Evaluation of total nitrogen in water via airborne hyperspectral data: potential of fractional order discretization algorithm and discrete wavelet transform analysis
Controlling and managing surface source pollution depends on the rapid monitoring of total
nitrogen in water. However, the complex factors affecting water quality (plant shading and …
nitrogen in water. However, the complex factors affecting water quality (plant shading and …
Estimating carbon, nitrogen, and phosphorus contents of west–east grassland transect in Inner Mongolia based on Sentinel-2 and meteorological data
H Pang, A Zhang, S Yin, J Zhang, G Dong, N He… - Remote Sensing, 2022 - mdpi.com
Estimating the carbon (C), nitrogen (N), and phosphorus (P) contents of a large-span
grassland transect is essential for evaluating ecosystem functioning and monitoring …
grassland transect is essential for evaluating ecosystem functioning and monitoring …
Monitoring soil nutrients using machine learning based on UAV hyperspectral remote sensing
K Liu, Y Wang, Z Peng, X Xu, J Liu, Y Song… - … Journal of Remote …, 2024 - Taylor & Francis
Unmanned aerial vehicles (UAV) are rapidly evolving experimental platforms that play an
important role in remote sensing. In this study, we investigated a machine learning method …
important role in remote sensing. In this study, we investigated a machine learning method …
Construction of spectral index based on multi-angle spectral data for estimating cotton leaf nitrogen concentration
J Wang, H Wang, T Tian, J Cui, X Shi, J Song… - … and Electronics in …, 2022 - Elsevier
Rapid, non-destructive, and accurate monitoring is of great significance for determining crop
nitrogen status and improving nitrogen fertilizer management. Multiple angle spectral data …
nitrogen status and improving nitrogen fertilizer management. Multiple angle spectral data …
Hyperspectral analysis and regression modeling of SPAD measurements in leaves of three mangrove species
Mangroves have important roles in regulating climate change, and in reducing the impact of
wind and waves. Analysis of the chlorophyll content of mangroves is important for monitoring …
wind and waves. Analysis of the chlorophyll content of mangroves is important for monitoring …
Hyperspectral inversion of soil carbon and nutrient contents in the yellow river delta wetland
Hyperspectral inversion techniques can facilitate soil quality monitoring and evaluation. In
this study, the Yellow River Delta Wetland Nature Reserve was used as the study area. By …
this study, the Yellow River Delta Wetland Nature Reserve was used as the study area. By …
Hyperspectral Inversion Model of Relative Heavy Metal Content in Pennisetum sinese Roxb via EEMD-db3 Algorithm
T Tang, C Chen, W Wu, Y Zhang, C Han, J Li, T Gao… - Remote Sensing, 2023 - mdpi.com
Detection rapidity and model accuracy are the keys to hyperspectral nondestructive testing
technology, especially for Pennisetum sinese Roxb (PsR) due to its extremely high …
technology, especially for Pennisetum sinese Roxb (PsR) due to its extremely high …
Mapping Foliar C, N, and P Concentrations in An Ecological Restoration Area with Mixed Plant Communities Based on LiDAR and Hyperspectral Data
Y Yang, J Dong, J Tang, J Zhao, S Lei, S Zhang… - Remote Sensing, 2024 - mdpi.com
Interactions between carbon (C), nitrogen (N), and phosphorus (P), the vital indicators of
ecological restoration, play an important role in signaling the health of ecosystems. Rapidly …
ecological restoration, play an important role in signaling the health of ecosystems. Rapidly …
Soil Nutrients Inversion in Open‐Pit Coal Mine Reclamation Area of Loess Plateau, China: A Study Based on ZhuHai‐1 Hyperspectral Remote Sensing
H Wang, J Wang, R Ma, W Zhou - Land Degradation & …, 2024 - Wiley Online Library
Soil nutrients are crucial to assess land reclamation quality, and the use of various types of
remote sensing data for soil nutrient inversion has been a key focus for soil monitoring …
remote sensing data for soil nutrient inversion has been a key focus for soil monitoring …
[HTML][HTML] Estimating Aboveground Biomass of Wetland Plant Communities from Hyperspectral Data Based on Fractional-Order Derivatives and Machine Learning
Wetlands, as a crucial component of terrestrial ecosystems, play a significant role in global
ecological services. Aboveground biomass (AGB) is a key indicator of the productivity and …
ecological services. Aboveground biomass (AGB) is a key indicator of the productivity and …