This map feeds into a web app that allows a user to examine the known status of structures damaged by the wildfire. If a structure point does not appear on the map it may still have been impacted by the fire. Specific addresses can be searched for in the search bar. Use the imagery and topographic basemaps and photos to positively identify a structure. Photos may only be available for damaged and destroyed structures.For more information about the wildfire response efforts, visit the CAL FIRE incident page.

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During November 2018, the Camp Fire burned more than 150,000 acres in Butte County, California. The fire was the deadliest and most destructive in California history, destroying more than 18,000 structures and causing at least 85 fatalities. The U.S. Geological Survey sampled surface water in areas affected by the Camp Fire, plus an unburned control site, during two post-fire sampling events, January 21-23, 2019 and February 28 - March 1, 2019. During each of those two sampling events, surface-water samples were collected at 8 stream locations. These 16 water samples were filtered using filters with multiple pore sizes (1.2 µm, 0.8 µm, 0.45 µm, and 0.22 µm) to evaluate colloid transport of trace elements. The filtrates were analyzed for 50 major and trace elements by Inductively Coupled Plasma methods. The 0.45 µm filtrates from the January 2019 sampling event were analyzed for 87Sr/86Sr. Field measurements are reported of water temperature, pH, dissolved oxygen, and turbidity. Data are also reported for the concentration of suspended sediment and the percent of suspended sediment less than 0.0625 mm in diameter in each water sample. During January 21-23, 2019 the USGS team collected streambed sediment at the same 8 locations where water samples were collected. Eleven other samples of fire-affected soils or streambed sediments were collected by USGS during December 2018, January 2019, and March 2019; these sites included soils in close proximity to burned vehicles and structures. Collaborators at California State University, Chico collected water samples at selected stream sites between November 30, 2018 and January 17, 2019 and provided unfiltered split samples to USGS. The USGS recovered suspended particulate solids from these water samples; sufficient particulate material for chemical analysis was recovered from eight of these water samples. The streambed sediments, suspended sediments, and soils were analyzed for 51 major and trace elements by Inductively Coupled Plasma methods and for 87Sr/86Sr.

As campfire and other fire restrictions are issued, the areas affected by each order will appear in red. The popup information will contain much of the official wording of the declaration. Users may click the link within the popup to view a PDF of the official order. New restrictions will be added to the map as they are issued. Existing restrictions will be removed as they are rescinded or expire.

The Camp Fire rapidly spread across a landscape in Butte County, California, toward the city of Paradise in the early morning hours of 8 November 2018. GEE acquires L8 data products from USGS that include Real-Time Tier 1 DN values, representing scaled, calibrated at-sensor radiance, and Level-1 Precision Terrain (L1TP) processing. We carried out additional processing on the pre- and post-fire images, including an illumination correction to account for effects of steep topography, and radiometric normalization to ensure homogeneity between images. We also identified and processed high-quality images for both the pre-fire condition(25 Oct 2013), and the post-fire burn scar (26 Dec 2018). Using the tools we provided in the paper, we estimate that, over the first hour, the Camp Fire was consuming ~200 ha/minute of vegetation with a linear spread rate of 14 km over the fire’s first 25 minutes, or ~33km/hr. We briefly discuss broader use of remote sensing and geospatial analysis for fire research and risk management. A visualization app (sliderApp) that includes pre-fire, active fire, and post-fire images: https://caralyngorman.users.earthengine.app/view/camp-fire-sliding-map-3-9-19

