1:24,000 scale Geologic Map and Sections of the Riepetown quadrangle, White Pine County, Nevada, USGS GQ-758. Detailed geologic mapping by Arnold L. Brokaw and Patrick J. Barosh in 1968. Geologic Map includes 2 cross sections and description of 14 units. The GIS work was in support of the U.S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for a variety of geologic maps. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. For more info about this map resource or to download and view this map and associated GIS zipped data-set, please see links provided.

CDFW BIOS GIS Dataset, Contact: VegCAMP Vegetation Classification and Mapping Program, Description: This fine-scale vegetation classification and map of the Pine Creek and Fitzhugh Creek Wildlife Areas, Modoc County, California was created following FGDC and National Vegetation Classification Standards by the California Department of Fish and Game Vegetation Classification and Mapping Program VegCAMP.

This publication includes a black and white georeferenced 1903 map of Cooper River holdings of the E.P. Burton Company from the publication “Working plan for forest lands in Berkeley County, South Carolina”. The map includes the area of the Santee Experimental Forest.The 1903 map of Cooper River holdings shows the stock of pine and cypress trees in stands within and around the Santee Experimental Forest.Original map is currently archived at the National Archives in Atlanta, Georgia.

High Quality Successional and Native Forests of Tallahassee and Leon County, Florida. This feature class was created as part of the Environmentally Sensitive Areas (ESA) Mapping Project.The Native and High Quality Successional Forests were mapped in GIS as part of a larger Environmentally Sensitive Areas (ESA) mapping project, which was a collaborative effort between the city and county growth management departments, the planning department and TLCGIS. This project was driven out of a need for better data that was standardized county-wide to support environmental resource planning, protection and regulation, etc. It was also needed to support public works and emergency management. Additionally, the Tallahassee-Leon County Comprehensive Plan Conservation Element Objectives and Policies required compilation and maintenance of maps of conservation and preservation features, effective 1990--the same year that the GIS Interlocal office was created. Prior to this in 1988, the original ESA data layers were mapped by environmental professionals and stormwater engineers working in what was then called the Leon County Department of Public Works. The data was drawn onto USGS quad maps (base) using mylar overlays (scale 24,000)--drainage basins were also mapped. It was supported by a Department of Community Affairs grant, and there was assistance from the FSU Geography Department. The Native and HQS Forests were identified using DOT Vegetation Inventory Maps, USFS Soils and Vegetation maps, some aerial photo review, and ground truthing.In 1996 a proposal was brought to the GIS Executive Committee by the departments as an ESA Remap Project that would map the layers (also Greenways) at larger scales of 1,200 and 2,400 using the new GIS base map. The project was funded by the TLCGIS. The layers were mapped by OPS environmental/biology students and graduates with oversight by the departments.Native and HQS Forests originally mapped on the quad maps were then heads up digitized into the GIS using base map data and two sets of digital aerial photos from '94 & '96. Hard copy aerials from '37 and '76 were also used for comparison. In the southeastern US mixed hardwood/beech-magnolia forests have a fairly distinct spectral signature on the false color infrared imagery which staff learned and were trained to recognize, with ground truthing where possible (property owners were called for access). The upland pine/longleaf and pine oak hickory signatures were not as easy to identify. The goal of the ESA Remap was to identify forests that had been continually forested since at least '37 (less so for longleaf forests where bulk of the diversity is in the groundcover). The soil and contour layers, with the aerials were used to find additional areas that hadn't been previously mapped. So, essentially it was a process of identifying a specific signature and also the environmental conditions (soils, slope, aspect, topography) that would have supported or allowed a forest type to have been protected throughout history. For example, beech-magnolia forests are often found on steep slopes that were historically difficult to access for logging or around wetland/floodplain areas that would have potentially limited logging due to saturated soils. Florida Natural Areas Inventory Element Occurrence data and Florida Fish and Wildlife Conservation Commission Closing the Gaps data were also used.

Forest Ecosystem Dynamics (FED) Project Spatial Data Archive: Howland Township Forest Map

The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.

The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.

This data layer contains forest polygons with information on cover type, volume, and crown closure for both the forest overstory and understory for the Township of Howland located in Penobscot County, Maine. The map was digitized, projected and differentially corrected using Global Positioning System points. Forest types were determined by delineation from color infrared photographs. Note that the USGS records show that the orthophotoquads from which the data were digitized are in the Transverse Mercator projection. The printed map grid on both Howland and Edinburg maps is in the Universal Transverse Mercator projection. So, although the Edinburg map states that base map and control are from a Polyconic projection, (the Howland does not mention projection) the original base maps were assumed to be in the Transverse Mercator.

