These raster datasets are 3-meter lidar-derived images of Monroe County, West Virginia, and were created using geographic information systems (GIS) software. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which a hillshade was applied and a topographic position index (TPI) raster was calculated. These two rasters were uploaded into GlobalMapper, where the TPI raster was made partially transparent and overlaid the hillshade DEM. The resulting image was exported to create a 3-meter resolution lidar-derived image. The data is projected in North America Datum (NAD) 1983 UTM Zone 17.

Our Co-design team is from the University of Texas, working on a Department of Energy-funded project focused on the Beaumont-Port Arthur area. As part of this project, we will be developing climate-resilient design solutions for areas of the region. More on www.caee.utexas.edu. We captured aerial photos in the Port Arthur Coastal Neighborhood Community and the Golf Course on Pleasure Island, Texas, in June 2024. Aerial photos taken were through DroneDeploy autonomous flight, and models were processed through the DroneDeploy engine as well. All aerial photos are in .JPG format and contained in zipped files for each area. The processed data package includes 3D models, geospatial data, mappings, and point clouds. Please be aware that DTM, Elevation toolbox, Point cloud, and Orthomosaic use EPSG: 6588. And 3D Model uses EPSG: 3857. For using these data: - The Adobe Suite gives you great software to open .Tif files. - You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains. - Open an .OBJ file with a large number of free and commercial applications. Some examples include Microsoft 3D Builder, Apple Preview, Blender, and Autodesk. - You may use ArcGIS, Merkaartor, Blender (with the Google Earth Importer plug-in), Global Mapper, and Marble to open .KML files. - The .tfw world file is a text file used to georeference the GeoTIFF raster images, like the orthomosaic and the DSM. You need suitable software like ArcView to open a .TFW file. This dataset provides researchers with sufficient geometric data and the status quo of the land surface at the locations mentioned above. This dataset could streamline researchers' decision-making processes and enhance the design as well.

ELEVATION.contours_2021 Summary The Texas Natural Resources Information System (TNRIS) contracted Sanborn to fly LiDAR in March of 2021. TNRIS then created the contours in the Spring of 2022 using Global Mapper. Description This layer represents contour elevation lines as of the March 2021. The contours are derived from LiDAR data, collected in the March 2021. Contours were generated using Global Mapper, sample spacing used to create the contours is consistent with the Nominal Point Spacing (NPS), of the source LiDAR dataset from which it was derived. Lines were automatically smoothed while being generated by Global Mapper. Important: The LiDAR data was created using UTM zone 14N and was projected in Central Texas State Plane (NAD 83) FIPS 4203. For contour type: 1 = Minor Contour 2 = Intermediate Contour 3 = Major Contour Credits The Texas Natural Resources Information System (TNRIS) Use limitations This map has been produced by the City of Austin for the cartographic purposes. No warranty is made by the City or TNRIS regarding its accuracy or completeness.

Second version of a bathymetric map of the Baker-Martinez fjord complex (Chile, 48°S) constructed from multiple data sets: multibeam echosounder data of Baker channel (Harada et al., 2008) and of Steffen fjord and Baker river delta (Vandekerkhove et al.), single beam echosounder data of Martinez channel (R/V Sur-Austral 2015/2016) and Jorge Montt fjord (Rivera et al., 2012, Moffat, 2014 and additional data from C. Moffat) and individual bathymetry points (digitized using Global Mapper software) from two SHOA nautical charts (SHOA, 2001, 2008). The heterogeneous data with distinct spatial resolution was gridded using the kriging method (3.6 arc-second resolution) in Surfer from Golden Software. Compared to the first version (Piret et al., 2017), this new version features improved bathymetry for the Martinez Channel. We intend to update this map when new data sets become available. The data file is in the Golden Software Surfer format 7 grid format and is suitable for import in ODV’s "Section View" windows following sections 3.3 and 3.4 of the Ocean Data View manual version 5.0: https://odv.awi.de/fileadmin/user_upload/odv/misc/HowTo.pdf. Geographic (unprojected lat/lon) Coordinate System – World Geodetic System 1984 (WGS84). The previous version of this bathymetry is available at https://doi.org/10.6084/m9.figshare.5285521.v3 (figshare).

