This web map contains the Bing Maps aerial imagery web mapping service, which offers worldwide orthographic aerial and satellite imagery. Coverage varies by region, with the most detailed coverage in the USA and United Kingdom. Coverage in different areas within a country also varies in detail based on the availability of imagery for that region. Bing Maps is continuously adding imagery in new areas and updating coverage in areas of existing coverage. This map does not include bird's eye imagery. Information regarding monthly updates of imagery coverage are available on the Bing Community blog. Post a comment to the Bing Community blog to request imagery vintage information for a specific area.Tip: The Bing Maps Aerial service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Bing Maps Aerial from the Basemap control to start browsing! You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.If you need information on how to access Bing Maps, information is available in the ArcGIS Online Content Resource Center.See Bing Maps (http://www.bing.com/maps) for more information about the Bing Maps mapping system, terms of use, and a complete list of data suppliers.

The Bing Maps aerial imagery web mapping service offers worldwide orthographic aerial and satellite imagery with roads and labels overlaid. Coverage varies by region, with the most detailed coverage in the USA and United Kingdom. Coverage in different areas within a country also varies in detail based on the availability of imagery for that region. Bing Maps is continuously adding imagery in new areas and updating coverage in areas of existing coverage. This map does not include bird's eye imagery. Monthly updates of imagery coverage are available on the Bing Community blog.See Bing Maps (http://www.bing.com/maps) for more information about the Bing Maps mapping system, terms of use, and a complete list of data suppliers.

This web map contains the Bing Maps aerial imagery with labels web mapping service, which provides worldwide orthographic aerial and satellite imagery with roads and labels overlaid. Coverage varies by region, with the most detailed coverage in the USA and United Kingdom. Coverage in different areas within a country also varies in detail based on the availability of imagery for that region. Bing Maps is continuously adding imagery in new areas and updating coverage in areas of existing coverage. This map does not include bird's eye imagery. Information regarding monthly updates of imagery coverage are available on the Bing Community blog. Post a comment to the Bing Community blog to request imagery vintage information for a specific area.Tip: The Bing Maps Hybrid service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Bing Maps Hybrid from the Basemap control to start browsing! You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.If you need information on how to access Bing Maps, information is available in the ArcGIS Online Content Resource Center.See Bing Maps (http://www.bing.com/maps) for more information about the Bing Maps mapping system, terms of use, and a complete list of data suppliers.

🇦🇹 오스트리아 English Bing Maps is a free online map service from Microsoft that allows you to view various spatial data and use spatial services. It is a further development of the MSN Virtual Earth and is part of the search engine Bing. The data and services are provided through the Bing Maps for Enterprise platform and include satellite and aerial images. In the so-called transit area (for public transport connections), stops and timetables of the Wiener Linien as well as several hundred other transport companies and networks in the world are mapped to form the largest existing transit network. In the future, the mapping of real-time connections is also planned in this context.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. The primary imagery used for the base map for the project was 2016 60 cm National Aerial Imagery Program (NAIP) imagery. Additional imagery supporting the interpretation phase included current and historic true-color Google Earth and Bing Maps imagery, as well as 2015 4-band 30 cm imagery from Cornerstone Mapping Inc., and imagery from Digital Globe, Inc.

Bing Maps is a free online map service from Microsoft that allows you to view various spatial data and use spatial services. It is a further development of the MSN Virtual Earth and is part of the search engine Bing. The data and services are provided through the Bing Maps for Enterprise platform and include satellite and aerial images. In the so-called transit area (for public transport connections), stops and timetables of the Wiener Linien as well as several hundred other transport companies and networks in the world are mapped to form the largest existing transit network. In the future, the mapping of real-time connections is also planned in this context.

GeoPackage database with 994 fluvial and anthropogenic traces mapped in the hinterland of Ravenna through historical imagery, satellite images and drone photos, together with related metadata.

