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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
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TwitterThis map is part of a climate adaptation planning toolkit intended for use by Ulster County municipalities and other entities. The toolkit supports completion of local climate vulnerability assessments in alignment with the NYS Climate Smart Communities Program Climate Vulnerability Assessment action (available at https://climatesmart.ny.gov/actions-certification/actions/#open/action/85). The map includes climate hazards, social vulnerability indicators, and county and community asset layers, and will assist municipalities is assessing the vulnerability of their residents, infrastructure, and other community assets in relation to identified climate hazards. This project has been funded in part by the Climate Smart Communities Grant Program, Title 15 of the Environmental Protection Fund through the New York State Department of Environmental Conservation.
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TwitterA web service of the Address Point file of buildings and properties in New York State. Address points are scale triggered and will turn on at 1:50,000 and labels are scale triggered and will turn on at 1:3,000. See metadata for additional information. Additional metadata, including field descriptions, can be found at the NYS GIS Clearinghouse: http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=921. SAM Address Points Data Dictionary: http://gis.ny.gov/gisdata/supportfiles/Address-Points-Data-Dictionary.pdfIf the purpose of accessing the address points service is for geocoding, NYS ITS has a publicly available geocoding service which includes the address points along with other layers. For more information about the geocoding service, please visit: http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1278.For more information about the SAM Program, please visit:http://gis.ny.gov/streets. Publication Date: See Update FrequencyCurrent as of Date: 2 business days prior to Publication DateUpdate frequency: Second and forth Fridays of each monthThis map service is available to the public. The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.
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TwitterCombination of multiple years of orthoimagery encompassing years 2016 - 2020. The service provides a Natural Color view at approximately 12 inch resolution. The source orthoimagery is 4-band at resolutions of 12 or 6 inches. For more information see http://gis.ny.gov/gateway/mg/index.html
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
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This dataset is a combination of 2 data projects: 1- Data were updated within NYC watershed portions using 1m resolution LiDAR and 1ft orthoimagery collected in 2009 as part of the NYS Digital Ortho Program under contract with NYCDEP under CAT-371.For NYC reservoirs only: NYCDEP BWS GIS Staff (T. Spies) edited all polygons representing NYC reservoirs to show the true inundation area of water impoundment when the reservoir is full, including all areas separated from the main pool by a road or bridge. Therefore, any streams or rivers wider than 5m and represented in this NHDArea feature class were also edited as needed to match any edges where they transitioned from a NYC reservoir polygon. All edges and vertices were snapped to eliminate any gaps or slivers between reservoirs/lakes/ponds (NHDWaterbody) and stream/rivers (NHDArea).QA edits to NHD hydrography, including this feature class, were also made where needed based on field verification and correction of the NYCbasin1m boundary.As an additional departure from standard NHD to meet DEP’s needs, DEP GIS staff attributed all flowlines by their respective NYC reservoir basin and NYC water supply “region” as defined in the feature class “NYCbasin1m”. This was done using the “select by location” tool rather than “identity” tool, so as not to split any flowlines across boundaries. Any flowlines crossing basin boundaries in error were corrected by splitting the lines and snapping their endpoints to the appropriate spillway or basin edge instead. 2- Data was updated within portions of Ulster County outside the NYC watershed using NYS 1ft orthoimagery collected in 2013 and multiple Elevation datasets (2013 NYS DEC 1m Lidar Hudson River, 2005 NYS DEC 3m Lidar Ulster Stream Corridors, 1992 USGS 10m Digital Elevation Model (DEM)).Primary quality control was performed visually using enhanced symbology and supporting reference data. A detailed QC checklist is provided in the QC report. Specific emphasis was placed on the areas bordering the NYC Watershed and the areas encompassed by the Town of Woodstock’s local hydrography data. To the extent connections occurred, the data captured on this project was “snapped” to the corresponding locations in the NYC Watershed so that the data could be seamlessly integrated. The hydrography data from the Town of Woodstock, however, was inconsistent when applied to the data capture protocol. Many locally derived features did not appear to be supported by the source data (i.e., they did not exist) and were not included. All visual inspections were made at 1:1000 scale or better. During data capture, the Data Capture Analyst used a separate point feature class named “Flags” to identify locations where there may have been some interpretation or confusion. Later, the QC Analyst also used additional bookmarks in ArcGIS to track locations where additional investigation or interpretation was required. Finally, after an initial pass through the data, the QC Analyst evaluated and resolved all such flags and bookmarks, collaborating with the Data Capture Analyst as necessary to discuss findings and resolve questions.As data was completed, naming convention and separate storage locations were used for data management to ensure that source and modified datasets were clearly separated. In addition, a detailed QC tracking spreadsheet was used to track and manage effort on completing QC and resolving any issues.Finally, after the initial data delivery, several rounds of QC review were performed by Ulster County to include: additional visual inspection of flow line connectivity, geometric network tracking, and utility network analysisMost of the issues that were not readily apparent in the manual QC process were attributed to minor errors in data capture and discovered here. Examples include digitizing lines in the wrong direction (not downstream), existence of multi-part features, and topology errors. In all cases, issues were evaluated and resolved
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TwitterA vector line file of public/private streets compiled from orthoimagery and other sources that is attributed with street names, addresses, route numbers, routing attributes, and includes a related table of alternate/alias street names. Additional metadata, including field descriptions, can be found at the NYS GIS Clearinghouse: http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=932. Streets Data Dictionary: http://gis.ny.gov/gisdata/supportfiles/Streets-Data-Dictionary.pdfIf the purpose of using NYS Streets is for geocoding, the New York State Office of Information Technology Services (NYS ITS) has a publicly available geocoding service which includes the NYS Streets along with other layers. For more information about the geocoding service, please visit http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1278.For more information about the SAM Program, please visit:http://gis.ny.gov/streets. Publication Date: See Update FrequencyCurrent as of Date: 2 business days prior to Publication DateUpdate frequency: Second and forth Fridays of each monthThis map service is available to the public. The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.
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TwitterOriginal Dataset Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3694 individual 1500 m x 1500 m tiles; used to create intensity rasters, 3D breaklines and hydro-flattened DEMs as necessary.
Original Dataset Geographic Extent: Dutchess, Orange, Rockland, and Ulster Counties counties, New York, covering approximately 3212 square miles.
Original Dataset Descr...
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.