is for understanding how watersheds have changed through time, which helps assess how forest ecosystem services related to hydrology evolve. These maps will also help gauge how the forests of Puerto Rico are responding to recent disturbances, and how past disturbances over a range of scales relate to these responses.For more information on the Rural Land Classification Program of Puerto Rico, generated maps, and the island-wide land-use map, please see Jones (1952), Jones and Berrios (1956), as well as Kennaway and Helmer (2007).

The Web Service Map Areas of Environmental Risk for River Flood T=500 years allows the visualisation and consultation of the data set of the environmental risk maps (areas) corresponding to a scenario of low probability of flooding (return period of 500 years), taking into account the information related to water bodies, catchments, recreational areas and Habitats. The URL of the WMS Service Map of Environmental Risk Areas for River Flood T=500 years is: https://wms.mapama.gob.es/sig/Agua/Riesgo/AreaImp_500/wms.aspx The reference systems offered by this service are: — For geographical coordinates: CRS: 84, EPSG: 4230 (ED50), EPSG: 4326 (WGS 84), EPSG: 4258 (ETRS 89). — For U.T.M coordinates: EPSG:32628 (WGS 84/UTM zone 28N), EPSG:32629 (WGS 84/UTM zone 29N), EPSG:32630 (WGS 84/UTM zone 30N), EPSG:32631 (WGS 84/UTM zone 31N), EPSG:25828 (ETRS 89/UTM zone 28N), EPSG:25829 (ETRS 89/UTM zone 29N), EPSG:25830 (ETRS 89/UTM zone 30N), EPSG:25831 (ETRS 89/UTM zone 31N), EPSG:23028 (ED50/UTM zone 28N), EPSG:23029 (ED50/UTM zone 29N), EPSG:23030 (ED50/UTM zone 30N), EPSG:23031 (ED50/UTM zone 31N).

This data set contains vector polygons representing the boundaries of all hardcopy cartographic products and digital data extents produced as part of the Environmental Sensitivity Index (ESI) for Southern California. This data set comprises a portion of the ESI data for Southern California. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.Please note that this data was selected from a larger dataset for use in the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/When within the San Diego Ocean Planning Partnership web mapping application, clicking on a polygon will present a link to an online version of the map. To add the data itself to the application, please use the add data widget and the following web service URL: https://idpgis.ncep.noaa.gov/arcgis/rest/services/NOS_ESI/ESI_SouthernCalifornia_Data/MapServer

This dataset contains the Natural Areas of Wildlife and Floristic Ecological Interest (ZNIEFF) type 2 for the department of Orne. The ZNIEFF inventory was launched at the initiative of the Ministry responsible for the Environment in 1982, with the support of the National Museum of Natural History of Paris (MNHN). The ZNIEFF inventory is a national scientific inventory of rare or threatened elements. The ZNIEFF inventories are created and brought to the attention of the contracting authorities in accordance with Articles L. 310-1 and L. 411-5 of the Environmental Code. Type 2 ZNIEFFs concern natural, rich and unmodified sets with significant biological potentials. They may include several point type 1 zones and intermediate media of lower value but having a functional role and ecological and landscape coherence. ZNIEFFs are elements established on the basis of criteria that relate the presence, within a defined perimeter, of critical species and/or habitats. They therefore inform the contracting authority in the exercise of taking account of environmental issues (Articles L. 121-1, L. 123-1 and R. 123-2 of the Code de l’Urbanisme). The case-law has highlighted the need to provide for the necessary protection of these areas in urban planning documents, as well as their inclusion in analyses of the impacts of development projects. In addition, ZNIEFF inventories often point to the presence of protected species pursuant to Articles L.411-1 to L. 411-6 of the Code de l’Environnement, which provide, in particular, for the prohibition of the destruction of individuals and the prohibition of the destruction or alteration of habitats specific to those protected animal or plant species. Therefore, due attention should be paid in the event of a known or suspected presence (which therefore remains to be confirmed through field studies) of species or habitats of protected species. The principle of a periodic update was recorded and officially launched by the Ministry in 1995, which makes it possible to know the evolution of the environment. The update program changes the inventory methodology, the ZNIEFFs are now defined through a list of critical species and a list of critical habitats based on regional criteria. The descriptions are more precise (different taxa taken into account rather than just botany or ornithology) and the definition of the perimeter is argued. Proposals are validated at two levels: the Regional Scientific Council of Natural Heritage (CSRPN) and the National Museum of Natural History of Paris (MNHN).

LC approach: set of ecosystem service maps based on land cover; EV approach: set of ecosystem service maps based on environmental variables. JRC approach: set of data driven ecosystem service maps. IVM approach: set of ecosystem service maps of intermediate complexity.Overview of the ecosystem service datasets analysed in this study.