Version InformationThe data is updated annually with fire perimeters from the previous calendar year.Firep23_1 was released in May 2024. Two hundred eighty four fires from the 2023 fire season were added to the database (21 from BLM, 102 from CAL FIRE, 72 from Contract Counties, 19 from LRA, 9 from NPS, 57 from USFS and 4 from USFW). The 2020 Cottonwood fire, 2021 Lone Rock and Union fires, as well as the 2022 Lost Lake fire were added. USFW submitted a higher accuracy perimeter to replace the 2022 River perimeter. A duplicate 2020 Erbes fire was removed. Additionally, 48 perimeters were digitized from an historical map included in a publication from Weeks, d. et al. The Utilization of El Dorado County Land. May 1934, Bulletin 572. University of California, Berkeley. There were 2,132 perimeters that received updated attribution, the bulk of which had IRWIN IDs added. The following fires were identified as meeting our collection criteria, but are not included in this version and will hopefully be added in the next update: Big Hill #2 (2023-CAHIA-001020). YEAR_ field changed to a short integer type. San Diego CAL FIRE UNIT_ID changed to SDU (the former code MVU is maintained in the UNIT_ID domains). COMPLEX_INCNUM renamed to COMPLEX_ID and is in process of transitioning from local incident number to the complex IRWIN ID. Perimeters managed in a complex in 2023 are added with the complex IRWIN ID. Those previously added will transition to complex IRWIN IDs in a future update.If you would like a full briefing on these adjustments, please contact the data steward, Kim Wallin (kimberly.wallin@fire.ca.gov), CAL FIRE FRAP._CAL FIRE (including contract counties), USDA Forest Service Region 5, USDI Bureau of Land Management & National Park Service, and other agencies jointly maintain a fire perimeter GIS layer for public and private lands throughout the state. The data covers fires back to 1878. Current criteria for data collection are as follows:CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 damaged/ destroyed residential or commercial structures, and/or caused ≥1 fatality.All cooperating agencies submit perimeters ≥10 acres._Discrepancies between wildfire perimeter data and CAL FIRE Redbook Large Damaging FiresLarge Damaging fires in California were first defined by the CAL FIRE Redbook, and has changed over time, and differs from the definition initially used to define wildfires required to be submitted for the initial compilation of this digital fire perimeter data. In contrast, the definition of fires whose perimeter should be collected has changed once in the approximately 30 years the data has been in existence. Below are descriptions of changes in data collection criteria used when compiling these two datasets. To facilitate comparison, this metadata includes a summary, by year, of fires in the Redbook, that do not appear in this fire perimeter dataset. It is followed by an enumeration of each “Redbook” fire missing from the spatial data. Wildfire Perimeter criteria:~1991: 10 acres timber, 30 acres brush, 300 acres grass, damages or destroys three residence or one commercial structure or does $300,000 worth of damage 2002: 10 acres timber, 50 acres brush, 300 acres grass, damages or destroys three or more structures, or does $300,000 worth of damage~2010: 10 acres timber, 30 acres brush, 300 acres grass, damages or destroys three or more structures (doesn’t include out building, sheds, chicken coops, etc.)Large and Damaging Redbook Fire data criteria:1979: Fires of a minimum of 300 acres that burn at least: 30 acres timber or 300 acres brush, or 1500 acres woodland or grass1981: 1979 criteria plus fires that took ,3000 hours of California Department of Forestry and Fire Protection personnel time to suppress1992: 1981 criteria plus 1500 acres agricultural products, or destroys three residence or one commercial structure or does $300,000 damage1993: 1992 criteria but “three or more structures destroyed” replaces “destroys three residence or one commercial structure” and the 3,000 hours of California Department of Forestry personnel time to suppress is removed2006: 300 acres or larger and burned at least: 30 acres of timber, or 300 acres of brush, or 1,500 acres of woodland, or 1,500 acres of grass, or 1,500 acres of agricultural products, or 3 or more structures destroyed, or $300,000 or more dollar damage loss.2008: 300 acres and largerYear# of Missing Large and Damaging Redbook Fires197922198013198115198261983319842019855219861219875619882319898199091991219921619931719942219959199615199791998101999720004200152002162003520042200512006112007320084320093201022011020124201322014720151020162201711201862019220203202102022020230Total488Enumeration of fires in the Redbook that are missing from Fire Perimeter data. Three letter unit code follows fire name.1979-Sylvandale (HUU), Kiefer (AEU), Taylor(TUU), Parker#2(TCU), PGE#10, Crocker(SLU), Silver Spur (SLU), Parkhill (SLU), Tar Springs #2 (SLU), Langdon (SCU), Truelson (RRU), Bautista (RRU), Crocker (SLU), Spanish Ranch (SLU), Parkhill (SLU), Oak Springs(BDU), Ruddell (BDF), Santa Ana (BDU), Asst. #61 (MVU), Bernardo (MVU), Otay #20 1980– Lightning series (SKU), Lavida (RRU), Mission Creek (RRU), Horse (RRU), Providence (RRU), Almond (BDU), Dam (BDU), Jones (BDU), Sycamore (BDU), Lightning (MVU), Assist 73, 85, 138 (MVU)1981– Basalt (LNU), Lightning #25(LMU), Likely (MNF), USFS#5 (SNF), Round Valley (TUU), St. Elmo (KRN), Buchanan (TCU), Murietta (RRU), Goetz (RRU), Morongo #29 (RRU), Rancho (RRU), Euclid (BDU), Oat Mt. (LAC & VNC), Outside Origin #1 (MVU), Moreno (MVU)1982- Duzen (SRF), Rave (LMU), Sheep’s trail (KRN), Jury (KRN), Village (RRU), Yuma (BDF)1983- Lightning #4 (FKU), Kern Co. #13, #18 (KRN)1984-Bidwell (BTU), BLM D 284,337, PNF #115, Mill Creek (TGU), China hat (MMU), fey ranch, Kern Co #10, 25,26,27, Woodrow (KRN), Salt springs, Quartz (TCU), Bonanza (BEU), Pasquel (SBC), Orco asst. (ORC), Canel (local), Rattlesnake (BDF)1985- Hidden Valley, Magic (LNU), Bald Mt. (LNU), Iron Peak (MEU), Murrer (LMU), Rock Creek (BTU), USFS #29, 33, Bluenose, Amador, 8 mile (AEU), Backbone, Panoche, Los Gatos series, Panoche (FKU), Stan #7, Falls #2 (MMU), USFS #5 (TUU), Grizzley, Gann (TCU), Bumb, Piney Creek, HUNTER LIGGETT ASST#2, Pine, Lowes, Seco, Gorda-rat, Cherry (BEU), Las pilitas, Hwy 58 #2 (SLO), Lexington, Finley (SCU), Onions, Owens (BDU), Cabazon, Gavalin, Orco, Skinner, Shell, Pala (RRU), South Mt., Wheeler, Black Mt., Ferndale, (VNC), Archibald, Parsons, Pioneer (BDU), Decker, Gleason(LAC), Gopher, Roblar, Assist #38 (MVU)1986– Knopki (SRF), USFS #10 (NEU), Galvin (RRU), Powerline (RRU), Scout, Inscription (BDU), Intake (BDF), Assist #42 (MVU), Lightning series (FKU), Yosemite #1 (YNP), USFS Asst. (BEU), Dutch Kern #30 (KRN)1987- Peach (RRU), Ave 32 (TUU), Conover (RRU), Eagle #1 (LNU), State 767 aka Bull (RRU), Denny (TUU), Dog Bar (NEU), Crank (LMU), White Deer (FKU), Briceburg (LMU), Post (RRU), Antelope (RRU), Cougar-I (SKU), Pilitas (SLU) Freaner (SHU), Fouts Complex (LNU), Slides (TGU), French (BTU), Clark (PNF), Fay/Top (SQF), Under, Flume, Bear Wallow, Gulch, Bear-1, Trinity, Jessie, friendly, Cold, Tule, Strause, China/Chance, Bear, Backbone, Doe, (SHF) Travis Complex, Blake, Longwood (SRF), River-II, Jarrell, Stanislaus Complex 14k (STF), Big, Palmer, Indian (TNF) Branham (BLM), Paul, Snag (NPS), Sycamore, Trail, Stallion Spring, Middle (KRN), SLU-864 1988- Hwy 175 (LNU), Rumsey (LNU), Shell Creek (MEU), PG&E #19 (LNU), Fields (BTU), BLM 4516, 417 (LMU), Campbell (LNF), Burney (SHF), USFS #41 (SHF), Trinity (USFS #32), State #837 (RRU), State (RRU), State (350 acres), RRU), State #1807, Orange Co. Asst (RRU), State #1825 (RRU), State #2025, Spoor (BDU), State (MVU), Tonzi (AEU), Kern co #7,9 (KRN), Stent (TCU), 1989– Rock (Plumas), Feather (LMU), Olivas (BDU), State 1116 (RRU), Concorida (RRU), Prado (RRU), Black Mt. (MVU), Vail (CNF)1990– Shipman (HUU), Lightning 379 (LMU), Mud, Dye (TGU), State 914 (RRU), Shultz (Yorba) (BDU), Bingo Rincon #3 (MVU), Dehesa #2 (MVU), SLU 1626 (SLU)1991- Church (HUU), Kutras (SHF)1992– Lincoln, Fawn (NEU), Clover, fountain (SHU), state, state 891, state, state (RRU), Aberdeen (BDU), Wildcat, Rincon (MVU), Cleveland (AEU), Dry Creek (MMU), Arroyo Seco, Slick Rock (BEU), STF #135 (TCU)1993– Hoisington (HUU), PG&E #27 (with an undetermined cause, lol), Hall (TGU), state, assist, local (RRU), Stoddard, Opal Mt., Mill Creek (BDU), Otay #18, Assist/ Old coach (MVU), Eagle (CNF), Chevron USA, Sycamore (FKU), Guerrero, Duck1994– Schindel Escape (SHU), blank (PNF), lightning #58 (LMU), Bridge (NEU), Barkley (BTU), Lightning #66 (LMU), Local (RRU), Assist #22 & #79 (SLU), Branch (SLO), Piute (BDU), Assist/ Opal#2 (BDU), Local, State, State (RRU), Gilman fire 7/24 (RRU), Highway #74 (RRU), San Felipe, Assist #42, Scissors #2 (MVU), Assist/ Opal#2 (BDU), Complex (BDF), Spanish (SBC)1995-State 1983 acres, Lost Lake, State # 1030, State (1335 acres), State (5000 acres), Jenny, City (BDU), Marron #4, Asist #51 (SLO/VNC)1996- Modoc NF 707 (Ambrose), Borrego (MVU), Assist #16 (SLU), Deep Creek (BDU), Weber (BDU), State (Wesley) 500 acres (RRU), Weaver (MMU), Wasioja (SBC/LPF), Gale (FKU), FKU 15832 (FKU), State (Wesley) 500 acres, Cabazon (RRU), State Assist (aka Bee) (RRU), Borrego, Otay #269 (MVU), Slaughter house (MVU), Oak Flat (TUU)1997- Lightning #70 (LMU), Jackrabbit (RRU), Fernandez (TUU), Assist 84 (Military AFV) (SLU), Metz #4 (BEU), Copperhead (BEU), Millstream, Correia (MMU), Fernandez (TUU)1998- Worden, Swift, PG&E 39 (MMU), Chariot, Featherstone, Wildcat, Emery, Deluz (MVU), Cajalco Santiago (RRU)1999- Musty #2,3 (BTU), Border # 95 (MVU), Andrews,

