Worldview-3 Satellite Imagery Download __EXCLUSIVE_

The WorldView-3 satellite sensor was licensed by the National Oceanic and Atmospheric Administration (NOAA) to collect in addition to the standard panchromatic and multispectral bands, eight-band short-wave infrared (SWIR) and 12 CAVIS imagery. The WorldView-3 satellite was successfully launched on August 13, 2014.

WorldView-3 is the first multi-payload, super-spectral, high-resolution commercial satellite sensor operating at an altitude of 617 km. WorldView-3 satellite provides 30cm panchromatic resolution, 1.24 m multispectral resolution, 3.7 m short wave infrared resolution (SWIR), and 30 m CAVIS resolution. The satellite has an average revisit time of

Worldview-3 Satellite Imagery Download

Download File 🔥 https://byltly.com/2y7PEW 🔥

WorldView-3 satellite bears a strong resemblance to WorldView-2 launched on October 8, 2009, in terms of its performance characteristics. The WorldView-3 satellite sensor benefits from significant improvements including cost savings, risk reduction, and faster delivery for its customers.

WorldView-3 (WV 3) is a commercial Earth observation satellite owned by DigitalGlobe. It was launched on 13 August 2014 to become DigitalGlobe's sixth satellite in orbit, joining Ikonos which was launched in 1999, QuickBird in 2001, WorldView-1 in 2007, GeoEye-1 in 2008, and WorldView-2 in 2009. WorldView-3 provides commercially available panchromatic imagery of 0.31 m (12 in) resolution, eight-band multispectral imagery with 1.24 m (4 ft 1 in) resolution, shortwave infrared imagery at 3.7 m (12 ft 2 in) resolution, and CAVIS (Clouds, Aerosols, Vapors, Ice, and Snow) data at 30 m (98 ft) resolution.[4]

From 2020, Scientists are using WorldView-3 to count and detect wildlife species, including African elephants. They used satellite imagery that required no ground presence to monitor the elephants. The team created a training dataset of 1,000 elephants and fed it to the Convolutional Neural Network (CNN) and compared the results to human performance.[6]

If your project demands the highest resolution imagery available and/or requires spectral analysis, then WorldView-3 should be your first choice. And with an archive that grows by nearly 680,000 square kilometers (sq km) per day, we are sure to have the imagery you need!

We believe that this demonstrates the power of modern technology to serve conservation purposes: satellite remote sensing and deep learning technologies offer the promise of a safer life to these majestic mammals. Conservation technologies open a new world of possibilities, to be embraced with the urgency necessitated by the sixth mass extinction and the global plight of biodiversity.

For effective management of multiple scenes you should use a mosaic dataset. There are a lot of good resources at , specifically -mosaic-datasets-to-manage-imagery.htm and -high-resolution-satellite-imagery.htm

We present a direct and proxy-based approach to qualitatively and semi-quantitatively observe floating plastic litter in the Great Pacific Garbage Patch (GPGP) based on a survey in 2018 using very high geo-spatial resolution 8-waveband WorldView-3 imagery. A proxy for the plastics was defined as a waveband difference for anomalies in the top-of-the-atmosphere spectra. The anomalies were computed by subtracting spatially varying reflectance of the surrounding ocean water as background from the top-of-the-atmosphere reflectance. Spectral shapes and magnitude were also evaluated using a reference target of known plastics, The Ocean Cleanup System 001 Wilson. Presence of 'suspected plastics' was confirmed by the similarity in derived anomalies and spectral shapes with respect to the known plastics in the image as well as direct observations in the true color composites. The proposed proxy-based approach is a step towards future mapping techniques of suspected floating plastics with potential operational monitoring applications from the Sentinel-2 that recently started regular imaging over the GPGP that will be supported or validated by numerical solutions and net trawling survey.

Coffer, M., P. Whitman, B. Schaeffer, V. Hill, R. Zimmerman, W. Salls, M. Lebrasse, AND D. Graybill. Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems. INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, 43(4):1199-1225, (2022).

Healthy aquatic ecosystems are vital for protecting humans and the environment. High spatial resolution is required for monitoring smaller aquatic systems as well as for monitoring the land/shore interface. Commonly used high spatial resolution satellite sensors include WorldView-2 and WorldView-3. However, an investigation into their image quality regarding vertical artifacts has yet to be conducted. This study characterizes vertical artifacts in WorldView-3 imagery, identifies their cause, and proposes a solution for future tasking of both WorldView-2 and WorldView-3. Using the updated image acquition parameters described in this study, this high spatial resolution imagery can be used for monitoring aquatic environments.