The Cooperative Land Cover Map is a project to develop an improved statewide land cover map from existing sources and expert review of aerial photography. The project is directly tied to a goal of Florida's State Wildlife Action Plan (SWAP) to represent Florida's diverse habitats in a spatially-explicit manner. The Cooperative Land Cover Map integrates 3 primary data types: 1) 6 million acres are derived from local or site-specific data sources, primarily on existing conservation lands. Most of these sources have a ground-truth or local knowledge component. We collected land cover and vegetation data from 37 existing sources. Each dataset was evaluated for consistency and quality and assigned a confidence category that determined how it was integrated into the final land cover map. 2) 1.4 million acres are derived from areas that FNAI ecologists reviewed with high resolution aerial photography. These areas were reviewed because other data indicated some potential for the presence of a focal community: scrub, scrubby flatwoods, sandhill, dry prairie, pine rockland, rockland hammock, upland pine or mesic flatwoods. 3) 3.2 million acres are represented by Florida Land Use Land Cover data from the FL Department of Environmental Protection and Water Management Districts (FLUCCS). The Cooperative Land Cover Map integrates data from the following years: NWFWMD: 2006 - 07 SRWMD: 2005 - 08 SJRWMD: 2004 SFWMD: 2004 SWFWMD: 2008 All data were crosswalked into the Florida Land Cover Classification System. This project was funded by a grant from FWC/Florida's Wildlife Legacy Initiative (Project 08009) to Florida Natural Areas Inventory. The current dataset is provided in 10m raster grid format.Changes from Version 1.1 to Version 2.3:CLC v2.3 includes updated Florida Land Use Land Cover for four water management districts as described above: NWFWMD, SJRWMD, SFWMD, SWFWMDCLC v2.3 incorporates major revisions to natural coastal land cover and natural communities potentially affected by sea level rise. These revisions were undertaken by FNAI as part of two projects: Re-evaluating Florida's Ecological Conservation Priorities in the Face of Sea Level Rise (funded by the Yale Mapping Framework for Biodiversity Conservation and Climate Adaptation) and Predicting and Mitigating the Effects of Sea-Level Rise and Land Use Changes on Imperiled Species and Natural communities in Florida (funded by an FWC State Wildlife Grant and The Kresge Foundation). FNAI also opportunistically revised natural communities as needed in the course of species habitat mapping work funded by the Florida Department of Environmental Protection. CLC v2.3 also includes several new site specific data sources: New or revised FNAI natural community maps for 13 conservation lands and 9 Florida Forever proposals; new Florida Park Service maps for 10 parks; Sarasota County Preserves Habitat Maps (with FNAI review); Sarasota County HCP Florida Scrub-Jay Habitat (with FNAI Review); Southwest Florida Scrub Working Group scrub polygons. Several corrections to the crosswalk of FLUCCS to FLCS were made, including review and reclassification of interior sand beaches that were originally crosswalked to beach dune, and reclassification of upland hardwood forest south of Lake Okeechobee to mesic hammock. Representation of state waters was expanded to include the NOAA Submerged Lands Act data for Florida.Changes from Version 2.3 to 3.0: All land classes underwent revisions to correct boundaries, mislabeled classes, and hard edges between classes. Vector data was compared against high resolution Digital Ortho Quarter Quads (DOQQ) and Google Earth imagery. Individual land cover classes were converted to .KML format for use in Google Earth. Errors identified through visual review were manually corrected. Statewide medium resolution (spatial resolution of 10 m) SPOT 5 images were available for remote sensing classification with the following spectral bands: near infrared, red, green and short wave infrared. The acquisition dates of SPOT images ranged between October, 2005 and October, 2010. Remote sensing classification was performed in Idrisi Taiga and ERDAS Imagine. Supervised and unsupervised classifications of each SPOT image were performed with the corrected polygon data as a guide. Further visual inspections of classified areas were conducted for consistency, errors, and edge matching between image footprints. CLC v3.0 now includes state wide Florida NAVTEQ transportation data. CLC v3.0 incorporates extensive revisions to scrub, scrubby flatwoods, mesic flatwoods, and upland pine classes. An additional class, scrub mangrove – 5252, was added to the crosswalk. Mangrove swamp was reviewed and reclassified to include areas of scrub mangrove. CLC v3.0 also includes additional revisions to sand beach, riverine sand bar, and beach dune previously misclassified as high intensity urban or extractive. CLC v3.0 excludes the Dry Tortugas and does not include some of the small keys between Key West and Marquesas.Changes from Version 3.0 to Version 3.1: CLC v3.1 includes several new site specific data sources: Revised FNAI natural community maps for 31 WMAs, and 6 Florida Forever areas or proposals. This data was either extracted from v2.3, or from more recent mapping efforts. Domains have been removed from the attribute table, and a class name field has been added for SITE and STATE level classes. The Dry Tortugas have been reincorporated. The geographic extent has been revised for the Coastal Upland and Dry Prairie classes. Rural Open and the Extractive classes underwent a more thorough reviewChanges from Version 3.1 to Version 3.2:CLC v3.2 includes several new site specific data sources: Revised FNAI natural community maps for 43 Florida Park Service lands, and 9 Florida Forever areas or proposals. This data is from 2014 - 2016 mapping efforts. SITE level class review: Wet Coniferous plantation (2450) from v2.3 has been included in v3.2. Non-Vegetated Wetland (2300), Urban Open Land (18211), Cropland/Pasture (18331), and High Pine and Scrub (1200) have undergone thorough review and reclassification where appropriate. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com.Changes from Version 3.2.5 to Version 3.3: The CLC v3.3 includes several new site specific data sources: Revised FNAI natural community maps for 14 FWC managed or co-managed lands, including 7 WMA and 7 WEA, 1 State Forest, 3 Hillsboro County managed areas, and 1 Florida Forever proposal. This data is from the 2017 – 2018 mapping efforts. Select sites and classes were included from the 2016 – 2017 NWFWMD (FLUCCS) dataset. M.C. Davis Conservation areas, 18331x agricultural classes underwent a thorough review and reclassification where appropriate. Prairie Mesic Hammock (1122) was reclassified to Prairie Hydric Hammock (22322) in the Everglades. All SITE level Tree Plantations (18333) were reclassified to Coniferous Plantations (183332). The addition of FWC Oyster Bar (5230) features. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com, including classification corrections to sites in T.M. Goodwin and Ocala National Forest. CLC v3.3 utilizes the updated The Florida Land Cover Classification System (2018), altering the following class names and numbers: Irrigated Row Crops (1833111), Wet Coniferous Plantations (1833321) (formerly 2450), Major Springs (4131) (formerly 3118). Mixed Hardwood-Coniferous Swamps (2240) (formerly Other Wetland Forested Mixed).Changes from Version 3.4 to Version 3.5: The CLC v3.5 includes several new site specific data sources: Revised FNAI natural community maps for 16 managed areas, and 10 Florida Forever Board of Trustees Projects (FFBOT) sites. This data is from the 2019 – 2020 mapping efforts. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. This version of the CLC is also the first to include land identified as Salt Flats (5241).Changes from Version 3.5 to 3.6: The CLC v3.6 includes several new site specific data sources: Revised FNAI natural community maps for 11 managed areas, and 24 Florida Forever Board of Trustees Projects (FFBOT) sites. This data is from the 2018 – 2022 mapping efforts. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com.Changes from Version 3.6 to 3.7: The CLC 3.7 includes several new site specific data sources: Revised FNAI natural community maps for 5 managed areas (2022-2023). Revised Palm Beach County Natural Areas data for Pine Glades Natural Area (2023). Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. In this version a few SITE level classifications are reclassified for the STATE level classification system. Mesic Flatwoods and Scrubby Flatwoods are classified as Dry Flatwoods at the STATE level. Upland Glade is classified as Barren, Sinkhole, and Outcrop Communities at the STATE level. Lastly Upland Pine is classified as High Pine and Scrub at the STATE level.