FIRE_POINT: This dataset represents points of origins of BLM fires that occur naturally (e.g., lightning) or by humans accidentally (e.g., escaped campfire) or maliciously across Oregon and Washington. The dataset includes some, but not all, historic fires (fires declared ‘out’ in calendar years prior to the current year). There is no lower size limit for fires to be included. In addition, many non-BLM Federal and State agencies fire origins are present.

This dataset shows areas where outdoor fires are restricted in accordance with the Forest Fires Prevention Act. There are two reasons why a restricted fire zone is in effect:

outdoor conditions are extremely dry the number of fires occurring has stretched firefighting resources to capacity

A restricted fire zone is a temporary measure for extreme situations and is lifted as soon as conditions permit.

The Forest Fire Info Map shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

Additional DocumentationRestricted Fire Zone - Data Description (PDF)Restricted Fire Zone - Documentation (Word)

Status

Completed: production of the data has been completed

Maintenance and Update Frequency

As needed: data is updated as deemed necessary

Contact

Aviation, Forest Fire and Emergency Services Natalie Belanger natalie.belanger@ontario.ca Darryl Pajunen darryl.pajunen@ontario.ca

This map locates each residence hall or apartments located on Northern Arizona University's campus, and gives a direct route to the closest campfire from each different location. Some campfires will have more use than others depending on the number of neighboring student residents in the vicinity of the campfire.

Web map for displaying abandoned campfire information on the Boise National Forest. Includes cumulative abandoned campfire count data starting in 2020. Data from 2020 does not include all abandoned campfires, as some reporting was done manually, not using the Survey 123 form that feeds the feature service.

