Crop data of Barisal, Dinajpur and Rangpur districts of Bangladesh - 2019

Raster data of Crop type maps of three pilot district of Bangladesh in 2019. This dataset was created using Sentinel 1 and 2 time series images from November 2018- April 2019. Boro-rice, Maize, Potato were the crops mapped in three districts of Bangladesh (Dinajpur, Rangpur, Barisal). Decision tree classification along with machine learning classifier was used for the classification. The maps were validated from the collected field samples.

Date ( Publication ): 2019-12-16

Author

ICIMOD - Mr. Varun Tiwari ( Remote Sensing and Geoinformation Analyst )

Nepal

977-1-5275222

Purpose: Baseline information on crop types

Credit: This dataset has been developed by SERVIR Himalaya. SERVIR is a joint USAID-NASA project. For more information on SERVIR, visit http://www.servirglobal.net. For references, use: International Centre for Integrated Mountain Development (ICIMOD), SERVIR Himalaya.

Status: Completed

Maintenance and update frequency: As needed

GEOSS THEME ( Theme )

Crop Type
Sentinel
Google Earth Engine
Agriculture

Keywords ( Place )

Bangladesh
Barisal
Dinajpur
Rangpur
SERVIR Himalaya
servircat
icimod-servir

Use limitation: geossDataCore

Use limitation: Free to use with attribution to the source. Suggested citation: ICIMOD. (2020). Crop data of Barisal, Dinajpur and Rangpur districts of Bangladesh - 2019 [Data set]. ICIMOD. https://doi.org/10.26066/RDS.36029

Use limitation: The SERVIR Project, NASA, USAID and ICIMOD make no express or implied warranty of this data as to the merchantability or fitness for a particular purpose. Neither the US Government nor its contractors shall be liable for special, consequential or incidental damages attributed to this data.

Use limitation: Users are permitted to copy, use, adapt, and redistribute SERVIR data without limitations. SERVIR encourages users to keep any adapted or redistributed versions of this data freely available for public use.