20220114
09031800
1.0
FALSE
WMNF2014Objects
file://\\sophie.unh.edu\d\SpaceGrant\Shapefiles\WMNF2014\WMNF2014Objects.shp
Local Area Network
999939.941741
1100129.624891
484931.564826
555051.908837
1
6.741
002
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_New_Hampshire_FIPS_2800_Ft_US
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/2.9.0'><WKT>PROJCS["NAD_1983_2011_StatePlane_New_Hampshire_FIPS_2800_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",984250.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-71.66666666666667],PARAMETER["Scale_Factor",0.9999666666666667],PARAMETER["Latitude_Of_Origin",42.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6525]]</WKT><XOrigin>-17463700</XOrigin><YOrigin>-48257000</YOrigin><XYScale>137246076.82899535</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103104</WKID><LatestWKID>6525</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures Q:\SpaceGrant_2021\WMNF_2014\WMNF_2014_objects.shp R:\Projects\SpaceGrant\2021\Landsat_LiDAR_objects.gdb\WMNF_2014_objects # # # #
Rename \\granit18\r\Projects\SpaceGrant\2021\Landsat_LiDAR_objects.gdb\WMNF_2014_objects \\granit18\r\Projects\SpaceGrant\2021\Landsat_LiDAR_objects.gdb\WMNF_2014_objectsnad83 FeatureClass
Project "WMNF 2014" \\granit18\r\Projects\SpaceGrant\2021\Landsat_LiDAR_objects.gdb\WMNF_2014_objects PROJCS["WGS_1984_UTM_Zone_19N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-69.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] WGS_1984_(ITRF00)_To_NAD_1983 PROJCS["NAD_1983_UTM_Zone_19N",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]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-69.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
Project D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp PROJCS["NAD_1983_2011_StatePlane_New_Hampshire_FIPS_2800_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",984250.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-71.66666666666667],PARAMETER["Scale_Factor",0.9999666666666667],PARAMETER["Latitude_Of_Origin",42.5],UNIT["Foot_US",0.3048006096012192]] WGS_1984_(ITRF08)_To_NAD_1983_2011 PROJCS["WGS_1984_UTM_Zone_19N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-69.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.9.0'><WorkspaceConnectionString>DATABASE=D:\SpaceGrant\Landsat_LiDAR_objects.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>WMNF_2014_objects_Project_sp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Max_pixel_</field_name><new_field_name>nDSM_MAX</new_field_name><field_alias>nDSM_MAX</field_alias><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Mean_nDSM</field_name><new_field_name>nDSM_MEAN</new_field_name><field_alias>nDSM_MEAN</field_alias><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Min_pixel_</field_name><new_field_name>nDSM_MIN</new_field_name><field_alias>nDSM_MIN</field_alias><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Standard_d</field_name><new_field_name>nDSM_SD</new_field_name><field_alias>nDSM_SD</field_alias><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence>
FeatureClassToFeatureClass D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp D:\SpaceGrant\Shapefiles\WMNF2014 WMNF2014Objects.shp # "nDSM_MAX "nDSM_MAX" true true false 8 Double 0 0,First,#,D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp,nDSM_MAX,-1,-1;nDSM_MEAN "nDSM_MEAN" true true false 8 Double 0 0,First,#,D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp,nDSM_MEAN,-1,-1;nDSM_MIN "nDSM_MIN" true true false 8 Double 0 0,First,#,D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp,nDSM_MIN,-1,-1;nDSM_SD "nDSM_SD" true true false 8 Double 0 0,First,#,D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp,nDSM_SD,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,D:\SpaceGrant\Landsat_LiDAR_objects.gdb\WMNF_2014_objects_Project_sp,Shape_Area,-1,-1" #
20220126
08325200
20220126
08325200
FGDC
GRANIT Database Manager
Earth Systems Research Center
GRANIT Database Manager
(603) 862-1214
(603 862-0188
Morse Hall, University of New Hampshire
Durham
NH
03824
US
granit@unh.edu
20220119
ArcGIS Metadata
1.0
Shapefile6.741
2014 Landsat and LiDAR-Derived Canopy Height Metrics for White Mountain National Forest
2022-01-01
Earth Systems Research Center, University of New Hampshire
vector digital data
This polygon dataset is derived from Landsat reflectance and LiDAR elevation data. The polygon boundaries represent "image objects" that were derived using eCognition image segmentation software. In this project, the software was used to group image pixels into contiguous segments based on spectral reflectance and the normalized digital surface model. The attributes for each polygon are then calculated from the LiDAR crown height layer. Attributes include maximum, minimum, and mean elevation above the ground and standard deviation within each polygon. Elevation is in meters. Landsat data and LiDAR data were collected in 2014.
