Add to ORKGAcross the globe, accurate national spatial datasets on cropland extent are lacking. These are necessary for a number of reasons, including accurately monitoring and predicting crop yield, land use, land acquisitions and food security. This study describes the use of crowdsourcing information retrieved over Ethiopia depicting the extent of cropland area. This information has been used to train a classification algorithm in Google Earth Engine to produce a continuous cropland extent map of Ethiopia. Preliminary results of this novel approach are encouraging, with an overall validity of 96%
This contribution was double-blind reviewed as extended abstract. Land grabbing is a global phenomen...
Global timely, accurate, and cost-effective cropland mapping is a prerequisite for agriculture monit...
This paper explores the use of crowd sourced data on land cover. It compares data collected through ...
Across the globe, accurate national spatial datasets on cropland extent are lacking. These are neces...
Across the globe, accurate national spatial datasets on cropland extent are lacking. These are neces...
This contribution was double-blind reviewed as extended abstract. Across the globe, accurate nationa...
The spatial distribution of cropland is an important input to many applications including food secur...
The spatial distribution of cropland is an important input to many applications including food secur...
Land grabbing is a global phenomenon that has radically increased since 2005. Global and national es...
Remote sensing data are used to map the extent of croplands. They are especially useful in sub-Sahar...
Land grabbing is a global phenomenon that has radically increased since 2005. Global and national es...
A global reference data set on cropland was collected through a crowdsourcing campaign using the Geo...
This contribution was double-blind reviewed as extended abstract. Land grabbing is a global phenomen...
Global timely, accurate, and cost-effective cropland mapping is a prerequisite for agriculture monit...
This paper explores the use of crowd sourced data on land cover. It compares data collected through ...
Across the globe, accurate national spatial datasets on cropland extent are lacking. These are neces...
Across the globe, accurate national spatial datasets on cropland extent are lacking. These are neces...
This contribution was double-blind reviewed as extended abstract. Across the globe, accurate nationa...
The spatial distribution of cropland is an important input to many applications including food secur...
The spatial distribution of cropland is an important input to many applications including food secur...
Land grabbing is a global phenomenon that has radically increased since 2005. Global and national es...
Remote sensing data are used to map the extent of croplands. They are especially useful in sub-Sahar...
Land grabbing is a global phenomenon that has radically increased since 2005. Global and national es...
A global reference data set on cropland was collected through a crowdsourcing campaign using the Geo...
This contribution was double-blind reviewed as extended abstract. Land grabbing is a global phenomen...
Global timely, accurate, and cost-effective cropland mapping is a prerequisite for agriculture monit...
This paper explores the use of crowd sourced data on land cover. It compares data collected through ...