Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: NYS Cyber Security and Critical Infrastructure
Coordination
Publication_Date: 2003 and 2004
Title: Cayuga, Cortland, Schuyler, Seneca, Tioga, and
Tompkins County Orthoimagery
Geospatial_Data_Presentation_Form: remote-sensing image
Series_Information:
Series_Name: NYS Digital Orthoimagery Program (NYSDOP)
Issue_Identification: 2002 and 2003
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2002
Ending_Date: 2003
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: NYSDOP
Source_Contribution: High-resolution aerial imagery used as the basis for
interpretation of small extent land use and land cover
types.
Source_Information:
Source_Citation:
Citation_Information:
Originator: United States Department of Agriculture (USDA)
Originator: National Agricultural Statistics Service (NASS)
Originator: Research and Development Division, Geospatial
Information Branch, Spatial Analysis Research
Section (SARS)
Publication_Date: 20060101
Title: New York Cropland Data Layer, 2002
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: USDA-NASS Cropland Data Layer
Issue_Identification: New York, 2002
Source_Scale_Denominator: 100000
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20020504
Ending_Date: 20020912
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: NASS CDL
Source_Contribution: Agricultural land cover types
Source_Information:
Source_Citation:
Citation_Information:
Originator: NASA/USGS
Publication_Date: unknown
Title: Landsat-5 Thematic Mapper
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20040809
Ending_Date: 20041028
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Landsat
Source_Contribution: Forest/brush cover types
Process_Step:
Process_Description: Phase 1: mapping of small extent land uses. NYSDOP
imagery for all six counties of the Cayuga Lake watershed
was downloaded from the New York State Geographic
Information Clearinghouse. Due to the large number of image
tiles, the images were added to an ArcGIS Geodatabase Image
Catalog. In ESRI ArcGIS 9.1, the imagery was visually
analyzed. All land use areas within the Cayuga Lake
watershed that could be interpreted as Commercial,
Disturbed, Industrial, Institutional, Outdoor Recreation,
Residential, Transportation, Water, and Agricultural -
Farmsteads land use or cover types were digitized. The
aerial imagery was generally observed and digitized at a
scale of 1:1,800 to identify the locations of these land
uses. No minimum mapping unit was applied during this
process.
Source_Used_Citation_Abbreviation: NYSDOP
Process_Date: unknown
Process_Step:
Process_Description: Phase 2: NASS CDL processing. The NASS CDL was
prepared for integration with the other land use and cover
type data. First, the NASS CDL was georectified to the
NYSDOP to ensure proper alignment of the data sources. Areas
classified as "Cloud" were merged with their neighboring
areas with which they shared the longest common border
length. To eliminate small misclassified areas, all unique
areas less than 0.27 hectares in extent, the equivalent of
three Landsat image pixels, were merged with their neighbors
with which they shared the longest common border.
Source_Used_Citation_Abbreviation: NASS CDL
Process_Date: unknown
Process_Step:
Process_Description: Phase 3: Forest/brush cover type mapping. To map the
extent of the different Forest/Brush cover types, Landsat 5
images from August 9, 2004 and October 28, 2004 were
processed and analyzed using a supervised classification.
First, the images were geometrically and radiometrically
corrected. Each image was georectified to the NYSDOT aerial
imagery to ensure proper alignment of the data layers. A
"destriping" algorithm available in the Erdas Imagine 9.0
software system (Leica-Geosystems, Norcross, GA) was used to
eliminate the presence of systematic spectral variations in
the Landsat images which can interfere with image
classification. Image "striping" is an artifact of inherit
variability in the sensors onboard the Landsat-5 satellite.
A two step supervised classification process was used to
identify areas of forest cover. First, a training set was
developed that included samples for Crops, Pasture, Brush,
Deciduous Forest, Mixed Forest, Pine Forest, and
Impervious/Cleared cover types. A maximum likelihood
classifier was used to classify the image. Due to
overrepresentation of the Mixed Forest class in areas of
Pine Forest, a second supervised classification process was
completed on a refined training set using the maximum
likelihood classifier. The resulting Pine Forest class areas
more accurately represented the extent of pine in the
watershed. The Pine Forest areas were extracted from the
second classification and overlaid on the area of Pine Mix
in the first classification process to create the final
supervised classification layer. Areas less than 0.27
hectares in extent were merged with adjacent areas with
which they shared the longest common borders.
Source_Used_Citation_Abbreviation: Landsat
Process_Date: unknown
Process_Step:
Process_Description: Phase 4: Land use and vegetative forest cover type
merging. In the final series of steps, the data layer of
small extent land uses, the modified USDA NASS CDL, and the
forest cover type data layer were merged. First, the areas
of the USDA NASS CDL classified as "Woodland" were
reclassified according to the forest cover type data layer
derived from the Landsat TM imagery. Next, the data layer of
small extent land uses was overlaid on this. For the GWLF
model, it is necessary to have corresponding soil
characteristic information for all land areas. Therefore,
areas were reclassified as Water if they were identified as
Water in the Soil_Characteristics data layer. All areas less
than 10 m2 were merged with adjacent polygons with which
they shared the longest common border. The Land Use/Cover
layer was then clipped to the boundary of the Cayuga Lake
watershed.
Process_Date: unknown
