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description=Learn how cloud-based managed file transfer can improve the speed and reliability of geospatial data transfer from the field to other stakeholders.;

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Text of the page (random words):
geospatial data how to accelerate and improve data transfer masv solutions back by use case intelligent mft ingest to storage send large files upload files explore solutions by industry post production live broadcast news journalism artificial intelligence geospatial marketing teams creative agencies see all industries by workflow post production live sports automation field to newsroom ai data ingest geospatial data transfer marketing file sharing user generated content see all workflows save time budget the real roi of masv discover the real world cost savings our clients achieve every day read report product back features api automations desktop app file portals growing files metadata multiconnect see all features integrations amazon s3 on prem synology qnap microsoft google dropbox see all integrations reliability security speed architecture centralized governance featured growing files deliver live broadcasts flawlessly with growing files support explore growing files resources back customer stories professional sports geospatial drone mapping ai machine learning datasets agritech aerial telemetry enterprise events marketing global news journalism remote global operations explore all customer stories learn file transfer roi report intelligent mft report ugc report file transfer buyer s guide idc innovator designation movielabs 2030 vision blog explore all reports support help centre trust centre download desktop app developer docs partner ecosystem proof of concept book a demo contact us courtside to cloud miami heat delivers media instantly discover how the nba team bypass slow internet to upload giant video files in real time read the case study enterprise pricing log in contact sales get started masv workflows geospatial data transfer how to accelerate and improve geospatial data transfer jim donnelly february 6 2025 9 min read i am the text that will be copied key takeaways massive spatial datasets cause severe network bottlenecks high resolution lidar scans orthomosaics and 3d point clouds overwhelm standard networks and exceed the strict file size limits and bandwidth caps of traditional cloud tools connectivity in the field is a challenge network bonding aggregates multiple internet links like satellite 5g and wi fi to provide reliable transfers and automatic resume features for drone operators and gis professionals uploading directly from remote sites automating ingestion into gis data pipelines is crucial direct integrations with cloud and on premises storage allow field uploads to route straight into processing tools eliminating data silos and removing manual file handling steps for mapping teams geospatial geomatic and geographic information systems gis data are having a moment from precision mapping and surveying to monitoring troop movements in ukraine or tracking thousands of submarine cables the world now depends on geospatial data to a degree most people don t realize but geospatial and similar companies have a data volume problem slow geospatial data processing and movement between systems can profoundly hinder time to value escalating data volumes are largely driven by the increased availability of satellites connected devices and remote sensing technologies geospatial companies professionals and their clients often contend with lengthy data processing times thanks to the vast amount of data and limitations of on prem infrastructure cloud based managed file transfer can provide more dynamic and effective ways of orchestrating massive data volumes and multiple data formats across stakeholders and geographies here s how what is geospatial data geospatial data includes data about any item event or object relative to where it exists on the earth s surface often used interchangeably with geographic information system gis data geospatial data refers to any data type in this realm while gis refers only to data that works within gis software unlike other data types geospatial data always refers to a physical location or multiple locations somewhere in the world geospatial data is always location based but can include other information such as time stamps which provide greater context and allow for more dynamic analysis some of the most popular use cases for geospatial data include site selection urban planning mapping surveying network planning risk assessment environmental monitoring and infrastructure development why is there so much geospatial data there s been an explosion in the volume of geospatial data partly thanks to advancements in ai mobile scanning and earth observation i e satellites according to the cb insights tech trends 2025 report cheaper access to space thanks in part to commercial space companies like spacex has jumpstarted several startups focused on advanced propulsion and satellite technology the cost to reach earth s orbit has fallen by 8x since 2008 with spacex s falcon heavy able to bring a kg worth of payload into space for nearly 90 less cost 12 600 vs 1 500 than the company s earlier falcon 1 rocket this proliferation of better cheaper technology in space has improved communications monitoring capabilities and risk management helping startups expand geospatial use cases for national defense and industrial mapping purposes the number of space launches has increased 5x in the past five years with 1 935 objects launched in 2023 data source cb insights tech trends report 2025 this crescendo of activity has led massive amounts of capital to flow into startups focused on satellites and space infrastructure according to cb insights geospatial gis data file formats there s a wide array of file formats comprising geospatial and gis data with the most popular being pixel based raster and mathematical equation based vector files some of the most popular geospatial file formats that also work with gis software include data type file format examples vector esri shapefile shp dbf shx geographic javascript object notation geojson geography markup language gml google keyhole markup language kml kmz gps exchange format gpx mapinfo tab tab dat id map ind digital line graph dlg geographic base file dual independent mask encoding gbf dime idrisi vector vct vdc raster erdas imagine img american standard code for information interchange ascii grid asc geotiff tif tiff ovr idrisi raster rst rdc envi raw raster bil bip bsq geographic database esri file geodatabase gdb esri personal geodatabase mdb ogc geopackage gpkg mapbox mbtiles mbtiles lidar asprs lidar data exchange format las lasd laz point cloud xyz xyz cad autodesk drawing dwf dwg dxf bentley microsystems dgn file format dgn other geospatial data formats include elevation web multitemporal gis software project cartographic 3d interchange indoor mapping and