USFS TreeMap v2016 (Conterminous United States)

USFS/GTAC/TreeMap/v2016
Dataset Availability
2016-01-01T00:00:00Z–2017-01-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("USFS/GTAC/TreeMap/v2016")
Tags
biomass carbon climate-change conus forest gtac landcover landfire redcastle-resources tree-cover usfs vegetation
forest-inventory-and-analysis
forest-type
treemap

Description

This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the continental United States in 2016.

TreeMap v2016 contains one image, a 22-band 30 x 30m resolution gridded map of the forests of the continental United States circa 2016, with each band representing an attribute derived from select FIA data (and one band representing the TreeMap ID). Examples of attributes include forest type, canopy cover percent, live tree stocking, live/dead tree biomass, and carbon in live/dead trees.

TreeMap products are the output of a random forest machine learning algorithm that assigns the most similar Forest Inventory Analysis (FIA) plot to each pixel of gridded LANDFIRE input data. The objective is to combine the complimentary strengths of detailed-but-spatially-sparse FIA data with less-detailed-but-spatially-comprehensive LANDFIRE data to produce better estimations of forest characteristics at a variety of scales. TreeMap is being used in both the private and public sectors for projects including fuel treatment planning, snag hazard mapping, and estimation of terrestrial carbon resources.

TreeMap is distinct from other imputed forest vegetation products in that it provides an FIA plot identifier to each pixel whereas other datasets provide forest characteristics such as live basal area (e.g., Ohmann and Gregory 2002; Pierce Jr et al. 2009; Wilson, Lister, and Riemann 2012). The FIA plot identifier can be linked to the hundreds of variables and attributes recorded for each tree and plot in the FIA DataMart, FIA's public repository of plot information (Forest Inventory Analysis 2022a).

The 2016 methodology includes disturbance as a response variable, resulting in increased accuracy in mapping disturbed areas. Within-class accuracy was over 90% for forest cover, height, vegetation group, and disturbance code when compared to LANDFIRE maps. At least one pixel within the radius of validation plots matched the class of predicted values in 57.5% of cases for forest cover, 80.0% for height, 80.0% for tree species with highest basal area, and 87.4% for disturbance.

Additional Resources

Contact sm.fs.treemaphelp@usda.gov with any questions or specific data requests.

  • Forest Inventory Analysis. 2022a. Forest Inventory Analysis DataMart. Forest Inventory Analysis DataMart FIADB_1.9.0. 2022. https://apps.fs.usda.gov/fia/datamart/datamart.html.

  • Ohmann, Janet L and Matthew J Gregory. 2002. Predictive Mapping of Forest Composition and Structure with Direct Gradient Analysis and Nearest- Neighbor Imputation in Coastal Oregon, USA. Can. J. For. Res. 32:725-741. doi: 10.1139/X02-011.

  • Pierce, Kenneth B Jr, Janet L Ohmann, Michael C Wimberly, Matthew J Gregory, and Jeremy S Fried. 2009. Mapping Wildland Fuels and Forest Structure for Land Management: A Comparison of Nearest Neighbor Imputation and Other Methods. Can. J. For. Res. 39: 1901-1916. doi:10.1139/X09-102.

  • Wilson, B Tyler, Andrew J Lister, and Rachel I Riemann. 2012. A Nearest-Neighbor Imputation Approach to Mapping Tree Species over Large Areas Using Forest Inventory Plots and Moderate Resolution Raster Data. Forest Ecol. Manag. 271:182-198. doi: 10.1016/j. foreco.2012.02.002.

Bands

Resolution
30 meters

Bands

Name Units Description
ALSTK %

All-Live-Tree Stocking. The sum of stocking percent values of all live trees on the condition.

BALIVE ft^2/acre

Live Tree Basal Area. Basal area in square feet per acre of all live trees ≥1.0 inch d.b.h./d.r.c. sampled in the condition.

CANOPYPCT %

Live Canopy Cover. Derived from the Forest Vegetation Simulator.

CARBON_D tons/acre

Carbon, Standing Dead. Calculated via the following FIA query: Sum (DRYBIO_BOLE, DRYBIO_TOP, DRYBIO_STUMP, DRYBIO_SAPLING, DRYBIO_WDLD_SPP) / 2 /2000*TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=2) AND ((TREE.DIA)>=5) AND ((TREE.STANDING_DEAD_CD)=1))

CARBON_DWN tons/acre

Carbon, Down Dead. Carbon (tons per acre) of woody material >3 inches in diameter on the ground, and stumps and their roots >3 inches in diameter. Estimated from models based on geographic area, forest type, and live tree carbon density (Smith and Heath 2008).

