Bin Sun
Orcid: 0000-0002-0275-1532Affiliations:
- Chinese Academy of Forestry, CAF, Institute of Forest Resource Information Techniques, IFRIT, China
According to our database1,
Bin Sun
authored at least 17 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Integrating vegetation phenological characteristics and polarization features with object-oriented techniques for grassland type identification.
Geo spatial Inf. Sci., May, 2024
High temporal and spatial estimation of grass yield by applying an improved Carnegie-Ames-Stanford approach (CASA)-NPP transformation method: A case study of Zhenglan Banner, Inner Mongolia, China.
Comput. Electron. Agric., 2024
How can integrated Space-Air-Ground observation contribute in aboveground biomass of shrub plants estimation in shrub-encroached Grasslands?
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Is Spectral Unmixing Model or Nonlinear Statistical Model More Suitable for Shrub Coverage Estimation in Shrub-Encroached Grasslands Based on Earth Observation Data? A Case Study in Xilingol Grassland, China.
Remote. Sens., December, 2023
Int. J. Digit. Earth, December, 2023
2022
Methods of Sandy Land Detection in a Sparse-Vegetation Scene Based on the Fusion of HJ-2A Hyperspectral and GF-3 SAR Data.
Remote. Sens., 2022
Remote. Sens., 2022
2021
Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model.
Remote. Sens., 2021
2018
Dynamic Change Monitoring and Assessment for Sandy Land Based on Quantitative Remote Sensing.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
A 2001-2015 Archive of Fractional Cover of Photosynthetic and Non-Photosynthetic Vegetation for Beijing and Tianjin Sandstorm Source Region.
Data, 2017
2016
Comparison of Methods for Estimating Fractional Cover of Photosynthetic and Non-Photosynthetic Vegetation in the Otindag Sandy Land Using GF-1 Wide-Field View Data.
Remote. Sens., 2016
Vegetation fraction inversion and influence analysis of annual ephemeral plants on sandy land evaluation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2014
Assessment of land degradation using time series trends analysis of vegetation indictors in Beijing-Tianjin dust and sandstorm source region.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Land degradation assessment by applying relative rue in Inner Mongolia, China, 2001-2010.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
NPP variation and its respond to precipitation change in potential extent of desertification in China during 2001-2010.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013