Geographic Resource Solutions

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Geographic Resource Solutions

Welcome to GRS

    • viewto80822bGRS, located in Arcata CA, was founded in 1989 to provide superior-quality resource information development, technical, and consulting services.
    • GRS is a leader in the design and implementation of ecologically-based integrated field data collection methodologies designed to provide comprehensive, quantitative, and detailed species-specific cover estimates of the botanical and abiotic features that comprise the ecosystems we must accurately describe.

    • GRS offers "state-of-the-art" natural resource inventory and land cover mapping services based on the application of our unique Discrete Classification Mapping Methodology in combination with traditional vendor provided applications; GRS maps (not models) species-specific cover as a continuous variable, along with other landscape and abiotic characteristics to develop comprehensive resource inventory information. Since 1996, GRS natural resource inventory data sets have contained species-specific stand list/table data representing stocking(trees/acre) by dbh, height, canopy level, height, crown diameter, and cover for every individually mapped stand polygon, thereby enabling growth projection, as well as the estimation of species-specific inventory volume(s) and biomass.

    • GRS offers raster/polygon aggregation services that can be used to assemble/aggregate diverse and complex map data too small to keep as individual features into areas/stands that all meet Minimum Mapping Unit (MMU) size limits.
  • GRS offers complex resource analyses that include natural resource inventory, growth projection, long-term sustained yield projection, long-term harvest scheduling, and change detection.
  • GRS offers total GIS solutions including GIS consulting; data set development, analysis, quality control, and processing; application development; and software sales.

  • GRS has extensive experience designing and developing superior solutions for a wide range of applications, users, and organizations.

 

GRS Successfully Completes 2021 BLM Central Yukon Project Field Sampling Efforts !


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Geographic Resource Solutions completed our 2021 field season in Alaska as planned.  Staff were in the field from June 14th - July 10, 2021 and sampled portions of BLM's Central Yukon District's lands in an effort to develop the field data descriptions necessary for GRS to classify and map nearly 5-million acres of BLM lands. 

Field crew members convened in Fairbanks, AK on June 13th and departed for Tanana on Monday morning June 14th.  Field staff then worked out of Tanana through June 26th before departing for Hughes, sampling vegetation along the way!  Field sampling efforts then continued from Hughes through July 10th, when the field crew returned to Fairbanks, again via Wright Air Services.  In all, 145 field sites were visited and sampled by field staff resulting in site-specific ecosystems desciptions of both vegetation and abiotic features present at each field site.

Most field sample sites were accessed by boat travel along the Yukon, Tanana, and Koyukuk Rivers and cross-country hiking to the planned site locations.  Overnight camping trips were also planned to decrease travel time and expense and increase the number of field sites that were visited.  Other sites were accessed by air during 8 days of helicopter travel when field crews are flown from Tanana/Hughes as much as 50 miles out to the field, where they then undertook their field sampling efforts before returning from the field at the end of the day. 

GRS staff implemented the line-point transect sampling methodology to develop the species/landscape feature-specific canopy cover estimates; in recent projects GRS has successfully adapted this methodology to also develop forest inventory estimates that include species-specific estimates of trees/acres, height, cubic volume, and biomass (dry tons/acre). All trees, shrubs, herbaceous and non-vascular plants were observed and recorded, as well as landscape features that represented abiotic site features related to the sampled plant communities. Brown's transects were integrated in this sampling approach to estimate counts of both coarse woody debris by decay class and fine woody debris by fuel class. Soil pits were dug and soil survey description data were observed and collected at each field site. GRS has processed the resulting sample area field summary data to develop species-specific estimates of canopy cover, quadratic mean diameter, trees/acre, average height, cubic volume/acre, and biomass (dry tons)/acre representative of each individual field site that was sampled.

These field data presently form a foundation of ground-truth GRS is currently using to develop detailed quantitative natural resource inventory map data sets using GRS's Discrete Classification image processing methodology. These data will eventually be exported to EcoSurvey formats and delivered to BLM Alaska as both EcoSurvey database tables and ArcGIS coverages.

 

GRS 2018 Field Season Completed Along the Dalton Highway in Alaska

GRS Completes 2018 BLM Forest Inventory Field Season in BLM Dalton Highway Management Corridor

DSCN3328croppedGeographic Resource Solutions completed their third BLM Alaska Forest Inventory field season this past summer in the southern portion of the BLM Dalton Highway Management Corridor.  Field sampling  occurred during a three-week period, beginning from Fairbanks on July 30th and ending back in Fairbanks late Saturday, August 18th;  during this time the field staff worked in very difficult and primitive conditions to sample 74 field sites while traveling approximately 140 miles along the Dalton Highway ("Ice Road") starting approximately 20 miles south of the Yukon River Crossing and then continuing north along the Dalton Highway to the vicinity of Marion Creek (MP 180); some field sampling efforts took place north of the Arctic Circle from Arctic Circle Campground (MP115) north to the vicinity of Marion Creek.  Sample sites were planned in stands selected based on the stratification of two scenes of Landsat 8 imagery from 2016.  The sample stands were selected on the basis of image stratification results that identified the largest homogeneous areas of the different spectrally determined strata that were believed to represent the different forestland stands in BLM's Dalton Highway corridor properties.  An opportunistic sampling approach was also be used to sample 2 additional sites when field crews observed unique vegetation types in the field that were large enough to sample but which did not occur as sample stands in the stratification data set.  All sample sites were accessed from points traveled to by truck along the Dalton Highway or The Alyeska Pipeline Access Road and its main spur roads and then by cross-country hiking to each targeted sample area.

