A review of time domain reflectometry (TDR) applications in porous media

H He, K Aogu, M Li, J Xu, W Sheng, SB Jones… - Advances in …, 2021 - Elsevier
Time domain reflectometry (TDR) is the most widely used non-destructive method to
determine the water content of soils and other porous media. TDR equipment can be …

Machine learning in photosynthesis: Prospects on sustainable crop development

R Varghese, AK Cherukuri, NH Doddrell, CGP Doss… - Plant Science, 2023 - Elsevier
Improving photosynthesis is a promising avenue to increase food security. Studying
photosynthetic traits with the aim to improve efficiency has been one of many strategies to …

2019 年中国陆表定量遥感发展综述

梁顺林, 白瑞, 陈晓娜, 程洁, 范闻捷, 何涛, 贾坤… - 遥感学报, 2021 - ygxb.ac.cn
为了更好地了解中国定量遥感的发展态势和加强同行之间的信息交流, 根据中国学者2019
年发表的SCI 检索论文和部分中文论文, 对陆表定量遥感的核心进展进行了总结 …

Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest

J Cai, K Xu, Y Zhu, F Hu, L Li - Applied energy, 2020 - Elsevier
Carbon balance is essential to keep ecosystems sustainable and healthy. Net ecosystem
carbon exchange (NEE), which is affected by a bunch of meteorological variables to different …

Characterizing legacy nitrogen-induced time lags in riverine nitrogen reduction for the Songhuajiang River Basin: Source analysis, spatio-seasonal patterns, and …

Y Gao, Y Tian, W Zhan, L Li, H Sun, T Zhao, H Zhang… - Water Research, 2023 - Elsevier
Legacy nitrogen (N) originating from net N inputs (NNI) may pose ongoing threats to riverine
water quality worldwide and even cause serious time-lags between water quality restoration …

Upscaling net ecosystem exchange over heterogeneous landscapes with machine learning

O Reitz, A Graf, M Schmidt, G Ketzler… - Journal of …, 2021 - Wiley Online Library
This paper discusses different feature selection methods and CO2 flux data sets with a
varying quality‐quantity balance for the application of a Random Forest model to predict …

Recent advancements in cyclodextrin-based adsorbents for the removal of hazardous pollutants from waters

SEZ Syeda, D Nowacka, MS Khan, AM Skwierawska - Polymers, 2022 - mdpi.com
Water is an essential substance for the survival on Earth of all living organisms. However,
population growth has disturbed the natural phenomenon of living, due to industrial growth …

[HTML][HTML] A 1 km global carbon flux dataset using in situ measurements and deep learning

W Shangguan, Z Xiong, V Nourani, Q Li, X Lu, L Li… - Forests, 2023 - mdpi.com
Global carbon fluxes describe the carbon exchange between land and atmosphere.
However, already available global carbon fluxes datasets have not been adjusted by the …

Modeling the daytime net primary productivity of maize at the canopy scale based on UAV multispectral imagery and machine learning

M Peng, W Han, C Li, X Yao, G Shao - Journal of Cleaner Production, 2022 - Elsevier
Net primary productivity (NPP) is an important index to evaluate the carbon absorption
capacity in agricultural ecosystems, timely and accurate spatial–temporal variations of NPP …

A framework for estimating actual evapotranspiration at weather stations without flux observations by combining data from MODIS and flux towers through a machine …

C Zhang, G Luo, O Hellwich, C Chen, W Zhang… - Journal of …, 2021 - Elsevier
The scarcity of site-scale actual evapotranspiration (ET) measurements poses a challenge
for modelling and verifying regional ET. Taking the grassland ecosystem in arid and semi …