Sources of aerial and satellite images analysed include:

• Istituto Geografico Militare Italiano (IGMI), Volo GAI (Gruppo Aeronautico Italiano) aerial photos are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/VIGMIGAI1954_H5/index.html (last accessed on 31 January 2025).
• Ministero dell'Ambiente e della Tutela del Territorio e del Mare (MATTM) aerial photos are available at http://www.pcn.minambiente.it/viewer/ (last accessed on 31 January 2025).
• Agenzia per le Erogazioni in Agricoltura (AGEA) aerial photos are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).
• Google Earth satellite images, accessed through Google Earth Pro for desktop, which can be downloaded from https://www.google.it/earth/versions/ (last accessed on 31 January 2025).
• Microsoft Bing satellite images are available at https://www.bing.com/maps/aerial (last accessed on 31 January 2025). Historical imagery has been accessed through a third-party website freely available at https://zoom.earth/, but this service has been discontinued (last accessed on 31 January 2025).
• Esri World Imagery satellite images are available at https://livingatlas.arcgis.com/wayback/ (last accessed on 31 January 2025).
• Consorzio Telerilevamento Agricoltura (TeA) are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).
• Compagnia Generale Riprese Aeree (CGR) are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).
• PlanetScope satellite images were made available through Planet Education and Research Program: more information is available at https://www.planet.com/industries/education-and-research/ (last accessed on 31 January 2025).

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. Base Imagery used for mapping (acquired by MoRAP): 2007, Ross County, OH, leaf off, CIR, 1 m 2010, Ross County, OH, leaf-on, true color, 1 m Additional Imagery acquired and viewed by MoRAP: Bing Maps 2010, Ross County, OH, SPOT, leaf off, CIR, 5m

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. Aerial photography was the foundation imagery for the vegetation map. The primary photo-base for this project was a National Agricultural Imagery Program (NAIP) digital ortho-photo quarter quad (DOQQ). This photo was acquired on September 12, 2004 as a digital, three-band, color-infrared dataset (with the visible green, visible red, and near-infrared wavelength portions of the spectrum partitioned into Bands 3, 2, and 1 respectively). As a part of their original processing, the photos had been orthorectified into a one-meter spatial resolution and projected into a UTM Projection, NAD83 Datum, GRS80 spheroid as a Mr. SIDs data format. For this project, the photo was imported into an ERDAS Imagine (v. 9.3) .img format. In addition, BingMaps photo database, high-resolution, natural-color imagery from 2010 was used to support final image interpretation.

Analysis of ‘Vegetation - Carrizo Plain National Monument, Ecological Reserve and Adjacent Elk Range [ds1094]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7c438c18-d580-4f24-8f42-e38a4f19cfb5 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of part of the range of the American Ranch and Chimineas Ranch tule elk herds. This section of the elk range is adjacent to the Carrizo Plain National Monument and the Chimineas Ranch Unit of the Carrizo Plain Ecological Reserve, both of which have been previously mapped. This map has been seamed to the vegetation map of the Chimineas Ranch completed by VegCAMP (VegCAMP 2010) and the map of the Carrizo Plain National Monument produced by the California Native Plant Society (Stout et al. 2013), and completes the range of these two elk herds in San Luis Obispo County, California. Like those maps, this mapping follows Survey of California Vegetation, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) standards (FGDC 2008, Jennings et al. 2009). The map legend is based on the classification in Stout et al. (2013), with slight modifications as discussed in Appendix C of the report, which is available here: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=92951. Reconnaissance-level sampling of vegetation stands in the project area was conducted in the spring of 2013. Polygons were drawn using heads-up digitizing with true color 1-foot aerial imagery from August 1, 2007 as the map base. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data from 2010''2012, Bing imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland types, which have an MMU of ½ acre. Mapping is to the NVC hierarchy Association, Alliance, or Group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Two sub-Group level mapping units were used in instances where the vegetation types could not differentiated on the imagery. The first mapping unit is composed of the Salvia leucophylla, Eriogonum fasciculatum, Artemisia californica, and Artemisia californica-Eriogonum fasciculatum Alliances; the second is composed of the Atriplex polycarpa and Atriplex canescens Alliances. Accuracy assessment (AA) data was collected in spring of 2014. Map accuracy was calculated to be 89%; corrections were made to the map based on the AA data to increase the final accuracy.