Crop residues serve many important functions in agricultural conservation including preserving soil moisture, building soil organic carbon, and preventing erosion. Percent crop residue cover on a field surface reflects the outcome of tillage intensity and crop management practices. Previous studies using proximal hyperspectral remote sensing have demonstrated accurate measurement of percent residue cover using residue indices that characterize cellulose and lignin absorption features found between 2100 nm and 2300 nm in the shortwave infrared (SWIR) region of the electromagnetic spectrum. The 2014 launch of the WorldView-3 (WV3) satellite has now provided a space-borne platform for the collection of narrow band SWIR reflectance imagery capable of measuring these cellulose and lignin absorption features. In this study, WorldView-3 SWIR imagery (14 May 2015) was acquired over farmland on the Eastern Shore of Chesapeake Bay (Maryland, USA), was converted to surface reflectance, and eight different SWIR reflectance indices were calculated. On-farm photographic sampling was used to measure percent residue cover at a total of 174 locations in 10 agricultural fields, ranging from plow-till to continuous no-till management, and these in situ measurements were used to develop percent residue cover prediction models from the SWIR indices using both polynomial and linear least squares regressions. Analysis was limited to agricultural fields with minimal green vegetation (Normalized Difference Vegetation Index < 0.3) due to expected interference of vegetation with the SWIR indices. In the resulting residue prediction models, spectrally narrow residue indices including the Shortwave Infrared Normalized Difference Residue Index (SINDRI) and the Lignin Cellulose Absorption Index (LCA) were determined to be more accurate than spectrally broad Landsat-compatible indices such as the Normalized Difference Tillage Index (NDTI), as determined by respective R2 values of 0.94, 0.92, and 0.84 and respective residual mean squared errors (RMSE) of 7.15, 8.40, and 12.00. Additionally, SINDRI and LCA were more resistant to interference from low levels of green vegetation. The model with the highest correlation (2nd order polynomial SINDRI, R2 = 0.94) was used to convert the SWIR imagery into a map of crop residue cover for non-vegetated agricultural fields throughout the imagery extent, describing the distribution of tillage intensity within the farm landscape. WorldView-3 satellite imagery provides spectrally narrow SWIR reflectance measurements that show utility for a robust mapping of crop residue cover.

Coffer, M. M., Whitman, P. J., Schaeffer, B. A., Hill, V., Zimmerman, R. C., Salls, W. B., Lebrasse, M. C., & Graybill, D. D. (2022). Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems. International Journal of Remote Sensing, 43(4), 1199-1225.

Launched in 2014, WorldView-3 is a multi-payload, super-spectral commercial satellite capable of collecting up to 680,000 square kilometres of imagery a day. Part of the WorldView Series, the satellite is operated by the US company Maxar.

For more details, download the WorldView-3 datasheet. Visit the Maxar website for an overview of the WorldView Series.

Among spacecraft superlatives, WorldView-3 will have an average revisit time to any desired imaging location of less than 1 day and is capable of collecting up to 680,000 sq km per day. WorldView-3 will send a blistering 1.2 gigabytes of data back to Earth every second. Operating at an altitude of over 380 miles (617 kilometers), WorldView-3 will collect imagery as small as 1-foot (31 centimeters) across in resolution.

DigitalGlobe (Longmont, Colo.) recently received permission from the U.S. Department of Commerce to sell even higher resolution satellite imagery. Once fully operational, WorldView-3 will provide the commercial market images with significantly greater clarity and spectral depth than anything previously available. And as the sharpest-eyed commercial Earth-watching satellite ever built, WorldView-3 is on a mission to observe our planet in stunning detail.

Last June, the U.S. Department of Commerce relaxed satellite resolution restrictions, green-lighting permission for DigitalGlobe to collect and sell imagery at the best available commercial resolutions. Earlier limits curbed anything smaller than 50 centimeters from being shown on commercially-snapped satellite photos provided to non-U.S. government customers.

WorldView-3 is the fourth Ball-built satellite in the DigitalGlobe constellation. As with previous DigitalGlobe satellites, Ball was also responsible for development, integration and testing of the WorldView-3 satellite.

Furthermore, Dierks said, by using advanced Control Moment Gyroscopes (CMGs) on the spacecraft, WorldView-3 can be reoriented over a desired collection area in 4-5 seconds, compared to 30-45 seconds needed for traditional reaction wheels used on satellites. 006ab0faaa