IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0001408.html
   My bibliography  Save this article

Global Data for Ecology and Epidemiology: A Novel Algorithm for Temporal Fourier Processing MODIS Data

Author

Listed:
  • Jörn P W Scharlemann
  • David Benz
  • Simon I Hay
  • Bethan V Purse
  • Andrew J Tatem
  • G R William Wint
  • David J Rogers

Abstract

Background: Remotely-sensed environmental data from earth-orbiting satellites are increasingly used to model the distribution and abundance of both plant and animal species, especially those of economic or conservation importance. Time series of data from the MODerate-resolution Imaging Spectroradiometer (MODIS) sensors on-board NASA's Terra and Aqua satellites offer the potential to capture environmental thermal and vegetation seasonality, through temporal Fourier analysis, more accurately than was previously possible using the NOAA Advanced Very High Resolution Radiometer (AVHRR) sensor data. MODIS data are composited over 8- or 16-day time intervals that pose unique problems for temporal Fourier analysis. Applying standard techniques to MODIS data can introduce errors of up to 30% in the estimation of the amplitudes and phases of the Fourier harmonics. Methodology/Principal Findings: We present a novel spline-based algorithm that overcomes the processing problems of composited MODIS data. The algorithm is tested on artificial data generated using randomly selected values of both amplitudes and phases, and provides an accurate estimate of the input variables under all conditions. The algorithm was then applied to produce layers that capture the seasonality in MODIS data for the period from 2001 to 2005. Conclusions/Significance: Global temporal Fourier processed images of 1 km MODIS data for Middle Infrared Reflectance, day- and night-time Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI) are presented for ecological and epidemiological applications. The finer spatial and temporal resolution, combined with the greater geolocational and spectral accuracy of the MODIS instruments, compared with previous multi-temporal data sets, mean that these data may be used with greater confidence in species' distribution modelling.