other miscellaneous file formats geospatial data pain points companies who work with geospatial data must often send large datasets from the field or from satellite ground stations and receivers when conducting surveys or mapping topographies with drones or satellites for example to other stakeholders or storage most geospatial projects need to link multiple data sources and types together to achieve the most effective analysis because geospatial datasets usually consist of thousands of files that means sending large file packages often involving multiple file types of hundreds of gigabytes gbs every day often multiple times per day these ever increasing data volumes have led most organizations in the geospatial space sorry couldn t resist to move to cloud based storage such as amazon s3 which offers faster processing times than many on prem deployments with far less expensive scale up costs but actually getting all that geospatial data into s3 other storage platforms gis platforms or to other stakeholders to run analysis remains a productivity killing bottleneck for many companies this very often slows down data processing data transfer and data ingestion times especially when transferring data physically or using out of date technology such as the file transfer protocol ftp it also means that gis and other companies who work with geospatial data are often forced to choose between ingesting large amounts of data keeping turnaround times within reason and keeping infrastructure costs under control adding to these data pressures is the need for data integration to improve insights and measurement effectiveness companies in this space often integrate and link multiple datasets while a more effective data analysis technique these dataset integrations inevitably lead to larger and more unwieldy datasets that are harder to transfer between stakeholders and to storage leading to slower time to value how cloud based file transfer alleviates geospatial data transfer pain cloud based file transfer can help geospatial and similar companies move mountains of data into storage or to other stakeholders faster and more reliably even in areas with little to no connectivity compared to other options this complements geospatial and similar use cases around lidar mapping remote capture of images and video and ai processing easy to use browser based transfer tools like masv can send and receive file packages of unlimited size an accelerated file transfer network optimized for high speed fiber optic internet including 10gpbs pipes that takes advantage of every bit of speed available without being a network bully file transfer resilience that can recover automatically from internet connection failures without starting over via checkpoint restart channel bonding tools available via the masv desktop app that let you combine internet connections such as a satellite link and 5g hub allow for fast reliable transfer even when using hotel wifi or in other areas with spotty connectivity such as remote islands read more maximize file transfer speeds with channel bonding simple user interfaces and no complex installations mean these tools don t require training or tutorials for those in the field nor a heavy it lift to get up and running out of the box enterprise grade security in flight and at rest encryption and compliance tools soc2 iso27001 and tpn gold mean geospatial teams can share data without worrying about data breaches which are more common among self hosted transfer platforms api and developer tools empower developers to integrate cloud based transfer with geodatabases and other essential applications geomatics professionals can simplify their transfer workflows by using cloud file transfer as a centralized uploader to storage so admins don t need to grant direct access to storage to dozens or hundreds of stakeholders automated file transfer tools mean receiving and manually adding files to storage quickly becomes a thing of the past organizations can use watch folders at the satellite downlink to transfer data immediately to constituents or storage for processing and other uses note masv supports over 25 storage destinations including amazon s3 and various storage classes such as s3 glacier for cloud archive along with connected on prem san and nas storage masv the perfect tool for geospatial data transfer workflows masv is a secure cloud based file transfer service that already works with several geospatial and similar companies to accelerate and improve geospatial data transfer workflows masv connects to virtually any geospatial data source allowing it to transfer massive datasets efficiently and eliminate file size restrictions common in traditional file transfer methods like ftp or aspera this faciliates effortless movement of content across various cloud and multicloud on prem and hybrid systems customers can also scale their data transfer needs according to project requirements with flexible cost effective and tailored pricing options from pay as you go to enterprise custom pricing sign up for masv today and get transfer credits every month to test your geospatial data transfer workflows about the author jim donnelly is masv s head of editorial he writes extensively about new technology data driven workflows and how file transfer can be a force multiplier for post production broadcast ai ingest and other data hungry industries he s got 20 plus years of professional experience creating editing and managing journalism content and communications projects view profile table of contents table of contents your files delivered move large files fast securely and without headaches get started related workflows sports media workflow discover how combining masv portals with lucidlink can automate live sports workflows speed up game day uploads and get footage to editors instantly conner stirling september 8 2026 10 min read hybrid cloud for media workflows breaking down how a hybrid cloud strategy makes media workflows more nimble and efficient through remote collaboration data security and more jonny elwyn september 3 2024 12 min read storage backup learn about the different storage options available for filmmakers and video professionals in this guide to backup and video storage workflows jim donnelly march 28 2023 7 min read trusted by global teams file transfer that just works move files of any size securely reliably and with less friction thank you your submission has been received oops something went wrong while submitting the form form code here use html embed get started sign up developer docs contact sales book a demo download desktop app build a proof of concept features speed reliability security automation file upload portals metadata storage ingest api all features use cases by industry by integration by workflow by solution intelligent mft resources blog whitepapers customer stories masv architecture compliance product comparison company about masv help centre careers news events press partners legal system status masv hey ai learn about us