1:24,000 scale Geologic Map of the Rose Valley Quadrangle, Lincoln County, Nevada, USGS GQ1765. Detailed geologic mapping by Myron G. Best and Van S. Williams in 1997. Geologic Map includes 1 cross section and description of 31 units. The GIS work was in support of the U.S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for the printed geologic map. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross-sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. Previous work includes the Geologic map of the Pine Grove-Blawn Mountain area (Abbott, Best, and Morris, 1983); Geologic map Hamlin Valley and Escalante Desert (Best, 1987); Geologic map of the southern Home Range and northern Indian Peak Range (Best, Hintze, and Holmes, 1987); Preliminary geologic map of the Ursine and Deer Lodge Canyon quadrangles (Best, Keith, and Williams, 1992); Geologic map of the southern Pine Valley area (Best, Morris, Kopf, and Keith, 1987); Geologic map of northern White Rock Mountains-Hamlin Valley area (Best, Toth, Kowallis, Willis, and Best, 1989); Preliminary geologic map of the Enterprise quadrangle (Blank, 1993); and Preliminary geologic map of the northern Wilson Creek Range (Willis, Best, Kowallis, and Best, 1987). For more info about this map resource or to download and view this map and associated GIS zipped data-set, please see links provided.

Forest Ecosystem Dynamics (FED) Project Spatial Data Archive: Edinburg Township Area Cuts Map

The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.

The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.

This data layer contains harvested forest polygons with information on cover type, volume, cut date, cut type, and crown closure for the Township of Edinburg located in Penobscot County, Maine. The map was digitized, projected and differentially corrected using Global Positioning System points. Forest types were determined by delineation from color infrared photographs.

Note that the USGS records show that the orthophotoquads from which the data were digitized are in the Transverse Mercator projection. The printed map grid on both Howland and Edinburg maps is in the Universal Transverse Mercator projection. So, although the Edinburg map states that base map and control are from a Polyconic projection, (the Howland does not mention projection) the original base maps were assumed to be in the Transverse Mercator.