Development of Automatic Landsat Data Download Engine

K A Pradono and Y D Safitri and B S Adhitama and Y F Hestrio and M Soleh and H Gunawan and N Widijatmiko and W Sunarmodo (2020) Development of Automatic Landsat Data Download Engine. In: 3rd Tarumanagara International Conference of the Applications of Technology and Engineering (TICATE) 2020, 3-4 August 2020, Jakarta.

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Remote sensing data usually collected by direct acquisition using ground station. But, limitations on acquisition often leads to missing data (especially the old data). United States
Geological Survey (USGS), as one of scientific agency and Landsat remote sensing satellite operator, provides access for users to their old to recent remote sensing data. USGS also provides tools to help user to download their data in large or small quantities, but the tools have limitations. The most noticeable limitations are error when downloading and low download speed. At the same time, access and download data in large quantities without tools would takes a lot of time and effort. Hence, an engine to overcome those limitations needs to be developed. By using this engine, users are expected to be able download remote sensing data in large/small
quantities automatically, with higher download speed, and less error or corrupt data

Item Type: Conference or Workshop Item (Paper)
Additional Information: IOP Conference Series: Materials Science and Engineering, Volume 1007
Uncontrolled Keywords: Landsat data, Free Download Manager
Subjects: Taksonomi LAPAN > Teknologi Penginderaan Jauh > Penyimpanan dan Pendistribusian Data
Taksonomi LAPAN > Teknologi Penginderaan Jauh > Kerjasama Operasional > Bidang Teknologi dan Data Penginderaan Jauh
Divisions: LAPAN > Deputi Penginderaan Jauh > Pusat Teknologi dan Data Penginderaan Jauh
Depositing User: Administrator Repository
Date Deposited: 28 Apr 2021 06:38
Last Modified: 19 Jul 2022 07:08

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