Comparison of leaf chlorophyll content retrieval performance of citrus using FOD and CWT methods with field-based full-spectrum hyperspectral reflectance data

B Xiao, S Li, S Dou, H He, B Fu, T Zhang, W Sun… - … and Electronics in …, 2024 - Elsevier
Citrus is one of the most economically valuable fruit trees in the world, for which leaf
chlorophyll content (LCC) serves as a crucial indicator for evaluating its growth and health …

[HTML][HTML] Exploring the capability of Gaofen-5 hyperspectral data for assessing soil salinity risks

X Ge, J Ding, D Teng, B Xie, X Zhang, J Wang… - International Journal of …, 2022 - Elsevier
Soil salinization has hampered the achievement of sustainable development goals (SDGs)
in many countries worldwide. Several countries have recently launched hyperspectral …

Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region

X Ge, J Ding, X Jin, J Wang, X Chen, X Li, J Liu, B Xie - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …

Prediction of soil salinity parameters using machine learning models in an arid region of northwest China

C Xiao, Q Ji, J Chen, F Zhang, Y Li, J Fan, X Hou… - … and Electronics in …, 2023 - Elsevier
Accurate estimation of soil ions composition is of great significance for preventing soil
salinization and guiding crop irrigation. The traditional laboratory measurement of ions …

Enhanced silicate weathering accelerates forest carbon sequestration by stimulating the soil mineral carbon pump

T Xu, Z Yuan, S Vicca, DS Goll, G Li, L Lin… - Global Change …, 2024 - Wiley Online Library
Enhanced silicate rock weathering (ERW) is an emerging strategy for carbon dioxide
removal (CDR) from the atmosphere to mitigate anthropogenic climate change. ERW aims at …

A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China

Y Wang, S Chen, Y Hong, B Hu, J Peng… - Computers and Electronics …, 2023 - Elsevier
Soil organic carbon (SOC) plays an important role in soil functioning and also global C
balance. Visible-near-infrared (Vis-NIR) spectroscopy can be regarded as a cost-effective …

[HTML][HTML] Estimation of soil inorganic carbon with visible near-infrared spectroscopy coupling of variable selection and deep learning in arid region of China

Z Bai, S Chen, Y Hong, B Hu, D Luo, J Peng, Z Shi - Geoderma, 2023 - Elsevier
Soil inorganic carbon (SIC) is the primary component of the soil carbon pool in arid and
semiarid regions and strongly impacts the global carbon cycle, ecosystem services, and soil …

[HTML][HTML] Simultaneous estimation of multiple soil properties under moist conditions using fractional-order derivative of vis-NIR spectra and deep learning

Y Liu, Y Lu, D Chen, W Zheng, Y Ma, X Pan - Geoderma, 2023 - Elsevier
The application of visible and near-infrared (vis-NIR) spectroscopy for predicting soil
properties presents a cost-effective and time-efficient approach for evaluating various soil …

Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative

C Yang, M Feng, L Song, B Jing, Y Xie, C Wang… - … and Electronics in …, 2022 - Elsevier
Realizing the real-time nondestructive monitoring of soil total nitrogen (STN) content is an
important task to promote precision agriculture development. In this study, a water regulation …

[HTML][HTML] The inversion of arid-coastal cultivated soil salinity using explainable machine learning and Sentinel-2

P Jia, J Zhang, Y Liang, S Zhang, K Jia, X Zhao - Ecological Indicators, 2024 - Elsevier
The escalating salinization of cultivated soil poses a significant threat to the ecological
environment. It is imperative to establish a monitoring system and mitigate the spread of …