Abstract
Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire in a fast and easy way field data for precision agriculture applications. This field of study is rapidly increasing due to the benefits and advantages for farm resources management, particularly for studying crop health. This paper reports some experiences related to the analysis of cultivations (vineyards and tomatoes) with Tetracam multispectral data. The Tetracam camera was mounted on a multi-rotor hexacopter. The multispectral data were processed with a photogrammetric pipeline to create triband orthoimages of the surveyed sites. Those orthoimages were employed to extract some Vegetation Indices (VI) such as the Normalized Difference Vegetation Index (NDVI), the Green Normalized Difference Vegetation Index (GNDVI), and the Soil Adjusted Vegetation Index (SAVI), examining the vegetation vigor for each crop. The paper demonstrates the great potential of high-resolution UAV data and photogrammetric techniques applied in the agriculture framework to collect multispectral images and evaluate different VI, suggesting that these instruments represent a fast, reliable, and cost-effective resource in crop assessment for precision farming applications.
Highlights
Nowadays Geomatics, with its primary 3D surveying and modeling techniques, i.e., remote sensing, photogrammetry, and laser scanning, is being used in many fields of study with profitable results
The Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), and Soil Adjusted Vegetation Index (SAVI) indices were computed on the available orthoimage and the extracted Vegetation Indices (VI) maps are shown on Figure 12
This paper reports some analyses of Unmanned Aerial Vehicles (UAV)-based precision farming applications, demonstrating the great potential of high-resolution UAV data and photogrammetric techniques applied in the agriculture framework to collect multispectral images (G, R, near infrared (NIR)) and evaluate different Vegetation Indices (VI)
Summary
Nowadays Geomatics, with its primary 3D surveying and modeling techniques, i.e., remote sensing, photogrammetry, and laser scanning, is being used in many fields of study with profitable results. The primary platforms used to obtain remote images of Earth’s surface were satellites and piloted aircrafts, but these instruments frequently do not deliver adequate spatial and temporal resolutions [4] Nowadays these difficulties can be overcome using low-cost and flexible unmanned platforms such as Unmanned Aerial Vehicles (UAV)— called Remotely Piloted Aircraft Systems (RPAS) or Unmanned Aircraft Systems (UAS) [5,6]. UAVs can be used to study the reaction of some crops to a new pesticide, as the data can be and quickly examined in a quantitative way, with high-definition observations This process can reliably describe the ground situation and overcome the costs of ground inspections [4]. Data Acquisition very low medium high very high, for high-res stereo imagery
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