20190619
14011300
1.0
FGDC CSDGM Metadata
FALSE
FHP_Damage_Points_Flat_Decode
-162.338920
-69.672457
19.073482
68.113486
1
002
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.7'><WKT>GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.98315284119521e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
20220706
09310000
20250707
14240800
500000
5000
FGDC
USFS Chief Information Office, Enterprise Data Warehouse
Please send an e-mail to the address below.
Washington
DC
20250
data@fs.fed.us
ArcGIS Metadata
1.0
USFS Chief Information Office, Enterprise Data Warehouse
Please send an e-mail to the address below.
Washington
DC
20250
data@fs.fed.us
http://data.fs.usda.gov/geodata/edw/datasets.php
https://www.fs.fed.us/foresthealth/applied-sciences/mapping-reporting/detection-surveys.shtml
Feature Class
USA
2026-06-09T16:49:53
U.S. Forest Service
vector digital data
FHP_Damage_Points_Flat_Decode
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. It is a Forest Health Protection (FHP) dataset. Point data is collected using the Digital Mobile Sketch Mapping (DMSM) system. Points are recommended for small clusters of tree damage where extent of damage is less important than recording a location. All the features in this dataset have a one-to-one relationship with their attributes (flat). All of the original lookup tables have been applied and added to the attribute table (decoded). ***AERIAL DETECTION SURVEY DATA DISCLAIMER: Forest Health Protection (FHP) and its partners strive to maintain an accurate Aerial Detection Survey (ADS) Dataset, but due to the conditions under which the data are collected, FHP and its partners shall not be held responsible for missing or inaccurate data. ADS are not intended to replace more specific information. An accuracy assessment has not been done for this dataset; however, ground checks are completed in accordance with local and national guidelines http://www.fs.fed.us/foresthealth/aviation/qualityassurance.shtml. Maps and data may be updated without notice. Please cite "USDA Forest Service, Forest Health Protection and its partners" as the source of this data in maps and publications.***</SPAN></P></DIV></DIV></DIV>
To provide a single, consistent source for all aerially detected insect, disease, and abiotic forest damage data to facilitate national and multi-regional reporting of damage for both Forest Health Monitoring and Forest Health Protection. The purpose of the point feature class is to represent small clusters of tree damage where extent of damage is less important than recording a location.
USDA Forest Service, Forest Health Protection and its partners
USFS Chief Information Office, Enterprise Data Warehouse
Please send an e-mail to the address below.
Washington
DC
20250
data@fs.fed.us
Condition
National Forest
Forest health
Forest condition
Insect populations
Aerial survey
Disease
Tree mortality
Topkill
Damage
Tree stress
Insect
Insect outbreaks
Defoliation
Sketch map
Health
Dieback
ISO 19115 Topic Categories
environment
biota
health
Condition
National Forest
Forest health
Forest condition
environment
Insect populations
Aerial survey
Disease
biota
Tree mortality
Topkill
Damage
health
Tree stress
Insect
Insect outbreaks
Defoliation
Sketch map
Health
Dieback
The U.S. Forest Service makes no warranty, express or implied, nor assumes any liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data or for the improper or incorrect use of those data. The data are dynamic and may change over time. The user is responsible for verifying the limitations of the geospatial data and for using the data accordingly.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Users need to exercise caution regarding the spatial accuracy of these data due to the subjective nature of aerial sketchmapping and the varying scales of source materials. Comparison with other datasets for the same area from other time periods may be inaccurate due to inconsistencies resulting from rounding of decimal coordinates during conversion, changes in mapping conventions over time, change in assignment of damage causal agent, and type of data collection. Any products (hardcopy or electronic) using these data sets shall clearly indicate their source. If the user has modified the data in any way, they are obligated to describe the modifications on all products. The user specifically agrees not to misrepresent these data sets, nor to imply that changes made were approved