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Leaf chlorophyll content (LCC) is an important indicator of foliar nitrogen status and photosynthetic capacity. Accurate and timely mapping of LCC will benefit agronomists to guide fertilizer applications and ecologists to improve carbon flux estimation. In recent decades, remote sensing techniques have been widely used to estimate LCC with empirical and physical models.    Physical models are developed based on radiative transfer models that relate LCC to observed reflectance. The common practice of empirical modeling is to establish statistical relationships between LCC and vegetation indices (VIs) based on ground measurements. A recent study developed the LAI-insensitive chlorophyll index (LICI) and established a semi-empirical LICI-based LCC quantification model, which i...
release time: 2023 - 02 - 13
Views:12
PROSDM: Applicability of PROSPECT model coupled with spectral derivatives and similarity metrics to retrieve leaf biochemical traits from bidirectional reflectanceLeaf biochemical traits provide valuable information on understanding plant photosynthetic function, dynamic growth, nutrient cycling, and primary production. Leaf chlorophyll content (Cab), carotenoid content (Cxc), water content (Cw), and dry matter content (Cm) are considered as four main important leaf biochemical traits, which are connected to plant healthy and growth status, such as photosynthesis, nitrogen, stresses, and senes...
release time: 2021 - 12 - 03
Views:20
Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental dataYellow rust, caused by Puccinia striiformis f. sp. Tritici, is a serious disease attacking wheat (Triticum aestivum L.) across the globe. The occurrence of yellow rust can result in severe yield reduction and economic loss. Hyperspectral remote sensing has demonstrated potential in detecting yellow rust, with the majority of studies distinguishing qualitatively between diseased and healthy individuals or performing simple grading of disease sever...
release time: 2021 - 08 - 02
Views:15
ASD | Soil salinity inversion based on differentiated fusion of satellite image and ground spectraSoil salinization is an important limiting factor in agricultural development, ecological security, and sustainable land use. Accurately and rapidly obtaining information related to regional soil salinization and its geographical distribution is a precondition for the rational control and utilization of salinized soil. The traditional method of soil salinity mapping is time consuming and laborious. Ground-based methods, such as those based on electromagnetic induction meters, may not meet the temp...
release time: 2021 - 06 - 02
Views:38
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