Landscape Monitoring

This page describes the data provided for landscape monitoring, including crop monitoring history and feature properties.

Crop Monitoring History

For landscape features corresponding to fields, we provide a crop monitoring history at the feature level. This history contains a list of entries where each entry describes the most likely crops growing during a finite period of time that the entry corresponds to (typically one crop season or shorter).

Feature property

This table describes the properties of a GeoJSON Feature Object from the MonitoredLandscape data.

Property Type Description
id string A feature ID, represented by the plus code of the centroid of the feature.
properties.alu_type string The landscape type of the feature. Monitoring is restricted to the field class.
properties.area_sq_m number The area of feature in square meters.
properties.class_confidence number The confidence in the accuracy of the landscape segmentation. The value is between 0 and 1.
properties.capture_timestamp_sec integer The capture timestamp in seconds for the segmentation observation's source image.
properties.monitoring_prediction array[object] The landscape monitoring history for the feature. Each entry in the history itself is a nested object. This is discussed in the next section.

Monitoring Prediction property

The predictions for fields, that is properties.monitoring_prediction are organized as follows:

Property Type Description
start_timestamp_sec integer Start time for the prediction, in seconds. Notional of start of the detected agricultural season.
end_timestamp_sec integer End time for the prediction, in seconds. Notional of end of the detected agricultural season.
crop_prediction object The crop predictions (discussed in separate table below).

Crop Prediction property

The crop predictions are organized as follows:

Property Type Description
crop_1 string Name of the first most likely crop.
conf_1 number Confidence of the first most likely crop, in [0,1].
crop_2 string Name of the second most likely crop.
conf_2 number Confidence of the second most likely crop, in [0,1].
crop_3 string Name of the third most likely crop.
conf_3 number Confidence of the third most likely crop, in [0,1].

Supported crops include: Bajra, Chilli, Corn, Cotton, Gram (Bengal gram and Chickpeas), Groundnut, Mustard, Rice, Sorghum, Soybeans, Sugarcane, and Wheat.