Guido Lemoine
Biographic Data
| ID | 6448163 |
|---|---|
| NAME | Guido Lemoine |
| GIVEN NAMES | Guido |
| FAMILY NAME | Lemoine |
| SIGNATURE | LEMOINE G |
| AFFILIATIONS | Joint Research Centre |
| ORCID | 0000-0002-2734-4538 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Using free remotely sensed data to assess war-induced damage to agricultural cultivation
Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security
We use a 4-year panel (2019–2022) of 10,125 village councils in Ukraine to estimate effects of the war started by Russia on area and expected yield of winter crops aggregated up from the field level. Satellite imagery is used to provide information on direct damage to agricultural fields; classify crop cover using machine learning; and compute the Normalized Difference Vegetation Index (NDVI) for winter cereal fields as a proxy for yield. Without…
Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security
We use a 4-year panel (2019–2022) of 10,125 village councils in Ukraine to estimate effects of the war started by Russia on area and expected yield of winter crops aggregated up from the field level. Satellite imagery is used to provide information on direct damage to agricultural fields; classify crop cover using machine learning; and compute the Normalized Difference Vegetation Index (NDVI) for winter cereal fields as a proxy for yield. Without…
Using free remotely sensed data to assess war-induced damage to agricultural cultivation
Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security
We use a 4-year panel (2019–2022) of 10,125 village councils in Ukraine to estimate effects of the war started by Russia on area and expected yield of winter crops aggregated up from the field level. Satellite imagery is used to provide information on direct damage to agricultural fields; classify crop cover using machine learning; and compute the Normalized Difference Vegetation Index (NDVI) for winter cereal fields as a proxy for yield. Without…
Using free remotely sensed data to assess war-induced damage to agricultural cultivation
Agriculture (2 works) · Environmental and Biological Research in Conflict Zones (2 works) · Agricultural economics (1 work) · Agricultural productivity (1 work) · Agriculture Market Analysis Ukraine (1 work) · Agronomy (1 work) · Biology (1 work) · Civil Conflict (1 work) · Complement (music (1 work) · Crop (1 work)