Estimating the Number of Harvests Per Rice Paddy Field
| Autor: | Rick Chartrand, Dylan Rich, Kornelijus Survila, Caitlin Kontgis |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences 0208 environmental biotechnology Tropics Leverage (statistics) Paddy field Environmental science 02 engineering and technology Agricultural engineering 01 natural sciences 020801 environmental engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| Popis: | The European Space Agency’s Sentinel 1 satellite acquires global synthetic aperture radar (SAR) data, making it particularly well-suited for analyzing tropical regions that may be covered in clouds and therefore concealed from optical data. Here, we focus our attention on rice, a predominant crop in the tropics, and leverage Sentinel 1 data to identify field boundaries, classify fields as rice or not rice, and estimate the number of times each rice field is harvested during a year. Using the Descartes Labs Platform to conduct this analysis allows us to scale our models to run across Asia, providing a region-wide analysis of rice extent and management. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|