Shan Lu
Orcid: 0000-0002-8262-8779Affiliations:
- Northeast Normal University, School of Geographical Science, Changchun, China
- University of Tokyo, Japan (PhD 2007)
According to our database1,
Shan Lu
authored at least 15 papers
between 2012 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
Evaluation of Prospect Inversion Approaches Using Multiangular Spectral Reflectance Factor of Leaves.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Combining Microwave and Optical Remote Sensing to Characterize Global Vegetation Water Status.
IEEE Trans. Geosci. Remote. Sens., 2023
A New Method to Estimate the Leaf Chlorophyll Content From Multiangular Measurements: Anisotropy Index.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Reducing BRDF Effects on the Estimation of Leaf Biochemical Parameters Using the Nonpolarized Reflectance Factor in the Hemispheric Space.
IEEE Trans. Geosci. Remote. Sens., 2022
A General Algorithm of Leaf Chlorophyll Content Estimation for a Wide Range of Plant Species.
IEEE Trans. Geosci. Remote. Sens., 2022
Combining Multiangular, Polarimetric, and Hyperspectral Measurements to Estimate Leaf Nitrogen Concentration From Different Plant Species.
IEEE Trans. Geosci. Remote. Sens., 2022
Optimizing Two-Band Spectral Indices to Estimate Leaf Chlorophyll Content Using the Non-Polarized Reflectance Factors.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
A Robust Vegetation Index Based on Different UAV RGB Images to Estimate SPAD Values of Naked Barley Leaves.
Remote. Sens., 2021
2020
Improvement of Leaf Chlorophyll Content Estimation Using Spectral Indices From Nonpolarized Reflectance Factor in the Laboratory and Field.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Optimal vegetation index for assessing leaf water potential using reflectance factors from the adaxial and abaxial surfaces.
Comput. Electron. Agric., 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
Estimating Chlorophyll Content of Leafy Green Vegetables from Adaxial and Abaxial Reflectance.
Sensors, 2019
2017
Imapcts of leaf surfaces on the estimation of leaf chlorophyll content using spectral indices.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Detection of invasive plant with hyperspectral imagery in the riverbed of Kinu River, Japan.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012