Web services for big earth observation data

Proceedings of the Brazilian Symposium on GeoInformatics

Volumn 2016-November, Issue , 2016, Pages 166-177

  Vinhas, Lubia ^a   De Queiroz, Gilberto Ribeiro ^a   Ferreira, Karine Reis ^a   Camara, Gilberto ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYTICS; ELECTROOPTICAL DEVICES; OBSERVATORIES; REMOTE SENSING; TIME SERIES; WEBSITES;

DESIGN DECISIONS; EARTH OBSERVATION DATA; GENERIC SERVICES; GEO-SPATIAL DATA; GEOSPATIAL WEB SERVICES; REMOTE SENSING DATA;

WEB SERVICES;

EID: 85061008820     PISSN: None     EISSN: 21794847     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Adami, M., Rudorff, B. F. T., Freitas, R. M., Aguiar, D. A., Sugawara, L. M., and Mello, M. P. (2012). Remote sensing time series to evaluate direct land use change of recent expanded sugarcane crop in brazil. Sustainability, 4(4):574-585.
2. Amirian, P., Basiri, A., and Winstanley, A. (2014). Evaluation of data management systems for geospatial big data. In Murgante, B. and Misra, S., editors, 14th International Conference in Computational Science and Its Applications - ICCSA 2014, pages 678-690.
3. Baumann, P. (2010). The ogc web coverage processing service (wcps) standard. GeoInfor-matica, 14(4):447-479.
4. Baumann, P., Dehmel, A., Furtado, P., Ritsch, R., and Widmann, N. (1998). The multidimensional database system RasDaMan. ACM SIGMOD Record, 27(2):575-577.
5. Gorelick, N. (2012). Google earth engine. In AGU Fall Meeting Abstracts, volume 1, page 04.
6. Guo, W., She, B., and Zhu, X. (2014). Remote sensing image on-demand computing schema for the China ZY-3 satellite private cloud-computing platform. Transactions in GIS, 18:53-75.
7. Jensen, J. R. (2009). Remote Sensing of the environment: na Earth resource perspective. Prentice Hall, Chicago.
8. Jönsson, P. and Eklundh, L. (2004). Timesat-a program for analyzing time-series of satellite sensor data. Computers & Geosciences, 30(8):833 - 845.
9. Karantzalos, K., Bliziotis, D., and Karmas, A. (2015). A scalable geospatial web service for near real-time, high-resolution land cover mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(10):4665-4674.
10. Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., et al. (2016). Geospatial big data handling theory and methods: A review and research challenges. ISPRS journal of Photogrammetry and Remote Sensing, 115:119-133.
11. Maus, V., Câmara, G., Cartaxo, R., Sanchez, A., Ramos, F. M., and de Queiroz, G. R. (2016). A time-weighted dynamic time warping method for land-use and land-cover mapping. IEEE journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99):1-11.
12. Müller, M., Bernard, L., and Brauner, J. (2010). Moving code in spatial data infrastructures - web service based deployment of geoprocessing algorithms. Transactions in GIS, 14:101-118.
13. OGC (2015a). OGC Observations and Measurements - JSON implementation. Technical report, Open Geospatial Consortium.
14. OGC (2015b). OGC WPS 2.0 Interface Standard. Technical report, Open Geospatial Consortium.
15. Olsson, L., Eklundh, L., and Ardö, J. (2005). A recent greening of the sahel-trends, patterns and potential causes. journal of Arid Environments, 63(3):556-566.
16. R Core Team (2015). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
17. Sakamoto, T., Yokozawa, M., Toritani, H., Shibayama, M., Ishitsuka, N., and Ohno, H. (2005). A crop phenology detection method using time-series MODIS data. Remote Sensing of Environment, 96(3-4):366-374.
18. Stonebraker, M., Brown, P., Zhang, D., and Becla, J. (2013). Scidb: A database management system for applications with complex analytics. Computing in Science & Engineering, 15(3):54-62.
19. Verbesselt, J., Hyndman, R., Newnham, G., and Culvenor, D. (2010). Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment, 114(1):106-115.
20. Vitolo, C., Elkhatib, Y., Reusser, D., Macleod, C. J., and Buytaert, W. (2015). Web technologies for environmental big data. Environmental Modelling & Software, 63:185 - 198.