by the USDA Forest Service. ***Related to TPA: The aerial survey community has recognized there is a tree mortality underestimate occurring in high mortality areas. There have been efforts to improve the accuracy in these cases in the last couple of years, and the 2010 (and beyond) estimates are likely to be closer to the truth. Some of the contributing factors appear to be a) the inter-mixing of several years' worth of mortality, which makes it hard to see the newly killed trees in among the previous years' dead; b) the need to draw very large polygons, which tend to be more heterogeneous (more inclusions of non-host and non-forest areas), which make it necessary to not only estimate the number of dead trees in a forest context, but also to make mental adjustment of how much of these large polygons is non-type; c) the recent bark beetle events were at an unprecedented scale and intensity beyond the experience of most any of our observers. ****Related to Polygon Issues During Outbreaks: ADS polygons during outbreaks (such as the mountain pine beetle outbreak in the west) are larger both because the areas of contiguous mortality are larger and also because the observers are only able to record a limited number of polygons given the flight speed. When there are a large number of mortality groups being observed, the observers must include multiple groups of mortality in a single polygon to keep up. This tends to include more areas of non-mortality host, non-host types, and non-forested areas(the areas between the individual groups of red trees). 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.</SPAN></P></DIV></DIV></DIV>
Ground condition
2015-01-01
2017-01-01
-180
180
13.399051
85.67673
At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map forest damage. Observers use paper maps, typically 1:100,000 scale USGS maps, upon which they record the damage. There is also a digital sketchmap system that may be used. The digital system uses GPS to display the plane's current location on screen along with an electronic version of a variety of base maps. It allows the observer to record damage areas directly in a GIS database. Due to the nature of aerial surveying, there may be areas within the delineated polygons that are unaffected. For example, an area with a patchy mosaic of forest insect activity may be recorded as one larger polygon by the observer. During aerial surveys, only fading trees (those with yellow, brown, or red foliage) or those with some defoliation are mapped. Older dead trees which have lost their foliage or have dull colored foliage are not typically mapped for two primary reasons: 1) it is harder to see older dead trees that may have lost their needles and 2) it prevents recording trees that were mapped in a prior year's survey. Overview surveys are a 'snap shot' in time and therefore may not be timed to accurately capture the true extent or severity of a particular disturbance activity. Specially designed surveys with modified flight patterns and timing may be conducted to more accurately delineate the extent and severity of a particular disturbance agent. Special surveys are conducted when resources are available to address situations of sufficient economic, political or environmental importance.
*** Year 2020 and COVID-19*** Insect and disease surveys for 2020 were impacted by COVID-19 and some regions and states had reduced coverage or were unable to conduct aerial surveys. In place of aerial surveys, regions and states may have used a "scan and sketch" method to derive damage areas by viewing various high resolution remote sensing products on DMSM desktop and tablet data collection platforms. Ground surveys were also conducted. Both methods were not a full replacement for aerial surveys and in several areas, there was a reduction in surveyed acres in 2020. These data include all data sources.
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
1
-162.338920
-69.672457
68.113486
19.073482
Region 9 is comprised of three field offices: The Durham Field Office is responsible for the following states: Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island and Vermont. The Morgantown Field Office is responsible for the following: Delaware, Maryland, New Jersey, Ohio, Pennsylvania, West Virginia and Washington DC. The St. Paul Field Office is responsible for the following states: Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri and Wisconsin.
