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A platform for research: civil engineering, architecture and urbanism
RiceFloodIT: Water Management in the Italian Rice Paddies Estimated from MODIS data
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.
RiceFloodIT: Water Management in the Italian Rice Paddies Estimated from MODIS data
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.
RiceFloodIT: Water Management in the Italian Rice Paddies Estimated from MODIS data
Luigi Ranghetti (author)
2021-12-30
Research Data
Electronic Resource
English
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