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This project was supported by the Centre for Hydrographic Studies (CEH-CEDEX) and by the project AGL-2010-17505 funded by the Spanish Ministry of Economy. We express our sincere thanks to the water user associations in the Ebro Delta and Orellana for their careful explanation of rice paddies management practices and the field data provided. We are also thankful to Confederacion Hidrografica del Guadiana (Ministry of Agriculture), for their help and the data provided regarding Orellana irrigation district.

Analysis of institutional authors

Iglesias Picazo, Ana LuisaAuthorCarmen Moyano, MariaAuthorCicuendez, VictorAuthorRecuero, LauraAuthorPalacios-Orueta, AliciaAuthor
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Article

Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod

Publicated to:Isprs Journal Of Photogrammetry And Remote Sensing. 101 110-124 - 2015-03-01 101(), DOI: 10.1016/j.isprsjprs.2014.12.006

Authors: Tornos, Lucia; Huesca, Margarita; Antonio Dominguez, Jose; Carmen Moyano, Maria; Cicuendez, Victor; Recuero, Laura; Palacios-Orueta, Alicia;

Affiliations

CEDEX, Ctr Hydrog Studies, Madrid 28005, Spain - Author
Natl Distance Educ Univ, UNED, Madrid, Spain - Author
Univ Calif Davis, Dept Land Air & Water Resources, Ctr Spatial Technol & Remote Sensing CSTARS, Davis, CA 95616 USA - Author
Univ Politecn Madrid, ETSIM, Dept Silvopascicultura, E-28040 Madrid, Spain - Author

Abstract

Rice agricultural practices and hydroperiod dates must be determined to obtain information on water management practices and their environmental effects. Spectral indices derived from an 8-day MODIS composite allows to identify rice phenometrics at varying degrees of success. The aims of this study were (1) to assess the dynamics of the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI(1) and NDWI(2)) and Shortwave Angle Slope Index (SASI) in relation to rice agricultural practices and hydroperiod, and (2) to assess the capability for these indices to detect phenometrics in rice under different flooding regimes. Two rice farming areas in Spain that are governed under different water management practices, the Ebro Delta and Orellana, were studied over a 12-year period (2001-2012). The index time series autocorrelation function was calculated to determine index dynamics in both areas. Secondly, average indices were calculated to identify significant points close to key agricultural and flooding dates, and index behaviors and capacities to identify phenometrics were assessed on a pixel level. The index autocorrelation function produced a regular pattern in both zones, being remarkably homogeneous in the Ebro Delta. It was concluded that a combination of NDVI, NDWI(1), NDWI(2) and SASI may improve the results obtained through each index. NDVI was more effective at detecting the heading date and flooding trends in the Ebro Delta. NDWI(1), NDWI(2) and SASI identified the harvest and the end of environmental flooding in the Delta, and the flooding in Orellana, more effectively. These results may set strong foundations for the development of new strategies in rice monitoring systems, providing useful information to policy makers and environmental studies. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.

Keywords
AgricultureAnalysisChinaCropCropping systemsDetectionDifference water indexDiscriminationEnvironmentFloodsImagesModisMonitoringNdvi time-seriesPatternsPhenologySatelliteVegetation

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Isprs Journal Of Photogrammetry And Remote Sensing due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position 14/184, thus managing to position itself as a Q1 (Primer Cuartil), in the category Geosciences, Multidisciplinary.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.16. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.65 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 15.46 (source consulted: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-24, the following number of citations:

  • WoS: 38
  • Scopus: 54
  • OpenCitations: 47
Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-05-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 128 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/44829/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 387
  • Downloads: 572
Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United States of America.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (PALACIOS ORUETA, ALICIA).