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2020
A summary of the special issue on remote sensing of land change science with Google earth engine
Wang, L., Diao, C., Xian, G., Yin, D., Lu, Y., Zou, S. & Erickson, T. A., Oct 2020, In: Remote Sensing of Environment. 248, 112002.Research output: Contribution to journal › Editorial › peer-review
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2016
A survey of methods incorporating spatial information in image classification and spectral unmixing
Wang, L., Shi, C., Diao, C., Ji, W. & Yin, D., Aug 17 2016, In: International Journal of Remote Sensing. 37, 16, p. 3870-3910 41 p.Research output: Contribution to journal › Review article › peer-review
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Temporal partial unmixing of exotic salt cedar using Landsat time series
Diao, C. & Wang, L., May 3 2016, In: Remote Sensing Letters. 7, 5, p. 466-475 10 p.Research output: Contribution to journal › Article › peer-review
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2019
Complex network-based time series remote sensing model in monitoring the fall foliage transition date for peak coloration
Diao, C., Aug 2019, In: Remote Sensing of Environment. 229, p. 179-192 14 p.Research output: Contribution to journal › Article › peer-review
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Innovative pheno-network model in estimating crop phenological stages with satellite time series
Diao, C., Jul 2019, In: ISPRS Journal of Photogrammetry and Remote Sensing. 153, p. 96-109 14 p.Research output: Contribution to journal › Article › peer-review
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2016
The effects of weather and environmental factors on west nile virus mosquito abundance in greater toronto area
Yoo, E. H., Chen, D. & Diao, C., Jan 1 2016, In: Earth Interactions. 20, 3Research output: Contribution to journal › Article › peer-review
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2020
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages
Diao, C., Oct 2020, In: Remote Sensing of Environment. 248, 111960.Research output: Contribution to journal › Article › peer-review
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2017
Quantitative and detailed spatiotemporal patterns of drought in China during 2001–2013
Zhou, L., Wu, J., Mo, X., Zhou, H., Diao, C., Wang, Q., Chen, Y. & Zhang, F., Jul 1 2017, In: Science of the Total Environment. 589, p. 136-145 10 p.Research output: Contribution to journal › Article › peer-review
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2016
Incorporating plant phenological trajectory in exotic saltcedar detection with monthly time series of Landsat imagery
Diao, C. & Wang, L., Sep 1 2016, In: Remote Sensing of Environment. 182, p. 60-71 12 p.Research output: Contribution to journal › Article › peer-review
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2020
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion
Tian, J., Wang, L., Yin, D., Li, X., Diao, C., Gong, H., Shi, C., Menenti, M., Ge, Y., Nie, S., Ou, Y., Song, X. & Liu, X., Jun 1 2020, In: Remote Sensing of Environment. 242, 111745.Research output: Contribution to journal › Article › peer-review
Open Access -
2019
Cloud detection in remote sensing images based on multiscale features-convolutional neural network
Shao, Z., Pan, Y., Diao, C. & Cai, J., Jun 2019, In: IEEE Transactions on Geoscience and Remote Sensing. 57, 6, p. 4062-4076 15 p., 8625476.Research output: Contribution to journal › Article › peer-review