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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 19 Similar Profiles
time series Earth & Environmental Sciences
phenology Earth & Environmental Sciences
MERIS Earth & Environmental Sciences
spatial resolution Earth & Environmental Sciences
smallholder Earth & Environmental Sciences
crop Earth & Environmental Sciences
temperature Earth & Environmental Sciences
pixel Earth & Environmental Sciences

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Research Output 2005 2018

2 Citations

A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems

Aguilar, R., Zurita-Milla, R., Izquierdo-Verdiguier, E. & A. De By, R., 2018, In : Remote sensing. 10, 5, 18 p., 729.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File

Analyzing the cross-correlation between the extended spring indices and the AVHRR start of season phenometric

Zurita-Milla, R., Bogaardt, R., Izquierdo-Verdiguier, E. & Goncalves, R., 2018, p. 1.

Research output: Contribution to conferenceAbstractOther research output

Open Access

A Spark-based platform to extract phenological information from satellite images

Bakayov, V., Goncalves, R., Zurita-Milla, R. & Izquierdo-Verdiguier, E., 2018, p. 354-355. 2 p.

Research output: Contribution to conferencePaperAcademic

vegetation index
time series
NDVI
remote sensing
phenology
1 Citations

Development and analysis of spring plant phenology products: 36 years of 1-km grids over the conterminous US

Izquierdo-Verdiguier, E., Zurita-Milla, R., Ault, T. R. & Schwartz, M. D., 2018, In : Agricultural and forest meteorology. 262, p. 34-41

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
phenology
climate change
Great Lakes region
new products
natural resources

Identifying favorable spatio-temporal conditions for West Nile virus outbreaks by co-clustering of modis LST idences time series

Andreo, V., Izquierdo-Verdiguier, E., Zurita-Milla, R., Rosà, R., Rizzoli, A. & Papa, A., 2018, IGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forecasting the Dynamics of Our Planet. Institute of Electrical and Electronics Engineers, 4 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Press / Media

Evaluating the quality of volunteered data

R. Zurita-Milla

16/11/15

1 media contribution

Press/Media: Expert Comment