Suggested Citation

  • Jörn P W Scharlemann & David Benz & Simon I Hay & Bethan V Purse & Andrew J Tatem & G R William Wint & David J Rogers, 2008. "Global Data for Ecology and Epidemiology: A Novel Algorithm for Temporal Fourier Processing MODIS Data," PLOS ONE, Public Library of Science, vol. 3(1), pages 1-13, January.
  • Handle: RePEc:plo:pone00:0001408
    DOI: 10.1371/journal.pone.0001408
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0001408
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0001408&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0001408?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David J. Rogers & Sarah E. Randolph & Robert W. Snow & Simon I. Hay, 2002. "Satellite imagery in the study and forecast of malaria," Nature, Nature, vol. 415(6872), pages 710-715, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miguel Castrence & Duong H. Nong & Chinh C. Tran & Luisa Young & Jefferson Fox, 2014. "Mapping Urban Transitions Using Multi-Temporal Landsat and DMSP-OLS Night-Time Lights Imagery of the Red River Delta in Vietnam," Land, MDPI, vol. 3(1), pages 1-19, February.
    2. Nicholas A S Hamm & Ricardo J Soares Magalhães & Archie C A Clements, 2015. "Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(12), pages 1-24, December.
    3. Yangyi Chen & Wenfeng Zhan & Zihan Liu & Pan Dong & Huyan Fu & Shiqi Miao & Yingying Ji & Lu Jiang & Sida Jiang, 2023. "Combining Spatiotemporally Global and Local Interpolations Improves Modeling of Annual Land Surface Temperature Cycles," Land, MDPI, vol. 12(2), pages 1-25, January.
    4. Jan C. Semenza, 2015. "Prototype Early Warning Systems for Vector-Borne Diseases in Europe," IJERPH, MDPI, vol. 12(6), pages 1-19, June.
    5. Tomislav Hengl & Jorge Mendes de Jesus & Robert A MacMillan & Niels H Batjes & Gerard B M Heuvelink & Eloi Ribeiro & Alessandro Samuel-Rosa & Bas Kempen & Johan G B Leenaars & Markus G Walsh & Maria R, 2014. "SoilGrids1km — Global Soil Information Based on Automated Mapping," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-17, August.
    6. Blum, Moshe & Nestel, David & Cohen, Yafit & Goldshtein, Eitan & Helman, David & Lensky, Itamar M., 2018. "Predicting Heliothis (Helicoverpa armigera) pest population dynamics with an age-structured insect population model driven by satellite data," Ecological Modelling, Elsevier, vol. 369(C), pages 1-12.
    7. David Fisman & Eleni Patrozou & Yehuda Carmeli & Eli Perencevich & Ashleigh R Tuite & Leonard A Mermel & the Geographical Variability of Bacteremia Study Group, 2014. "Geographical Variability in the Likelihood of Bloodstream Infections Due to Gram-Negative Bacteria: Correlation with Proximity to the Equator and Health Care Expenditure," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monika Punia & Suman Nain & Amit Kumar & Bhupendra Singh & Amit Prakash & Krishan Kumar & V. Jain, 2015. "Analysis of temperature variability over north-west part of India for the period 1970–2000," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 935-952, January.
    2. Paulina Phoobane & Muthoni Masinde & Tafadzwanashe Mabhaudhi, 2022. "Predicting Infectious Diseases: A Bibliometric Review on Africa," IJERPH, MDPI, vol. 19(3), pages 1-20, February.
    3. Cord, Anna F. & Klein, Doris & Mora, Franz & Dech, Stefan, 2014. "Comparing the suitability of classified land cover data and remote sensing variables for modeling distribution patterns of plants," Ecological Modelling, Elsevier, vol. 272(C), pages 129-140.
    4. Nicholas A S Hamm & Ricardo J Soares Magalhães & Archie C A Clements, 2015. "Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(12), pages 1-24, December.
    5. Zhoupeng Ren & Duoquan Wang & Jimee Hwang & Adam Bennett & Hugh J W Sturrock & Aimin Ma & Jixia Huang & Zhigui Xia & Xinyu Feng & Jinfeng Wang, 2015. "Spatial-Temporal Variation and Primary Ecological Drivers of Anopheles sinensis Human Biting Rates in Malaria Epidemic-Prone Regions of China," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-17, January.
    6. Xavier Rodó & Mercedes Pascual & Francisco Doblas-Reyes & Alexander Gershunov & Dáithí Stone & Filippo Giorgi & Peter Hudson & James Kinter & Miquel-Àngel Rodríguez-Arias & Nils Stenseth & David Alons, 2013. "Climate change and infectious diseases: Can we meet the needs for better prediction?," Climatic Change, Springer, vol. 118(3), pages 625-640, June.
    7. Luong Thi Nguyen & Huy Xuan Le & Dong Thanh Nguyen & Ha Quang Ho & Ting-Wu Chuang, 2020. "Impact of Climate Variability and Abundance of Mosquitoes on Dengue Transmission in Central Vietnam," IJERPH, MDPI, vol. 17(7), pages 1-16, April.
    8. Bradley, Bethany A. & Olsson, Aaryn D. & Wang, Ophelia & Dickson, Brett G. & Pelech, Lori & Sesnie, Steven E. & Zachmann, Luke J., 2012. "Species detection vs. habitat suitability: Are we biasing habitat suitability models with remotely sensed data?," Ecological Modelling, Elsevier, vol. 244(C), pages 57-64.
    9. Chathurika Hettiarachchige & Stefan von Cavallar & Timothy Lynar & Roslyn I Hickson & Manoj Gambhir, 2018. "Risk prediction system for dengue transmission based on high resolution weather data," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
    10. Gilioli, G. & Groppi, M. & Vesperoni, M.P. & Baumgärtner, J. & Gutierrez, A.P., 2009. "An epidemiological model of East Coast Fever in African livestock," Ecological Modelling, Elsevier, vol. 220(13), pages 1652-1662.
    11. Ting-Wu Chuang & Michael C Wimberly, 2012. "Remote Sensing of Climatic Anomalies and West Nile Virus Incidence in the Northern Great Plains of the United States," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-10, October.
    12. Daniel C Medina & Sally E Findley & Boubacar Guindo & Seydou Doumbia, 2007. "Forecasting Non-Stationary Diarrhea, Acute Respiratory Infection, and Malaria Time-Series in Niono, Mali," PLOS ONE, Public Library of Science, vol. 2(11), pages 1-13, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0001408. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.