--- Original source retains full ownership of the source dataset ---

Douglas County, Kansas natural color, six inch resolution, and rectified orthoimagery. Aerial imagery reference basemap projected in WGS84 coordinate systems, with zoom levels configured for ArcGIS Online | Google Maps | Bing Maps for use in mapping applications.Digital orthophotography produced from aerial photography captured in Spring of 2022 as requested by Douglas County Kansas, Shawnee County Kansas, Jefferson County Kansas, City of Topeka Kansas, and the City of Lawrence Kansas. Collected 03-15-2022, 03-16-2022, 03-19-2022.Data meets ASPRS @ 1:100 scale, limiting RMSE within 1.0'. Surdex collected ground survey and airborne GPS data at the time of image acquisition and was used exclusively to control the product to ground coordinates.Aircraft was deployed to eastern Kansas in early March 2022 for digital image acquisition during requested time frame. Ac Cessna Conquest equipped with a Leica ADS100 (Digital Mapping Camera) captured 4 band imagery over the entire project area of interest. Imagery was captured at an altitude of 6,200' above mean terrain, allowing 0% cloud conditions. Three of the four bands (RGB natural color) of raw camera data were processed by Surdex using Leica X Pro software coupled with Surdex proprietary image handling software for color correction and dodging. Post processing of Airborne and Ground GPS data was performed with Waypoint Consulting's GrafNav software. Aerial Triangulation was completed using Leica X Pro Automatic Triangulation and rectification of imagery to the client supplied DEM was completed using Surdex proprietary software . Image mosaicking, QC and final tiled products were produced using proprietary Surdex software.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. Primary imagery used for interpretation was 4-band (RGB and CIR) orthoimages from 2014 and 2016 with resolutions of 15 centimeters (cm) (Florida only) and 30 cm. Supplemental imagery with varying coverage across the study area included National Aerial Imagery Program 50 cm imagery for Mississippi (2016) and Florida (2017), 15 and 30 cm true color Digital Earth Model imagery for Mississippi (2016 and 2017), and current and historical true-color Google Earth and Bing Map imagery. National Oceanic Atmospheric Administration National Geodetic Survey 30 cm true color imagery from 2017 (post Hurricane Nate) supported remapping the Mississippi barrier islands after Hurricane Nate.

The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of part of the range of the American Ranch and Chimineas Ranch tule elk herds. This section of the elk range is adjacent to the Carrizo Plain National Monument and the Chimineas Ranch Unit of the Carrizo Plain Ecological Reserve, both of which have been previously mapped. This map has been seamed to the vegetation map of the Chimineas Ranch completed by VegCAMP (VegCAMP 2010) and the map of the Carrizo Plain National Monument produced by the California Native Plant Society (Stout et al. 2013), and completes the range of these two elk herds in San Luis Obispo County, California. Like those maps, this mapping follows Survey of California Vegetation, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) standards (FGDC 2008, Jennings et al. 2009). The map legend is based on the classification in Stout et al. (2013), with slight modifications as discussed in Appendix C of the report, which is available here: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=92951. Reconnaissance-level sampling of vegetation stands in the project area was conducted in the spring of 2013. Polygons were drawn using heads-up digitizing with true color 1-foot aerial imagery from August 1, 2007 as the map base. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data from 2010''2012, Bing imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland types, which have an MMU of ½ acre. Mapping is to the NVC hierarchy Association, Alliance, or Group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Two sub-Group level mapping units were used in instances where the vegetation types could not differentiated on the imagery. The first mapping unit is composed of the Salvia leucophylla, Eriogonum fasciculatum, Artemisia californica, and Artemisia californica-Eriogonum fasciculatum Alliances; the second is composed of the Atriplex polycarpa and Atriplex canescens Alliances. Accuracy assessment (AA) data was collected in spring of 2014. Map accuracy was calculated to be 89 percent; corrections were made to the map based on the AA data to increase the final accuracy.

