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Near-infrared sensor

Data collection is the process of collecting and storing high amounts of data from any system. The data results from the calculations by sensors, machines and experiments. They can be weather data, environmental parameters, images etc.

Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV [Farmer]

Paper Introduction Mapping vegetation in crop fields is an important step in remote sensing applications for precision agriculture. Traditional aerial platforms such as planes and satellites are not suitable for these applications due to their low spatial and temporal resolutions. So, an UAV equipped with a commercial camera (visible spectrum) was used for ultra-high resolution… read more »

Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV [Professional]

Paper Introduction Mapping vegetation in crop fields is an important step in remote sensing applications for precision agriculture. Traditional aerial platforms such as planes and satellites are not suitable for these applications due to their low spatial and temporal resolutions. So, an UAV equipped with a commercial camera (visible spectrum) was used for ultra-high resolution… read more »

Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors [Farmer]

Paper Introduction Remote sensing technique has emerged as an effective tool for systematic survey, analysis, and better management of natural resources (land, soil, water, forests, mountains) along with the monitoring of desertification, flood, drought, and landform change. It provides a vast scope to explore, identify, and analyse the natural resources of undeveloped regions. It documents… read more »

Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors [Professional]

Paper Introduction Remote sensing applications in agriculture are presented as a very promising reality, but research is still needed for the correct use of spectral data. A study was done to evaluate the spectral-temporal patterns of eleven wheat cultivars (Triticum aestivum L.). With the help of the GreenSeeker and FieldSpec 4 terrestrial sensors, spectral signatures… read more »

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