CARBON_L tons/acre

Carbon, Live Above Ground. Calculated via the following FIA query: Sum (DRYBIO_BOLE, DRYBIO_TOP, DRYBIO_STUMP, DRYBIO_SAPLING, DRYBIO_WDLD_SPP) / 2 /2000*TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=1))

DRYBIO_D tons/acre

Dry Standing Dead Tree Biomass, Above Ground. Calculated via the following FIA query: Sum (DRYBIO_BOLE, DRYBIO_TOP, DRYBIO_STUMP, DRYBIO_SAPLING, DRYBIO_WDLD_SPP) /2000*TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=2) AND ((TREE.DIA)>=5) AND ((TREE.STANDING_DEAD_CD)=1))

DRYBIO_L tons/acre

Dry Live Tree Biomass, Above Ground. Calculated via the following FIA query: Sum (DRYBIO_BOLE, DRYBIO_TOP, DRYBIO_STUMP, DRYBIO_SAPLING, DRYBIO_WDLD_SPP) /2000*TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=1))

FLDSZCD

Field Stand-Size Class Code - Field-assigned classification of the predominant (based on stocking) diameter class of live trees within the condition.

FLDTYPCD

Field Forest Type Code - A code indicating the forest type, assigned by the field crew, based on the tree species or species groups forming a plurality of all live stocking. The field crew assesses the forest type based on the acre of forest land around the plot, in addition to the species sampled on the condition.

FORTYPCD

Algorithm Forest Type Code - This is the forest type used for reporting purposes. It is primarily derived using a computer algorithm, except when less than 25 percent of the plot samples a particular forest condition or in a few other cases.

GSSTK %

Growing-Stock Stocking. The sum of stocking percent values of all growing-stock trees on the condition.

QMD_RMRS in

Stand Quadratic Mean Diameter. Rocky Mountain Research Station. The quadratic mean diameter, or the diameter of the tree of average basal area, on the condition. Based on live trees ≥1.0 inch d.b.h./d.r.c. Only collected by certain FIA work units.

SDIPCT_RMRS %

Stand Density Index. Rocky Mountain Research Station. A relative measure of stand density for live trees (≥1.0 inch d.b.h./d.r.c.) on the condition, expressed as a percentage of the maximum stand density index (SDI). Only collected by certain FIA work units.

STANDHT ft

Height of dominant trees. Derived from the Forest Vegetation Simulator.

STDSZCD

Algorithm Stand-Size Class Code - A classification of the predominant (based on stocking) diameter class of live trees within the condition assigned using an algorithm.

TPA_DEAD count/acre

Dead Trees Per Acre. Number of dead standing trees per acre (DIA >= 5”). Calculated via the following FIA query: Sum TREE.TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=2) AND ((TREE.DIA)>=5) AND ((TREE.STANDING_DEAD_CD)=1))

TPA_LIVE count/acre

Live Trees Per Acre. Number of live trees per acre (DIA > 1"). Calculated via the following FIA query: Sum TREE.TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=1) AND ((TREE.DIA)>=1))

Value

Raw TreeMap identifier dataset values. This dataset is useful to see spatial groupings of individual modeled plot values.

VOLBFNET_L sawlog-board-ft/acre

Volume, Live (log rule: Int’l ¼ inch). Calculated via the following FIA query: Sum VOLBFNET * TPA_UNADJ WHERE (((TREE.TREECLCD)=2) AND ((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=1))

VOLCFNET_D ft^3/acre

Volume, Standing Dead. Calculated via the following FIA query: Sum VOLCFNET*TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=2) AND ((TREE.DIA)>=5) AND ((TREE.STANDING_DEAD_CD)=1))

VOLCFNET_L ft^3/acre

Volume, Live. Calculated via the following FIA query: Sum VOLCFNET*TPA_UNADJ WHERE (((COND.COND_STATUS_CD)=1) AND ((TREE.STATUSCD)=1))

