2021
DOI: 10.1590/0001-3765202120200712
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Seasonal behavior of vegetation determined by sensor on an unmanned aerial vehicle

Abstract: Geographic information systems make it possible to obtain fi ne scale maps for environmental monitoring from airborne sensors on aerial platforms, such as unmanned aerial vehicles (UAVs), which offer products with low costs and high spacetime resolution. The present study assessed the performance of an UAV in the evaluation of the seasonal behavior of fi ve vegetation coverages: Coffea spp., Eucalyptus spp., Pinus spp. and two forest remnants. For this, vegetation indices (Excess Green and Excess Red minus Gre… Show more

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Cited by 3 publications
(2 citation statements)
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“…They compared its effectiveness with traditional indices and validated it through different analyses, demonstrating its sensitivity to distinguish between coffee plants ready and not ready for harvest. Felix et al [47] evaluated the seasonal behavior of five vegetation covers, including coffee, using vegetation indices, meteorological data, and surface soil moisture. They highlighted the potential and low cost of RPASs as a support tool for phenological studies, also assisting in validating satelliteimage-derived data.…”
Section: Temporal Evolution Of Research and Characteristics Of The St...mentioning
confidence: 99%
“…They compared its effectiveness with traditional indices and validated it through different analyses, demonstrating its sensitivity to distinguish between coffee plants ready and not ready for harvest. Felix et al [47] evaluated the seasonal behavior of five vegetation covers, including coffee, using vegetation indices, meteorological data, and surface soil moisture. They highlighted the potential and low cost of RPASs as a support tool for phenological studies, also assisting in validating satelliteimage-derived data.…”
Section: Temporal Evolution Of Research and Characteristics Of The St...mentioning
confidence: 99%
“…The dam siltation which results the storage capacity loss is a natural phenomenon and depends on climatic conditions, relief, soil characters and land use (Costea et al, 2022;Felix et al, 2021;Chalise & Kumar, 2020;Andjelkovic et al, 2018). It is accelerated and intensified with human activity such as agricultural practices, grazing and deforestation.…”
Section: Introductionmentioning
confidence: 99%