EODIE-Earth Observation Data Information Extractor

被引:2
|
作者
Wittke, Samantha [1 ,2 ]
Fouilloux, Anne [3 ]
Lehti, Petteri [2 ,4 ]
Varho, Juuso [2 ,4 ]
Kivimaki, Arttu [2 ]
Karhu, Maiju [2 ]
Karjalainen, Mika [2 ]
Vaaja, Matti [1 ]
Puttonen, Eetu [2 ]
机构
[1] Aalto Univ, Dept Built Environm, Espoo, Finland
[2] Natl Land Survey Finland, Finnish Geospatial Res Inst, Dept Remote Sensing & Photogrammetry, Helsinki, Finland
[3] Univ Oslo, Dept Geosci, Oslo, Norway
[4] Aalto Univ, Dept Appl Phys, Espoo, Finland
基金
芬兰科学院;
关键词
Remote sensing; Big data processing; Earth observation; Open-source software; DIFFERENCE WATER INDEX; VEGETATION INDEX; WORLDVIEW-2; IMAGERY; PHENOLOGY; FOREST; NDWI; LEAF; DERIVATION; PROGRAM; RED;
D O I
10.1016/j.softx.2023.101421
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Remote sensing satellites provide a vast amount of data to monitor and observe Earth's surface and events on it. To use these data efficiently in subsequent analysis and decision-making, highly automated easy-to-use tools are needed. Here, we present Earth Observation Data Information Extractor (EODIE). EODIE is a toolkit to extract object-level time-series information from several multispectral satellite remote sensing platforms and to produce analysis-ready products for subsequent data analysis. EODIE has a modular design that makes it adjustable for end-user requirements. Users have a possibility to exchange and add modules in EODIE for flexible processing in different computing environments. With EODIE, remote sensing data can be processed to object level array, geotiff or statistics information of different (vegetation) indices or plain wavelength intervals. & COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:9
相关论文
共 50 条
  • [1] The Earth Observation Data for Habitat Monitoring (EODHaM) system
    Lucas, Richard
    Blonda, Palma
    Bunting, Peter
    Jones, Gwawr
    Inglada, Jordi
    Arias, Marcela
    Kosmidou, Vasiliki
    Petrou, Zisis I.
    Manakos, Ioannis
    Adamo, Maria
    Charnock, Rebecca -
    Tarantino, Cristina
    Mucher, Caspar A.
    Jongman, Rob H. G.
    Kramer, Henk
    Arvor, Damien
    Honrado, Joao Pradinho
    Mairota, Paola
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2015, 37 : 17 - 28
  • [2] Principles of Geographic Information Systems used for Earth observation data
    Cances, M
    Font, F
    Gay, M
    SURVEYS IN GEOPHYSICS, 2000, 21 (2-3) : 187 - 199
  • [3] Principles Of Geographic Information Systems Used For Earth Observation Data
    M. Cances
    F. Font
    M. Gay
    Surveys in Geophysics, 2000, 21 : 187 - 199
  • [4] Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
    Salcedo-Sanz, S.
    Ghamisi, P.
    Piles, M.
    Werner, M.
    Cuadra, L.
    Moreno-Martinez, A.
    Izquierdo-Verdiguier, E.
    Munoz-Mari, J.
    Mosavi, Amirhosein
    Camps-Valls, G.
    INFORMATION FUSION, 2020, 63 : 256 - 272
  • [5] Earth observation data for seabirds and their habitats: An introduction
    Goddijn-Murphy, Lonneke
    O'Hanlon, Nina J.
    James, Neil A.
    Masden, Elizabeth A.
    Bond, Alexander L.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 24
  • [6] The influence of temporal resolution on crop yield estimation with Earth Observation data assimilation
    Sisheber, Biniam
    Marshall, Michael
    Mengistu, Daniel
    Nelson, Andrew
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2024, 36
  • [7] Data Augmentation in Earth Observation: A Diffusion Model Approach
    Sousa, Tiago
    Ries, Benoit
    Guelfi, Nicolas
    INFORMATION, 2025, 16 (02)
  • [8] Achieving the Full Vision of Earth Observation Data Cubes
    Kopp, Steve
    Becker, Peter
    Doshi, Abhijit
    Wright, Dawn J.
    Zhang, Kaixi
    Xu, Hong
    DATA, 2019, 4 (03)
  • [9] Enabling the Use of Earth Observation Data for Integrated Water Resource Management in Africa with the Water Observation and Information System
    Guzinski, Radoslaw
    Kass, Steve
    Huber, Silvia
    Bauer-Gottwein, Peter
    Jensen, Iris Hedegaard
    Naeimi, Vahid
    Doubkova, Marcela
    Walli, Andreas
    Tottrup, Christian
    REMOTE SENSING, 2014, 6 (08): : 7819 - 7839
  • [10] Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data
    Ivits, Eva
    Cherlet, Michael
    Horion, Stephanie
    Fensholt, Rasmus
    REMOTE SENSING, 2013, 5 (07) : 3305 - 3330