Junjie Wang
Orcid: 0000-0003-4839-7724Affiliations:
- Shenzhen University, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, China
- Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen, China
- Wuhan University, School of Resource and Environmental Science, China (former)
According to our database1,
Junjie Wang
authored at least 16 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Evaluating Feature Selection Methods and Machine Learning Algorithms for Mapping Mangrove Forests Using Optical and Synthetic Aperture Radar Data.
Remote. Sens., December, 2023
2022
Tree Species Classification Using Plant Functional Traits and Leaf Spectral Properties along the Vertical Canopy Position.
Remote. Sens., December, 2022
The Assessment of More Suitable Image Spatial Resolutions for Offshore Aquaculture Areas Automatic Monitoring Based on Coupled NDWI and Mask R-CNN.
Remote. Sens., 2022
Mapping Seasonal Leaf Nutrients of Mangrove with Sentinel-2 Images and XGBoost Method.
Remote. Sens., 2022
2021
Understanding the Impact of Vertical Canopy Position on Leaf Spectra and Traits in an Evergreen Broadleaved Forest.
Remote. Sens., 2021
Mapping leaf chlorophyll content of mangrove forests with Sentinel-2 images of four periods.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2019
Continuous Wavelet Analysis of Leaf Reflectance Improves Classification Accuracy of Mangrove Species.
Remote. Sens., 2019
The Influence of Spectral Pretreatment on the Selection of Representative Calibration Samples for Soil Organic Matter Estimation Using Vis-NIR Reflectance Spectroscopy.
Remote. Sens., 2019
Mapping invasive plant with UAV-derived 3D mesh model in mountain area - A case study in Shenzhen Coast, China.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library.
Remote. Sens., 2018
2017
Sensors, 2017
Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised Regression.
Remote. Sens., 2017
2016
Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
A Wavelet-Based Area Parameter for Indirectly Estimating Copper Concentration in <i>Carex </i>Leaves from Canopy Reflectance.
Remote. Sens., 2015
Evaluating Different Methods for Grass Nutrient Estimation from Canopy Hyperspectral Reflectance.
Remote. Sens., 2015
2014
Transferability of a Visible and Near-Infrared Model for Soil Organic Matter Estimation in Riparian Landscapes.
Remote. Sens., 2014