2 citations · 4 across the 7 of their papers we have counts for
7 papers
Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization
Weiying Zhao, Aleksei Unagaev, Natalia Efremova
Soil organic carbon (SOC) monitoring often relies on selecting representative field sampling locations based on environmental covariates. We propose a novel hybrid methodology that…
Prediction of Sentinel-2 multi-band imagery with attention BiLSTM for continuous earth surface monitoring
Weiying Zhao, Natalia Efremova
Continuous monitoring of crops and forecasting crop conditions through time series analysis is crucial for effective agricultural management. This study proposes a framework based…
Soil nitrogen forecasting from environmental variables provided by multisensor remote sensing images
Weiying Zhao, Ganzorig Chuluunbat, Aleksei Unagaev +1
This study introduces a framework for forecasting soil nitrogen content, leveraging multi-modal data, including multi-sensor remote sensing images and advanced machine learning met…
Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model
Weiying Zhao, Natalia Efremova
Early detection and management of grapevine diseases are important in pursuing sustainable viticulture. This paper introduces a novel framework leveraging the TabPFN model to forec…
Patch-based adaptive temporal filter and residual evaluation
Weiying Zhao, Paul Riot, Charles-Alban Deledalle +3
In coherent imaging systems, speckle is a signal-dependent noise that visually strongly degrades images' appearance. A huge amount of SAR data has been acquired from different sens…
Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network
Weiying Zhao, Natalia Efremova
Soil organic carbon (SOC) plays a pivotal role in the global carbon cycle, impacting climate dynamics and necessitating accurate estimation for sustainable land and agricultural ma…
Multitemporal SAR images change detection and visualization using RABASAR and simplified GLR
Weiying Zhao, Charles-Alban Deledalle, Loïc Denis +3
Understanding the state of changed areas requires that precise information be given about the changes. Thus, detecting different kinds of changes is important for land surface moni…