20220114
10275500
1.0
FGDC CSDGM Metadata
FALSE
Central_Southeast_objects
919941.190649
1242061.124492
72025.304354
365048.892519
1
155.089
002
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_New_Hampshire_FIPS_2800_Ft_US
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20220127
15323200
20220127
15323200
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
File Geodatabase Feature Class
Landsat and LiDAR-Derived Canopy Height Metrics for Central and Southeast New Hampshire
2021-12-15
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. The software groups image pixels into contiguous segments based on spectral reflectance. 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. This dataset incorporates Landsat imagery collected in 2018 and 2020. LiDAR data were collected in 2011 and 2012.
This dataset combines Landsat reflectance data and LiDAR crown height data in a polygon format. Data represent portions of southeast New Hampshire, USA, including Rockingham County and portions of Belknap, Hillsborough, Merrimack, and Strafford Counties.
These data were developed by NH GRANIT using funding from the New Hampshire Space Grant Consortium.
United States, New England, Northeast, New Hampshire
LiDAR, Landsat, elevation
environment
elevation
ISO 19115 Topic Categories
LiDAR, Landsat, elevation
environment
elevation
United States, New England, Northeast, New Hampshire
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
-71.941782
-70.692710
43.512731
42.683238
This dataset represents portions of southeast New Hampshire, including Rockingham County and portions of Belknap, Hillsborough, Merrimack, and Strafford Counties.
2011-10-01
2020-05-21
1
-71.909041
-70.695062
43.501603
42.693619
Polygon topology exists.
Data are complete for the study area.
ArcGIS Pro was used to create a mosaic of OLI1 and OLI2. Values from OLI2 were written to the output dataset where NDVI values calculated
from OLI1 were below 0.695. For all other areas, values from OLI1 were written to the output dataset.
2021-12-06
OLI1, OLI2
OLI
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 Coastal, Merrimack, and Nashua LiDAR collections. 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 - NH, used as basis for image segmentation.
LiDAR-Derived Normalized Digital Surface Model - NH
nDSM
2021
Earth Systems Research Center
raster digital data
This data set 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
ground contition
2011-05-06
2018-05-24
Landsat 8 Operational Land Imager Dataset 1 (OLI1), used as basis for image segmentation
Landsat 8 Operational Land Imager data
OLI1
2020-05-27
U.S. Geological Survey
remote-sensing image
Product ID: LC08_L1TP_012030_20200521_20200527_01_T1
ground condition
2020-05-21
Landsat 8 Operational Land Imager Dataset 2 (OLI2), used as basis for image segmentation
Landsat 8 Operational Land Imager data
OLI2
2018-07-19
U.S. Geological Survey
U.S. Geological Survey
Sioux Falls, SD
remote-sensing image
Product ID: LC08_L1TP_012030_20180719_20180731_01_T1
ground condition
2018-07-19
682879
CentralSoutheastObjects
Central and Southeast NH image object polygons
Earth Systems Research Center
Feature Class
682879
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
nDSM_MAX
Maximum pixel height above ground within the polygon, measure in meters.
Earth Systems Research Center
Each value represents a unique elevation.
nDSM_MEAN
Mean pixel height above ground within polygon, measured in meters.
Earth Systems Research Center
Each value represents a unique elevation.
nDSM_MIN
Minimum pixel height above ground within the polygon, measured in meters.
Earth Systems Research Center
Each value represents a unique elevation.
nDSM_SD
Standard deviation of pixel heights within the polygon, measured in meters.
Earth Systems Research Center
Each value represents a unique elevation.
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
dataset
EPSG
8.2.10(10.3.1)
Simple
FALSE
682879
TRUE
FALSE