[HTML][HTML] Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery
Retrieval of the phycocyanin concentration (PC), a characteristic pigment of, and proxy for,
cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is …
cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is …
Estimating soil salinity in Pingluo County of China using QuickBird data and soil reflectance spectra
A Sidike, S Zhao, Y Wen - … Journal of Applied Earth Observation and …, 2014 - Elsevier
Soil salinization is a worldwide environmental problem with severe economic and social
consequences. In this paper, estimating the soil salinity of Pingluo County, China by a partial …
consequences. In this paper, estimating the soil salinity of Pingluo County, China by a partial …
Remote estimation of phycocyanin concentration in inland waters based on optical classification
In recent years, under the dual pressure of climate change and human activities, the
cyanobacteria blooms in inland waters have become a threat to global aquatic ecosystems …
cyanobacteria blooms in inland waters have become a threat to global aquatic ecosystems …
Using machine learning algorithms with in situ hyperspectral reflectance data to assess comprehensive water quality of urban rivers
J Cai, J Chen, X Dou, Q Xing - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Remotely sensed hyperspectral data can support more effective water quality monitoring.
Nevertheless, the variability and complexity of urban river water make it hard to retrieve …
Nevertheless, the variability and complexity of urban river water make it hard to retrieve …
Digital mapping of soil organic carbon density using newly developed bare soil spectral indices and deep neural network
Soil organic carbon density (SOCD) is an important parameter of agricultural soils and is
useful for the improvement of environment and agricultural production. Proximal and remote …
useful for the improvement of environment and agricultural production. Proximal and remote …
Enhancing tomato leaf nitrogen analysis through portable NIR spectrometers combined with machine learning and chemometrics
D Abderrahim, S Taoufiq, I Bouchaib… - … and Intelligent Laboratory …, 2023 - Elsevier
Plant-Nitrogen is a vital element that significantly influences plant growth, fruit quality, and
yield. However, excessive Nitrogen (N) fertilizer application can have adverse effects on …
yield. However, excessive Nitrogen (N) fertilizer application can have adverse effects on …
Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
This study aims to evaluate the usefulness and effectiveness of four machine learning (ML)
models for modelling cyanobacteria blue-green algae (CBGA) at two rivers located in the …
models for modelling cyanobacteria blue-green algae (CBGA) at two rivers located in the …
[HTML][HTML] Monitoring phycocyanin concentrations in high-latitude inland lakes using Sentinel-3 OLCI data: The case of Lake Hulun, China
X Wang, C Fang, K Song, L Lyu, Y Li, F Lai, Y Lyu… - Ecological …, 2023 - Elsevier
With the intensification of global warming, eutrophication in lakes at high latitudes of China
has become increasingly severe, with the harm of blue-green algae blooms also on the rise …
has become increasingly severe, with the harm of blue-green algae blooms also on the rise …
[HTML][HTML] Hyperspectral sensing for turbid water quality monitoring in freshwater rivers: empirical relationship between reflectance and turbidity and total solids
Total suspended solid (TSS) is an important water quality parameter. This study was
conducted to test the feasibility of the band combination of hyperspectral sensing for inland …
conducted to test the feasibility of the band combination of hyperspectral sensing for inland …
Impact of spectral resolution on quantifying cyanobacteria in lakes and reservoirs: A machine-learning assessment
Cyanobacterial harmful algal blooms are an increasing threat to coastal and inland waters.
These blooms can be detected using optical radiometers due to the presence of …
These blooms can be detected using optical radiometers due to the presence of …