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bnu-mooc-remote-sensing-digital-image-processing

casualxgboost-for-ter

Materials for the article named "Improving terrestrial ecosystem respiration estimation by merging causal constraints in XGBoost machine learning model"

environmental-stress-parameters

[doi: 10.1177/2754124X241235545] Cenliang Zhao, Wenquan Zhu*. Uncertainty analysis of intra-module environmental stress parameter design in light use efficiency-based gross primary productivity estimation models. Transactions in Earth, Environment, and Sustainability, 2024.

etes

[doi: 10.1016/j.agrformet.2023.109337] Wenquan Zhu, Cenliang Zhao*, Zhiying Xie. An end-to-end satellite-based GPP estimation model devoid of meteorological and land cover data. Agricultural and Forest Meteorology, 2023

seasonal-luemax

[doi: 10.11834/jrs.20211394] Cenliang Zhao, Wenquan Zhu*, Zhiying Xie. Comparative evaluation of simulation methods for vegetation maximum light use efficiency. National Remote Sensing Bulletin, 2021.

vegetation-map-of-qinghai-tibet-plateau

[doi: 10.12202/j.0476-0301.2021171] Hui Zhang, Cenliang Zhao, Wenquan Zhu*. A new vegetation map for Qinghai-Tibet Plateau by integrated classification from multi-source data products. Journal of Beijing Normal University (Natural Science), 2021.