2020
DOI: 10.3390/agronomy10050641
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Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications

Abstract: The use of satellites to monitor crops and support their management is gathering increasing attention. The improved temporal, spatial, and spectral resolution of the European Space Agency (ESA) launched Sentinel-2 A + B twin platform is paving the way to their popularization in precision agriculture. Besides the Sentinel-2 A + B constellation technical features the open-access nature of the information they generate, and the available support software are a significant improvement for agricultural monitoring. … Show more

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Cited by 265 publications
(175 citation statements)
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“…Basically, plants interact with incident solar radiation by absorbing, transmitting, and/or reflecting electromagnetic radiation. The reflected radiation contained information about the plants' biophysical composition and physiological status and is measured with multispectral sensors [34]. In this study, NDVI and NDRE were computed using ArcMap software.…”
Section: Vegetation Indices (Ndvi and Ndre) Transformationsmentioning
confidence: 99%
“…Basically, plants interact with incident solar radiation by absorbing, transmitting, and/or reflecting electromagnetic radiation. The reflected radiation contained information about the plants' biophysical composition and physiological status and is measured with multispectral sensors [34]. In this study, NDVI and NDRE were computed using ArcMap software.…”
Section: Vegetation Indices (Ndvi and Ndre) Transformationsmentioning
confidence: 99%
“…In recent years, remote sensing has been promoted as a means in precision agriculture for detailed spatio-temporal monitoring of crop dynamics [27,28]. A particular focus at present is the use of satellite imagery for precision agricultural practices due to the images' fine spatial, spectral, and temporal resolution [28]. Moreover, high-resolution unmanned aerial vehicle (UAV)-based imagery can be used to address the data gap in satellite products suffering from cloud coverage [29].…”
Section: Introductionmentioning
confidence: 99%
“… Greenwood et al (2016) reviewed the use and application of various sensors, imaging, and other emerging technologies concerning extensive beef production, and González et al (2018) and Halachmi et al (2019) further discussed the attributes of these technologies for livestock production in general. The range of remote, near real-time monitoring technologies being developed or applied or with potential applications for free-ranging livestock and extensive grazing and foraging environments is increasing rapidly and include 1) in-field fixed and ground-, aerial-, and satellite-based measurement of pastures, invasive weeds, and soil, water, and greenhouse gas monitoring using sensors, photogrammetry ( Bloch et al, 2019 ), or other technologies including LiDAR ( Fernández-Quintanilla et al, 2018 ; Reinermann et al, 2020 ; Segarra et al, 2020 ; Weiss et al, 2020 ); 2) multi-channel, satellite-based spectrometry ( Segarra et al, 2020 ), such as WorldView-2 Satellite Sensor ( https://www.satimagingcorp.com/satellite-sensors/worldview-2/ ), which may be coupled with weather and soil grids to model and predict pasture biomass components and to guide grazing management decisions for sheep and cattle ( http://grazingapp.com.au/ ; Badgery et al, 2017 ); 3) body composition ( McPhee et al, 2017 ; Miller et al, 2019 ; Zhao et al, 2020 ) and physiological assessments ( Beiderman et al, 2014 ), including thermal imaging ( Halachmi et al, 2008 , 2013 ) to assess body temperature ( González et al, 2013 ) using devices at, or fixed to, handling facilities; 4) automated in-field liveweight measurement ( Nir et al, 2018 ) and drafting of livestock coupled with radio frequency identification ( RFID ) to determine individual or herd liveweight and growth of cattle ( Charmley et al, 2006 ; González et al, 2014 , 2018 ) and sheep ( Brown et al, 2015 ; González-García et al, 2018a , 2018b ); 5) virtual fencing using global positioning system ( GPS )-enabled collars and a mobile phone app ( https://www.agersens.com/ ) to remotely fence, move and monitor animals, and control herd or flock access to pastures and environmentally sensitive areas without the need for conventional fencing ( Campbell et al, 2019 , 2020 ); 6) on-animal devices to monitor location, activity, and behaviors in grazing and foraging environments ( Dobos et al, 2...…”
Section: Precision Livestock Farmingmentioning
confidence: 99%