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Service Description: The Stewardship Lands Inventory (SLI) Program is conducted to develop strategies to monitor, adaptively manage, and ensure compliance of NRCS easements enrolled in the Agricultural Conservation Easement Program - Agricultural Land Easement (ACEP-ALE), Agricultural Conservation Easement Program - Wetland Reserve Easement (ACEP-WRE), Emergency Wetlands Reserve Program (EWRP), Wetlands Reserve Program (WRP), Grasslands Reserve Program (GRP), Healthy Forests Reserve program (HFRP), Farm and Ranch Lands Protection Program (FRPP), and the Emergency Watershed Program - Floodplain Easements (EWP-FPE). NRCS shall use the imagery to collect and measure natural resource data by means of photo interpretation and Geographic Information Systems (GIS) technologies. Within each easement, data is collected on land cover and use, soil erosion, wetlands issues, and characteristics of other natural resources.
Purpose: To provide easements imagery acquisition collection information and locations.
Creation Date: 20190712
Publication Date: 20190723
Revision Date:
Refresh Cycle: Final product.
Version: 1.0.0
Change Log: Service Deployed
Report Service Errors
Name: easements/imagery2018
Description: The Stewardship Lands Inventory (SLI) Program is conducted to develop strategies to monitor, adaptively manage, and ensure compliance of NRCS easements enrolled in the Agricultural Conservation Easement Program - Agricultural Land Easement (ACEP-ALE), Agricultural Conservation Easement Program - Wetland Reserve Easement (ACEP-WRE), Emergency Wetlands Reserve Program (EWRP), Wetlands Reserve Program (WRP), Grasslands Reserve Program (GRP), Healthy Forests Reserve program (HFRP), Farm and Ranch Lands Protection Program (FRPP), and the Emergency Watershed Program - Floodplain Easements (EWP-FPE). NRCS shall use the imagery to collect and measure natural resource data by means of photo interpretation and Geographic Information Systems (GIS) technologies. Within each easement, data is collected on land cover and use, soil erosion, wetlands issues, and characteristics of other natural resources.
Purpose: To provide easements imagery acquisition collection information and locations.
Creation Date: 20190712
Publication Date: 20190723
Revision Date:
Refresh Cycle: Final product.
Version: 1.0.0
Change Log: Service Deployed
Report Service Errors
Single Fused Map Cache: false
Extent:
XMin: -1.7737140612999998E7
YMin: 2402335.8116016397
XMax: -7570344.31300232
YMax: 9581651.1116
Spatial Reference: 102100
(3857)
Initial Extent:
XMin: -1.7737140612999998E7
YMin: 2402335.8116016397
XMax: -7570344.31300232
YMax: 9581651.1116
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.7737140612999998E7
YMin: 2402335.8116016397
XMax: -7570344.31300232
YMax: 9581651.1116
Spatial Reference: 102100
(3857)
Pixel Size X: 0.09999999999997716
Pixel Size Y: 0.09999999999997716
Band Count: 4
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "None",
"description": "A No-Op Function.",
"help": ""
},
{
"name": "Color-infrared (CIR)",
"description": "CIR, is short for Color Infrared. Here it refers to rendering a multi-spectral imagery (generally at least 4 or more bands) with NIR (Near Infrared) band, Red band and Green band for the three color guns of Red, Green and Blue, respectively. The resulting image is good for delineating plants, such as its species and biomass. It can also be used in estimating soil moisture and water clarity, and among other uses.",
"help": ""
},
{
"name": "Normalized Difference Vegetation Index (NDVI)",
"description": "NDVI, is short for Normalized Difference Vegetation Index. It basically is the spectral ratio of NIR minus Red to NIR plus Red for a multi-spectral imagery. The ratio itself ranges from -1 to +1. As the name implies, it is highly correlated to the amount of vegetation on the ground, e.g. the higher or more positive the value is, the more vegetation for a given pixel. It has also been used to estimate other plant properties, such as leaf area index, biomass, and chlorophyll content.",
"help": ""
}
]}
Mensuration Capabilities: Basic
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text:
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 27, 43, 32, 3
Max Values: 196, 189, 170, 249
Mean Values: 86.97817908201664, 92.6779533483822, 80.11662904439429, 149.73814898419855
Standard Deviation Values: 25.55195462063077, 22.18769474771322, 20.517677554795494, 35.39457955581063
Object ID Field: OBJECTID
Fields:
-
OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
Name
(
type: esriFieldTypeString, alias: Name, length: 200
)
-
Category
(
type: esriFieldTypeInteger, alias: Category
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
GroupName
(
type: esriFieldTypeString, alias: GroupName, length: 100
)
-
CenterX
(
type: esriFieldTypeDouble, alias: CenterX
)
-
CenterY
(
type: esriFieldTypeDouble, alias: CenterY
)
-
Shape_Length
(
type: esriFieldTypeDouble, alias: Shape_Length
)
-
Shape_Area
(
type: esriFieldTypeDouble, alias: Shape_Area
)
Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: 1000
Max Image Height: 15000
Max Image Width: 15000
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: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Download Rasters
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Validate
Project