GES DAAC tools for accessing and visualizing MODIS data

被引:0
|
作者
Leptoukh, G [1 ]
Ahmad, S [1 ]
Eaton, P [1 ]
Hegde, M [1 ]
Kempler, S [1 ]
Koziana, J [1 ]
Ostrenga, D [1 ]
Ouzounov, D [1 ]
Savtchenko, A [1 ]
Serafino, G [1 ]
Sharma, AK [1 ]
Zhou, B [1 ]
机构
[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The NASA Goddard Earth Sciences Distributed Active Archive Center (GES DAAC) has the unique position of an intermediary between users and MODIS data. To help users accessing and manipulating MODIS data, various tools were developed the MODIS Data Support Team (MDST). Some of these tools are described below: WHOM. The Web based Hierarchical Ordering Mechanism (WHOM) for Terra data is a customized version of the larger DAAC web-based data gateway. WHOM offers enhanced graphic interfaces to identify temporal and spatial data coverage while searching and ordering MODIS data archived at the GES DAAC. An alternative "No Frills" page provide a quick access (by passing navigation) directly to WHOM pages for products users want to order. Browse images allow science data users to evaluate the data before ordering. MODIS Level 113 browse images are produced from the 1 km Calibrated Radiances product using channels 1, 4, 3 as true color during the day, and channel 32 as false color during the night. Subsampled at 5-km resolution products are generated at the GES DAAC so users can download smaller files. Subsetting Tools. Calibrated radiance (Level 1B) channel subsetting is being developed as an extension to the EOS Core System (ECS). The front end, a graphic user interface, is part of WHOM. The new Simple Scalable Script-Based Science Processor (S4P) that interacts with ECS drives the back end for data retrieval, archiving and distribution of the subsetted data. Visualization Tools. The MDST has developed two very simple IDL-based tools to map MODIS swath products. The first, geoview, has a simple, graphic interface, while the second, simap, is a command line utility. Modis_atmos was designed to work with atmospheric products. HDFLook for MODIS is a result of joint collaboration between the GES DAAC and the University of Lille, France. An RDF-EOS version of a popular MSPHINX program was developed to work with all MODIS and many other HDF-EOS data. Its main features include: geo-mapping, geo-projection conversion, interactive and batch mode processing, subsetting and subsampling, stitching of several granules, multi-granule processing, and conversion into GIS-compatible formats.
引用
收藏
页码:3202 / 3204
页数:3
相关论文
共 50 条
  • [21] ECR Browser: a tool for visualizing and accessing data from comparisons of multiple vertebrate genomes
    Ovcharenko, I
    Nobrega, MA
    Loots, GG
    Stubbs, L
    NUCLEIC ACIDS RESEARCH, 2004, 32 : W280 - W286
  • [22] GIS and data interoperability at the NASA Goddard DAAC
    Teng, W
    Pollack, N
    Serafino, G
    Chiu, L
    Sweatman, P
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 1953 - 1955
  • [23] ForestForward: visualizing and accessing integrated world forest data from the last 50 years
    Tejada-Gutierrez, E. L.
    Fornes, J. Mateo
    Solsona, F.
    Alves, R.
    DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2025, 2025
  • [24] Representing, storing and accessing molecular interaction data:: a review of models and tools
    Stromback, Lena
    Jakoniene, Vaida
    Tan, He
    Lambrix, Patrick
    BRIEFINGS IN BIOINFORMATICS, 2006, 7 (04) : 331 - 338
  • [25] A guide and tools for selecting and accessing microclimate data for mechanistic niche modeling
    Meyer, Abigail V.
    Sakairi, Yutaro
    Kearney, Michael R.
    Buckley, Lauren B.
    ECOSPHERE, 2023, 14 (04):
  • [26] Climate data at NASA Goddard Earth Sciences DAAC
    Serafino, GN
    Ahmad, SP
    13TH SYMPOSIUM ON GLOBAL CHANGE AND CLIMATE VARIATIONS, 2002, : 123 - 126
  • [27] Implementation of data citations and persistent identifiers at the ORNL DAAC
    Cook, Robert B.
    Vannan, Suresh K. S.
    McMurry, Benjamin F.
    Wright, Daine M.
    Wei, Y.
    Boyer, Alison G.
    Kidder, J. H.
    ECOLOGICAL INFORMATICS, 2016, 33 : 10 - 16
  • [28] Methylartist: tools for visualizing modified bases from nanopore sequence data
    Cheetham, Seth W.
    Kindlova, Michaela
    Ewing, Adam D.
    BIOINFORMATICS, 2022,
  • [29] Methylartist: tools for visualizing modified bases from nanopore sequence data
    Cheetham, Seth W.
    Kindlova, Michaela
    Ewing, Adam D.
    BIOINFORMATICS, 2022, 38 (11) : 3109 - 3112
  • [30] Using VisAD to build tools for visualizing and analyzing remotely sensed data
    Murray, D
    Hibbard, B
    Whittaker, T
    Kelly, J
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 204 - 206