19 Papers
51 Citations
Chao Ding is an academic researcher from China University of Geosciences (Beijing). The author has contributed to research in topics: Environmental science & Medicine. The author has an hindex of 11, co-authored 15 publications. Previous affiliations of Chao Ding include Chinese Academy of Sciences.
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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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Multivariable integration method for estimating sea surface salinity in coastal waters from in situ data and remotely sensed data using random forest algorithm
TL;DR: The RF algorithm has the capability to estimate SSS in coastal waters by integrating in situ and remotely sensed data and had a relatively low estimation error, demonstrating that the RF model was used extensively under different periods and could be universal.
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Mafic-ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function
TL;DR: In this article, the authors used a linear approximation of the Planck function and deduced a linear equation that represents the relationship of the radiance between two TIR bands. But, the authors pointed out that the atmospheric effect on the indices is weak in arid or high-elevation region, so it will not interfere with the indices obviously in these regions.
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Regional heavy metal pollution in crops by integrating physiological function variability with spatio-temporal stability using multi-temporal thermal remote sensing
TL;DR: It is suggested that regional heavy metal stress in crops can be accurately detected using TIR technology, if a sensitive indicator of crop physiological function impairment is used and an effective model is selected.
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Onset of drying and dormancy in relation to water dynamics of semi-arid grasslands from MODIS NDWI
TL;DR: The results suggest that phenological studies using NDWI could expand the understanding of land surface phenology, and considering the different responses of the onset of NDWI- and EVI-based dormancy to climate variability, a combination of these phenometrics could contribute to the study of the ecosystem processes in semi-arid grasslands.
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