100000
Northeastern Area Aerial Insect and Disease Detection Survey for insect and disease activity
Northeastern Area Aerial Insect and Disease Detection Survey for insect and disease activity
2026-06-09T16:49:53
U.S. Forest Service
publication date
2026-03-10
Region 1 Aerial Insect and Disease Detection Survey for insect and disease activity. Region 1 includes lands in northern Idaho, northeastern Washington, Montana, North Dakota and northwestern South Dakota. Region 2 Aerial Insect and Disease Detection Survey for insect and disease activity Region 2 includes lands in Colorado, Kansas, Nebraska, South Dakota and central and eastern Wyoming. Region 3 Forest Insect and Disease Activity Mapped from aerial Detection Surveys Region 3 includes lands in New Mexico and Arizona. Region 4 Aerial Insect and Disease Detection Survey for insect and disease activity. Region 4 includes lands in Utah, Nevada, western Wyoming and southern Idaho. Region 5 Aerial Insect and Disease Detection Survey for insect and disease activity Region 5 includes California, Hawaii and US affiliated Pacific Islands, but only reports data for California. Region 6 Aerial Insect and Disease Detection Survey for insect and disease activity Region 6 includes Oregon and Washington. Region 8 Aerial Insect and Disease Detection Survey for insect and disease activity Region 8 includes Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia and Puerto Rico. Region 10 Aerial Insect and Disease Detection Survey for insect and disease activity Region 10 includes Alaska.
Regional Aerial Insect and Disease Detection Survey for insect and disease activity
Regional Aerial Insect and Disease Detection Survey for insect and disease activity
2026-06-09T16:49:53
U.S. Forest Service
Publication Date
2026-03-10
In 2020, a method called "scan and sketch" was employed as a response to reduced aerial survey because of COVID-19 travel and safety restrictions. This method was used to derive damage areas by viewing various high resolution remote sensing products on DMSM desktop and tablet data collection platforms. Additional information on what imagery was used can be found in the NOTES field in the form: Remote sensing platform; image acquisition date; approximate hours spent digitizing as in NA20;202000806;014H for NAIP2020 acquired on 8/6/2020 which took 14 hours to digitize damage data.
Southern Pine Beetle (SPB) Data Portal. Points for SPB or other agents entered into the portal are downloaded, buffered and annually and loaded into the IDS database.
For DMSM data, features are collected using DMSM tablets and synced to a central online database throughout the survey season. FHAAST provides a standard set of data quality checking tests that can be run in ESRI's Data Reviewer extensions. Tests highlight data issues that need review by the regions/states that collected the data. FHAAST also provides a custom suite of tools via the DMSM Desktop Tools ArcMap plug-in module to facilitate the check-out and editing workflow along with data extracting workflows. National data is extracted at the end of the season from the annual DMSM database and combined with prior year's DMSM and legacy data to create one historic national dataset.
2026-03-10
For Non-DMSM data, features are collected by other means and submitted to FHAAST using an IDS data template with a schema that matches the national historic dataset. A core set of attributes like damage causing agent, host, damage type, etc., must be present in the data and submitted via the template.
2026-03-10
This dataset covers the forested areas surveyed in the United States. The entire forested area of the U.S. is not surveyed, thus this dataset does not provide complete coverage.
All polygons have a set of attributes. However, many attributes may contain "no data" values. Attribute accuracy was checked by individual staff units prior to submission to FHTET for inclusion in the National dataset.
FHP_Damage_Points_Flat_Decode
A collection of geographic features with the same geometry type (such as point, line, or polygon), the same attributes, and the same spatial reference.
Esri GIS Dictionary
Feature Class
393857
OBJECTID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
10
0
DAMAGE_POINT_ID
Unique ID generated for each feature.
U.S. Forest Service
ID
DAMAGE_POINT_ID
String
50
0
0
CREATED_DATE
Timestamp for when feature was created
U.S. Forest Service
Date
CREATED_DATE
Date
8
0
0
MODIFIED_DATE
Timestamp for when feature geometry or attribute data was last modified
U.S. Forest Service
Date
MODIFIED_DATE
Date
8
0
0
FEATURE_USER_ID
User_ID of the user that created or modified the feature
U.S. Forest Service
ID
FEATURE_USER_ID
String
50
0
0
OBSERVATION_USER_ID
User_ID of the user that created or modified the observation record
U.S. Forest Service
ID
OBSERVATION_USER_ID
String
50
0
0
REGION_ID
U.S. Forest Service Region, consisting of Region 01 (Northern Region), Region 02 (Rocky Mountain Region), Region 03 (Southwestern Region), Region 04 (Intermountain Region), Region 05 (Pacific Southwest Region), Region 06 (Pacific Northwest Region), Region 08 (Southern Region), Region 09 (Eastern Region), and Region 10 (Alaska Region). There is no Region 07.
