This raster dataset corresponds to the year 1947, with data obtained from the USGS Earth Explorer, an online collection of aerial photography. This image is a mosaic of the following photo frames: 1EJA000010017, 1EJA000010019, 1EJA000010024, 1EJA000010025, 1EJA000010027, 1EJA000010066, 1EJA000010067, 1EJA000010102, 1EJA000010103, 1EJA000010106, 1EJA000020081, 1EJA000020082,Some images were clipped to fit into the Roseville City limit.

Access the Data:

Access the REST Service from https://ags.roseville.ca.us/arcgis/rest/services/PublicServices/. View the data in our Historical Imagery Collection.Add data to ArcMap or ArcPro by clicking on “View Metadata” and selecting “Open in ArcGIS Desktop”.

These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Colorado River in Canyonlands National Park between Potash, Utah and the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah. The time period for these data are 1940 to 2018. The shapefile data are measurements of features of the active river channel and floodplains of the Colorado River. The raster data are aerial images and digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent floodplains for most of the corridor of the Colorado River in Canyonlands National Park upstream from the confluence with the Green River. The images were acquired from public sources and orthorectified and mosaiced for this study. The DEMs cover the river channel and adjacent floodplain for the Lockhart Creek segment of the Colorado River within Canyonlands National Park and include both bathymetric and topographic data. The bathymetric data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center with funding provided by the National Park Service. The topographic data are airborne lidar data that were collected for the state of Utah by a contractor. The lidar data are available at https://doi.org/10.5069/G9RV0KSQ.

Open Data link to the rest service page for Aerial Imagery 2016. See original details page for further information (http://chesva.maps.arcgis.com/home/item.html?id=c7970130c6c047a5baccf6fb7ef49c3a).

Open Data link to the rest service page for Aerial Imagery 2018. See original details page for further information (http://chesva.maps.arcgis.com/home/item.html?id=d334a5c9c7b349beb22b531dcdf2d957).

Open Data link to the rest service page for Aerial Imagery 2014. See original details page for further information (http://chesva.maps.arcgis.com/home/item.html?id=1d27abfb3cea4ddbb53031a99e24ed2b).

2021 Orthophoto - 3 inch resolution: This document describes the processes used to create the orthoimagery data produced for the District of Columbia from 2021 digital aerial photography. It was flown on March 11, 2021. The aerial imagery acquisition was flown to support the creation of 4-band digital orthophotography with a 3 inch/0.08 meter pixel resolution over the full project area covering the District of Columbia which is approximately 69 square miles. The contractor received waivers to fly in the Flight Restricted Zone (FRZ) and P-56 areas. The ortho imagery was submitted to DC OCTO in GeoTiff/TFW format tiles following the tile scheme provided by OCTO. MrSID and JPEG2000 compressed mosaics were delivered as well using a 50:1 compression ratio. This dataset provided as an ArcGIS Image service. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The compressed MrSID and JPEG2000 mosaic raster datasets are available under additional options when viewing downloads. Requests for the individual GeoTIFF set of images should be sent to open.data@dc.gov.

Open Data link to the rest service page for Aerial Imagery 2020. See original details page for further information (https://chesva.maps.arcgis.com/home/item.html?id=f6df1b57e90f4b12b90bb41f82176844)

Aerial image data at 0.15 m, 0.24 m, 0.37 m and 0.48 m resolution, depending on where in the country it is and when the image was photographed. Available as RGB and IR, as well as as 4-channels from 2019. The product is delivered in raster form.

Metadata information

Full Title

Data Fusion from Airborne Hyperspectral Data, Airborne LiDAR Data and Aerial photographs at Aramo, Spain

Fusion of different airborne remote sensed and already processed data gathered from color aerial photography, LiDAR and hyperspectral data acquisition over the Aramo site in Spain.

Abstract

This dataset comprises results from the S34I Project, derived from processing of airborne hyperspectral data, airborne LiDAR data and color aerial imagery acquired at the Aramo pilot site in Spain. This document describes processing of color imagery, production of color orthophoto, processing of LiDAR data, and fusion of these data with processed and classified thematic hyperspectral data.

Eurosense conducted complex airborne data acquisition in two consecutive days 30.09.2023 and 01.10.2023 using Riegl LM7800-9184 LiDAR sensor and IGI Digicam H4D-50 medium format RGB camera. 1,645 high resolution RGB images were collected over 24 flight lines. Eurosense produced LiDAR point cloud and color orthophoto mosaic.LiDAR data processing:

Description of the software’s used

AeroOffice and GrafNav – software used for direct georeferencing of mobile and aerial mapping sensors using GNSS and inertial technology.