As campfire and other fire restrictions are issued, the areas affected by each order will appear in red. The popup information will contain much of the official wording of the declaration. Users may click the link within the popup to view a PDF of the official order. New restrictions will be added to the map as they are issued. Existing restrictions will be removed as they are rescinded or expire.

Portable Campfire-Grill Market Outlook

According to our latest research, the global portable campfire-grill market size reached USD 1.42 billion in 2024, exhibiting robust demand across both developed and emerging regions. The market is forecasted to grow at a CAGR of 7.1% from 2025 to 2033, with the overall market size projected to reach USD 2.63 billion by 2033. This growth is primarily driven by the surging popularity of outdoor recreational activities, increasing disposable incomes, and the rising trend of experiential travel. As per our analysis, the portable campfire-grill market is set to witness significant expansion in the coming years, underpinned by product innovation and evolving consumer preferences.

One of the key growth factors propelling the portable campfire-grill market is the global rise in outdoor and adventure tourism. As more consumers seek unique travel experiences and prioritize outdoor leisure, there is a corresponding increase in demand for portable cooking solutions that are both convenient and efficient. The growing influence of social media, with users sharing camping, hiking, and outdoor cooking experiences, has further fueled the popularity of portable campfire-grills. Additionally, the proliferation of camping sites, national parks, and recreational areas has expanded the consumer base for these products. This trend is particularly prominent among millennials and Gen Z, who are more inclined towards outdoor lifestyles and sustainable travel, thereby boosting the market’s trajectory.

Another significant driver for the portable campfire-grill market is technological advancement and product innovation. Manufacturers are increasingly focusing on developing grills that are lightweight, compact, and easy to assemble, catering to the evolving needs of modern consumers. The integration of multi-fuel capabilities, enhanced safety features, and eco-friendly materials has contributed to the appeal of these products. Moreover, the adoption of stainless steel and other durable materials has improved product longevity, making them more suitable for frequent use. The availability of smart grills with temperature control and Bluetooth connectivity is also attracting tech-savvy consumers, further diversifying the market landscape.

The expansion of distribution channels has also played a pivotal role in market growth. The rise of e-commerce platforms and online retail has made portable campfire-grills more accessible to a global audience. Consumers now have the convenience to compare products, read reviews, and make informed purchase decisions from the comfort of their homes. Specialty outdoor stores and supermarkets/hypermarkets continue to be important touchpoints, offering hands-on experiences and expert guidance. The synergy between online and offline retail channels has enabled manufacturers to reach a broader demographic, facilitating market penetration in both urban and rural areas.

From a regional perspective, North America currently dominates the portable campfire-grill market, accounting for the largest revenue share in 2024. The region’s well-established camping culture, coupled with high disposable incomes and a strong affinity for outdoor activities, has created a fertile ground for market growth. Europe follows closely, driven by increasing participation in outdoor sports and government initiatives promoting recreational tourism. The Asia Pacific region is anticipated to witness the fastest growth during the forecast period, owing to rising urbanization, growing middle-class populations, and the increasing adoption of Western lifestyles. Latin America and the Middle East & Africa are also emerging as promising markets, supported by expanding tourism infrastructure and a burgeoning interest in outdoor leisure.

Product Type Analysis

The portable campfire-grill market is segmented by product type into charcoal campfire-grills, gas campfire-grills, wood-burning campfire-grills, multi-fuel campfire-grills, and others. Charcoal campfire-grills conti

Additional fields such as Category and Structure Type are based off fields needed in the Incident Status Summary (ICS 209).

Please review the DINS database dictionary for additional information.

This data publication contains a vegetation map derived as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. This dataset contains a continuous vegetation map across the three Camp Swift burn blocks and the surrounding mowed areas. The vegetation map is provided as an environmental systems research institute (ESRI) file geodatabase.The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. This dataset represents continuous maps of fuels across the three burn blocks, including the surrounding fuel breaks. This dataset is used to delineate the vegetation types found across the study area for inputs to fire behavior models. Properties of vegetation such as fuel loading, surface-to-area-volume ratio and fuel moisture contents are not explicitly associated with this dataset. These properties from the ground field samples might be allocated to the respective vegetation polygons found in this dataset for future modeling use. The dataset also provides descriptive information about burn blocks related to the extent and type of vegetation found within the three burn blocks. The purpose of this dataset was not to develop a new means to map grass, forb and herbaceous vegetation species but rather to map vegetation in the study site using all available information and established techniques.A summary of the Camp Swift project can be found in the full data download (\Supplements\ CampSwiftFireExperiment2014_Project_Overview.pdf). A United States Forest Service ArcGIS Online interactive website is also developed to describe the study and examine the integrated data quality for the Camp Swift effort (see cross reference below). Finally, a document detailing the procedures used to set up the burn blocks can be found in the full data download (\Supplements\CampSwiftFireExperiment2014_BurnBlockDesign.pdf).