U.S. Forest Service
Region name/numbers as integers.
REGION_ID
Integer
4
10
0
LABEL
DMSM Quick Key Label (DMSM data only)
U.S. Forest Service
Text
LABEL
String
20
0
0
HOST_CODE
Host tree species code
Host_List codes (https://www.fs.fed.us/foresthealth/technology/docs/Host_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Host Tree Species Codes
Host_List codes (https://www.fs.fed.us/foresthealth/technology/docs/Host_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
HOST_CODE
Integer
4
10
0
HOST
Host tree species
Host_List codes (https://www.fs.fed.us/foresthealth/technology/docs/Host_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Host Tree Species Codes
Host_List codes (https://www.fs.fed.us/foresthealth/technology/docs/Host_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
HOST
String
100
0
0
HOST_GROUP_CODE
Host group code (DMSM data only)
Host_List codes (https://www.fs.fed.us/foresthealth/technology/docs/Host_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Host group codes
Host_List codes (https://www.fs.fed.us/foresthealth/technology/docs/Host_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
HOST_GROUP_CODE
Integer
4
10
0
HOST_GROUP
Description of host group members which is a set of no more than five individual tree species that are hosts for a specific forest pest agent and are commonly found growing together.
Host_List codes (https://www.fs.fed.us/foresthealth/technology/docs/Host_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Text
HOST_GROUP
String
50
0
0
DCA_CODE
Damage-causing agent code
Damage Causing Agent codes (https://www.fs.fed.us/foresthealth/technology/docs/DCA_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Damage Causal Agent Codes
Damage Causing Agent codes (https://www.fs.fed.us/foresthealth/technology/docs/DCA_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
DCA_CODE
Integer
4
10
0
DCA_COMMON_NAME
Common name for damage agent
Damage Causing Agent codes (https://www.fs.fed.us/foresthealth/technology/docs/DCA_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Damage Causal Agent Codes
Damage Causing Agent codes (https://www.fs.fed.us/foresthealth/technology/docs/DCA_List.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
DCA_COMMON_NAME
String
255
0
0
DAMAGE_TYPE_CODE
Damage type identification code
: Damage Type Code (https://www.fs.fed.us/foresthealth/technology/docs/DamageTypeList.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
1
Defoliation (for legacy DASM data only)
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
2
Mortality (Current)
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
3
Crown Discoloration
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
4
Crown Dieback
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
5
Topkill
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
6
Branch Breakage
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
7
Main stem Broken or Uprooted
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
8
Branch Flagging
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
9
No Damage
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
10
Other Damage (legacy DASM data only)
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
11
Mortality - Previously Undocumented
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
12
Defoliation < 50% of leaves defoliated
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
13
Defoliation 50-75% of leaves defoliated
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
14
Defoliation > 75% of leaves defoliated
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
15
Mortality and Topkill (retired code)
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
16
Mortality and Crown Dieback (retired code)
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
17
Mortality and Branch Flagging (retired code)
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
18
Other Damage (known)
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
19
Unknown Damage
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
99
No Data
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
-1
No Data
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
DAMAGE_TYPE_CODE
Integer
4
10
0
DAMAGE_TYPE
Damage type identification description
Damage Type Code (https://www.fs.fed.us/foresthealth/technology/docs/DamageTypeList.xlsx) from Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
name for damage type code
DAMAGE_TYPE
String
255
0
0
NUMBER_OF_TREES_CODE
Tree count range of affected trees code
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
1
1 tree
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
2
2-5 trees
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
3
6-15 trees
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
4
16-30 trees
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
5
> 30 trees
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
NUMBER_OF_TREES_CODE
SmallInteger
2
5
0
NUMBER_OF_TREES_COUNT_RANGE
Tree count range of affected trees
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Description of code
NUMBER_OF_TREES_COUNT_RANGE
String
10
0
0
RANGE_MIN
RANGE_MIN
SmallInteger
2
5
0
minimum value of number of trees range
U. S. Forest Service
RANGE_MAX
RANGE_MAX
SmallInteger
2
5
0
maximum value of number of trees range
U. S. Forest Service
RANGE_MID
RANGE_MID
Double
8
38
8
Midpoint of number of trees range
U. S. Forest Service
NOTES
Notes or comments generally originating from source data
U. S. Forest Service
Character Field
NOTES
String
500
0
0
OBSERVATION_COUNT
Describes whether a feature has SINGLE or MULTIPLE observations associated with it.
