Skip to main content
Advanced Search

Filters: Tags: Oahu (X)

268 results (20ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...
thumbnail
This shapefile is the official boundary of the Hawaii Fish Habitat Partnership. The shapefile was developed in 2013 to reflect the boundary as defined by the Hawaii Fish Habitat Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
thumbnail
A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. This shapefile contains the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu. The shapefile attribute information includes the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the...
thumbnail
The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014). This data release contains (1) a folder with the PeakFQ output files for each streamgage, ".PRT" and ".EXP" files, for use in...
thumbnail
"The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International between May 13th, 2010 to May 28th 2011. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. NOTE: As stipulated prior to production of ortho-imagery, source frames from an existing imagery collection were to be utilized. As such, the imagery may contain long shadows, haziness, and cloud shadows. Pictometry has corrected for this where possible and has made every effort to bring the final dataset into...


map background search result map search result map Official Recognized Boundary of Hawaii Fish Habitat Partnership, 2013 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ000550_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ000640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ015640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ015655_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ015685_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ090625_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ105580_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ105640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ135610_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ150640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ180565_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ180625_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ195520_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ195595_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ210520_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ210610_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ240580_201005_0x1500m_CL_1 Generalized least-squares WREG regression files for Hawaiʻi flood-frequency analysis, based on data through water year 2020 Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ000550_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ000640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ015640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ015655_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ015685_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ105580_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ090625_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ105640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ135610_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ195520_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ180565_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ210520_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ150640_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ195595_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ180625_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ210610_201005_0x1500m_CL_1 USGS High Resolution Orthoimagery for Honolulu, Hawaii: 04QFJ240580_201005_0x1500m_CL_1 Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii Official Recognized Boundary of Hawaii Fish Habitat Partnership, 2013 Generalized least-squares WREG regression files for Hawaiʻi flood-frequency analysis, based on data through water year 2020