This raster dataset contains 1-meter lidar-derived imagery of 7.5 minute quadrangles in karst areas of Puerto Rico and was created using geographic information systems (GIS) software. Lidar-derived elevation data, acquired in 2018, were used to create a 1-meter resolution working digital elevation model (DEM). To create this imagery, a hillshade was applied and a topographic position index (TPI) raster was calculated. These two rasters were uploaded into GlobalMapper, where the TPI raster was made partially transparent and overlaid the hillshade DEM. The resulting image was exported to create these 1-meter resolution lidar-derived images. The data is projected in North America Datum (NAD) 1983 (2011) UTM Zone 19N.

This raster dataset contains 1-meter lidar-derived imagery of 7.5 minute quadrangles in karst areas of Puerto Rico and was created using geographic information systems (GIS) software. Lidar-derived elevation data, acquired between 2015 and 2017, were used to create a 1-meter resolution working digital elevation model (DEM). To create this imagery, a hillshade was applied and a topographic position index (TPI) raster was calculated. These two rasters were uploaded into GlobalMapper, where the TPI raster was made partially transparent and overlaid the hillshade DEM. The resulting image was exported to create these 1-meter resolution lidar-derived images. The data is projected in North America Datum (NAD) 1983 (2011) UTM Zone 19N.

The GEBCO_2020 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2020 Grid represents all data within the 2020 compilation. The compilation of the GEBCO_2020 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the gridded bathymetric data sets supplied by the Regional Centers, as sparse grids, i.e. only grid cells that contain data were populated, were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2020 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.

This raster dataset contains 3-meter digital elevation models (DEMs) of 7.5 minute quadrangles in karst areas of Puerto Rico and was created using GlobalMapper v.23 software. These DEMs were derived from 1-meter DEM tiles acquired through the USGS 3D Elevation Program (3DEP). The data are projected in North America Datum (NAD) 1983 (2011) UTM Zone 19N.

Original Data Collection: Lidar was captured over a two-day period (05/21-05/22/2024) using a Riegl VUX-1 UAV sensor at an Above Ground Level (AGL) altitude of 115 m, and with a minimum 50% sidelap. The lidar data were collected under leaf-on conditions. A 1-ft Digital Elevation Model (DEM) was created in Blue Marble GlobalMapper v23.1 using a minimum value binning (bin size = 6) grid method,...

The GEBCO_2021 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base, Version 2.2 of the SRTM15+ data set between latitudes of 50 degrees South and 60 degrees North. This data set is a fusion of land topography with measured and estimated seafloor topography. This version of SRTM15+ is similar to version 2.1 [Tozer et al., 2020] with minor updates. Version 2.2 uses predicted depths based on the V29 gravity model [Sandwell et al., 2019] and approximately 400 small areas containing suspect data were visually identified and removed from the grid. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2021 Grid represents all data within the 2021 compilation. The compilation of the GEBCO_2021 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the gridded bathymetric data sets are supplied by the Regional Centers as sparse grids, i.e. only grid cells that contain data were populated, were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The primary GEBCO_2021 grid contains land and ice surface elevation information - as provided for previous GEBCO grid releases. In addition, for the 2021 release a version with under-ice topography/bathymetry information for Greenland and Antarctica is also available. The GEBCO_2021 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.

Abstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset contains x,y,z data of the topographic surface at a 200 m resolution. It is based on the 1 second SRTM dataset. ## Purpose The dataset forms one of the critical datasets for the development of three-dimensional geological models in the Clarence-Moreton bioregion. ## Dataset History The x,y,z data were extracted from the 1 second SRTM (see Lineage) using Global Mapper software. The dataset forms one of the critical datasets for the development of three-dimensional geological models in the Clarence-Moreton bioregion. ## Dataset Citation Bioregional Assessment Programme (XXXX) Clarence-Moreton 200m grid DEM. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/cb66145b-ee39-45ee-bb46-a89da99be5fe. ## Dataset Ancestors * Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

The GEBCO_2022 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2.4 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2022 Grid represents all data within the 2022 compilation. The compilation of the GEBCO_2022 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a remove-restore blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2022 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.

