Quanjun Jiao
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View article: Robotic retrohepatic IVC thrombectomy with caudate lobectomy: Technique of 3C for T3c tumors
Robotic retrohepatic IVC thrombectomy with caudate lobectomy: Technique of 3C for T3c tumors Open
View article: Robotic-assisted pyeloplasty and percutaneous nephrolithotomy for simultaneous treatment of ureteropelvic junction obstruction and calyx stones: Initial series and stone-free outcomes
Robotic-assisted pyeloplasty and percutaneous nephrolithotomy for simultaneous treatment of ureteropelvic junction obstruction and calyx stones: Initial series and stone-free outcomes Open
View article: Early Detection of Pine Wilt Disease by Combining Pigment and Moisture Content Indices Using UAV-Based Hyperspectral Imagery
Early Detection of Pine Wilt Disease by Combining Pigment and Moisture Content Indices Using UAV-Based Hyperspectral Imagery Open
Pine wilt disease (PWD) is characterized by rapid transmission, high mortality rates, and difficulty in control, resulting in severe and destructive impacts on both the ecological environment and socioeconomic development in China. Due to …
View article: The cmSCOPE Model: A simple adaptation of the SCOPE model to describe the vertically stratified heterogeneity of maize growth and stress dynamics
The cmSCOPE Model: A simple adaptation of the SCOPE model to describe the vertically stratified heterogeneity of maize growth and stress dynamics Open
View article: Response of Ecological Quality to Land Use/Cover Change During Rapid Urbanization of Xiong’an New Area
Response of Ecological Quality to Land Use/Cover Change During Rapid Urbanization of Xiong’an New Area Open
Rapid urbanization facilitates socioeconomic development but also exacerbates land use/cover change (LUCC), significantly impacting ecological environments. Timely, objective, and quantitative assessments of ecological quality changes resu…
View article: A Multispectral Feature Selection Method Based on a Dual-Attention Network for the Accurate Estimation of Fractional Vegetation Cover in Winter Wheat
A Multispectral Feature Selection Method Based on a Dual-Attention Network for the Accurate Estimation of Fractional Vegetation Cover in Winter Wheat Open
Spectral information plays a crucial role in fractional vegetation cover (FVC) estimation, and selecting the appropriate spectral information is essential for improving the accuracy of FVC estimation. Traditionally, spectral feature select…
View article: Invasion of Pine Wilt Disease: A threat to forest carbon storage in China
Invasion of Pine Wilt Disease: A threat to forest carbon storage in China Open
China’s forests, which balance atmospheric carbon (C) levels through photosynthesis, play a crucial role in combating global climate change. The emergence of Pine wilt disease (PWD), caused by the pine wood nematode (PWN, Bursaphelenchus x…
View article: Continuous Monitoring of the Ecological Quality and Its Response to Land Use/Cover Change in Rapid Urbanizing Areas: A Case Study of Xiong’an New Area
Continuous Monitoring of the Ecological Quality and Its Response to Land Use/Cover Change in Rapid Urbanizing Areas: A Case Study of Xiong’an New Area Open
Rapid urbanization has facilitated socioeconomic development but has also exacerbated land use/cover change (LUCC), significantly impacting ecological environments. Timely, objective, and quantitative assessments of ecological quality chan…
View article: A hybrid model coupling PROSAIL and continuous wavelet transform based on multi-angle hyperspectral data improves maize chlorophyll retrieval
A hybrid model coupling PROSAIL and continuous wavelet transform based on multi-angle hyperspectral data improves maize chlorophyll retrieval Open
Chlorophyll is both a cornerstone of plant photosynthesis and an important indicator for assessing crop growth and health. Although many previous studies have explored the use of remote sensing to retrieve chlorophyll content, there is roo…
View article: Machine Learning Algorithms for the Retrieval of Canopy Chlorophyll Content and Leaf Area Index of Crops Using the PROSAIL-D Model with the Adjusted Average Leaf Angle
Machine Learning Algorithms for the Retrieval of Canopy Chlorophyll Content and Leaf Area Index of Crops Using the PROSAIL-D Model with the Adjusted Average Leaf Angle Open
The canopy chlorophyll content (CCC) and leaf area index (LAI) are both essential indicators for crop growth monitoring and yield estimation. The PROSAIL model, which couples the properties optique spectrales des feuilles (PROSPECT) and sc…
View article: Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium- and High-Spatial-Resolution Satellite Images
Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium- and High-Spatial-Resolution Satellite Images Open
Accurate estimation of the leaf or canopy chlorophyll content is crucial for monitoring crop growth conditions. Remote sensing monitoring of crop chlorophyll is a non-destructive, large-area, and real-time method that requires reliable ret…
View article: Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data
Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data Open
Accurate estimation of the maize leaf area index (LAI) and biomass is of great importance in guiding field management and early yield estimation. Physical models and traditional machine learning methods are commonly used for LAI and biomas…
View article: A Random Forest Algorithm for Retrieving Canopy Chlorophyll Content of Wheat and Soybean Trained with PROSAIL Simulations Using Adjusted Average Leaf Angle
A Random Forest Algorithm for Retrieving Canopy Chlorophyll Content of Wheat and Soybean Trained with PROSAIL Simulations Using Adjusted Average Leaf Angle Open
Canopy chlorophyll content (CCC) is an important indicator for crop-growth monitoring and crop productivity estimation. The hybrid method, involving the PROSAIL radiative transfer model and machine learning algorithms, has been widely appl…
View article: Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental data
Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental data Open
Yellow rust, caused by Puccinia striiformis f. sp. Tritici, is a serious disease attacking wheat (Triticum aestivum L.) across the globe. The occurrence of yellow rust can result in severe yield reduction and economic loss. Hyperspectral r…
View article: Improving the Retrieval of Crop Canopy Chlorophyll Content Using Vegetation Index Combinations
Improving the Retrieval of Crop Canopy Chlorophyll Content Using Vegetation Index Combinations Open
Estimates of crop canopy chlorophyll content (CCC) can be used to monitor vegetation productivity, manage crop resources, and control disease and pests. However, making these estimates using conventional ground-based methods is time-consum…
View article: Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index
Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index Open
The accurate retrieval of canopy chlorophyll content (CCC) is essential to the effective monitoring of forest productivity, and environmental stress. However, the clumping index (CI), a vital canopy structural parameter, affects inaccurate…
View article: Atmospherically resistant vegetation water indices using the 970-nm water absorption feature
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…
View article: A Transformed Triangular Vegetation Index for Estimating Winter Wheat Leaf Area Index
A Transformed Triangular Vegetation Index for Estimating Winter Wheat Leaf Area Index Open
Leaf area index (LAI) is a key parameter in plant growth monitoring. For several decades, vegetation indices-based empirical method has been widely-accepted in LAI retrieval. A growing number of spectral indices have been proposed to tailo…