five

Imagery-Satellite-SPOT 2019

收藏
Research Data Australia2025-12-20 收录
下载链接:
https://researchdata.edu.au/imagery-satellite-spot-2019/3852307
下载链接
链接失效反馈
官方服务:
资源简介:
The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by DCS Spatial for NSW Government. The images were captured June 2019 through to August 2019. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through Geospatial Intelligence Pty Ltd who partnered with GeoImages Pty Ltd and Airbus Defence and Space. \r\n\r\nSPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health.\r\n\r\nData products supplied for all of NSW are:\r\n\r\n1. State-wide mosaic \r\n\r\n2. 100k Mapsheet tiles\r\n\r\n\r\nThe statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file with a world file (553gb in size). Individual 100k mapsheet mosaics contain BGR+NIR band combination; unenhanced 16-bit GeoTIFF format tile with an ESRI word file.\r\n\r\nThe NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.\r\n\r\nThe 4band 100k mapsheet tiles are available for download from JDAP.\r\n\r\nAcknowledgement when referencing: includes material © CNES___ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved\r\n\r\nContact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP. \r\n\r\n__These image products are only available to other NSW Government agencies upon request.__\r\n\r\n
提供机构:
data.nsw.gov.au
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作