Jiangui Liu
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View article: A Multimodal Deep Learning Approach for Soil Moisture Downscaling Using Remote Sensing and Weather Data
A Multimodal Deep Learning Approach for Soil Moisture Downscaling Using Remote Sensing and Weather Data Open
Understanding soil moisture (SM) dynamics is crucial for environmental and agricultural applications. While satellite‐based SM products provide extensive coverage, their coarse spatial resolution often fails to capture local SM variability…
View article: A Pan-Cancer Analysis of Natriuretic Peptide Receptor 3 (NPR3) with Clinical Cohort and in vitro Validation
A Pan-Cancer Analysis of Natriuretic Peptide Receptor 3 (NPR3) with Clinical Cohort and in vitro Validation Open
NPR3 servers as a prognostic and immunotherapeutic biomarker in pan-cancer, but its biological role and potential as a therapeutic target warrants further investigation.
Field-Scale Detection of Crop Seeding Date Using Sentinel-1 Coherence Time Series Open
Seeding date plays a crucial role in crop monitoring and yield estimation. Traditional methods, which estimate seeding dates by observing phenological stages such as the start of the season and back-calculating, are often affected by envir…
Using hyperspectral reflectance to detect changes in photosynthetic activity in Atractylodes chinensis leaves as a function of decreasing soil water content Open
Application of hyperspectral reflectance technology to track changes in photosynthetic activity in Atractylodes chinensis (A. chinensis) remains underexplored. This study aimed to investigate the relationship between hyperspectral reflecta…
Projected changes in risks of winter damage to fruit trees and plant hardiness zones in Canada Open
Winter climate conditions, especially extremely low temperatures, constrain the production of fruit trees and other perennial crop species in Canada. Significant decreases in cold extremes under climate change may result in changes in plan…
Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index Open
Zanthoxylum rust (ZR) poses a significant threat to Zanthoxylum bungeanum Maxim.(ZBM) production, impacting both the yield and quality. The lack of current research on ZR using unmanned aerial vehicle (UAV) remote sensing poses a challenge…
Compensatory changes after spinal cord injury in a remyelination deficient mouse model Open
The development of therapeutic strategies to reduce impairments following spinal cord injury (SCI) motivates an active area of research, because there are no effective therapies. One strategy is to address injury‐induced demyelination of s…
Simulating the development and growth of lentil using the CSM‐CROPGRO model Open
The pulse crop lentil ( Lens culinaris Medik.) is often grown in crop rotations to provide nitrogen (N) and water benefits for subsequent crops. Lentil yields vary greatly with environmental factors and management. A reliable crop model fo…
Warmer future climate in Canada—implications for winter survival of perennial forage crops Open
Significant increase in wintertime air temperature, especially the reduced cold extremes under climate change, might be beneficial to the winter survival of perennial crops. However, climate warming could result in less snowfall, reduced s…
View article: Integrating spectral data and phylogeographic patterns to study plant genetic variation: a review
Integrating spectral data and phylogeographic patterns to study plant genetic variation: a review Open
The study of genetic variation is pivotal for understanding plant diversity and evolution. In recent years, remote sensing has played a significant role in phylogeography, facilitating the exploration of intricate relationships among genet…
Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance Open
Genetic variation among populations within plant species can have huge impact on canopy biochemistry and structure across broad spatial scales. Since canopy spectral reflectance is determined largely by canopy biochemistry and structure, s…
RETRIEVAL OF LEAF AREA INDEX AND LEAF CHLOROPHYLL CONTENT FROM HYPERSPECTRAL DATA USING DEEP LEARNING NETWORKS Open
This study aimed to exploit the use of deep learning networks in the retrieval of the biophysical and biochemical parameters of vegetation canopies. Convolutional Neural Network (CNN), network with only fully connected layers, referred as …
Recent Advancement of Synthetic Aperture Radar (SAR) Systems and Their Applications to Crop Growth Monitoring Open
Synthetic aperture radars (SARs) propagate and measure the scattering of energy at microwave frequencies. These wavelengths are sensitive to the dielectric properties and structural characteristics of targets, and less affected by weather …
View article: Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data
Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data Open