The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of part of the range of the American Ranch and Chimineas Ranch tule elk herds. This section of the elk range is adjacent to the Carrizo Plain National Monument and the Chimineas Ranch Unit of the Carrizo Plain Ecological Reserve, both of which have been previously mapped. This map has been seamed to the vegetation map of the Chimineas Ranch completed by VegCAMP (VegCAMP 2010) and the map of the Carrizo Plain National Monument produced by the California Native Plant Society (Stout et al. 2013), and completes the range of these two elk herds in San Luis Obispo County, California. Like those maps, this mapping follows Survey of California Vegetation, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) standards (FGDC 2008, Jennings et al. 2009). The map legend is based on the classification in Stout et al. (2013), with slight modifications as discussed in Appendix C of the report, which is available here: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=92951. Reconnaissance-level sampling of vegetation stands in the project area was conducted in the spring of 2013. Polygons were drawn using heads-up digitizing with true color 1-foot aerial imagery from August 1, 2007 as the map base. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data from 2010''2012, Bing imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland types, which have an MMU of ½ acre. Mapping is to the NVC hierarchy Association, Alliance, or Group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Two sub-Group level mapping units were used in instances where the vegetation types could not differentiated on the imagery. The first mapping unit is composed of the Salvia leucophylla, Eriogonum fasciculatum, Artemisia californica, and Artemisia californica-Eriogonum fasciculatum Alliances; the second is composed of the Atriplex polycarpa and Atriplex canescens Alliances. Accuracy assessment (AA) data was collected in spring of 2014. Map accuracy was calculated to be 89 percent; corrections were made to the map based on the AA data to increase the final accuracy.

The California Department of Fish and Wildlife (Department) Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation classification and map of the southern addition to the Departments Knoxville Wildlife Area (WA), Napa County, California following State Vegetation Survey, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) Standards (Grossman et al 1998). The vegetation classification was derived from data collected in the field following the Combined Rapid Assessment and Relevé Protocol during the periods November 18''20, 2013 and April 28''May 1, 2014. Vegetation polygons were drawn using heads-up manual digitizing using the 2011 Napa County 30-cm resolution color infrared (CIR) imagery as the base imagery. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and CIR 1-meter resolution data from 2009''2012, BING imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland types, which have an MMU of 1/2 acre. Ponds, riparian types, and the one vernal pool on the WA that were visible on the imagery were mapped regardless of size, and streams were generally mapped if greater than 10 m wide (narrower portions may have been mapped to maintain the continuity of the streams). Mapping is to the NVC hierarchy association, alliance, or group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Both the existing (northern) and new addition (southern) portions of the Knoxville WA were mapped in 2002 as part of the Napa County vegetation map (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=14660). The 2002 map is at a coarse thematic resolution (alliance through macrogroup level) and vegetation in portions of the WA has changed since the 2004 Rumsey Fire, necessitating this map update. We have produced an updated version of the KWA portion of the 2002 map layer that uses the same spatial data, but added a crosswalk to the current classification and the upper levels of the current hierarchy. This map layer is included in the downloaded dataset for this map and an expanded metadata report for that crosswalk can be found at https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=164825.

Contains 277 aerial images (extracted from Bing Maps) and their corresponding aerial segmentation (binary and colored). Segmentation is built automatically from segmentation data downloaded from OpenStreeMaps.

Data was downloaded from 4 cities in the US, 4 in Europe, 1 in Latin America, and 8 rural areas in the US, totalling 277 pairs of images (251 urban, 26 rural), each 1280x1280 pixels.

In total, there are 13 classes (building, water, natural, highway, park, dirt road, tree, beach, parking, construction, industrial, footway and grass).

The 2018 edition of the Land Use keeps the classification unchanged and all the classes of the level have been updated. Updated polygons show the date of the modification. The natural color aerial images of 2016 and infrared of 2016, provided by AGEA and the high resolution images Google Earth and Bing Maps 2018 were analysed. Territorial coverage - Entire regional territory.

Analysis of ‘Vegetation - Knoxville Wildlife Areas [ds2812]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9e92cb82-860f-48fd-bdb6-1db9ed5fd60b on 27 January 2022.