SDCimport applies the so-called ONLINE Full Waveform Analysis to the digitized echo signals provided by the laser scanner and additionally transforms the geometry data (i.e., range and scan angle) into Cartesian coordinates. The output is a point cloud in the well-defined Scanner's Own Coordinate System (SOCS) with additional descriptors for every point, e.g., a precise time stamp, the echo signal intensity, the echo pulse width, a classification according to first, second, up to last target.

RiWorld transforms the scan data into the coordinate system of the position and orientation data set, usually ETRS89 of WGS84 geocentric. It thus provides the acquired laser data of the object's surfaces within a geocentric coordinate system for further processing. In that case the final coordinate system was WGS84 UTM30N – GRS80.

TerraMatch fixes systematic orientation errors in airborne laser data. It measures the differences between laser surfaces from overlapping flight lines or differences between laser surfaces and known points. These observed differences are translated into correction values for the system orientation - easting, northing, elevation, heading, roll and/or pitch.

TerraScan is the main application in the Terrasolid Software family for managing and processing all types of point clouds. It offers import and project structuring tools for handling the massive number of points of a laser scanning campaign as well as the corresponding trajectory information. Various classification routines enable the automatic filtering of the point cloud.

Geometric corrections

Its content mainly concerns the geometry of the point cloud and quality control.

Initial setting

At the start of treatment, data was calculated by applying the sensor alignment settings corresponding to the last scanner calibration (boresight angles).

Roll: -0.22300

Pitch: -0.04320

Yaw: 0.00170

Determination of connecting lines

The first operation is the extraction of the tie lines used for the adjustment. They are determined by automatic analysis of the data of the different bands, classified as ground (2) and building (6).

They are extracted after the expedited automatic classification described in the previous paragraph.

Absolute control of altimetry

Absolute control of the altimetry is carried out using field measurements of the reference and control fields.

Elevation reference fields

A set of 6 altimetric reference fields were measured in the field by a surveyor.

Result of the absolute adjustment.

Average dz -0.001

Minimum dz: -0.091

Maximum dz: 0.089

Average magnitude: 0.026

Root mean square: 0.034

Std deviation: 0.034

Classification

The delivered classification contains class “Ground” (2), “Vegetation” (4), “Building” (6), “Water” (9) and class 1 “Unclassified”, based on the ASPRS standard.

Evaluation of LiDAR processing results

Absolute height

Both the connection fields and the independent control fields fit within the height tolerances. Global average difference on control fields it is less than -0.001 cm.

Point density and data coverage.

The covered area meets the point density requirement of 10 pts/sqrm.

All checks show that the data meets the accuracy specifications of an accurate LiDAR project.

Orthoprocessing:Triangulation is needed for precise positioning of aerial photographs. The full camera calibration performed because the practice shows that it is necessary for medium format cameras. The control points were collected from point cloud on such objects which were well recognizable in point cloud and also on aerial photographs. For the full area 43 control points are defined and measured in both datasets. The control points coordinate mean residuals are the following in the result of aerial triangulation adjustment: rmsx =0.18 m; rmsy =0.17 m; rmsz =0.26 m.Because of double flights (opposite directions on same flight lines) gave the possibility to produce dsm based ortho-mosaic in 25cm ground resolution.

Data fusion of different sensors data (Postprocessing)The generated raster data are delivered as georeferenced TIFF files. These raster data are covering 116 km² from LiDAR data and 114.6 km² from aerial photographs with a spatial resolution of 1.2 m per pixel. The no-data value is set to -9999, representing areas which are outside of photo and LiDAR coverage. The projected coordinate system is UTM Zone 30 Northern Hemisphere WGS 1984, EPSG 4326.

Generated LiDAR raster data and aerial ortho-mosaic image down-sampled to hyperspectral band ratio mosaics resolution (which has the following pixel size x: ~1.2m y: ~1.09m).Generated raster from point cloud are the following: Intensity, Digital Terrain Model, Digital Surface Model.Intensity band had been interpolated with average method while DTM (from class 2) and DSM (from class 2,4,6,9) with IDW methods. RGB true color composite ortho-mosaic resampled to 1.2m. The ortho-mosaic R, G, B bands are separated to 3 single bands and reformatted to float pixel type and no-data value set to -9999

All bands of three sensors, merged into one composite image with following bands and with the following short names:BRn Band1 – 9 Band ratio of hyperspectral data according to former document (https://zenodo.org/uploads/14193286) BR1 - BR9

LDint Band10 LiDAR intensity raster

LDdtm Band11 DTM layer generated from LiDAR data class 2

LDdsm Band12 DSM layer generated from LiDAR data class 2,4,6,9

OmosR, OmosG, OmosB Band13,14,15 are R G B channels of true color ortho-mosaic of aerial images

