Depicts the spatial location of areas showing the type of Recreation Opportunity Settings that exist. Recreation Opportunity Spectrum (ROS). Updated by Tetra Tech EC - June 6, 2005 - Renamed from rec_2005Edits to ROS in Mendenhall Glacier Recreation Area to align with 2006 and 2014 management plans by Tom Heutte 20210820The ROS feature class is initially derived from other entities in the GIS Data Dictionary (travel routes, developed recreation sites, etc.). Field knowledge and current management decisions such as Motorized Vehicle Use Maps, are utilized to confirm or adjust GIS-derived boundaries to reflect existing ROS settings. The complete process is included in the National ROS Inventory Mapping Protocol listed below, under "References". Associated National Applications: Forest Plan revision, water shed assessments, project level planning, and monitoring.

The spectrum of human impact.

This category of planning priorities in the CEC 2023 Land-Use Screens provides an estimate of terrestrial landscape condition based on the extent to which human impacts such as agriculture, urban development, natural resource extraction, and invasive species have disrupted the landscape across the State of California. It is based on the open-source logic modeling framework Environmental Evaluation Modeling System (EEMS) developed by Conservation Biology Institute (CBI). This multicriteria evaluation model result, last updated in 2016 and resolved at 1-kilometer square, spans values ranging from -1 to 1. The higher end of the spectrum indicates areas that are relatively intact based on the more than 30 input variables, and values in the lower end of the spectrum indicate where these human impacts to disturb the landscape and ecological function are relatively high.1 In the adapted version of the CBI Terrestrial Landscape Intactness given here, the dataset is partitioned into high and low categories based on the mean. Values of the dataset that lie above 0.3 are considered highly intact and are used as an exclusion. Values of the dataset that are less than or equal to 0.3 are allowed to remain in consideration for resource potential. Applying the partition at the mean allows for lands that are relatively more intact than disturbed to be considered for resource potential. The high category of landscape intactness given by this dataset is used as an exclusion in both the Core and SB 100 Terrestrial Climate Resilience Study screens. This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.More information about this layer and its use in electric system planning is available in the Land Use Screens Staff Report in the CEC Energy Planning Library.

[1] Degagne, R., J. Brice, M. Gough, T. Sheehan, and J. Strittholt. 2016. “Terrestrial Landscape Intactness 1 kilometer, California.” Conservation Biology Institute.https://databasin.org/datasets/e3ee00e8d94a4de58082fdbc91248a65/

This map is intended to depict physical features as they generally appear on the ground and may not be used to determine title, ownership, legal boundaries, legal jurisdiction, including jurisdiction over roads or trails, or access restrictions that may be in place on either public or private land. Obtain permission before entering private lands, and check with appropriate government offices for restrictions that may apply to public lands. Lands, roads, and trails within the boundaries of a national forest may be subject to restrictions on motor vehicle use. Obtain a Motor Vehicle Use Map, or inquire at the local Forest Service office for motor vehicle access information. Natural hazards may or may not be depicted on the map, and land users should exercise due caution. This map is not suitable for navigational use.

3D GIS Market Outlook

According to our latest research, the global 3D GIS market size is valued at USD 6.5 billion in 2024, with a robust compound annual growth rate (CAGR) of 16.1% projected from 2025 to 2033. By 2033, the market is forecasted to reach USD 27.7 billion, driven by the escalating adoption of 3D visualization technologies and the increasing need for advanced geospatial analytics across diverse industries. The market’s remarkable growth is underpinned by technological advancements, rising urbanization, and the growing demand for real-time data-driven decision-making in critical sectors such as urban planning, transportation, and disaster management.

The surge in demand for sophisticated spatial analytics and visualization tools is a primary growth driver for the 3D GIS market. With cities expanding rapidly and infrastructure projects becoming more complex, organizations are increasingly leveraging 3D GIS solutions to gain deeper insights into spatial relationships and patterns. These technologies enable precise modeling and simulation of urban environments, helping governments and enterprises optimize resource allocation and plan more efficiently. Additionally, the integration of artificial intelligence and machine learning with 3D GIS platforms is further enhancing their analytical capabilities, making them indispensable for smart city initiatives and future-ready infrastructure development.

Another significant growth factor is the rising adoption of cloud-based 3D GIS platforms, which offer scalability, flexibility, and cost-effectiveness. Cloud deployment allows organizations to access vast geospatial datasets and powerful analytics tools without the need for substantial upfront investments in hardware and IT infrastructure. This democratization of access has led to increased adoption among small and medium enterprises, as well as large organizations, fostering innovation and collaboration across geographies. The proliferation of Internet of Things (IoT) devices and the growing use of real-time data streams are also propelling the demand for cloud-based 3D GIS solutions, enabling seamless integration and improved situational awareness.

