Author Archives: cropsignalnews

PDF reports from PIRSA and GIWA are now indexed in our Reports topic.

To the aggregated CHIRPS weather data under the Weather Topic, we have added new variable calculations that show the percent of cropland pixels whose aggregated SPI falls into each item of a set of drought conditions for each administrative unit … Continue reading →

Annual crop statistics and crop progress from Mexican SIAP organization are now available.  This rich dataset provides data for all four administrative unit locations (National, State, District and Municipality) for 1980 to 2016 (annual stats) as well as progress data … Continue reading →

Area, Yield and Production Statistics from the Oficina Nacional de Estadistica e Informamacion de Cuba (ONEI) source in Cuba are now available for National and Province level locations.  Statistics are available from 1986 (national) to 2014.  Please look for the … Continue reading →

GDA has added precipitation data at L1, L2, and L3 levels from CHIRPS.  CHIRPS precipitation is a continuous raster dataset that has been subset by administrative unit geographic boundaries and also filtered to known croplands.  The precipitation anomaly and SPI … Continue reading →

We’ve revised the text labels on the axis of charts from Annual Crop Stats and Sub-annual crop stats to include the specific variable names for extra clarity in determining which y-axis applies to which variable series.

The dashboard index page (which lists all dashboards and provides controls for them) has been drastically revised and improved to support new features.  You can now select multiple dashboards and copy, delete, share them as well as rename, set a … Continue reading →

You can now add tags to dashboards.  When you’re viewing a dashboard (or adding/editing one), you can add new tags to organize your dashboards.  There is a ‘add tag’ box in the dashboard toolbar where you can enter tags and … Continue reading →

New national statistics for international global cotton have been added from the International Cotton Advisory Committee (ICAC).  Additionally, district-level historical statistics have been added for China under China NBS2 (aggregate of multiple provincial sources).

To ease the selection of Crops on the topics with large crop lists (Annual Crop Stats, Monthly Crop Stats, Seasonal Analysis), we have applied a tree grouping mechanism which groups all the crop types by common crop family.  If you … Continue reading →