Search Results - "Shen, Ruoque"

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  1. 1

    High Resolution Distribution Dataset of Double-Season Paddy Rice in China by Pan, Baihong, Zheng, Yi, Shen, Ruoque, Ye, Tao, Zhao, Wenzhi, Dong, Jie, Ma, Hanqing, Yuan, Wenping

    Published in Remote sensing (Basel, Switzerland) (01-11-2021)
    “…Although China is the largest producer of rice, accounting for about 25% of global production, there are no high-resolution maps of paddy rice covering the…”
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    Journal Article
  2. 2

    A High-Resolution Distribution Dataset of Paddy Rice in India Based on Satellite Data by Chen, Xuebing, Shen, Ruoque, Pan, Baihong, Peng, Qiongyan, Zhang, Xi, Fu, Yangyang, Yuan, Wenping

    Published in Remote sensing (Basel, Switzerland) (01-09-2024)
    “…India, as the world’s second-largest rice producer, accounting for 21.7% of global rice production, plays a crucial role in ensuring global food supply…”
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    Journal Article
  3. 3

    A twenty-year dataset of high-resolution maize distribution in China by Peng, Qiongyan, Shen, Ruoque, Li, Xiangqian, Ye, Tao, Dong, Jie, Fu, Yangyang, Yuan, Wenping

    Published in Scientific data (26-09-2023)
    “…China is the world’s second-largest maize producer, contributing 23% to global production and playing a crucial role in stabilizing the global maize supply…”
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    Journal Article
  4. 4

    Large-scale and high-resolution paddy rice intensity mapping using downscaling and phenology-based algorithms on Google Earth Engine by Meng, Liangli, Li, Yunfei, Shen, Ruoque, Zheng, Yi, Pan, Baihong, Yuan, Wenping, Li, Jun, Zhuo, Li

    “…•A new large-scale downscaling method can be constructed on GEE.•A robust rice intensity mapping method for southern China is proposed.•The downscaled data…”
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    Journal Article
  5. 5

    A 30 m Resolution Distribution Map of Maize for China Based on Landsat and Sentinel Images by Shen, Ruoque, Dong, Jie, Yuan, Wenping, Han, Wei, Ye, Tao, Zhao, Wenzhi

    Published in Journal of remote sensing (01-01-2022)
    “…As the second largest producer of maize, China contributes 23% of global maize production and plays an important role in guaranteeing maize markets stability…”
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    Journal Article
  6. 6

    Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm by Fu, Yangyang, Shen, Ruoque, Song, Chaoqing, Dong, Jie, Han, Wei, Ye, Tao, Yuan, Wenping

    Published in Science of Remote Sensing (01-06-2023)
    “…Machine learning algorithms are a frequently used crop classification method and have been applied to identify the distribution of various crops over regional…”
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    Journal Article
  7. 7

    A 30-m gross primary production dataset from 2016 to 2020 in China by Lin, Shangrong, Huang, Xiaojuan, Wang, Caiqun, He, Tao, Zhang, Xiao, Shen, Ruoque, Peng, Qiongyan, Chen, Xiuzhi, Zheng, Yi, Dong, Jie, Liang, Shunlin, Yuan, Wenping

    Published in Scientific data (01-10-2024)
    “…Estimating gross primary production (GPP) of terrestrial ecosystems is important for understanding the terrestrial carbon cycle. However, existed nationwide…”
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  8. 8

    Regional evaluation of satellite‐based methods for identifying end of vegetation growing season by Shen, Ruoque, Lu, Haibo, Yuan, Wenping, Chen, Xiuzhi, He, Bin, Disney, Mat, Boyd, Doreen

    Published in Remote sensing in ecology and conservation (01-12-2021)
    “…Autumn phenology plays an important role in regulating ecosystem carbon and water cycling, but it has received less attention than spring phenology…”
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    Journal Article
  9. 9

    How well can we predict vegetation growth through the coming growing season? by Peng, Qiongyan, Li, Xiangqian, Shen, Ruoque, He, Bin, Chen, Xiuzhi, Peng, Yu, Yuan, Wenping