We evaluate the potential of using a process-based ecosystem model (BEPS) for crop biomass mapping at 20 m resolution over the research site in Manitoba, western Canada driven by spatially explicit leaf area index (LAI) retrieved from Sent…
Adaptable Flight Line Planning for Airborne Photogrammetry Using DEM Open
Flight line planning is the first step in an aerial photography campaign. Its two key parameters, ground sampling distance (GSD), and overlap should be designed carefully as they will impact subsequent flying workload and even the final ma…
Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model Open
Green leaf area index (LAI) is an important variable related to crop growth. Accurate and timely information on LAI is essential for developing suitable field management strategies to mitigate risk and boost yield. Several remote sensing (…
View article: Assessment of Cornfield LAI Retrieved from Multi-Source Satellite Data Using Continuous Field LAI Measurements Based on a Wireless Sensor Network
Assessment of Cornfield LAI Retrieved from Multi-Source Satellite Data Using Continuous Field LAI Measurements Based on a Wireless Sensor Network Open
Accurate and continuous monitoring of leaf area index (LAI), a widely-used vegetation structural parameter, is crucial to characterize crop growth conditions and forecast crop yield. Meanwhile, advancements in collecting field LAI measurem…
View article: Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture Open
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop morphological and physiological status and supporting practices in precision farming. In comparison with multispectral imaging, hyperspectral imaging is a mo…
Atmospherically resistant vegetation water indices using the 970-nm water absorption feature Open
Atmospheric correction can introduce errors in surface spectral reflectance, and hence induces errors in plant water estimation from remote sensing water indices. We intend to develop water indices that are less impacted by atmospheric eff…
Changes in land use and management by farm type and the impact on soil cover in Canada, 1991–2011 Open
A suite of indicators have been developed in Canada to assess and report on the status and trends of agri-environmental performance as impacted by agricultural production activities. The indicators include models that focus on the impact o…
View article: Detection of Crop Seeding and Harvest through Analysis of Time-Series Sentinel-1 Interferometric SAR Data
Detection of Crop Seeding and Harvest through Analysis of Time-Series Sentinel-1 Interferometric SAR Data Open
Synthetic aperture radar (SAR) is more sensitive to the dielectric properties and structure of the targets and less affected by weather conditions than optical sensors, making it more capable of detecting changes induced by management prac…
Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data Open
Most studies have the achieved rapid and accurate determination of soil organic carbon (SOC) using laboratory spectroscopy; however, it remains difficult to map the spatial distribution of SOC. To predict and map SOC at a regional scale, w…
View article: Verifying methane emission estimates from agricultural regions in Eastern Ontario using TROPOMI product
Verifying methane emission estimates from agricultural regions in Eastern Ontario using TROPOMI product Open
The two main sources of CH4 from the agricultural sector are enteric fermentation and manure management systems. Canada uses the IPCC Tier-II methodology to estimate CH4 for its national inventory report of GHG emissions to UNFCCC, which i…
Crop Yield Estimation in the Canadian Prairies Using Terra/MODIS-Derived Crop Metrics Open
We evaluated the utility of Terra/MODIS-derived crop metrics for yield estimation across the Canadian Prairies. This study was undertaken at the Census Agriculture Region (CAR) and the Rural Municipality (RM) of the province of Saskatchewa…
Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery Open
Spatial information on crop nutrient status is central for monitoring vegetation health, plant productivity and managing nutrient optimization programs in agricultural systems. This study maps the spatial variability of leaf chlorophyll co…
Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration Open
Accurate measurement of leaf chlorophyll concentration (LChl) in the field using a portable chlorophyll meter (PCM) is crucial to support methodology development for mapping the spatiotemporal variability of crop nitrogen status using remo…
Crop Yield Estimation Using Time-Series MODIS Data and the Effects of Cropland Masks in Ontario, Canada Open
This study investigated the estimation of grain yields of three major annual crops in Ontario (corn, soybean, and winter wheat) using MODIS reflectance data extracted with a general cropland mask and crop-specific masks. Time-series two-ba…