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Service Description: This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. The methodology used for the collection of these data can be found on landscapetoolbox.org and the Monitoring Manual, 2nd Edition. These data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. These include monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard core indicators and methods, electronic data capture and management, and integration with remote sensing. Attributes include the BLM terrestrial core indicators: bare ground, vegetation composition, plant species of management concern, non-native invasive species, and percent canopy gaps (see each layer metadata for exact details on attributes). Data were collected and managed by BLM Field Offices, BLM Districts, and/or affiliated field crews with support from the BLM National Operations Center. Data are stored in a centralized database (TerrADat) at the BLM National Operations Center.
Map Name: BLM Assesment, Inventory, and Monitoring (AIM) Data
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Description: This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. The methodology used for the collection of these data can be found on landscapetoolbox.org and the Monitoring Manual, 2nd Edition. These data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. These include monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard core indicators and methods, electronic data capture and management, and integration with remote sensing. Attributes include the BLM terrestrial core indicators: bare ground, vegetation composition, plant species of management concern, non-native invasive species, and percent canopy gaps (see each layer metadata for exact details on attributes). Data were collected and managed by BLM Field Offices, BLM Districts, and/or affiliated field crews with support from the BLM National Operations Center. Data are stored in a centralized database (TerrADat) at the BLM National Operations Center.
Copyright Text: Bureau of Land Management, Network Operations Center (NOC)
Spatial Reference:
4326
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Single Fused Map Cache: false
Initial Extent:
XMin: -160.776554896
YMin: 69.91289463089784
XMax: -102.956993184
YMax: 76.30179647752767
Spatial Reference: 4326
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Full Extent:
XMin: -159.82151999999996
YMin: 31.784398000000067
XMax: -100.70327075199998
YMax: 71.14098000000007
Spatial Reference: 4326
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Units: esriDecimalDegrees
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
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Comments: This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. The methodology used for the collection of these data can be found on landscapetoolbox.org and the Monitoring Manual, 2nd Edition. These data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. These include monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard core indicators and methods, electronic data capture and management, and integration with remote sensing. Attributes include the BLM terrestrial core indicators: bare ground, vegetation composition, plant species of management concern, non-native invasive species, and percent canopy gaps (see each layer metadata for exact details on attributes). Data were collected and managed by BLM Field Offices, BLM Districts, and/or affiliated field crews with support from the BLM National Operations Center. Data are stored in a centralized database (TerrADat) at the BLM National Operations Center.
Subject: This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies.
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Keywords: AIM,TerrADat,AIM_Policy,AIM_Protocol,AIM_AK,AIM_AZ,AIM_CA,AIM_CO,AIM_ID,AIM_MTDA,AIM_NV,AIM_NM,AIM_ORWA,AIM_UT,AIM_WY,AIM_NATL,environment,biota,Range,Wildlife,Vegetation,Endangered,Hydrology
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: false
MaxRecordCount: 10000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON
Supports Query Data Elements:
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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