Figures & data
Figure 2. Accumulated values of precipitation during the main crop growth period between April and September in (a) Bila Tserkva, (b) Mironivka (c) Yahotyn regions.
![Figure 2. Accumulated values of precipitation during the main crop growth period between April and September in (a) Bila Tserkva, (b) Mironivka (c) Yahotyn regions.](/cms/asset/4fd659d2-a90e-4721-a387-61a998889dd2/tgrs_a_1778332_f0002_oc.jpg)
Figure 3. Workflow for drought-induced crop condition monitoring using multi-sensor data (RS stands for Remote Sensing, LST for Land Surface Temperature, RSM for Relative surface moisture).
![Figure 3. Workflow for drought-induced crop condition monitoring using multi-sensor data (RS stands for Remote Sensing, LST for Land Surface Temperature, RSM for Relative surface moisture).](/cms/asset/156aadc5-a4eb-4bda-8451-498f1167bb5f/tgrs_a_1778332_f0003_oc.jpg)
Table 1. Main RS indicators tested for agricultural drought monitoring, where L8 stands for Landsat 8 observations, S2 for Sentinel 2, S1 for Sentinel-1, and L8+ MOD for Synthetic Landsat products.
Figure 4. NDVI/LST density plots for (a) maize, (b) soybean and (c) sunflower during the mid-growing season in 2017 (red) and 2016 (green) derived from Landsat-8.
![Figure 4. NDVI/LST density plots for (a) maize, (b) soybean and (c) sunflower during the mid-growing season in 2017 (red) and 2016 (green) derived from Landsat-8.](/cms/asset/26b93b48-a5bc-414e-82fc-f50f5d0cbf83/tgrs_a_1778332_f0004_oc.jpg)
Figure 5. Time-series of NDVI derived from optical sensors for (a) Maize, (b) Sunflower, (c) Soy, (d) Wheat with blue depicting non-drought conditions (2016) and black drought conditions (2017).
![Figure 5. Time-series of NDVI derived from optical sensors for (a) Maize, (b) Sunflower, (c) Soy, (d) Wheat with blue depicting non-drought conditions (2016) and black drought conditions (2017).](/cms/asset/185956a1-3636-426e-862f-ed447cce01ba/tgrs_a_1778332_f0005_oc.jpg)
Figure 6. Time-series of backscattering coefficient for (a) Maize, (b) Sunflower, (c) Soy, (d) Wheat with blue depicting non-drought conditions (2016) and black drought conditions (2017).
![Figure 6. Time-series of backscattering coefficient for (a) Maize, (b) Sunflower, (c) Soy, (d) Wheat with blue depicting non-drought conditions (2016) and black drought conditions (2017).](/cms/asset/7e813aae-496a-49ec-b696-3e3939507d10/tgrs_a_1778332_f0006_oc.jpg)
Figure 7. Length of the drought estimated in 2017 from (a) Landsat NDMI (b) Sentinel 2 NDMI, (c) Sentinel 1, (d) L8+ MOD NDVI.
![Figure 7. Length of the drought estimated in 2017 from (a) Landsat NDMI (b) Sentinel 2 NDMI, (c) Sentinel 1, (d) L8+ MOD NDVI.](/cms/asset/87c2af20-1e32-49f9-a9e9-0068baad5bcb/tgrs_a_1778332_f0007_oc.jpg)
Figure 8. Spatially explicit drought mapping series based on Landsat time-series in June, July, and August during two sub-optimal growing seasons (a)-(c) in 2015 and (d)-(f) in 2017.
![Figure 8. Spatially explicit drought mapping series based on Landsat time-series in June, July, and August during two sub-optimal growing seasons (a)-(c) in 2015 and (d)-(f) in 2017.](/cms/asset/bcad7c4a-0981-4fdb-a7af-e725f287fece/tgrs_a_1778332_f0008_b.gif)
Data availability statement
The raw imagery is available from the Google Earth Engine data catalog (https://developers.google.com/earth-engine/datasets) (Landsat 8 Surface Reflectance, MOD09Q1.006 Terra Surface Reflectance, Sentinel-2 MSI, Sentinel-1 SAR GRD). Sharing of supporting in-situ datasets is subject to third party permission. They may be available on request providing permission is granted by the corresponding organizations.