Dr. Jinquan Ai Profile

Dr. Jinquan Ai

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Publications (9)

Proceedings Article | 1 September 2017 Paper

Remote sensing of the Yellow Sea green tide in 2014 based on GOCI

Debin Song, Zhiqiang Gao, Fuxiang Xu, Xiangyu Zheng, Jinquan Ai, Maosi Chen

Proceedings Volume 10405, 104050R (2017) https://doi.org/10.1117/12.2272518

KEYWORDS: Ecosystems, Geographic information systems, Oceanography

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Proceedings Article | 1 September 2017 Paper

Mapping of green tide using true color aerial photographs taken from a unmanned aerial vehicle

Fuxiang Xu, Zhiqiang Gao, Xiaopeng Jiang, Jicai Ning, Xiangyu Zheng, Debin Song, Jinquan Ai, Maosi Chen

Proceedings Volume 10405, 104050M (2017) https://doi.org/10.1117/12.2271724

KEYWORDS: Vegetation, Environmental sensing, Remote sensing, UAV imaging systems

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Proceedings Article | 1 September 2017 Paper

Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: a case study in the Yangtze Estuary

Jinquan Ai, Zhiqiang Gao, Chao Zhang, Wei Gao, Runhe Shi, Debin Song, Fuxiang Xu, Maosi Chen

Proceedings Volume 10405, 104050H (2017) https://doi.org/10.1117/12.2270695

KEYWORDS: Carbon, Remote sensing, Climatology, Carbon sequestration, Ecosystems, Climate change, Carbon dioxide, Vegetation

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SPIE Journal Paper | 24 May 2017

Phenology-based Spartina alterniflora mapping in coastal wetland of the Yangtze Estuary using time series of GaoFen satellite no. 1 wide field of view imagery

Jinquan Ai, Wei Gao, Zhiqiang Gao, Runhe Shi, Chao Zhang

JARS, Vol. 11, Issue 02, 026020, (May 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.026020

KEYWORDS: Satellites, Image classification, Ecosystems, Satellite imaging, Cameras, Vegetation, Reflectivity

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Spartina alterniflora is an aggressive invasive plant species that replaces native species, changes the structure and function of the ecosystem across coastal wetlands in China, and is thus a major conservation concern. Mapping the spread of its invasion is a necessary first step for the implementation of effective ecological management strategies. The performance of a phenology-based approach for S. alterniflora mapping is explored in the coastal wetland of the Yangtze Estuary using a time series of GaoFen satellite no. 1 wide field of view camera (GF-1 WFV) imagery. First, a time series of the normalized difference vegetation index (NDVI) was constructed to evaluate the phenology of S. alterniflora. Two phenological stages (the senescence stage from November to mid-December and the green-up stage from late April to May) were determined as important for S. alterniflora detection in the study area based on NDVI temporal profiles, spectral reflectance curves of S. alterniflora and its coexistent species, and field surveys. Three phenology feature sets representing three major phenology-based detection strategies were then compared to map S. alterniflora: (1) the single-date imagery acquired within the optimal phenological window, (2) the multitemporal imagery, including four images from the two important phenological windows, and (3) the monthly NDVI time series imagery. Support vector machines and maximum likelihood classifiers were applied on each phenology feature set at different training sample sizes. For all phenology feature sets, the overall results were produced consistently with high mapping accuracies under sufficient training samples sizes, although significantly improved classification accuracies (10%) were obtained when the monthly NDVI time series imagery was employed. The optimal single-date imagery had the lowest accuracies of all detection strategies. The multitemporal analysis demonstrated little reduction in the overall accuracy compared with the use of monthly NDVI time series imagery. These results show the importance of considering the phenological stage for image selection for mapping S. alterniflora using GF-1 WFV imagery. Furthermore, in light of the better tradeoff between the number of images and classification accuracy when using multitemporal GF-1 WFV imagery, we suggest using multitemporal imagery acquired at appropriate phenological windows for S. alterniflora mapping at regional scales.

SPIE Journal Paper | 25 April 2016 Open Access

Errata: Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery

Jinquan Ai, Wei Gao, Zhiqiang Gao, Runhe Shi, Chao Zhang, Chaoshun Liu

JARS, Vol. 10, Issue 02, 029901, (April 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.029901

KEYWORDS: Earth observing sensors, Landsat, Chaos, Information science, Ecology

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SPIE Journal Paper | 7 April 2016

Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery

Zhiqiang Gao, Jinquan Ai, Wei Gao, Runhe Shi, Chao Zhang, Chaoshun Liu

JARS, Vol. 10, Issue 02, 026001, (April 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.026001

KEYWORDS: Earth observing sensors, Image fusion, Vegetation, Landsat, Image classification, Data fusion, Image quality, Principal component analysis, Associative arrays, Image analysis

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Proceedings Article | 4 September 2015 Paper

Simulation and analysis of NDVI performance based on vegetation canopy radiative transfer model

Yuyan Zeng, Runhe Shi, Pudong Liu, Jinquan Ai, Cong Zhou

Proceedings Volume 9610, 961017 (2015) https://doi.org/10.1117/12.2187221

KEYWORDS: Reflectivity, Vegetation, Radiative transfer, Data modeling, Performance modeling, Computer simulations, Remote sensing, Absorption, Optical properties, Information science

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Proceedings Article | 4 September 2015 Paper

In situ hyperspectral data analysis for canopy chlorophyll content estimation of an invasive species spartina alterniflora based on PROSAIL canopy radiative transfer model

Jinquan Ai, Wei Gao, Runhe Shi, Chao Zhang, Zhibin Sun, Wenhui Chen, Chaoshun Liu, Yuyan Zeng

Proceedings Volume 9610, 961007 (2015) https://doi.org/10.1117/12.2186973

KEYWORDS: Reflectivity, Data modeling, Vegetation, Radiative transfer, Absorption, Data conversion, Performance modeling, Data analysis, Remote sensing, Ecosystems

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Proceedings Article | 30 August 2013 Paper

Spectral discrimination of an invasive species (Spartina alterniflora) in Min River wetland using field spectrometry

Jin-quan Ai, Wen-hui Chen, Li-quan Chen

Proceedings Volume 8910, 89100V (2013) https://doi.org/10.1117/12.2032911

KEYWORDS: Near infrared, Reflectivity, Spectroscopy, Mid-IR, Statistical analysis, Curium, Vegetation, Remote sensing, Absorption, Data modeling

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Showing 5 of 9 publications

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