45 Papers
75 Citations
Ling Wu is an academic researcher from China University of Geosciences (Beijing). The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 14, co-authored 38 publications. Previous affiliations of Ling Wu include Peking University.
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Papers
The dynamic simulation of rice growth parameters under cadmium stress with the assimilation of multi-period spectral indices and crop model
TL;DR: In this article, the authors realized the dynamic simulation of rice growth parameters in three experiment fields that were exposed to varying levels of soil Cd (cadmium) concentration, intending to monitor the stress-induced changes of growth parameters on time scale.
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Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery
TL;DR: This study characterized the resulting long-term change patterns using the LandTrendr algorithm with Landsat time-series data derived from the GEE to assist researchers and managers in gaining a better understanding of environmental influences related to the ongoing conversion efforts in Dongting Lake, China.
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Multi-Type Forest Change Detection Using BFAST and Monthly Landsat Time Series for Monitoring Spatiotemporal Dynamics of Forests in Subtropical Wetland
Ling Wu,Zhaoliang Li,Xiangnan Liu,Lihong Zhu,Yibo Tang,Biyao Zhang,Boliang Xu,Meiling Liu,Yuanyuan Meng,Boyuan Liu +9 more
TL;DR: This study demonstrated the applicability of the integrated BFAST method to detect multi-type forest changes by using dense Landsat time series in the subtropical wetland ecosystem with low data availability.
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An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice
TL;DR: Based on the RS-WOFOST assimilation framework, continuous spatial-temporal evaluation of heavy metal stress levels based on WRT can be accomplished.
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The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues
TL;DR: It is suggested that the proposed method of integrating the spectral information and the crop growth model could successfully dynamically simulate the Cd accumulation in rice tissues.
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