Disaster Risk Management towards Healthier Soils in Crisis Situations
| Autoři | |
|---|---|
| Rok publikování | 2021 |
| Druh | Konferenční abstrakty |
| Fakulta / Pracoviště MU | |
| Citace | |
| Popis | Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals or heavy machinery. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. We present the frontier approaches of geospatial (Big) data processing based on satellite and sensor data which both aim at the prevention and mitigation phases of disaster risk reduction in agriculture. Two techniques are presented in order to demonstrate the possibilities of geospatial (Big) data collection in agriculture: (1) farm machinery telemetry for providing data about machinery operations on fields; (2) remote sensing for monitoring field spatial variability and crop status by means of freely-available high resolution satellite imagery. The benefits of re-using the techniques in disaster risk reduction processes are discussed, as well as the transferability of agricultural techniques to crisis/emergency management domains. |
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