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ArcGIS JavaScript
ArcGIS Enterprise Map Viewer
ArcGIS Earth
Service Description: The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: 1) Land Cover, 2) Land Cover Change, 3) Land Cover Confidence, 4) Fractional Impervious Surface, 5) Impervious Descriptor, and 6) Spectral Change Day of Year. These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this second release, Annual NLCD, Collection 1.1, the six products are available for the Conterminous U.S. for 1985–2024. Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details.
Name: Vegetation/USFS_EDW_NLCD_Landcover_CONUS
Description: The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: 1) Land Cover, 2) Land Cover Change, 3) Land Cover Confidence, 4) Fractional Impervious Surface, 5) Impervious Descriptor, and 6) Spectral Change Day of Year. These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this second release, Annual NLCD, Collection 1.1, the six products are available for the Conterminous U.S. for 1985–2024. Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details.
Single Fused Map Cache: false
Extent:
XMin: -1.43910854222E7
YMin: 2488123.621100001
XMax: -7026295.4222
YMax: 6967723.621100001
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.43910854222E7
YMin: 2488123.621100001
XMax: -7026295.4222
YMax: 6967723.621100001
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.43910854222E7
YMin: 2488123.621100001
XMax: -7026295.4222
YMax: 6967723.621100001
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Time Info:
Start Time Field: beginyear
End Time Field: endyear
Time Extent:
[1985/01/01 00:00:00 UTC, 2024/01/01 00:00:00 UTC]
Time Reference:
N/A
Pixel Size X: 30.0
Pixel Size Y: 30.0
Band Count: 1
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"help": "",
"name": "NLCDLC_AttTbl1",
"description": "Attribute tbl function from FGDB table"
},
{
"help": "",
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset."
}
]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: These products were created by the Annual NLCD team at USGS EROS, Sioux Falls, SD. Refer to the contact information throughout the metadata to contact the team.
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 11
Max Values: 95
Mean Values: 57.401165747106909
Standard Deviation Values: 22.091927121205615
Object ID Field: objectid
Fields:
-
objectid
(
alias: objectid
, type: esriFieldTypeOID
)
-
name
(
length: 200
, alias: name
, type: esriFieldTypeString
)
-
minps
(
alias: minps
, type: esriFieldTypeDouble
)
-
maxps
(
alias: maxps
, type: esriFieldTypeDouble
)
-
lowps
(
alias: lowps
, type: esriFieldTypeDouble
)
-
highps
(
alias: highps
, type: esriFieldTypeDouble
)
-
category
(
alias: category
, type: esriFieldTypeInteger
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
tag
(
length: 100
, alias: tag
, type: esriFieldTypeString
)
-
groupname
(
length: 100
, alias: groupname
, type: esriFieldTypeString
)
-
productname
(
length: 100
, alias: productname
, type: esriFieldTypeString
)
-
centerx
(
alias: centerx
, type: esriFieldTypeDouble
)
-
centery
(
alias: centery
, type: esriFieldTypeDouble
)
-
zorder
(
alias: zorder
, type: esriFieldTypeInteger
)
-
shape
(
alias: shape
, type: esriFieldTypeGeometry
)
-
beginyear
(
alias: beginyear
, type: esriFieldTypeSmallInteger
)
-
endyear
(
alias: endyear
, type: esriFieldTypeSmallInteger
)
-
dataset_name
(
length: 100
, alias: dataset_name
, type: esriFieldTypeString
)
-
public
(
length: 3
, alias: public
, type: esriFieldTypeString
)
-
resolution
(
alias: resolution
, type: esriFieldTypeDouble
)
-
metadata
(
length: 255
, alias: metadata
, type: esriFieldTypeString
)
Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: N/A
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Nearest
Max Record Count: 1000
Max Image Height: 100000
Max Image Width: 100000
Max Download Image Count: 20
Max Mosaic Image Count: 20
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: true
Supports Advanced Queries: true
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: N/A
Ownership Based AccessControl For Rasters: N/A
Child Resources:
Info
Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query GPS Info
Find Images
Image to Map
Map to Image
Measure from Image
Image to Map Multiray
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project