FLDSZCD Class Table

Value Color Description
0 #c62363 Nonstocked - Meeting the definition of accessible land and one of the following applies (1) less than 10 percent stocked by trees, seedlings, and saplings and not classified as cover trees, or (2) for several woodland species where stocking standards are not available, less than 10 percent canopy cover of trees, seedlings, and saplings.
1 #feba12 ≤4.9 inches (seedlings/saplings). At least 10 percent stocking (or 10 percent canopy cover if stocking standards are not available) in trees, seedlings, and saplings, and at least 2/3 of the canopy cover is in trees less than 5.0 inches d.b.h./d.r.c.
2 #ffff00 5.0-8.9 inches (softwoods)/ 5.0-10.9 inches (hardwoods). At least 10 percent stocking (or 10 percent canopy cover if stocking standards are not available) in trees, seedlings, and saplings; and at least one-third of the canopy cover is in trees greater than 5.0 inches d.b.h./d.r.c. and the plurality of the canopy cover is in softwoods 5.0-8.9 inches diameter and/or hardwoods 5.0-10.9 inches d.b.h., and/or woodland trees 5.0-8.9 inches d.r.c.
3 #38a800 9.0-19.9 inches (softwoods)/ 11.0-19.9 inches (hardwoods). At least 10 percent stocking (or 10 percent canopy cover if stocking standards are not available) in trees, seedlings, and sapling; and at least one-third of the canopy cover is in trees greater than 5.0 inches d.b.h./d.r.c. and the plurality of the canopy cover is in softwoods 9.0-19.9 inches diameter and/or hardwoods between 11.0-19.9 inches d.b.h., and/or woodland trees 9.0-19.9 inches d.r.c.
4 #73dfff 20.0-39.9 inches. At least 10 percent stocking (or 10 percent canopy cover if stocking standards are not available) in trees, seedlings, and saplings; and at least one-third of the canopy cover is in trees greater than 5.0 inches d.b.h./d.r.c. and the plurality of the canopy cover is in trees 20.0-39.9 inches d.b.h.
5 #5c09fc 40.0+ inches. At least 10 percent stocking (or 10 percent canopy cover if stocking standards are not available) in trees, seedlings, and saplings; and at least one-third of the canopy cover is in trees greater than 5.0 inches d.b.h./d.r.c. and the plurality of the canopy cover is in trees greater than or equal to 40.0 inches d.b.h.