Spatial Services LiDAR data for the Wollongong Botanic Gardens from 2013. LiDAR colourised (RGB encoded) with 2012 Vekta Pty Ltd (now part of the AAM Group) aerial photography - using Global Mapper …Show full descriptionSpatial Services LiDAR data for the Wollongong Botanic Gardens from 2013. LiDAR colourised (RGB encoded) with 2012 Vekta Pty Ltd (now part of the AAM Group) aerial photography - using Global Mapper Mapper Version 22.

This data release consists of a sequence of optical images extracted from a high frame rate video and used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 24, 2019, along with field measurements of flow velocity used to assess the accuracy of image-derived velocity estimates. The images were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The original video was recorded at 30 frames per second while the helicopter hovered in a fixed location approximately 600 m above the river, but the image sequence was extracted at a rate of 10 frames per second (10 Hz). The original images were not geo-referenced and had to be stabilized to account for motion of the helicopter platform during acquisition. Image stabilization was performed using the TrakEM2 plugin to the ImageJ software package. The stablized image sequence was then geo-referenced in the Global Mapper software package using tie points selected from an online satellite image accessed through Global Mapper as well as surveyed ground control targets placed in the field and visible within the images. A spatial transformation based on these tie points and control points was derived in MATLAB and then applied to the images to project them into the UTM Zone 6N, NAD83 coordinate system. The resulting geo-referenced images had a spatial resolution (pixel size) of 0.15 m and effectively stabilized the image sequence prior to PIV analysis. The images were converted to grayscale and saved as TIF files with corresponding world files (*.tfw) that contain the spatial referencing information for each image. The sequence consists of 685 individual images representing over one minute of data collection. The entire sequnce of TIF images and worldfiles is contained within a zip archive.

The GEBCO_2024 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean and Southern Ocean areas, the grid uses as a base, Version 2.6 of the SRTM15+ data set between latitudes of 50 degrees South and 60 degrees North. This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2024 Grid represents all data within the 2024 compilation. The compilation of the GEBCO_2024 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the gridded bathymetric data sets supplied by the Regional Centers, as sparse grids, i.e. only grid cells that contain data were populated, were included on to the base grid with blending with the aim of generating a continuous terrain surface. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The primary GEBCO_2024 Grid contains land and ice surface elevation. In addition, a version of the data set is made available with under-ice topography/bathymetry information for Greenland and Antarctica. The GEBCO_2024 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.

Abstract This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details. This image was scanned from an unpublished report by Parsons Brinckerhoff (2013) and commissioned by Metgasco Lmd. It shows the geology, petroleum exploration licenses and a potential coal seam gas development area west of Casino in north-eastern NSW. Parsons Brinckerhoff (2013) Preliminary numerical groundwater modelling report. Prepared for Metgasco Limited, Document No: 2193251B-WAT-PRE-001 RevA, dated 16 December 2013. ## Dataset History This image was scanned from an unpublished report by Parsons Brinckerhoff (2013) and commissioned by Metgasco Lmd. It shows the geology, petroleum exploration licenses and a potential coal seam gas development area west of Casino in north-eastern NSW. It was geo-referenced using Global Mapper software. ## Dataset Citation Parsons Brinckerhoff (2015) CLM - Metgasco WestCasino PB2013. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/b80d3d41-ff50-4220-a357-105445938e74.

Cartes de la région en teintes hypsométriques, axées sur la cote 4,5m, établie avec Global mapper.

被災された方々に、心よりお見舞い申し上げます。 / ###静岡県が公開している50cmDEMデータから作成した赤色立体地図です。【リソース】利用規約 / 無償赤色立体図データの使用許諾です。 / 災害前（XYZ） / ###災害前の赤色立体地図です。 / ####GISのXYZのURLに、上記URLを設定いただければご覧いただけます。 / 災害前（WMTS） / ###災害前の赤色立体地図です。 / ####GISのWMTSのURLに、上記URLを設定いただければご覧いただけます。 / wmtsデータの参照方法について / ###「WMTSの参照方法がわからない！」とのお問い合わせを多くいただきましたので、簡単な説明書を作成しました。 / ###以下のGISでの参照方法です。 / ####・ArcGIS Desktop Arcmap / ####・ArcGIS Pro / ####・GlobalMapper / ####・QGIS / 災害前（JPEG） / GISに搭載した際の画面キャプチャですので、位置座標はありません。【キーワード】土石流 / 熱海市 / 赤色立体地図