S.I.I.A. for monitoring crop evolution and anomaly detection in Andalusia by remote sensing

Antonio Jose Rodriguez Perez; El Mostafa Louakfaoui; Antonio Munoz Rastrero; Luis Alberto Rubio Perez; Carmen de Pablos Epalza

doi:10.1117/12.514165

24 February 2004 S.I.I.A for monitoring crop evolution and anomaly detection in Andalusia by remote sensing

Antonio Jose Rodriguez Perez, El Mostafa Louakfaoui, Antonio Munoz Rastrero, Luis Alberto Rubio Perez, Carmen de Pablos Epalza

Author Affiliations +

Proceedings Volume 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V; (2004) https://doi.org/10.1117/12.514165
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

A new remote sensing application was developed and incorporated to the Agrarian Integrated Information System (S.I.I.A), project which is involved on integrating the regional farming databases from a geographical point of view, adding new values and uses to the original information. The project is supported by the Studies and Statistical Service, Regional Government Ministry of Agriculture and Fisheries (CAP). The process integrates NDVI values from daily NOAA-AVHRR and monthly IRS-WIFS images, and crop classes location maps. Agrarian local information and meteorological information is being included in the working process to produce a synergistic effect. An updated crop-growing evaluation state is obtained by 10-days periods, crop class, sensor type (including data fusion) and administrative geographical borders. Last ten years crop database (1992-2002) has been organized according to these variables. Crop class database can be accessed by an application which helps users on the crop statistical analysis. Multi-temporal and multi-geographical comparative analysis can be done by the user, not only for a year but also for a historical point of view. Moreover, real time crop anomalies can be detected and analyzed. Most of the output products will be available on Internet in the near future by a on-line application.

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Antonio Jose Rodriguez Perez, El Mostafa Louakfaoui, Antonio Munoz Rastrero, Luis Alberto Rubio Perez, and Carmen de Pablos Epalza "S.I.I.A for monitoring crop evolution and anomaly detection in Andalusia by remote sensing", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.514165

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KEYWORDS

Remote sensing

Agriculture

Databases

Sensors

Data fusion

Statistical analysis

Vegetation

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