FLDTYPCD Class Table

Value Color Description
101 #6e26ec Jack pine
102 #c765ec Red pine
103 #efdbcc Eastern white pine
104 #a8a9f2 Eastern white pine / eastern hemlock
105 #d0ce83 Eastern hemlock
121 #47d0b6 Balsam fir
122 #9d86a6 White spruce
123 #a5f77a Red spruce
124 #dcf4d9 Red spruce / balsam fir
125 #64e1f7 Black spruce
126 #afa9b0 Tamarack
127 #f2c531 Northern white-cedar
128 #87cc75 Fraser fir
141 #84d7eb Longleaf pine
142 #ef4677 Slash pine
161 #97f2ad Loblolly pine
162 #d45549 Shortleaf pine
163 #63f3ac Virginia pine
164 #f58de4 Sand pine
165 #e9c991 Table Mountain pine
166 #ddbef2 Pond pine
167 #bba847 Pitch pine
171 #95eacd Eastern redcedar
182 #a6827b Rocky Mountain juniper
184 #bca28a Juniper woodland
185 #cff3f4 Pinyon / juniper woodland
201 #c1ded5 Douglas-fir
202 #948ee9 Port-Orford-cedar
221 #d0ef5b Ponderosa pine
222 #e29af0 Incense-cedar
224 #c34bc3 Sugar pine
225 #e6acb8 Jeffrey pine
226 #ea3b34 Coulter pine
241 #724353 Western white pine
261 #f2c7a0 White fir
262 #6ab27f Red fir
263 #f1f3d3 Noble fir
264 #ea5aba Pacific silver fir
265 #edc7e1 Engelmann spruce
266 #4965e2 Engelmann spruce / subalpine fir
267 #a0f4c4 Grand fir
268 #5697de Subalpine fir
269 #5defc4 Blue spruce
270 #e8f384 Mountain hemlock
271 #cc63bd Alaska-yellow-cedar
281 #e16f3d Lodgepole pine
301 #f5da68 Western hemlock
304 #a63bcf Western redcedar
305 #51d0dd Sitka spruce
321 #6bc5b6 Western larch
341 #f2f4a5 Redwood
361 #576abe Knobcone pine
362 #b56f7c Southwestern white pine
365 #dca5ca Foxtail pine / bristlecone pine
366 #67eff4 Limber pine
367 #ca5483 Whitebark pine
368 #a8bf86 Miscellaneous western softwoods
369 #aff6e9 Western juniper
371 #a53394 California mixed conifer
381 #e9e2eb Scotch pine
383 #d0cfad Other exotic softwoods
384 #eee1b3 Norway spruce
385 #e4db79 Introduced larch
401 #ec42f6 Eastern white pine / northern red oak / white ash
402 #7e9f81 Eastern redcedar / hardwood
403 #4a7196 Longleaf pine / oak
404 #5cd76e Shortleaf pine / oak
405 #37999a Virginia pine / southern red oak
406 #ed54dd Loblolly pine / hardwood
407 #6792f0 Slash pine / hardwood
409 #82eb3e Other pine / hardwood
501 #b8db98 Post oak / blackjack oak
502 #bccc4b Chestnut oak
503 #f22ab1 White oak / red oak / hickory
504 #f6e095 White oak
505 #77989d Northern red oak
506 #718640 Yellow-poplar / white oak / northern red oak
507 #9d4f8d Sassafras / persimmon
508 #c376e4 Sweetgum / yellow-poplar
509 #7cb133 Bur oak
510 #5fa7cc Scarlet oak
511 #9ae6e8 Yellow-poplar
512 #def3b1 Black walnut
513 #b88bf2 Black locust
514 #a5f031 Southern scrub oak
515 #eeafa3 Chestnut oak / black oak / scarlet oak
516 #9bd763 Cherry / white ash / yellow-poplar
517 #b838ee Elm / ash / black locust
519 #e88fbb Red maple / oak
520 #cce5b9 Mixed upland hardwoods
601 #ed8a9c Swamp chestnut oak / cherrybark oak
602 #c8ed2d Sweetgum / Nuttall oak / willow oak
605 #f0bd53 Overcup oak / water hickory
606 #60dad1 Atlantic white-cedar
607 #c790c1 Baldcypress / water tupelo
608 #54c7ef Sweetbay / swamp tupelo / red maple
609 #8e6a31 Baldcypress / pondcypress
701 #cecceb Black ash / American elm / red maple
702 #b1bef2 River birch / sycamore
703 #f077ef Cottonwood
704 #969aca Willow
705 #c4ec84 Sycamore / pecan / American elm
706 #efadec Sugarberry / hackberry / elm / green ash
707 #da23cf Silver maple / American elm
708 #e4c3c0 Red maple / lowland
709 #bf90e1 Cottonwood / willow
722 #52f3eb Oregon ash
801 #a2c9eb Sugar maple / beech / yellow birch
802 #3ff451 Black cherry
805 #6ab7f2 Hard maple / basswood
809 #b3714c Red maple / upland
901 #d28f25 Aspen
902 #f59550 Paper birch
903 #dd82c7 Gray birch
904 #c5f2a0 Balsam poplar
905 #e3f2e7 Pin cherry
911 #b2c2b1 Red alder
912 #4ff389 Bigleaf maple
921 #8772e8 Gray pine
922 #bb24a1 California black oak
923 #c7f7cd Oregon white oak
924 #8fc3c6 Blue oak
931 #f13896 Coast live oak
933 #efe92f Canyon live oak
934 #6c48ae Interior live oak
935 #b3e8cd California white oak (valley oak)
941 #e8a882 Tanoak
942 #b3e0f0 California laurel
943 #6a48de Giant chinkapin
961 #c3ab6e Pacific madrone
962 #f5f169 Other hardwoods
971 #f3c66f Deciduous oak woodland
972 #4ecb89 Evergreen oak woodland
973 #60b0c2 Mesquite woodland
974 #76e45f Cercocarpus (mountain brush) woodland
975 #b3c5ce Intermountain maple woodland
976 #ee73af Miscellaneous woodland hardwoods
982 #9473b4 Mangrove
983 #80d9a8 Palms
995 #e67774 Other exotic hardwoods

