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

Naufal, Naufal; Asriadi, Andi; Absar, Sutrisno

doi:10.24259/fs.v6i1.14117

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…The interview process was noted and recorded, and each question asked is an open question type about the main topic that occurred between 2009 and 2020. While observations are made to review land use conditions and topography including verifying data/information that has been collected previously, either from interviews or observations using satellite imagery and drones to see details of land cover (Naufal et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Adaptation From Maladaptation: A Case study of Community-Based Initiatives of the Saddang Watershed

Naufal

Mappiasse

Nasir³

2023

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Over the last few decades, numerous countries have invested vast sums of money and resources in addressing the effects of climate change through adaptation and mitigation measures. Part of these actions, however, resulted in maladaptation. This research investigates the adaptation response to climate change that (potentially) becomes maladaptation for both upstream and downstream watershed communities. This research uses a watershed approach located in the Saddang watershed, one of Indonesia's priority watersheds. The primary data were obtained from observation and in-depth interviews with villagers directly affected by extreme weather (droughts and floods) occurred between 2009 and 2020. The examination of satellite imagery yielded secondary data that revealed changes in land cover, sedimentation, and river flow. This study reveals that by applying a watershed approach, forms of maladaptation are found in the upstream area and have detrimental effects not only on the area itself, but also to the downstream. The upstream deforestation occurring in the period was closely related to the adaptation responses (maladaptation) to the effects of a long drought, which is likely to form a vicious circle between adaptation and exacerbating the impacts of climate change in the coming years. In addition, upstream maladaptations make downstream areas more vulnerable: they divert and create new hazards, and therefore vulnerability of other groups, although some positive examples of adaptation are also found downstream. Programs labeled "climate resilience" with increased food security are applied in both upstream and downstream regions, triggering maladaptation that has a wider impact and illustrating the non-consolidation of adaptation actions that take into account a watershed as a distinct landscape.

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Section: Methodsmentioning

confidence: 99%

Adaptation From Maladaptation: A Case study of Community-Based Initiatives of the Saddang Watershed

Naufal

Mappiasse

Nasir³

2023

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“…However, it is important to note that this result can be influenced by the type of land cover and land use. Adjustments to the ease of mapping may be necessary in cases of homogeneous land cover [57].…”

Section: Simplicitymentioning

confidence: 99%

The SmartLandMaps Approach for Participatory Land Rights Mapping

Lindner,

Degbelo,

Vassányi

et al. 2023

Land

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Millions of formal and informal land rights are still undocumented worldwide and there is a need for scalable techniques to facilitate that documentation. In this context, sketch mapping based on printed high-resolution satellite or aerial imagery is being promoted as a fit-for-purpose land administration method and can be seen as a promising way to collect cadastral and land use information with the community in a rapid and cost-effective manner. The main disadvantage of paper-based mapping is the need for digitization to facilitate the integration with existing land administration information systems and the sustainable use of the data. Currently, this digitization is mostly done manually, which is time-consuming and error-prone. This article presents the SmartLandMaps approach to land rights mapping and digitization to address this gap. The recording involves the use of sketches during participatory mapping activities to delineate parcel boundaries, and the use of mobile phones to collect attribute information about spatial units and land rights holders. The digitization involves the use of photogrammetric techniques to derive a digital representation from the annotated paper maps, and the use of computer vision techniques to automate the extraction of parcel boundaries and stickers from raster maps. The approach was deployed in four scenarios across Africa, revealing its simplicity, versatility, efficiency, and cost-effectiveness. It can be regarded as a scalable alternative to traditional paper-based participatory land rights mapping.

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“…Perbedaan hasil observasi lapangan dengan hasil analisis kesehatan hutan mangrove dapat diartikan adanya pengaruh beberapa faktor, yakni perbedaan rentang waktu perekaman citra yang digunakan untuk menganalisis indeks vegetasi dengan waktu observasi lapangan. Citra resolusi tinggi tidak selamanya mempermudah proses interpretasi karena terdapat peluang kesalahan, di antaranya adalah pemindahan waktu pengambilan gambar dan banyaknya tanda alam yang serupa (Naufal et al 2022).…”

Section: Validasi Kesehatan Mangrove Dengan Teknik Forest Health Moni...unclassified

Distribution of mangrove health in the coastal area of Maros Regency in 2021 based on Sentinel-2 satellite imagery

Mappiasse

Djafar

Asra³

2022

JPKW

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Changes in the area of mangroves in the coastal area of Maros Regency have been degraded from year to year. Various problems that often occur cause a decrease in the distribution and quality of mangrove community health. This happens because there is still pollution and external disturbances which make the quality of the mangroves decrease. Therefore, it is important to know the condition of mangrove distribution to find the latest information and baseline data for area managers. The purpose of this study was to obtain information on the extent and type of mangrove health, as well as identify the types of mangrove damage in the coastal area of Maros Regency in 2021. This research method used (1) supervised classification, to obtain mangrove distribution, (2) analysis of mangrove health using the normalized difference algorithm vegetation Index, (3) map overlay, mangrove distribution map, administrative map, and mangrove health index map, (4) validation of mangrove health data through an assessment of mangrove conditions based on the distribution of observational plots in a proportionate stratified with random sampling. Mangrove areas are found in the coastal areas of Maros Regency and are scattered in Marusu District, Maros Baru District, Lau District, Bontoa District with an area of 131.87 ha, 95.59 ha, 85.37 ha, and 60.01 ha, respectively. Mangrove health is divided into 5 categories, namely excellent, good, normal, bad, and awful with an area of 100.73 ha, 240.43 ha, 1.99 ha, 9.5 ha, and 20.2 ha, respectively. While mangrove damage based on 30 sample points, 6 types of damage were identified, namely changed leaves, damaged shoot leaves and shoots, broken/dead branches, open wounds, resinosis, and broken stems with percentages of 29.91%, 19.63%, 17.76%, 16.82%, 12.15%, and 3.74% respectively.

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

Cited by 4 publications

References 28 publications

Adaptation From Maladaptation: A Case study of Community-Based Initiatives of the Saddang Watershed

Adaptation From Maladaptation: A Case study of Community-Based Initiatives of the Saddang Watershed

The SmartLandMaps Approach for Participatory Land Rights Mapping

Distribution of mangrove health in the coastal area of Maros Regency in 2021 based on Sentinel-2 satellite imagery

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