Keywords

Earth Observation, Remote Sensing, Hyperspectral Imaging, Automated Processing, Hyperspectral Data Processing, Mineral Exploration, Critical Raw Materials

Pilot area

Aramo

Language

English

URL Zenodo

https://zenodo.org/uploads/xxxxxxxxx

Temporal reference

Acquisition date (dd.mm.yyyy)

30.09.2023; 01.10.2023

Upload date (dd.mm.yyyy)

04.02.2025

Quality and validity

Format

GeoTiff

Spatial resolution

1.2m

Positional accuracy

0.5m

Coordinate system

EPGS 4326

Access and use constrains

Use limitation

None

Access constraint

None

Public/Private

Public

Responsible organisation

Responsible Party

EUROSENSE - Esri Belux

Responsible Contact

Victoria Jadot

Metadata on metadata

Contact

victoria.jadot@eurosense.com

Metadata language

English

This dataset was captured during the field investigation of the Qinghai-Tibet Plateau in June 2021 using uav aerial photography. The data volume is 3.4 GB and includes more than 330 aerial photographs. The shooting locations mainly include roads, residential areas and their surrounding areas in Lhasa Nyingchi of Tibet, Dali and Nujiang of Yunnan province, Ganzi, Aba and Liangshan of Sichuan Province. These aerial photographs mainly reflect local land use/cover type, the distribution of facility agriculture land, vegetation coverage. Aerial photographs have spatial location information such as longitude, latitude and altitude, which can not only provide basic verification information for land use classification, but also provide reference for remote sensing image inversion of large-scale regional vegetation coverage by calculating vegetation coverage.

This child item contains Uncrewed Aircraft System (UAS) imagery from three data collection campaigns (flights) over the Pepperwood Preserve in Sonoma County, California. Each child item contains: 1) Orthophoto, 2) Thermal, 3) Normalized Difference Vegetation Index (NDVI), 4) L-band microwave brightness temperature (Tb), 5) Estimated soil moisture, and 6) Digital elevation model from orthoimagery. The overall footprint varies depending on the type of sensor. This flight was done using a multirotor electric UAS called the E2. This flight contains an additional higher resolution L-band microwave brightness temperature and soil moisture map that covers a smaller footprint. All files are zipped raster (*.tif) files that can be visualized and edited by geospatial software including ArcGIS, QGIS, Python, and R. The spatial resolution of each raster is dependent on the instrument and the UAS altitude during data collection. The UAS equipment was operated by personnel from BlackSwift Tec ...

The existing raster dataset corresponds to the year 1952, with data obtained from the UCSB Frame Finder Aerials, an online library collection database of aerial photography. The existing raster dataset contains two different flights, ABM-1952 and PAI-ABC, flown by Southwestern Aerial Surveys and Pacific Air Industries respectively, in order to provide a more comprehensive coverage of the city of Roseville. Some areas display apparent constrasts, such as plowed field vs. unplowed field, due to the fact that each flight was taken in different months in 1952. Both flights are displayed at a scale of 1:20:000The following photo frames were used to create the raster dataset: pai-abc_y8-144, pai-abc_y8-146, pai-abc_y8-140, pai-abc_y8-139, pai-abc_y8-141, pai-abc_y8-143, pai-abc_3k-28, pai-abc_3k-106, abm-1952_1k-68, amb-1952_1k-65, abm-1952_1k-28, abm-1952_1k-12, abm-1952_1k-67, abm-1952_1k-82, abm-1952_1k-80, abm-1952_1k-81, abm-1952_9k-84, abm-1952_9k-81.

Access the Data:

Access the REST Service from https://ags.roseville.ca.us/arcgis/rest/services/PublicServices/. View the data in our Historical Imagery Collection.Add data to ArcMap or ArcPro by clicking on “View Metadata” and selecting “Open in ArcGIS Desktop”.

This raster dataset was developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using This raster dataset was developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Imagery was acquired on October 14, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 1 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's intertidal region and kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster dataset contains a habitat classification of either offshore giant kelp beds and/or the intertidal zone along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Scorpion SMR. This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset. The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.

The Southeast Texas Urban Integrated field lab’s Co-design team 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 autonomous flight, and models were processed through the DroneDeploy engine. 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 will support researchers' decision-making processes under uncertainties.