FORTYPCD Class Table

Value Color Description
101 #6e26ec Jack pine
102 #c765ec Red pine
103 #efdbcc Eastern white pine
104 #a8a9f2 Eastern white pine / eastern hemlock
105 #d0ce83 Eastern hemlock
121 #47d0b6 Balsam fir
122 #9d86a6 White spruce
123 #a5f77a Red spruce
124 #dcf4d9 Red spruce / balsam fir
125 #64e1f7 Black spruce
126 #afa9b0 Tamarack
127 #f2c531 Northern white-cedar
141 #84d7eb Longleaf pine
142 #ef4677 Slash pine
161 #97f2ad Loblolly pine
162 #d45549 Shortleaf pine
163 #63f3ac Virginia pine
164 #f58de4 Sand pine
165 #e9c991 Table Mountain pine
166 #ddbef2 Pond pine
167 #bba847 Pitch pine
171 #95eacd Eastern redcedar
182 #a6827b Rocky Mountain juniper
184 #bca28a Juniper woodland
185 #cff3f4 Pinyon / juniper woodland
201 #c1ded5 Douglas-fir
202 #948ee9 Port-Orford-cedar
221 #d0ef5b Ponderosa pine
222 #e29af0 Incense-cedar
224 #c34bc3 Sugar pine
225 #e6acb8 Jeffrey pine
226 #ea3b34 Coulter pine
241 #724353 Western white pine
261 #f2c7a0 White fir
262 #6ab27f Red fir
263 #f1f3d3 Noble fir
264 #ea5aba Pacific silver fir
265 #edc7e1 Engelmann spruce
266 #4965e2 Engelmann spruce / subalpine fir
267 #a0f4c4 Grand fir
268 #5697de Subalpine fir
269 #5defc4 Blue spruce
270 #e8f384 Mountain hemlock
271 #cc63bd Alaska-yellow-cedar
281 #e16f3d Lodgepole pine
301 #f5da68 Western hemlock
304 #a63bcf Western redcedar
305 #51d0dd Sitka spruce
321 #6bc5b6 Western larch
341 #f2f4a5 Redwood
361 #576abe Knobcone pine
362 #b56f7c Southwestern white pine
365 #dca5ca Foxtail pine / bristlecone pine
366 #67eff4 Limber pine
367 #ca5483 Whitebark pine
368 #a8bf86 Miscellaneous western softwoods
369 #aff6e9 Western juniper
371 #a53394 California mixed conifer
381 #e9e2eb Scotch pine
383 #d0cfad Other exotic softwoods
384 #eee1b3 Norway spruce
385 #e4db79 Introduced larch
401 #ec42f6 Eastern white pine / northern red oak / white ash
402 #7e9f81 Eastern redcedar / hardwood
403 #4a7196 Longleaf pine / oak
404 #5cd76e Shortleaf pine / oak
405 #37999a Virginia pine / southern red oak
406 #ed54dd Loblolly pine / hardwood
407 #6792f0 Slash pine / hardwood
409 #82eb3e Other pine / hardwood
501 #b8db98 Post oak / blackjack oak
502 #bccc4b Chestnut oak
503 #f22ab1 White oak / red oak / hickory
504 #f6e095 White oak
505 #77989d Northern red oak
506 #718640 Yellow-poplar / white oak / northern red oak
507 #9d4f8d Sassafras / persimmon
508 #c376e4 Sweetgum / yellow-poplar
509 #7cb133 Bur oak
510 #5fa7cc Scarlet oak
511 #9ae6e8 Yellow-poplar
512 #def3b1 Black walnut
513 #b88bf2 Black locust
514 #a5f031 Southern scrub oak
515 #eeafa3 Chestnut oak / black oak / scarlet oak
516 #9bd763 Cherry / white ash / yellow-poplar
517 #b838ee Elm / ash / black locust
519 #e88fbb Red maple / oak
520 #cce5b9 Mixed upland hardwoods
601 #ed8a9c Swamp chestnut oak / cherrybark oak
602 #c8ed2d Sweetgum / Nuttall oak / willow oak
605 #f0bd53 Overcup oak / water hickory
606 #60dad1 Atlantic white-cedar
607 #c790c1 Baldcypress / water tupelo
608 #54c7ef Sweetbay / swamp tupelo / red maple
609 #8e6a31 Baldcypress / pondcypress
701 #cecceb Black ash / American elm / red maple
702 #b1bef2 River birch / sycamore
703 #f077ef Cottonwood
704 #969aca Willow
705 #c4ec84 Sycamore / pecan / American elm
706 #efadec Sugarberry / hackberry / elm / green ash
707 #da23cf Silver maple / American elm
708 #e4c3c0 Red maple / lowland
709 #bf90e1 Cottonwood / willow
722 #52f3eb Oregon ash
801 #a2c9eb Sugar maple / beech / yellow birch
802 #3ff451 Black cherry
805 #6ab7f2 Hard maple / basswood
809 #b3714c Red maple / upland
901 #d28f25 Aspen
902 #f59550 Paper birch
903 #dd82c7 Gray birch
904 #c5f2a0 Balsam poplar
905 #e3f2e7 Pin cherry
911 #b2c2b1 Red alder
912 #4ff389 Bigleaf maple
921 #8772e8 Gray pine
922 #bb24a1 California black oak
923 #c7f7cd Oregon white oak
924 #8fc3c6 Blue oak
931 #f13896 Coast live oak
933 #efe92f Canyon live oak
934 #6c48ae Interior live oak
935 #b3e8cd California white oak (valley oak)
941 #e8a882 Tanoak
942 #b3e0f0 California laurel
943 #6a48de Giant chinkapin
961 #c3ab6e Pacific madrone
962 #f5f169 Other hardwoods
971 #f3c66f Deciduous oak woodland
972 #4ecb89 Evergreen oak woodland
973 #60b0c2 Mesquite woodland
974 #76e45f Cercocarpus (mountain brush) woodland
975 #b3c5ce Intermountain maple woodland
976 #ee73af Miscellaneous woodland hardwoods
982 #9473b4 Mangrove
983 #80d9a8 Palms
991 #e6a25e Paulownia
992 #f8f3b7 Melaleuca
995 #e67774 Other exotic hardwoods
999 #d5cc36 Nonstocked

