Optimal band characterization in reformation of hyperspectral indices for species diversity estimation
Sign Up to like & getrecommendations! Published in 2021 at "Physics and Chemistry of The Earth"
DOI: 10.1016/j.pce.2021.103040
Abstract: Abstract Species diversity quantification is a crucial step towards the conservation of biodiversity and healthy ecosystem. The technological advancements and existing limitations of multispectral remote sensing has increased the popularity of hyperspectral remote sensing which… read more here.
Keywords: optimal band; species diversity; hyperspectral indices; estimation ... See more keywords
Retrieval of leaf fuel moisture contents from hyperspectral indices developed from dehydration experiments
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2017.1274571
Abstract: ABSTRACT Fuel moisture content (FMC) is a critical parameter in fire behavior prediction. Although remote sensing is an efficient way to estimate the spatial and temporal variations of FMC, most of the existing spectral indices… read more here.
Keywords: fuel moisture; dehydration experiments; hyperspectral indices; fuel ... See more keywords
Hyperspectral indices data fusion-based machine learning enhanced by MRMR algorithm for estimating maize chlorophyll content
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2024.1419316
Abstract: Accurate estimation of chlorophyll is essential for monitoring maize health and growth, for which hyperspectral imaging provides rich data. In this context, this paper presents an innovative method to estimate maize chlorophyll by combining hyperspectral… read more here.
Keywords: hyperspectral indices; machine; machine learning; chlorophyll content ... See more keywords