Data underlying the research on RICA: Rice Crop Calendar for Asia

doi: 10.4121/13468929.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13468929
Datacite citation style:
Bhogendra Mishra; Lorenzo Busetto; Mirco Boschetti; Alice G. Laborte; Andy Nelson (2023): Data underlying the research on RICA: Rice Crop Calendar for Asia. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/13468929.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2023-09-01 (latest)
version 1 - 2020-12-21
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usage stats
1616
views
82
downloads
geolocation
Asia
lat (N): 55 to -20
lon (E): 60 to 180
time coverage
2003-2016

This dataset "RICA: Rice Crop Calendar for Asia" contains (1) a shapefile (a data format used in many GIS) that shows administrative units and (2) a csv table that can be joined to the shapefile.


Shapefile - These units have been used in a spatial analysis of hypertemporal remote sensing information from MODIS images (2003-2016) to estimate start of season (SoS0 and end of season (EoS0 dates for rice crops in Asia. The file contains the names of the spatial units for country, region and sub region where available.


CSV file - The accompanying csv file contains the SoS and EoS dates which can be joined to this shapefile using the OBJECTID attribute in the shapefile table. The tables contains the number of detected seasons (N), the proportion of detections (prop), the mean day of year of SoS and EoS and the standard deviation of the SoS and EoS dates.


The article related to this data is available here https://www.sciencedirect.com/science/article/pii/S0303243421001781


Data (shapefile and csv file) have also been posted at https://figshare.com/s/615c7ab2aa8c9e5dc9ba with a reserved DOI 10.4121/13468929.

history
  • 2020-12-21 first online
  • 2023-09-01 published, posted
publisher
4TU.ResearchData
format
Shapefile and csv file
organizations
1 Department of Natural Resources, ITC - Faculty of Geo-Information Science and Earth Observation of the University of Twente;
2 Science Hub, Kathmandu, Nepal;
3 Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, Via Bassini 15, Milan 20133, Italy;
4 International Rice Research Institute, Los Baños, Laguna, Philippines

DATA

files (2)