    Published in Science of Remote Sensing (01-06-2022)
    “…The prediction of vegetation growth under climate change has become much more important in recent years, but is still a challenge. This study developed a…”
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    Journal Article
  10. 10

    Sample-free automated mapping of double-season rice in China using Sentinel-1 SAR imagery by Zhang, Xi, Shen, Ruoque, Zhu, Xiaolin, Pan, Baihong, Fu, Yangyang, Zheng, Yi, Chen, Xuebing, Peng, Qiongyan, Yuan, Wenping

    Published in Frontiers in environmental science (06-07-2023)
    “…Introduction: Timely and accurately mapping the spatial distribution of rice is of great significance for estimating crop yield, ensuring food security and…”
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    Journal Article
  11. 11

    A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands by Peng, Qiongyan, Shen, Ruoque, Dong, Jie, Han, Wei, Huang, Jianxi, Ye, Tao, Zhao, Wenzhi, Yuan, Wenping

    Published in Frontiers in environmental science (04-01-2023)
    “…Introduction: Using satellite data to identify the planting area of summer crops is difficult because of their similar phenological characteristics. Methods:…”
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  12. 12

    Remote Sensing of Seasonal Climatic Constraints on Leaf Phenology Across Pantropical Evergreen Forest Biome by Li, Qian, Chen, Xiuzhi, Yuan, Wenping, Lu, Haibo, Shen, Ruoque, Wu, Shengbiao, Gong, Fanxi, Dai, Yuhang, Liu, Liyang, Sun, Qingling, Zhang, Chaoqun, Su, Yongxian

    Published in Earth's future (01-09-2021)
    “…Climatic drivers for canopy leaf shedding and flush of evergreen broadleaved forest biome are still unclear at the continental scale across tropical and…”
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  13. 13
  14. 14

    Regional evaluation of satellite-based methods for identifying leaf unfolding date by Shen, Ruoque, Chen, Xiuzhi, Chen, Lei, He, Bin, Yuan, Wenping

    “…Satellite-based methods have been widely used to identify the critical phenophases of terrestrial vegetation and detect responses of phenophases to climate…”
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  15. 15

    Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017 by Zheng, Yi, Shen, Ruoque, Wang, Yawen, Li, Xiangqian, Liu, Shuguang, Liang, Shunlin, Chen, Jing M, Ju, Weimin, Zhang, Li, Yuan, Wenping

    Published in Earth system science data (12-11-2020)
    “…Satellite-based models have been widely used to simulate vegetation gross primary production (GPP) at the site, regional, or global scales in recent years…”
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  16. 16

    Spatial and Temporal Patterns of Maize Phenology in China From 2001 to 2020 by Peng, Qiongyan, Shen, Ruoque, Liu, Yujie, Li, Xiangqian, Sun, Qingling, Huang, Jianxi, Yuan, Wenping

    “…Climate change has significantly altered crop phenology, which has further impacted crop growth and yield. Accurate monitoring of crop phenology is essential…”
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  17. 17

    Reconstructing Long‐Term Forest Age of China by Combining Forest Inventories, Satellite‐Based Forest Age and Forest Cover Data Sets by Xia, Jiangzhou, Xia, Xiaosheng, Chen, Yang, Shen, Ruoque, Zhang, Zheyuan, Liang, Boyi, Wang, Jia, Yuan, Wenping

    “…Forest age is one of the most important ecosystem characters for accurately estimating the magnitude and potential of carbon sink in forest ecosystems. During…”
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  18. 18

    High-resolution distribution maps of single-season rice in China from 2017 to 2022 by Shen, Ruoque, Pan, Baihong, Peng, Qiongyan, Dong, Jie, Chen, Xuebing, Zhang, Xi, Ye, Tao, Huang, Jianxi, Yuan, Wenping

    Published in Earth system science data (26-07-2023)
    “…Paddy rice is the second-largest grain crop in China and plays an important role in ensuring global food security. However, there is no high-resolution map of…”
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