U.S. Forest Service
Textual description
OBSERVATION_COUNT
String
10
0
0
COLLECTION_MODE
DMSM mode. This value comes either from the DMSM collection device or from editing with DMSM Desktop Tools.
U.S. Forest Service
Aerial_Survey
mode collected from DMSM tablet
USFS
Ground_Check
mode collected from DMSM tablet
USFS
DesktopGIS
mode assigned during editing with DMSM Desktop tools
USFS
COLLECTION_MODE
String
50
0
0
ACRES
Estimated acres associated with the point. Value guided by local standards, but generally ranges from .25 to 2 acres.
U. S. Forest Service
Numeric field containing the area of a feature in acres.
ACRES
Double
8
38
8
STATUS
Polygon's status for inclusion in Rollups and/or reports
U.S. Forest Service
1
Promote
U.S. Forest Service
2
Do not Promote
U.S. Forest Service
3
Defer - regulated pest
U.S. Forest Service
4
Defer - non-regulated pest
U.S. Forest Service
STATUS
SmallInteger
2
5
0
SURVEY_YEAR
Year in which survey was conducted.
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Numerical representation of year.
SURVEY_YEAR
SmallInteger
2
5
0
GRP
Group: Sequential number for each record that describes the same area (applies to legacy data only).
U.S. Forest Service
Integer
GRP
SmallInteger
2
5
0
OBSERVATION_ID
Unique ID for observation record
U.S. Forest Service
ID
OBSERVATION_ID
String
50
0
0
IDS_DATA_SOURCE
Data source for area features. Legacy features can have origins from paper maps or legacy DASM system.
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
87
IDS LEGACY FEATURES
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
89
DMSM_DAMAGE_POINTS
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
91
REMOTE_SENSING
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
92
NON-DMSM_GROUND
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
93
NON_DMSM_OTHER
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
IDS_DATA_SOURCE
String
20
0
0
DATA_SOURCE_NAME
Name description of data source
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
Data source name
DATA_SOURCE_NAME
String
50
0
0
US_AREA
The area of the US that the dataset covers.
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
CONUS
Continental United States
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
Alaska
Alaska
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
Hawaii
Hawaiian Islands
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
Puerto Rico
Puerto Rico and Virgin Islands
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards
US_AREA
String
20
0
0
SHAPE
Feature geometry.
ESRI
Coordinates defining the features.
SHAPE
Geometry
4
0
0
TREE_COUNT
TREE_COUNT
Integer
4
10
0
specific tree count
Forest Health Detection Survey - GIS Handbook and Data Conformity Standards (https://www.fs.fed.us/foresthealth/technology/docs/DMSM_Tutorial/story_content/external_files/GIS-Handbook-for-Forest-Health-Detection-Survey.pdf)
dataset
EPSG
6.12(3.0.1)
393857
Simple
FALSE
393857
TRUE
FALSE
20250707