GRS staff implemented the line-point transect sampling methodology to develop the species/landscape feature-specific canopy cover estimates; in recent projects GRS has adapted this methodology to also develop forest inventory estimates that include species-specific estimates of trees/acres, height, cubic volume, and biomass (dry tons/acre).  All trees, shrubs, herbaceous and non-vascular plants were observed and recorded, as well as landscape features that represent abiotic site features related to the sampled plant communities.  Brown's transects were also integrated in this sampling approach to estimate counts of both coarse woody debris by decay class and fine woody debris by fuel class.  Soil pits were dug and soil survey information and data was collected at each field site.  The resulting sample area summary data yield species-specific estimates of canopy cover, quadratic mean diameter, trees/acre, average heighth, cubic volume/acre, and biomass (dry tons)/acre.

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GRS Completes ("Survives") 2019 BLM Forest Inventory Field Season in BLM Dalton Highway Management Corridor


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Geographic Resource Solutions completed their fourth BLM Alaska Forest Inventory field season on July 13th in the northern portion of the BLM Dalton Highway Management Corridor.  Field sampling occurred during a four-week period, beginning from Fairbanks on June 17th and ending back in Fairbanks late Saturday, July 13th;  during this time the field staff endured not only the very difficult and primitive conditions of the vegetation (2 and 1/2 foot high tussocks) and terrain (over 70 percent slopes) , but also the abnormally high summer temperatures that reached into the mid-80's and smoke carried north from the Hess Creek Fire near Livengood.   GRS staff sampled 86 field sites while traveling approximately 200 miles along the Dalton Highway ("Ice Road") starting approximately 20 miles south of the Yukon River Crossing and then continuing north along the Dalton Highway to the vicinity of Atigun Pass (MP 244); most field sampling efforts took place north of the Arctic Circle from the Arctic Circle Campground (MP 115) north to the vicinity of the "Last Tree" near MP 235.  Sample sites were planned in plant communities selected based on the stratification of two scenes of Landsat 8 imagery from 2016.  The sample stands were selected on the basis of image stratification results that identified the largest homogeneous areas of the different spectrally determined strata that are believed to represent the different forestland stands in BLM's Dalton Highway corridor properties.  An opportunistic sampling approach was also be used when field crews observed unique vegetation types in the field that are large enough to sample but which did not occur as sample stands identified in the stratification data set.  All sample sites were accessed from points traveled to by truck along the Dalton Highway or The Alyeska Pipeline Access Road and its main spur roads and then by cross-country hiking to each targeted sample area.

GRS staff implemented the line-point transect sampling methodology to develop the species/landscape feature-specific canopy cover estimates; in recent projects GRS has adapted this methodology to also develop forest inventory estimates that include species-specific estimates of trees/acres, height, cubic volume, and biomass (dry tons/acre).  All trees, shrubs, herbaceous and non-vascular plants were observed and recorded, as well as landscape features that represented abiotic site features related to the sampled plant communities.  Brown's transects were also integrated in this sampling approach to estimate counts of both coarse woody debris by decay class and fine woody debris by fuel class.  Soil pits were dug and soil survey description data were collected at each field site.  The resulting sample area field summary data will yield species-specific estimates of canopy cover, quadratic mean diameter, trees/acre, average height, cubic volume/acre, and biomass (dry tons)/acre.

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GRS Completes Second (2017) Kuskokwim River Forest Inventory Field Season

July 31, 2017 - For Immediate Release

Geographic Resource Solutions completed its second BLM Alaska Forest Inventory field season in the eastern portion of the middle Kuskokwim River drainage.  Field sampling took place over a three-week period, beginning on July 10th and ending on July 29th,  during which field staff sampled 66 field sites and visited an additional 14 field sample areas while traveling approximately 270 miles starting in Lime Village along the Stony River and then continuing along the Kuskokwim River and portions of the Swift, Cheeneetnuk, and Selatna rivers, sampling as far east on the Kuskokwim River as 10 miles north of the mouth of the Selatna River.  Sample stands were selected for use in GRS's subsequent application of their Discrete Classification Mapping Methodology (DCMM) based on the processing of Landsat 8 imagery from 2015 and 2016.  Sample stands were selected on the basis of image stratification results that identified the largest homogeneous areas of the different spectrally determined strata that represented the different forestlands in the middle Kuskokwim River drainage.  Sample sites were accessed from points traveled to by boat along the river(s) and then cross-country hiking.

GRS staff implemented the line-point transect sampling methodology to develop the usual species/landscape feature-specific canopy cover estimates, but which GRS has adapted to also develop forest inventory estimates that include species-specific estimates of trees/acres, height, cubic volume, and biomass (dry tons/acre).  All trees, shrubs, herbaceous and non-vascular plants were recorded, as well as landscape features that represented abiotic site features related to the sampled plant communities.  Integrated in this sampling approach were Brown's transects to estimate both counts of both coarse by decay class and fine woody debris by fuel class.  The resulting sample area summary data produced species-specific estimates of canopy cover, quadratic mean diameter, trees/acre, average heighth, cubic volume/acre, and biomass (dry tons)/acre.

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All travel to field sites was accomplished by boat and cross-country hiking.  Kudos to the GRS field crew for enduring some of the rough and primitive conditions they experienced during this trip.

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GSA# GS-10F-0451NESRI Consultant