Cong Wang
Orcid: 0000-0002-1193-6862Affiliations:
- Central China Normal University, Wuhan, China
According to our database1,
Cong Wang
authored at least 16 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Exploring the Optimized Leaf Area Index Retrieval Strategy Based on the Look-up Table Approach for Decametric-Resolution Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Retrieval of Leaf Area Index From MODIS Surface Reflectance by Incorporating the Subpixel Information From Decametric-Resolution Data.
IEEE Trans. Geosci. Remote. Sens., 2024
Understanding the potentials of early-season crop type mapping by using Landsat-8, Sentinel-1/2, and GF-1/6 data.
Comput. Electron. Agric., 2024
2023
Mapping Diverse Paddy Rice Cropping Patterns in South China Using Harmonized Landsat and Sentinel-2 Data.
Remote. Sens., February, 2023
Improved Estimation of Leaf Area Index by Reducing Leaf Chlorophyll Content and Saturation Effects Based on Red-Edge Bands.
IEEE Trans. Geosci. Remote. Sens., 2023
Exploring the Potential of Gaofen-1/6 for Crop Monitoring: Generating Daily Decametric-Resolution Leaf Area Index Time Series.
IEEE Trans. Geosci. Remote. Sens., 2023
Decreased Sensitivity of Grassland Spring Phenology to Temperature on the Tibetan Plateau.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Comparison of Vegetation Phenology Derived from Solar-Induced Chlorophyll Fluorescence and Enhanced Vegetation Index, and Their Relationship with Climatic Limitations.
Remote. Sens., 2022
Generating High-Resolution and Long-Term SPEI Dataset over Southwest China through Downscaling EEAD Product by Machine Learning.
Remote. Sens., 2022
An Adaptive Image Segmentation Method with Automatic Selection of Optimal Scale for Extracting Cropland Parcels in Smallholder Farming Systems.
Remote. Sens., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Divergent Performances of Vegetation Indices in Extracting Photosynthetic Phenology for Northern Deciduous Broadleaf Forests.
IEEE Geosci. Remote. Sens. Lett., 2022
Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2017
IEEE Trans. Geosci. Remote. Sens., 2017
Analysis of Differences in Phenology Extracted from the Enhanced Vegetation Index and the Leaf Area Index.
Sensors, 2017
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017