Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images
(چکیده مقاله) :
Abstract :
Due to technology development related to agricultural production, aircrafts such as
the Unmanned Aerial Vehicle (UAV) and technologies such as Multispectral
photogrammetry and Remote Sensing, have great potential in supporting some of
the pressing problems faced by agricultural production in terms of analysis and
testing of variables. This paper reports an experience related to the analysis of a
vineyard with multispectral photogrammetry technology and UAVs and it
demonstrates its great potential to analyze the Normalized Difference Vegetation
Index (NDVI), the Near-Infrared Spectroscopy (NIRS) and the Digital Elevation
Model (DEM) applied in the agriculture framework to collect information on the
vegetative state of the crop, soil and plant moisture, and biomass density maps
of. In addition, the collected information is analyzed with the PIX4D Cloud
Computing technology software and its advantages over software that work with
other data processing are highlighted. This research shows, therefore, the
possibility that efficient plantations can be developed with the use of
multispectral photogrammetry and the analysis of digital images from this process.
the Unmanned Aerial Vehicle (UAV) and technologies such as Multispectral
photogrammetry and Remote Sensing, have great potential in supporting some of
the pressing problems faced by agricultural production in terms of analysis and
testing of variables. This paper reports an experience related to the analysis of a
vineyard with multispectral photogrammetry technology and UAVs and it
demonstrates its great potential to analyze the Normalized Difference Vegetation
Index (NDVI), the Near-Infrared Spectroscopy (NIRS) and the Digital Elevation
Model (DEM) applied in the agriculture framework to collect information on the
vegetative state of the crop, soil and plant moisture, and biomass density maps
of. In addition, the collected information is analyzed with the PIX4D Cloud
Computing technology software and its advantages over software that work with
other data processing are highlighted. This research shows, therefore, the
possibility that efficient plantations can be developed with the use of
multispectral photogrammetry and the analysis of digital images from this process.
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار:2019
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 22 صفحه
سال انتشار:2019
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 22 صفحه
Authors / Descriptions(نویسندگان/توضیحات): سال انتشار 2019 - مقاله ISI / نویسندگان: Jose Ramon Saura a, Ana Reyes-Menendez a, Pedro Palos-Sanchez
Sent date(تاریخ ارسال) :
1398/02/27 | 5/17/2019
Number of visits(تعداد بازدید):
930
Key words (کلمات کلیدی):
Computer science, Environmental science, Geoscience
Number of pages(تعداد صفحات) :
22
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