--- Dataset description provided by original source is as follows ---

The California Department of Fish and Wildlife (Department) Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation classification and map of the southern addition to the Departments Knoxville Wildlife Area (WA), Napa County, California following State Vegetation Survey, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) Standards (Grossman et al 1998). The vegetation classification was derived from data collected in the field following the Combined Rapid Assessment and Relevé Protocol during the periods November 18''20, 2013 and April 28''May 1, 2014. Vegetation polygons were drawn using heads-up manual digitizing using the 2011 Napa County 30-cm resolution color infrared (CIR) imagery as the base imagery. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and CIR 1-meter resolution data from 2009''2012, BING imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland types, which have an MMU of 1/2 acre. Ponds, riparian types, and the one vernal pool on the WA that were visible on the imagery were mapped regardless of size, and streams were generally mapped if greater than 10 m wide (narrower portions may have been mapped to maintain the continuity of the streams). Mapping is to the NVC hierarchy association, alliance, or group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Both the existing (northern) and new addition (southern) portions of the Knoxville WA were mapped in 2002 as part of the Napa County vegetation map (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=14660). The 2002 map is at a coarse thematic resolution (alliance through macrogroup level) and vegetation in portions of the WA has changed since the 2004 Rumsey Fire, necessitating this map update. We have produced an updated version of the KWA portion of the 2002 map layer that uses the same spatial data, but added a crosswalk to the current classification and the upper levels of the current hierarchy. This map layer is included in the downloaded dataset for this map and an expanded metadata report for that crosswalk can be found at https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=164825.

--- Original source retains full ownership of the source dataset ---

The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of the Department’s mitigation lands in the northern portion of the Carrizo Plain, San Luis Obispo County, California. The mapping follows Survey of California Vegetation, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) standards (FGDC 2008, Jennings et al. 2009). The map legend is based on the classification in Stout et al. (2013), with slight modifications as discussed in Appendix C of the project report, which is available here: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=92969. Reconnaissance-level sampling of vegetation stands in the project area was conducted in the spring of 2013. Polygons were drawn using heads-up digitizing using the July 2011 1-foot imagery acquired for San Luis Obispo County and downloaded from US Geological Survey (USGS) EarthExplorer as the map base. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data from 2010–2012, Bing imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is ½ acre in order to capture small, remnant native stands of trees, shrubs, and bunch grasses. Mapping is to the NVC hierarchy Association, Alliance, or Group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Field verification data was collected in the spring of 2014 and corrections were made to the map based on that data to increase the final accuracy.

The MSDI (Manchester Surface Drone Imagery) is a geo-imagery registration dataset. The dataset consists of a. 446 downward-facing drone images. b. 89 forward-facing(45-degree) drone images. c. 64 forward-facing (0-degree) drone images. d. parameter matrix of drone camera and transformation matrix. e. checkerboard images for camera calibration.

This dataset is collected by Mochuan Zhan for his MSC project: Registration of UAV Imagery to Aerial and Satellite Imagery in the University of Manchester (2021/9 - 2022/9) which is supervised by Dr.Terence Patrick Morley. This project aims at developing a system that could perform efficient UAV visual localization through image registration based on local feature detectors and the technique of high-throughput computing.

Notice: The corresponding satellite image from Google Map and Bing Map could be obtained by my program, Link:

https://doi.org/10.5281/zenodo.6977652

A Ground Control Point (GCP) selector is provided for user to select GCP and create file with small effort. By registrating corresponding images, users could evaluate the performance of their registration techniques.

The Imagery contains images of 8 Areas in Manchester: - Manchester Aquatics Center 80 - Manchester ASDA 76 - Manchester Bussiness School 37 - Manchester Energy Center 71 - Manchester Holy Name Church 58 - Manchester Hulme Park 47 - Manchester Hulme Part(0-degree) 64 - Manchester Hulme Part(45-degree) 89 - Manchester Metropolitan university 29 - Manchester Museum 48

Device Information: - Drone brand: Parrot - Drone model: Parrot Anafi

Software Information: - Pix4DCapture - FreeFlight6

Flight parameters: - Height 100m - Speed 5m/s - overlap low