Publications - Raspberry PI3 multispectral low-cost sensor for UAV based remote sensing. Case study in South-West Niger.pdf

Elena Belcore; Marco Piras; Alessandro Pezzoli; Giovanni Massazza; Maurizio Rosso Published in: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. Date: June 4, 2019 Abstract The technology of UAV (Unmanned Aerial Vehicles) is rapidly improving and UAV-integrated sensors have kept up with it, providing more efficient and effective solutions. One of the most sought-after characteristics of on-board sensors is the low costing associated to good quality of the collected data. This paper proposes a very low-cost multiband sensor developed on a Raspberry device and two Raspberry Pi 3 cameras that can be used in photogrammetry from drone applications. The UAV-integrated radiometric sensor and its performance were tested in in two villages of South-west Niger for the detection of temporary surface water bodies (or Ephemeral water bodies): zones of seasonal stagnant water within villages threatening the viability and people’s health. The Raspberry Pi 3 cameras employed were a regular RGB Pi camera 2 (Red, Green, Blue) and a NoIR Pi 3 camera v2 (regular RGB without IR filter) with 8MPX resolution. The cameras were geometrically calibrated and radiometrically tested before the survey in the field. The results of the photogrammetry elaborations were 4 orthophotos (a RGB and NoIRGB orthophoto for each village). The Normalized Difference Water Index (NDWI) was calculated. The index allowed the localization and the contouring of the temporary surface water bodies present in the villages. The data were checked against the data collected with a Sony (ILCE-5100). Very high correspondence between the different data was detected. Raspberry-based sensors demonstrated to be a valid tool for the data collection in critical areas.

שדה	ערך
עדכון הנתונים האחרון	16 ביולי 2020
עדכון אחרון של נתוני העל	16 ביולי 2020
מועד היצירה	16 ביולי 2020
תצורה	PDF
רישיון	Creative Commons Attribution
Datastore active	False
Has views	False
Id	976d2563-67e0-4b73-b9f5-f04101bf7d9d
Mimetype	application/pdf
Package id	c5af00bc-9e72-42f2-bd13-5f0296fbc05a
Position	19
Size	1.2 MiB
State	active

Raspberry PI3 multispectral low-cost sensor...

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