Results 11 to 20 of about 6,804 (186)

Inversion of Mangrove Canopy Leaf Functional Traits on the Qi'ao Island Based on UAV Hyperspectral Remote Sensing

open access: yesRedai dili, 2023
Quantitative studies of mangrove leaf functional traits will help us understand the adaptive evolutionary strategies of mangrove plants and the relationship between mangrove biodiversity and ecosystem functions.
Wang Meng   +7 more
doaj   +1 more source

Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

open access: yesHydrology, 2020
Understanding the variation in the hydrological response of a basin associated with land use changes is essential for developing management strategies for water resources.
Sekela Twisa   +3 more
doaj   +1 more source

Three-Phase-Based Approach to Develop a River Health Prediction and Early Warning System to Guide River Management

open access: yesApplied Sciences, 2019
To effectively manage a river system, systematic tracking and diagnosing the change and risks of a river system are essentially required to efficiently conserve or restore its conditions.
Yongming Chen   +4 more
doaj   +1 more source

Using Field Spectroradiometer to Estimate the Leaf N/P Ratio of Mixed Forest in a Karst Area of Southern China: A Combined Model to Overcome Overfitting

open access: yesRemote Sensing, 2021
The ratio between nitrogen and phosphorus (N/P) in plant leaves has been widely used to assess the availability of nutrients. However, it is challenging to rapidly and accurately estimate the leaf N/P ratio, especially for mixed forest. In this study, we
Wen He   +6 more
doaj   +1 more source

Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals

open access: yesSensors, 2020
Accurate quantitative mineralogical data has significant implications in mining operations. However, quantitative analysis of minerals is challenging for most of the sensor outputs. Thus, it requires advances in data analytics.
Feven Desta, Mike Buxton, Jeroen Jansen
doaj   +1 more source

Estimación de variables esenciales de la vegetación en un ecosistema de dehesa utilizando factores de reflectividad simulados estacionalmente

open access: yesRevista de Teledetección, 2020
Los pastos arbolados y arbustivos son vitales para la producción ganadera extensiva y sostenible, la conservación de la biodiversidad y la provisión de servicios ecosistémicos y se localizan en áreas que serán previsiblemente más afectadas por el cambio ...
M. P. Martín   +7 more
doaj   +1 more source

Estimation and mapping of pasture biomass in Mongolia using machine learning methods

open access: yesGeocarto International, 2023
Mongolian pasture plays an essential role in the national economy. Reliable pasture biomass estimation is indispensable to support the agricultural sector and also sustainable livelihood in the country.
Enkhmanlai Amarsaikhan   +4 more
doaj   +1 more source

Rapid Measurement of Cellulose, Hemicellulose, and Lignin Content in Sargassum horneri by Near-Infrared Spectroscopy and Characteristic Variables Selection Methods

open access: yesMolecules, 2022
Near-infrared (NIR) spectroscopy and characteristic variables selection methods were used to develop a quick method for the determination of cellulose, hemicellulose, and lignin contents in Sargassum horneri.
Ning Ai   +5 more
doaj   +1 more source

SERS-PLSR Analysis of Vaginal Microflora: Towards the Spectral Library of Microorganisms [PDF]

open access: yesInternational Journal of Molecular Sciences, 2022
The accurate identification of microorganisms belonging to vaginal microflora is crucial for establishing which microorganisms are responsible for microbial shifting from beneficial symbiotic to pathogenic bacteria and understanding pathogenesis leading to vaginosis and vaginal infections.
Sylwia Magdalena Berus   +6 more
openaire   +2 more sources

Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method [PDF]

open access: yesRevista Brasileira de Ciência do Solo, 2023
Soil organic carbon (SOC) content is a critical parameter for evaluating soil health. However, high redundancy and invalid information in soil hyperspectral data can reduce the accuracy and stability of SOC prediction models.
Baoyang Liu   +3 more
doaj   +1 more source

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