Vertical aerial photography is an airborne mapping technique, which uses a high-resolution camera mounted vertically underneath the aircraft to capture reflected light in the red, green, blue and for some datasets, near infra-red spectrum. Images of the ground are captured at resolutions between 10cm and 50cm, and ortho-rectified using simultaneous LIDAR and GPS to a high spatial accuracy. The Environment Agency has been capturing vertical aerial photography data regularly since 2006 on a project by project basis each ranging in coverage from a few square kilometers to hundreds of square kilometers. The data is available as a raster dataset in ECW (enhanced compressed wavelet) format as either a true colour (RGB), near infra-red (NIR) or a 4-band (RGBN) raster. Where imagery has been captured under incident response conditions and the lighting conditions may be sub-optimal this is defined by the prefix IR. The data are presented as tiles in British National Grid OSGB 1936 projections. Data is available in 5km download zip files for each year of survey. Within each zip file are ECW files aligned to the Ordinance Survey grid. The size of each tile is dependent upon the spatial resolution of the data. Please refer to the metadata index catalgoues for the survey date captured, type of survey and spatial resolution of the imagery. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

The zip file contains a large tiff mosaic stitched together from a series of aerial photographs of the Calhoun CZO area taken in 1933, when the area was being acquired by the US Forest Service. USFS archaeologist Mike Harmon delivered the black-and-white photographs, known to him as the 'Sumter National Forest Purchase Aerials', to us in a box. The photographs include most of the Enoree District of the Sumter National Forest, including the entirety of the Calhoun CZO, not just the long-term plots and small watersheds. The photographs were scanned and georectified, then color-balanced and stitched together following 'seams' - high-contrast features such as rivers and roads ('seamlined'). In addition to the main tiff are four files that can be used to properly geolocate the composite image in ArcGIS.

The multilayer pdf file includes a smaller version of the seamlined 1933 aerial photography mosaic raster layer, as well as this aerial mosaic transparent over slope map (for a 3D-like 1933 image raster). Other layers include contours, roads, boundaries, sampling locations, 1.5 m DEM, 1.5m slope, 1m 2013 NAIP aerial imagery, and 2014 canopy height. The pdf file includes both 'interfluve order' and 'landshed order.' These two layers mean the same thing, but the landshed is the area unit around the interfluve that is used for statistics; this dataset has been QC'ed. The Interfluve Order network was used to delineate the landsheds and agrees with it >95% of the time, but has a few inaccuracies (it was automated by the computer) that were fixed manually. Use the network for viewing and considering the landscape at large, but for the specific interfluve order, check the color of the 'Landshed Order' dataset to verify its accuracy.

Date Range Comments: The exact date these photos were taken is unknown, but the year is thought to be 1933.The flight date is prior to the USFS land purchases for the Enoree District of the Sumter National Forest; the photos are thus known as the "pre-purchase photos").

CORINE Land Cover (CLC) is a geographic land cover/land use database encompassing most of the countries of Europe. In 1985 the Corine programme was initiated in the European Union. Corine means 'coordination of information on the environment' and it was a prototype project working on many different environmental issues. The Corine databases and several of its programme have been taken over by the EEA. One of these is an inventory of land cover in 44 classes organised hierarchically in three levels, and presented as a cartographic product, at a scale of 1:100 000. The first level (5 classes) corresponds to the main categories of the land cover/land use (artificial areas, agricultural land, forests and semi-natural areas, wetlands, water surfaces). The second level (15 classes) covers physical and physiognomic entities at a higher level of detail (urban zones, forests, lakes, etc), finally level 3 is composed of 44 classes. CLC was elaborated based on the visual interpretation of satellite images (SPOT, LANDSAT TM and MSS). Ancillary data (aerial photographs, topographic or vegetation maps, statistics, local knowledge) were used to refine interpretation and the assignment of the territory into the categories of the CORINE Land Cover nomenclature.The smallest surfaces mapped (minimum mapping units) correspond to 25 hectares. Linear features less than 100 m in width are not considered. The scale of the output product was fixed at 1:100.000. Thus, the location precision of the CLC database is 100 m.CLC2012 is the 4th CORINE Land Cover inventory and took 3 years to finalize.

A dual coverage of satellite images were used. The number of countries using advanced (bottom-up) solutions has slightly increased.

All of the EEA39 countries have participated.CLC2018 is now available here.

Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.The purpose of G-LiHT’s Aerial Orthomosaic data product (GLORTHO) is to provide orthorectified high-resolution aerial photography. This data is provided as a supplement to other G-LiHT data products.GLORTHO data are processed as a raster data product (GeoTIFF) at 1 inch spatial resolution over locally defined areas. A low resolution browse is also provided with a color map applied in PNG format. Known Issues* Orthomosaics are automatically generated, and results may not be optimal.

Index Fire Mapping for National Forests, NM / AZ - Pacheco Fire

2013 Orthophoto - 3 inch resolution imagery service. Data produced for the District of Columbia from 2013 digital aerial photography. Further details included in download XML file. This dataset provided as an ArcGIS Image service. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The compressed MrSID mosaic raster dataset is available under additional options when viewing downloads. Requests for the individual GeoTIFF set of images should be sent to open.data@dc.gov.