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Employment (1)

University of Illinois at Urbana-Champaign: Champaign, IL, US

Employment
Source: Self-asserted source
Chishan Zhang

Works (6)

A Phenology-guided Bayesian-CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis

ISPRS Journal of Photogrammetry and Remote Sensing
2023 | Journal article
EID:

2-s2.0-85173551108

Part of ISSN: 09242716
Contributors: Zhang, C.; Diao, C.
Source: Self-asserted source
Chishan Zhang via Scopus - Elsevier

Bias of area counted from sub-pixel map: Origin and correction

Science of Remote Sensing
2022 | Journal article
EID:

2-s2.0-85166792169

Part of ISSN: 26660172
Contributors: Dong, Q.; Chen, X.; Chen, J.; Yin, D.; Zhang, C.; Xu, F.; Rao, Y.; Shen, M.; Chen, Y.; Stein, A.
Source: Self-asserted source
Chishan Zhang via Scopus - Elsevier

Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction

Remote Sensing of Environment
2021 | Journal article
EID:

2-s2.0-85094323377

Part of ISSN: 00344257
Contributors: Zhou, J.; Chen, J.; Chen, X.; Zhu, X.; Qiu, Y.; Song, H.; Rao, Y.; Zhang, C.; Cao, X.; Cui, X.
Source: Self-asserted source
Chishan Zhang via Scopus - Elsevier

Mapping winter wheat in north China using sentinel 2A/B data: A method based on phenology-timeweighted dynamic time warping

Remote Sensing
2020 | Journal article
EID:

2-s2.0-85084547833

Part of ISSN: 20724292
Contributors: Dong, Q.; Chen, X.; Chen, J.; Zhang, C.; Liu, L.; Cao, X.; Zang, Y.; Zhu, X.; Cui, X.
Source: Self-asserted source
Chishan Zhang via Scopus - Elsevier

Assessing the impact of endmember variability on linear Spectral Mixture Analysis (LSMA): A theoretical and simulation analysis

Remote Sensing of Environment
2019 | Journal article
EID:

2-s2.0-85074897160

Part of ISSN: 00344257
Contributors: Zhang, C.; Ma, L.; Chen, J.; Rao, Y.; Zhou, Y.; Chen, X.
Source: Self-asserted source
Chishan Zhang via Scopus - Elsevier

Replacing the red band with the red-SWIR band (0.74ρ<sub>red</sub>+0.26ρ<sub>swir</sub>) can reduce the sensitivity of vegetation indices to soil background

Remote Sensing
2019 | Journal article
EID:

2-s2.0-85069870164

Contributors: Chen, X.; Guo, Z.; Chen, J.; Yang, W.; Yao, Y.; Zhang, C.; Cui, X.; Cao, X.
Source: Self-asserted source
Chishan Zhang via Scopus - Elsevier

Peer review (2 reviews for 1 publication/grant)

Review activity for International journal of applied earth observation and geoinformation. (2)