Cong Wang

Orcid: 0000-0002-1193-6862

Affiliations:
  • Central China Normal University, Wuhan, China


According to our database1, Cong Wang authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

Spatial-Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks.
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
Estimation of Surface Upward Longwave Radiation Using a Direct Physical Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2017

Analysis of Differences in Phenology Extracted from the Enhanced Vegetation Index and the Leaf Area Index.
Sensors, 2017

Analysis on difference of phenology extracted from EVI and LAI.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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