Avoiding Mistakes in Drone Usage in Participatory Mapping: Methodological Considerations during the Pandemic

IF 1.7 Q2 FORESTRY
Naufal Naufal, A. Asriadi, Sutrisno Absar
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引用次数: 3

Abstract

Participatory mapping has continued to evolve with the onset of new methodologies and technology. Conventional methods for sketching have now expanded to incorporate the use of drone imagery and other sophisticated mapping approaches as a base map. However, the use of ultra-high resolution drone imagery does not mean that it will facilitate more participatory processes nor improve the quality of data and uses of information. Indeed, it has long been known that ultra-high spatial resolution can cause misinterpretation.   During COVID-19, innovations are emerging to apply more remote technologies in participatory mapping. Mobility concerns, requirements, and preferences for physical distancing discourages active participation of local communities and are especially complex in contexts involving Indigenous People. This paper specifically explores the mistakes that can arise from over-reliance on employing drones as a tool in participatory mapping methods.  This paper is based on a case study of participatory mapping conducted at 43 villages (around forest area) of Central Sulawesi Province and West Sulawesi Province. The participatory mapping was carried out by the Sulawesi Community Foundation (SCF) from 2019-2021. The result of the study found at least six signs of potentially negative outcomes from the use of ultra-high resolution drone imagery, starting from disorientation, misperception over the periods of drone acquisition, homogeneous land cover conditions, similar types of plants, numerous signs of nature, and labeling affixed on map. We also encourage the development of ultra-high-resolution drone imagery to take place under certain conditions and see its role as an interpretation dictionary or as a targeted tool in local contexts. In addition, we found that the level of active participation in participatory mapping during the Pandemic was higher than before the pandemic but requires some improvisations in meeting design
在参与式制图中避免无人机使用错误:大流行期间的方法学考虑
随着新方法和新技术的出现,参与式制图继续发展。传统的素描方法现在已经扩展到使用无人机图像和其他复杂的制图方法作为底图。然而,超高分辨率无人机图像的使用并不意味着它将促进更多的参与性进程,也不意味着它将提高数据质量和信息的使用。事实上,人们早就知道超高空间分辨率会导致误解。在2019冠状病毒病期间,正在出现将更多远程技术应用于参与式测绘的创新。对机动性的关注、要求和对保持身体距离的偏好阻碍了当地社区的积极参与,在涉及土著人民的情况下尤其复杂。本文专门探讨了在参与式测绘方法中过度依赖使用无人机作为工具可能产生的错误。本文基于在中苏拉威西省和西苏拉威西省43个村庄(森林周围)进行的参与式测绘案例研究。参与测绘由苏拉威西社区基金会(SCF)于2019-2021年进行。研究结果发现,使用超高分辨率无人机图像至少有六种潜在的负面结果,包括迷失方向、无人机获取期间的误解、同质的土地覆盖条件、相似类型的植物、众多的自然迹象以及在地图上粘贴的标签。我们还鼓励在特定条件下开发超高分辨率无人机图像,并将其作为解释词典或在当地环境中作为有针对性的工具。此外,我们发现大流行期间参与式测绘的积极参与程度高于大流行前,但需要在会议设计中进行一些即兴创作
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来源期刊
Forest and Society
Forest and Society FORESTRY-
CiteScore
4.60
自引率
35.30%
发文量
37
审稿时长
23 weeks
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