Table 3 Main input variables in the part of statistic allocation and harmonization.

From: Crop Statistic to Annual Map: Tracking spatiotemporal dynamics of crop-specific areas through machine learning and statistics disaggregating

ID

Variables

Definition

1

\({\rm{i}}\)

10 km grid cell

2

\({\rm{j}}\)

Crop type

3

\({\rm{k}}\)

Administrative unit

4

\({\rm{y}}\)

Year

5

\({{Prob}}_{{ijy}}\)

Probability of crop type \({\rm{j}}\) in grid \({\rm{i}}\) in year \({\rm{y}}\) predict by RF.

6

\({{PixelArea}}_{i}\)

Pixel area in grid \({\rm{i}}\), factor that transforms proportion (0-1) into area (ha).

7

\({{Stat}}_{{jky}}\)

Area Statistics (ha) of crop type \({\rm{j}}\) in administrative unit \({\rm{k}}\) in year \({\rm{y}}\).

8

\({{AdjProb}}_{{ijy}}\)

Adjusted probability of crop type \({\rm{j}}\) in grid \({\rm{i}}\) in year \({\rm{y}}\) in the process.

9

\({{Cropland}}_{{iy}}\)

Cropland area proportion in grid \({\rm{i}}\) in year \({\rm{y}}\).

10

\({{Crop}{Intensity}}_{{iy}}\)

Harvest frequency in grid \({\rm{i}}\) in year \({\rm{y}}\).

11

\({{MaxHarvArea}}_{{iy}}\)

Maximum of harvested area in grid \({\rm{i}}\) in year \({\rm{y}}\).

12

\({{\rm{HarvAreaL}}{\rm{eft}}}_{{iy}}\)

Left harvested area space where crop statistics can be allocated in grid \({\rm{i}}\) in year \({\rm{y}}\).

13

\({{LeftCrop}}_{{iy}}\)

List of crop types whose statistics have not been allocated when the maximum harvested area is achieved in grid \({\rm{i}}\) in year \({\rm{y}}\).

14

\({{\rm{StatLeft}}}_{{jky}}\)

Statistics of crop type \({\rm{j}}\) which has not been allocated in administrative unit \({\rm{k}}\) in year \({\rm{y}}\).

15

\({{\rm{CropArea}}}_{{ijy}}\)

Harvested area of crop type \({\rm{j}}\) in grid \({\rm{i}}\) in year \({\rm{y}}\)