[HTML][HTML] Spatiotemporal change and driving factors of the Eco-Environment quality in the Yangtze River Basin from 2001 to 2019

X Yang, F Meng, P Fu, Y Zhang, Y Liu - Ecological Indicators, 2021 - Elsevier
The Yangtze River Basin has a wide range and complicated topography. In recent years,
under the background of climate and land cover change, the ecological response of the whole …

[HTML][HTML] Time-frequency optimization of RSEI: A case study of Yangtze River Basin

X Yang, F Meng, P Fu, Y Wang, Y Liu - Ecological Indicators, 2022 - Elsevier
Remote Sensing Ecological Index (RSEI) is one of the most widely used ecological quality
assessment indicators. Due to the noise caused by adverse atmoshperic conditions and other …

A new three-band spectral and metal element index for estimating soil arsenic content around the mining area

P Fu, K Yang, F Meng, W Zhang, Y Cui, F Feng… - Process Safety and …, 2022 - Elsevier
Owing to the advantages of fast and non-destructive measurement, visible and near-infrared
reflectance (VNIR) spectra have been widely used in the study of heavy metal pollution. …

Estimating the heavy metal contents in entisols from a mining area based on improved spectral indices and Catboost

P Fu, J Zhang, Z Yuan, J Feng, Y Zhang, F Meng… - Sensors, 2024 - mdpi.com
In the study of the inversion of soil multi-species heavy metal element concentrations using
hyperspectral techniques, the selection of feature bands is very important. However, …

Estimation algorithm for chlorophyll-a concentrations in water from hyperspectral images based on feature derivation and ensemble learning

J Zhang, P Fu, F Meng, X Yang, J Xu, Y Cui - Ecological Informatics, 2022 - Elsevier
Multicollinearity between feature bands is one of the main interferences in the process of
retrieving chlorophyll-a (Chl-a) concentration in water bodies from hyperspectral data. …

[HTML][HTML] A novel spectral analysis method for distinguishing heavy metal stress of maize due to copper and lead: RDA and EMD-PSD

P Fu, W Zhang, K Yang, F Meng - Ecotoxicology and environmental safety, 2020 - Elsevier
Monitoring heavy metal stress in crops via hyperspectral remote sensing technology is an
effective way. A new approach, namely the ratio difference of autocorrelation function first …

Spatio-temporal evolution of urban built-up areas and analysis of driving factors—A comparison of typical cities in north and south China

C Yin, F Meng, X Yang, F Yang, P Fu, G Yao, R Chen - Land Use Policy, 2022 - Elsevier
Urban expansion is an important manifestation of urbanisation. Based on the impervious
surface aggregation density (ISAD) method, this study extracts the urban built-up areas (UBA) …

Instability of remote sensing ecological index and its optimisation for time frequency and scale

X Yang, F Meng, P Fu, J Zhang, Y Liu - Ecological Informatics, 2022 - Elsevier
Evaluating regional ecological environmental quality (EEQ) using remote sensing is important
for achieving sustainable development. The remote sensing ecological index (RSEI) is a …

Attention-aware dynamic self-aggregation network for satellite image time series classification

W Zhang, P Du, P Fu, P Zhang, P Tang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
An effective network structure is essential for the classification of satellite image time series (SITS).
Deep learning models have been widely used for SITS classification and achieved …

Remote sensing inversion on heavy metal content in salinized soil of Yellow River Delta based on Random Forest Regression—a case study of Gudao Town

P Fu, X Li, J Zhang, C Ma, Y Wang, F Meng - Scientific Reports, 2024 - nature.com
To explore the potential of using the mineral alteration information extracted by remote sensing
technology to indirectly estimate the heavy metal content of salinized soil, 23 sampling …