This dataset combines Landsat reflectance data and LiDAR crown height data in a polygon format. Data represent portions of White Mountain National Forest, in central New Hampshire, USA.
These data were developed by NH GRANIT using funding from the New Hampshire Space Grant Consortium.
United States, New England, Northeast, New Hampshire, White Mountain National Forest
elevation
environment
ISO 19115 Topic Categories
LiDAR, Landsat
elevation
environment
LiDAR, Landsat
United States, New England, Northeast, New Hampshire, White Mountain National Forest
Users must assume responsibility to determine the appropriate use of these data. Because of the nature of the source imagery (30m pixels), it is not recommended that the data be used at scales greater than 1:60,000.
Digital data in NH GRANIT represent the efforts of the contributing agencies to record information from the cited source materials. Earth Systems Research Center (CSRC), under contract to the NH Office of State Planning (OSP), and in consultation with cooperating agencies, maintains a continuing program to identify and correct errors in these data. OSP, CSRC, and the cooperating agencies make no claim as to the validity or reliability or to any implied uses of these data.
Esri ArcGIS 10.9.0.32739
true
-71.612812
-71.219639
44.029285
43.828124
This dataset represents portions of White Mountain National Forest, in the vicinity of Mt Kancamagus and Mt Whiteface in central New Hampshire, USA.
2014-10-03
2014-11-06
1-71.607209-71.22612244.02283943.829649
Polygon topology exists.
Data are complete for the study area.
The eCognition software (version 10.1, Trimble, Inc.) was used to generate image objects to depict landscape features based on reflectance values from the Landsat 8 Operational Land Imager (OLI) and LiDAR derived canopy height measures (nDSM). The eCognition multiresolution segmentation algorithm was used with the following settings to create the image objects; Scale paramter: 50, Shape: 0.25, and Compactness: 0.75. Both OLI and nDSM were used as input to the algorithm and carried the same weight values. Processing was constrained to the area defined by the WMNF, 2014 LiDAR collection. The resulting image objects were subsequently exported to a shapefile.
2021-12-06
GRANIT Database Manager
Earth Systems Research Center
GRANIT Database Manager
(603) 862-1214
(603 862-0188
Morse Hall, University of New Hampshire
Durham
NH
03824
US
granit@unh.edu
OLI, nDSM
LiDAR-Derived Normalized Digital Surface Model represents a 2-meter resolution LiDAR-derived normalized Digital Surface Model (nDSM) or Canopy Height Model (CHM) for New Hampshire. It was derived from a statewide LAS Dataset which comprised 8 separate LiDAR collections that covered the state as of January, 2020. The LAS Dataset was used as input to the ArcGIS "LAS Dataset to Raster" geoprocessing tool which converted the LAS first return values to raster values in the output data set. Subsequent processing subtracted the corresponding "bare earth" surface values to produce estimated feature height. It is recognized that this is a simplistic approach to the challenge of estimating LiDAR-based first return heights. Users should recognize this and keep it in mind when using the data. This dataset comprises elevation values from the following years: 2011 2012 2014 2016 2018
LiDAR-Derived Normalized Digital Surface Model - NH
nDSM
2021
Earth Systems Research Center
ground condition
2011-05-06
2018-05-24
Landsat 8 Operational Land Imager Dataset (OLI), used as basis for image segmentation
Landsat 8 Operational Land Imager data
OLI1
2020-05-27
U.S. Geological Survey
U.S. Geological Survey
Sioux Falls, SD
remote-sensing image
Product ID: LC08_L1TP_013029_20170520
ground condition
2017-05-20
20359
WMNF2014ObjectsUmbagog image object polygonsEarth Systems Research CenterFeature Class20359FIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.EsriCoordinates defining the features.nDSM_MAXMaximum pixel height above ground within the polygon, measure in meters.Earth Systems Research CenterEach value represents a unique elevation.nDSM_MEANMean pixel height above ground within polygon, measured in meters.Earth Systems Research CenterEach value represents a unique elevation.nDSM_MINMinimum pixel height above ground within the polygon, measured in meters.Earth Systems Research CenterEach value represents a unique elevation.nDSM_SDStandard deviation of pixel heights within the polygon, measured in meters.Earth Systems Research CenterEach value represents a unique elevation.Shape_LengFeature geometry.EsriCoordinates defining the features.Shape_AreaArea of feature in internal units squared.EsriPositive real numbers that are automatically generated.
datasetEPSG8.2.10(10.3.1)SimpleFALSE20359TRUEFALSE