State of Hawaii, Office of Planning 20071130 1 remote sensing image Charleston, SC NOAA's Ocean Service, Coastal Services Center (CSC) http://www.csc.noaa.gov/digitalcoast/ This data set identifies impervious surfaces on the island of Kauai. Impervious surfaces have been extracted using semi-automated methods from high resoltion imagery. To create a baseline inventory of impervious surfaces which can be utilized by state and local resource managers to assess the impacts precipitation events on water quality and flooding. Unknown publication date Complete None planned -159.796344 -159.211720 22.244534 21.792282 CoRIS Theme Thesaurus EARTH SCIENCE > Biosphere > Aquatic Habitat > Coastal Habitat EARTH SCIENCE > Biosphere > Zoology > Corals > Reef Monitoring and Assessment > Mapping EARTH SCIENCE > Biosphere > Zoology > Corals > Reef Monitoring and Assessment > Remote Sensing CoRIS Discovery Thesaurus Geographic Information > Habitats ISO 19115 Topic Category imageryBaseMapsEarthCover 010 None Remotely Sensed Imagery/Photography Impervious Surface None Hawaii Hawaiian Islands Central Pacific CoRIS Place Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Hawaii > Kauai Island (22N159W0001) OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Kauai Island > Kauai Island (22N159W0001) CoRIS Region MHI None Although every effort has been made to ensure the accuracy of information, errors and conditions originating from physical sources used to develop the State of Hawaii GIS database may be reflected in the data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions specific to certain data. The GIS data or cartographic digital files are not a legal representation of any of the features which they depict. No warranty expressed or implied is made by State of Hawaii GIS program regarding the accuracy or utility of this information. State of Hawaii, Office of Planning Joan Delos Santos Systems Analyst, GIS Program mailing address

P.O. Box 2359

Honolulu Hawaii 96804 USA 808 587 2895 808 587 2899 jdelos_santos@dbedt.hawaii.gov 7:45 am to 4:30 pm HST, M-F Sanborn 455 E. Eisenhower Parkway, Suite 270 Ann Arbor, Michigan 48108 Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350 Treating the map as a binary or single class scheme, impervious/pervious, allows for a simpler sampling technique than a traditional thematic land cover assessment. For this product, Sanborn developed an efficient procedure to assess accuracy of the impervious classification. The desired accuracy is at least 85% for the impervious/pervious map of Kauai. The approach described here tested the map for an accuracy of 90% for a MMU of 0.06 acre. Since Sanborn was working with a two-case situation they only needed to know whether the classification was right or wrong, a binomial distribution was used to calculate the sample size. Using that assumption, Sanborn used Ginevan (1979) who illustrated a sampling method using stratified random points that satisfies three criteria: 1. The scheme should have a low probability of accepting a map of low accuracy. 2. It should have a high probability of accepting a map of high accuracy. 3. It should require a minimum number of ground truth samples. Using the look-up table given in the paper that presents the required sample size for a given minimum error and a desired level of confidence, Sanborn determined the specific number of points that are required to meet the accuracy specification. To validate a map to determine if it meets a thematic accuracy of 90%, with a 95% confidence level (a 95% confidence interval means the chance of 1 in 20 of rejecting a map that is actually correct), the minimum number of sites required was 298; with the map being rejected if more than 21 are misclassified. In order to compensate for the rarity of impervious surfaces over a large portion of the Kauai landscape, the approach was to create 3 strata layers in order to limit the selection process to areas of likely impervious, and produce a map that accurately assesses the usefulness of the map to the user. Strata 1: Impervious Features This strata layer is based on the actual classification of impervious features. Strata 2: Distance buffer from impervious map The presence of impervious surfaces are correlated with other impervious features, and are likely to occur near other impervious features. A distance map based on a buffer of 250 m will be used to sample from. Strata 3: Remaining un-sampled area. Each of the strata was sampled to build an assessment database that exceeds the required minimum of 298 assessment points. The goal for the division of accuracy assessment points was an approximate 50:50 (impervious:pervious) stratification. The break down is as follows. Table 1: Sampling breakdown based on strata layer. Strata Layer Percentage of Total Samples Target Number of Samples Impervious Classification 30 >149 Distance From Impervious feature Mask 25 >75 Remaining Un-sampled Area 25 >74 Areas of impervious or where impervious surfaces are expected were biased in the sampling structure. Once the samples are collected, labeling and quality control procedures were completed on the samples to create a final accuracy database. The result was a simplified confusion matrix where only two classes are categorized. An overall accuracy statement can be made by summing the correct accuracy locations and deriving a percentage relative to the total number of accuracy points. References Congalton, R.G., Kass Green 1999. Assessing the accuracy of remotely sensed data: principles and practices. CRC/Lewis Press, Boca Raton, FL. (In Press) Congalton, R. G. and R. D. Macleod. 1998. A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data. Photogrammetric Engineering and Remote Sensing. Vol. 64, No. 3, March 1998, pp. 207-216. Ginevan, M.E. 1979. Testing land-use map accuracy: another look. Photogrammetric Engineering and Remote Sensing, 45(10): 1371-1377. 98.9% P I Grand Total P 180 1 181 I 6 483 489 Grand Total 186 484 670 Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent. Data set is complete. Accuracy dependant on source data Not applicable Sanborn. www.sanborn.com. 20070515 remote-sensing image Honolulu, HI State of Hawaii, Office of Planning http://www.hawaii.gov/dbedt/gis/download.htm ArcInfo coverage file unknown publication date COAST Original source coverage from which data layer was clipped to Kauai. This dataset was created by the Sanborn Mapping Company. The impervious surface classification is based on high resolution multispectral imagery. The study area for the project was the island of Kauai, U.S. Hawaiian Island Chain. Automated Classification: The first step in the classification methodology involved incorporating automated techniques. Sanborn analysts utilized the Feature Analyst software extension to extract impervious surfaces from the igh resolution multispectral imagery. This was performed by providing the software with photo-interpreted polygon examples which "train" the software's learning mechanism to recognize impervious surface features for extraction from the imagery. The software then provides the user with an automated output which can be accepted by the analyst or retrained for an improved result. This automated output captures a large percentage of the existing impervious surface features within the imagery but does not meet the required accuracy. Classes 0 - Pervious 1 - Impervious 20071130 State of Hawaii, Office of Planning Joan Delos Santos Systems Analyst, GIS Program mailing address