STDSZCD Class Table

Value Color Description
1 #38a800 Large diameter - Stands with an all live stocking value of at least 10 (base 100); with more than 50 percent of the stocking in medium and large diameter trees; and with the stocking of large diameter trees equal to or greater than the stocking of medium diameter trees.
2 #ffff00 Medium diameter - Stands with an all live stocking value of at least 10 (base 100); with more than 50 percent of the stocking in medium and large diameter trees; and with the stocking of large diameter trees less than the stocking of medium diameter trees.
3 #feba12 Small diameter - Stands with an all live stocking value of at least 10 (base 100) on which at least 50 percent of the stocking is in small diameter trees.
5 #c62363 Nonstocked - Forest land with all live stocking value less than 10.

Image Properties

Image Properties

Name Type Description
year INT

Year of the product.

landfire_ver STRING

Landfire version used as reference and target data for imputation.

Terms of Use

Terms of Use

The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the appropriate citation.

Citations

Citations:
  • Riley, Karin L.; Grenfell, Isaac C.; Finney, Mark A.; Shaw, John D. 2021. TreeMap 2016: A tree-level model of the forests of the conterminous United States circa 2016. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0074.

Explore with Earth Engine

Code Editor (JavaScript)

// Load the full dataset
var dataset = ee.ImageCollection('USFS/GTAC/TreeMap/v2016');

// Get the 2016 image
var tm2016 = dataset.filterDate('2016', '2017').first();

// 'Official' TreeMap 2016 palettes
var bamako = ['00404d', '134b42', '265737', '3a652a', '52741c', '71870b', '969206', 'c5ae32', 'e7cd68', 'ffe599'];
var bamako_r = JSON.parse(JSON.stringify(bamako)).reverse();
var lajolla = ['ffffcc','fbec9a','f4cc68','eca855','e48751','d2624d','a54742','73382f','422818','1a1a01'];
var lajolla_r = JSON.parse(JSON.stringify(lajolla)).reverse();
var imola = ['1a33b3','2446a9','2e599f','396b94','497b85','60927b','7bae74','98cb6d','c4ea67','ffff66'];
var imola_r = JSON.parse(JSON.stringify(imola)).reverse();

// Select all 22 attributes
var alstk = tm2016.select('ALSTK');
var balive = tm2016.select('BALIVE');
var canopypct = tm2016.select('CANOPYPCT');
var carbon_d = tm2016.select('CARBON_D');
var carbon_dwn = tm2016.select('CARBON_DWN');
var carbon_l = tm2016.select('CARBON_L');
var drybio_d = tm2016.select('DRYBIO_D');
var drybio_l = tm2016.select('DRYBIO_L');
var fldszcd = tm2016.select('FLDSZCD');
var fldtypcd = tm2016.select('FLDTYPCD');
var fortypcd = tm2016.select('FORTYPCD');
var gsstk = tm2016.select('GSSTK');
var qmd_rmrs = tm2016.select('QMD_RMRS');
var sdipct_rmrs = tm2016.select('SDIPCT_RMRS');
var standht = tm2016.select('STANDHT');
var stdszcd = tm2016.select('STDSZCD');
var tpa_dead = tm2016.select('TPA_DEAD');
var tpa_live = tm2016.select('TPA_LIVE');
var value = tm2016.select('Value');
var volbfnet_l = tm2016.select('VOLBFNET_L');
var volcfnet_d = tm2016.select('VOLCFNET_D');
var volcfnet_l = tm2016.select('VOLCFNET_L');

