Evaluation of total nitrogen in water via airborne hyperspectral data: potential of fractional order discretization algorithm and discrete wavelet transform analysis

J Liu, J Ding, X Ge, J Wang - Remote Sensing, 2021 - mdpi.com
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 …

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 …

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 …

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 …

Hyperspectral analysis and regression modeling of SPAD measurements in leaves of three mangrove species

H Li, L Cui, Z Dou, J Wang, X Zhai, J Li, X Zhao, Y Lei… - Forests, 2023 - mdpi.com
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 …

Hyperspectral inversion of soil carbon and nutrient contents in the yellow river delta wetland

L Nie, Z Dou, L Cui, X Tang, X Zhai, X Zhao, Y Lei, J Li… - Diversity, 2022 - mdpi.com
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 …

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 …

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 …

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 …

[HTML][HTML] Estimating Aboveground Biomass of Wetland Plant Communities from Hyperspectral Data Based on Fractional-Order Derivatives and Machine Learning

H Li, X Tang, L Cui, X Zhai, J Wang, X Zhao, J Li, Y Lei… - Remote Sensing, 2024 - mdpi.com
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 …