P.O. Box 2359

Honolulu HI 96804 USA 808 587 2895 808 587 2899 jdelos_santos@dbedt.hawaii.gov 7:45 am to 4:30 pm HST, M-F Raster Pixel 20776 25073 1 Universal Transverse Mercator 4 0.999600 -159.000000 0.000000 500000.000000 0.000000 Row and Column 2.400000 2.400000 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257224 Layer_1 Island of Kauai delineated by igh resolution multispectral imagery. unknown Value 0 or 1 indicates whether pixel is impervious or not. State of Hawaii, Impervious Mapping Project. 0 Pervious Features which allow infiltration from precipitation. State of Hawaii, Impervious Mapping Project. 1 Impervious Anthropogenic features such as buildings, parking lots and roads developed from asphalt, concrete or other constructed surfaces which do not allow infiltration from precipitation. State of Hawaii, Impervious Mapping Project. NOAA Coastal Services Center Clearinghouse Manager Clearinghouse Manager mailing and physical address

2234 South Hobson Avenue

Charleston SC 29405-2413 USA (843)740-1210 (843)740-1224 clearinghouse@noaa.gov Monday-Friday, 8-5 EST Downloadable Data Users must assume responsibility to determine the usability of these data. ERDAS Imagine image file (.img) ESRI Run-length encoding 30 http://www.csc.noaa.gov/digitalcoast/data/coastal-change-analysis-program-high-resolution-land-cover/download CD-ROM ISO 9660 ISO 9660 format allows the CD-ROM to be read by most computer operating systems. none unknown 20121220 20100216 State of Hawaii, Office of Planning Joan Delos Santos Systems Analyst, GIS Program mailing address

P.O. Box 2359

Honolulu Hawaii 96804 USA 808 587 2895 808 587 2899 jdelos_santos@dbedt.hawaii.gov 7:45 am to 4:30 pm HST, M-F FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 Local Time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile 20100216080611 None 00010101 99991231 http://www.coris.noaa.gov/metadata/records/html/ccap_2005_era_kauai_impervious_surf.html 4470