// Add all attributes to the map with the 'official' visualization
Map.addLayer(alstk, {'min': 0, 'max': 100, 'palette': bamako_r}, 'ALSTK: All-Live-Tree Stocking (percent)', false);
Map.addLayer(balive, {'min': 24, 'max': 217, 'palette': bamako_r}, 'BALIVE: Live Tree Basal Area (ft²)', false);
Map.addLayer(canopypct, {'min': 0, 'max': 100, 'palette': bamako_r}, 'CANOPYPCT: Live Canopy Cover (percent)', false);
Map.addLayer(carbon_d, {'min': 0, 'max': 9, 'palette': lajolla}, 'CARBON_D: Carbon, Standing Dead (tons/acre)', false);
Map.addLayer(carbon_dwn, {'min': 0, 'max': 7, 'palette': lajolla}, 'CARBON_DWN: Carbon, Down Dead (tons/acre)', false);
Map.addLayer(carbon_l, {'min': 2, 'max': 59, 'palette': lajolla_r}, 'CARBON_L: Carbon, Live Above Ground (tons/acre)', false);
Map.addLayer(drybio_d, {'min': 0, 'max': 10, 'palette': lajolla}, 'DRYBIO_D: Dry Standing Dead Tree Biomass, Above Ground (tons/acre)', false);
Map.addLayer(drybio_l, {'min': 4, 'max': 118, 'palette': lajolla_r}, 'DRYBIO_L: Dry Live Tree Biomass, Above Ground (tons/acre)', false);
Map.addLayer(fldszcd, {}, 'FLDSZCD: Field Stand-Size Class Code', false);
Map.addLayer(fldtypcd, {}, 'FLDTYPCD: Field Forest Type Code');
Map.addLayer(fortypcd, {}, 'FORTYPCD: Algorithm Forest Type Code', false);
Map.addLayer(gsstk, {'min': 0, 'max': 100, 'palette': bamako_r}, 'GSSTK: Growing-Stock Stocking (percent)', false);
Map.addLayer(qmd_rmrs, {'min': 2, 'max': 25, 'palette': bamako_r}, 'QMD_RMRS: Stand Quadratic Mean Diameter (in)', false);
Map.addLayer(sdipct_rmrs, {'min': 6, 'max': 99, 'palette': bamako_r}, 'SDIPCT_RMRS: Stand Density Index (percent of maximum)', false);
Map.addLayer(standht, {'min': 23, 'max': 194, 'palette': bamako_r}, 'STANDHT: Height of Dominant Trees (ft)', false);
Map.addLayer(stdszcd, {}, 'STDSZCD: Algorithm Stand-Size Class Code', false);
Map.addLayer(tpa_dead, {'min': 38, 'max': 126, 'palette': bamako}, 'TPA_DEAD: Dead Trees Per Acre', false);
Map.addLayer(tpa_live, {'min': 252, 'max': 1666, 'palette': bamako_r}, 'TPA_LIVE: Live Trees Per Acre', false);
Map.addLayer(value.randomVisualizer(), {}, 'Value: TreeMap ID', false);
Map.addLayer(volbfnet_l, {'min': 441, 'max': 36522, 'palette': imola_r}, 'VOLBFNET_L: Volume, Live (sawlog-board-ft/acre)', false);
Map.addLayer(volcfnet_d, {'min': 5, 'max': 1326, 'palette': imola_r}, 'VOLCFNET_D: Volume, Standing Dead (ft³/acre)', false);
Map.addLayer(volcfnet_l, {'min': 137, 'max': 5790, 'palette': imola_r}, 'VOLCFNET_L: Volume, Live (ft³/acre)', false);

// Set basemap
Map.setOptions('TERRAIN');

// Center map on CONUS
Map.setCenter(-95.712891, 38, 5);
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