The expanding application spectrum of 3D GIS technology in areas such as environmental monitoring, disaster management, and utilities management is further fueling market growth. Governments and private entities are increasingly utilizing 3D GIS for risk assessment, emergency response planning, and resource optimization. For instance, in disaster management, 3D GIS enables detailed visualization of affected areas, facilitating swift and effective response strategies. In environmental monitoring, these systems assist in tracking changes in topography, vegetation, and water bodies, supporting sustainable development goals. The versatility and scalability of 3D GIS solutions are driving their adoption across multiple sectors, ensuring sustained market expansion over the forecast period.

Regionally, North America dominates the 3D GIS market owing to early technological adoption, substantial investments in smart infrastructure, and a robust ecosystem of solution providers. However, the Asia Pacific region is expected to witness the fastest growth, driven by rapid urbanization, government-led digital transformation initiatives, and increasing investments in infrastructure development. Europe also holds a significant market share, supported by stringent regulatory frameworks and a strong focus on sustainable urban planning. The Middle East & Africa and Latin America are gradually emerging as lucrative markets, propelled by growing awareness and the need for advanced geospatial solutions in urban and resource management.

Component Analysis

The 3D GIS market by component is segmented into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment holds the largest share, attributed to the continuous evolution of 3D mapping and visualization tools that enable users to model, analyze, and interpret complex spatial data. Advanced software platforms now offer seamless integration with other enterprise applications, support for real-time data processing, and enhanced user interfaces that cater to both technical and non-technical stakeholders. As organizations increasingly rely on analytics-driven insights for decision-making, the demand for robust 3D GIS software is set to remain high throughout the forecast period.&

This six inch pixel resolution color infrared aerial photography was flown between April 18, 2014 and April 26, 2014. The files are provided in JPEG2000, an open format supported by most GIS and CAD software packages. Its intended usage for viewing is 1" = 100. The photography has been orthorectified to meet National Map Accuracy Standards for its capture scale. The images are georeferenced to the Illinois State Plane, Eastern Zone, using the NAD83 NSRS2007 horizontal datum. Color InfraRed (CIR) imagery allows users to "see" the electromagnetic spectrum beyond the visible range. It does this by using the visible spectrum (red, green, blue) and combining it with the Near InfraRed (NIR) spectrum. CIR imagery is useful for determining the health of vegetation, which show up in various shades of red. It can also be helpful in identifying features like water, paved surfaces or non-vegetated areas, which appear black or grey respectively. The data set is tiled for dissemination into many separate tiles, each of which is 2500 feet on a side.

This three inch pixel resolution color infrared aerial photography was flown between March 20, 2018 to March 26, 2018. The files are provided in JPEG2000, an open format supported by most GIS and CAD software packages. Its intended usage for viewing is 1" = 100. The photography has been orthorectified to meet National Map Accuracy Standards for its capture scale. The images are georeferenced to the Illinois State Plane, Eastern Zone, using the NAD83 2011 horizontal datum. Color InfraRed (CIR) imagery allows users to "see" the electromagnetic spectrum beyond the visible range. It does this by using the visible spectrum (red, green, blue) and combining it with the Near InfraRed (NIR) spectrum. CIR imagery is useful for determining the health of vegetation, which show up in various shades of red. It can also be helpful in identifying features like water, paved surfaces or non-vegetated areas, which appear black or grey respectively. The data set is tiled for dissemination into many separate tiles, each of which is 2500 feet on a side.

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2022 National Agriculture Imagery Program (NAIP) imagery for Oregon. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2021 National Agriculture Imagery Program (NAIP) imagery for Minnesota. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

The Recreation Opportunity Spectrum (ROS) is the land classification system the Forest Service uses to describe recreation settings and opportunities across forest lands. ROS has six distinct classes in a continuum (primitive, semi-primitive non-motorized, semi-primitive motorized, roaded natural, rural, and urban) ranging from primitive and undeveloped settings to highly modified and developed settings. The level of access, development, and social encounters increases when moving from primitive to urban on the spectrum. The level of remoteness and solitude increases when moving from urban to primitive on the spectrum.

The GMUG’s existing ROS was inventoried and mapped using the Forest Service’s National Recreation Opportunity Spectrum Inventory Mapping Protocol, a geographic information system (GIS) mapping procedure that identifies mapping criteria and provides repeatable instructions to inventory, map, and classify existing ROS settings. This National mapping protocol is used to reduce variations within and across Forest Service administrative boundaries and helps the agency effectively communicate recreation settings and opportunities on the Forest to the public.

Using existing (inventoried) ROS as a starting point, the GMUG developed working draft desired ROS based on public comment, expert opinion, best available scientific information, and a need to address issues (FSH 1909.12 Chapter 20, section 23.23).

The working draft was refined into Alternative B in the DEIS as well as additional Alternatives A, C, and D. Four alternatives were also developed specific to winter conditions. There are a total of 8 datalayers represented in this dataset.

