UAV-derived data for mapping change on a swidden agriculture plot: preliminary results from a pilot study
| Autor: | Yogita Karale, Esan Hamer, Anthony R. Cummings, Victor Captain, Garvin R. Cummings, Zacharias Norman, Persaud Moses |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Agroforestry business.industry 0211 other engineering and technologies 02 engineering and technology Vegetation 01 natural sciences Plot (graphics) Geography Agriculture General Earth and Planetary Sciences Agricultural system business Cartography Derived Data 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Remote Sensing. 38:2066-2082 |
| ISSN: | 1366-5901 0143-1161 |
| DOI: | 10.1080/01431161.2017.1295487 |
| Popis: | Swidden agriculture, or the continuing agricultural system in which clearings are cropped for shorter periods than they are fallowed, landscapes have been described as ‘difficult-to-map’ because they host a high variety of land-cover types. Consequently, satellite-borne remotely sensed data have not proven overwhelmingly successful in detecting and measuring change within these landscapes. We utilize data derived from an optical sensor carried on-board an unmanned aerial vehicles UAVs to measure the change on a swidden agriculture plot over a 4 month period in Guyana. UAVs were built with indigenous farmers who were trained in their operation to collect data over the swidden plot. A two-class classification was developed to quantify the change in both cultivated and naturally occurring vegetation. We found that non-vegetation surfaces rapidly decreased over the 4 months, declining from 79.42% in June to 69.69% in September. Vegetation recolonization of the swidden crop was particularly the cassava crop planted by the Makushi farmer. While our analysis was completed over a single swidden plot, our work demonstrated that UAVs could play a role in mapping swidden landscapes and change the perception that they are difficult to map. Local people involvement was critical to mapping their landscapes. |
| Databáze: | OpenAIRE |
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