These data were published on 09/26/2018. Minor metadata updates were made on 10/27/2022.

Barbecue areas and campfire areas

The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Measurements around the three burn blocks began on January 14, 2014 and continued until shortly after completion of the three burns on January 15, 2014. The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. Full details on the Camp Swift Fire Experiment 2014 can be accessed through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.

There were a total of 5,475 forest fires in Canada in 2023. As of November 2024, the total annual figure from the previous year almost gets surpassed at 5,374 fire stats in Canadian territory. Forest fires in Canada Forest fires in Canada have burned an average of 2.2 million hectares annually since 2000. Forest fires or wildfires are named so because they occur in areas such as woodlands, grasslands, and scrublands. They are not confined to remote forest areas and can cause extensive property damage and threaten the lives of people who live in transitional areas between regions of human habitation and wilderness. Since 2000, forest fires have caused an estimated 3.76 million Canadian dollars annually. A recent major forest fire which began in Fort McMurray, Alberta is likely to be the most economically damaging disaster in Canada’s history, according to insurers. The fires have also affected Alberta’s oil sands operations which have a significant impact on Canada’s GDP. What are the causes of forest fires? The Fort McMurray fire of 2016, like many forest fires, is suspected to have been caused by human activities. Fires started by humans can be intentional, as in the case of arson, or accidental, such as failing to fully extinguish a camp fire or cigarette. The most common natural cause of forest fires is human activity, which accounted for 2,719 fires in 2020.

The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Measurements around the three burn blocks began on January 14, 2014 and continued until shortly after completion of the three burns on January 15, 2014. The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. A continuous map of vegetation was created from georeferenced pre-fire aerial imagery acquired with a Canon T3i©, DSLR, crop sensor mounted on a MLB Company Super Bat III unmanned aerial vehicle (UAV) MLB Company SuperBat III operated by the National Institute of Standards and Technology (NIST). Field vegetation sampling occurred at set plot locations outside the three burn blocks. This web mapping application facilitates integrated assessment and analysis of these two datasets.Full details on the Camp Swift Fire Experiment 2014 can be accessed through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.

This dataset contains imagery for the Gila National Forest, Catron and Grant County, New Mexico. The imagery was flown to provide coverage after the 2012 Whitewater-Baldy Complex Fire.

Campsites within the central portion of the San Rafael Wilderness of California were assessed over a 9 day period in April 1999. All but one of 22 semi-developed camping areas were visited. These camping areas consist of one or several long-established campsites, with stoves, and are located on maps of the area. In addition, informal user-created campsites were located and assessed in other places that appeared amenable to camping. A total of 91 campsites were located and briefly assessed, 30 of which were within the 21 camping areas that were visited. The other 61 sites were informal campsites. This probably represents at least 75% of all campsites in the San Rafael Wilderness. This data publication contains data for the 50 campsites that showed permanent damage, such as vegetation loss. These sites underwent a rapid assessment which included the following basic campsite measurements: condition class, vegetation type, soils, dominant species, landform, distance to trail, distance to water, number of fire rings, tree damage, number of fire scars, number of nearby trails, and other standard campsite data. Within 19 of the 21 semi-developed camping areas that were visited, a single campsite was chosen for a detailed assessment which included collecting the following data: tree scars, exposed roots, vegetation and soil coverage, and soil penetration. Similar data were collected for comparable control sites.These data were collected for the purposes of assessing campsite conditions at the time and for future studies. Prior to 1999, no baseline data on campsite conditions was available for the almost 200,000 acre San Rafael Wilderness.These data were originally made available on the Aldo Leopold Wilderness Research Institute site.

Original metadata date was 03/21/2014. Minor metadata updates on 12/12/2016.