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Service Description: This dataset contains geothermal leases cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm.
BLM_Natl_MLRS_Geothermal_Leases
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Description: This dataset contains geothermal leases cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm.
U.S. Department of Interior, Bureau of Land Management (BLM)
Spatial Reference:
4269
(4269)
Single Fused Map Cache: false
Initial Extent:
XMin: -132.559479711585
YMin: 19.74504110404446
XMax: -66.40317532909677
YMax: 61.20215812256025
Spatial Reference: 4269
(4269)
Full Extent:
XMin: -135.84119822999997
YMin: 31.332526565000023
XMax: -79.43667799999997
YMax: 57.16585739900006
Spatial Reference: 4269
(4269)
Units: esriDecimalDegrees
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: BLM Natl MLRS Geothermal Leases
Author:
Comments: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>This dataset contains geothermal leases cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Subject: To geospatially represent geothermal leases case group data within Mineral and Land Records System (MLRS)
Category:
Keywords: Alabama,Alaska,Arizona,Arkansas,Authorization,boundaries,California,Colorado,Connecticut,Delaware,District of Columbia,Eastern States,Energy,Florida,Geology,Georgia,geoscientificInformation,Geospatial,Idaho,Illinois,Indiana,Iowa,Kansas,Kentucky,land grid,lease,Louisiana,Maine,Management,Maryland,Massachusetts,Michigan,mining,Minnesota,Mississippi,Missouri,Montana,Nebraska,Nevada,New Hampshire,New Jersey,New Mexico,New York,North Carolina,North Dakota,Ohio,Oklahoma,Oregon,Pennsylvania,permit,planningCadastre,PLSS,Public Land Survey System,Range,Rhode Island,section,South Carolina,South Dakota,Tennessee,Texas,township,Utah,Vermont,Virginia,Washington,West Virginia,Wisconsin,Wyoming
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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