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2023 National Agriculture Imagery Program (NAIP) imagery for Arkansas.This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following:IDATE - Image acquisition dateSDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time -local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

The Recreation Opportunity Spectrum (ROS) is the land classification system the Forest Service uses to describe recreation settings and opportunities across forest lands. ROS has six distinct classes in a continuum (primitive, semi-primitive non-motorized, semi-primitive motorized, roaded natural, rural, and urban) ranging from primitive and undeveloped settings to highly modified and developed settings. The level of access, development, and social encounters increases when moving from primitive to urban on the spectrum. The level of remoteness and solitude increases when moving from urban to primitive on the spectrum. The GMUG’s existing ROS was inventoried and mapped using the Forest Service’s National Recreation Opportunity Spectrum Inventory Mapping Protocol, a geographic information system (GIS) mapping procedure that identifies mapping criteria and provides repeatable instructions to inventory, map, and classify existing ROS settings. This National mapping protocol is used to reduce variations within and across Forest Service administrative boundaries and helps the agency effectively communicate recreation settings and opportunities on the Forest to the public. Using existing (inventoried) ROS as a starting point, the GMUG developed a working draft of desired ROS based on public comment, expert opinion, best available scientific information, and a need to address issues (FSH 1909.12 Chapter 20, section 23.23). The working draft was refined into Alternative B in the Draft Environmental Impact Statement (EIS) as well as additional Alternatives A, C, and D. Alternative B became the Preferred Alternative in the Final EIS and Alternative A became the No Action Alternative. Four alternatives were also developed specific to winter conditions. These data were last updated on May 16, 2024.ReferencesESRI. 2011. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.USFS. 2019, August. National Recreation Opportunity Spectrum (ROS) Inventory Mapping Protocol. Technical Guide.

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2021 National Agriculture Imagery Program (NAIP) imagery for Delaware. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

This hosted feature layer is provided by the USDA Aerial Photography Field Office (APFO) and shows image acquisition dates for 2020 National Agriculture Imagery Program (NAIP) imagery for Michigan. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2023 National Agriculture Imagery Program (NAIP) imagery for Montana. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2022 National Agriculture Imagery Program (NAIP) imagery for Missouri. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

This dataset represents the recreation opportunity spectrum management area for alternative E. The 2012 Planning Rule defined a management area as “a land area identified within the planning area that has the same applicable plan components”. The dataset does not include private lands or Giant Sequoia National Monument.The Recreation Opportunity Spectrum (ROS) defines the types of outdoor recreation opportunities on a National Forest. The ROS uses physical, social, and managerial attributes that when combined with activity types, result in a desired experience. The ROS represents the desired (future) conditions on the forest, so they may differ from current conditions.Primitive:Maximum opportunity for isolation from human-made sights and sounds in an unmodifiednatural environment. Users face high degrees of challenge and risk, use outdoor skills, and have minimal contact with other users. Facilities are rare and, if present, are essential for resource protection. Motorized use is prohibited. Mountain bike use is permitted outside of designated wilderness. All designated and recommended wilderness in the different alternatives are classified as Primitive.Semi-Primitive Non-Motorized: Some opportunity for isolation from human-made sights and sounds in a predominantly unmodified environment. Users face moderate challenge and risk, use outdoor skills, and have a high degree of interaction with the natural environment. User concentration is low, but evidence of users is present. Provided facilities are for resource protection and public safety. Motorized use is prohibited. Mountain bike use is permitted. Semi-Primitive Motorized: Some opportunity for isolation from human-made sights and sounds in a predominantly unmodified environment. Users face moderate challenge and risk, use outdoor skills, and have a high degree of interaction with the natural environment. User concentration is low, but evidence of users is present. Provided facilities are for resource protection and public safety. Motorized use is permitted.Roaded Natural: Similar opportunities to either affiliate with others or be isolated from human-made sights and sounds. Landscape is natural with modifications moderately evident. User concentration is low to moderate, but group facilities may be present. Challenge and risk opportunities are generally low. Opportunities for both motorized and non-motorized activities exist. Facilities incorporate conventional motorized uses.Rural: This setting is a substantially modified natural environment. There are opportunities to affiliate with others. The convenience of recreation sites and opportunities are more important than a natural setting. Human-made sights and sounds are readily evident, and the user-concentration is often moderate to high. Developed sites, roads, and trails are designed for moderate to high use.

Sussex County, NJ Open Data InitiativeThe Sussex County, NJ Open Data Initiative provides open access to a wide variety of county level GIS resources. Users such as policy makers, researchers, community members, students, and more can use this data for informed decision making across a broad spectrum of projects.

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2021 National Agriculture Imagery Program (NAIP) imagery for Maine. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

BioMap is the result of an ongoing collaboration between MassWildlife and the Massachusetts Chapter of The Nature Conservancy (TNC). Since its inception in 2001, this comprehensive tool has become a trusted source of information to guide conservation that is used by a wide spectrum of conservation practitioners. Today’s BioMap builds on previous iterations with the continuing goal of protecting the diversity of species and natural ecosystems within the Commonwealth. BioMap is an important tool to guide strategic protection and stewardship of lands and waters that are most important for conserving biological diversity in Massachusetts.More details...