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RiceFloodIT: Water Management in the Italian Rice Paddies Estimated from MODIS data

Authors: Luigi Ranghetti;

RiceFloodIT: Water Management in the Italian Rice Paddies Estimated from MODIS data

Abstract

This repository includes two datasets used in Ranghetti et al. (2018) and Ranghetti & Boschetti (2022) to analyse the magnitude of a decreasing trend in the extent of submerged rice paddies during the rice-sowing period in the Italian rice district: methods used to generate these data from MODIS remote sensing imagery are described in these papers. ffavg_2021.csv: this dataset includes values of yearly FFavg (averaged Flooding Fraction) at pixel level. Each record represent the FFavg value of a specific pixel in a specific year. x and y identifies the latitude and longitude of each record (in UTM32 coordinates); subdistrict represent the sub-district ID of each pixel ("A" to "G"); year is the year whose each record refers to; ff is the FFavg value (range 0-1); count is the number of MODIS images used to generate each FFavg aggregated value. ws_2021.csv: this dataset includes values of WS (proportion of Water-Seeded rice surface) at sub-district and district levels. subdistrict represent the sub-district ID of each record ("A" to "G", plus "all" which identifies values aggregated at district level); year is the year whose each record refers to; ws is the WS value (range 0-1); count is the number of pixels used to generate each WS aggregated record. Current data version (2021.01) includes estimated values in the period 2000-2021. References: Ranghetti, Luigi, Elisa Cardarelli, Mirco Boschetti, Lorenzo Busetto and Mauro Fasola. 2018. “Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies.” Remote Sensing 10 (3). doi:10.3390/rs10030416. Ranghetti, Luigi and Mirco Boschetti. 2022. “Updated trends of water management practice in the Italian rice paddies from remotely sensed imagery.” European Journal of Remote Sensing 55 (1), pp. 1-9. doi:10.1080/22797254.2021.2002726.

{"references": ["Ranghetti, Luigi, Elisa Cardarelli, Mirco Boschetti, Lorenzo Busetto and Mauro Fasola. 2018. \"Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies.\" Remote Sensing 10 (3). https://doi.org/10.3390/rs10030416.", "Ranghetti, Luigi\u00a0and Mirco Boschetti. 2022. \"Updated trends of water management practice in the Italian rice paddies from remotely sensed imagery.\" European Journal of Remote Sensing 55\u00a0(1), pp. 1-9. https://doi.org/10.1080/22797254.2021.2002726."]}

Country
Italy
Keywords

Water management, remote sensing, flooding, MODIS, NDFI, rice, open data, Rice monitoring

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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