Article
Environmental Sciences
Wanjuan Song, Xihan Mu, Tim R. McVicar, Yuri Knyazikhin, Xinli Liu, Li Wang, Zheng Niu, Guangjian Yan
Summary: Fractional Vegetation Cover (FVC) is important for understanding ecosystems and their response to climate change. The lack of global near-real-time satellite-based products limits the use of FVC in various studies. This study developed an algorithm using EPIC to estimate FVC daily at a global scale with a resolution of 10 km.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Hana L. Sellers, Sergio A. Vargas A. Zesati, Sarah C. Elmendorf, Alexandra Locher, Steven F. Oberbauer, Craig E. Tweedie, Chandi Witharana, Robert D. Hollister
Summary: Plot-level photography is a time-saving alternative for vegetation monitoring, but its widespread adoption depends on efficient post-processing workflows and accurate results. In this study, relative vegetation cover was estimated using both traditional field sampling and semi-automated classification of photographs in Alaska. The results show that plot-level photography can accurately predict the cover of graminoids, but its accuracy is limited for other vegetation classes.
Article
Engineering, Electrical & Electronic
Wei Chen, Zhe Wang, Xuepeng Zhang, Guangchao Li, Fengjiao Zhang, Lan Yang, Haijing Tian, Gongqi Zhou
Summary: This study introduces a deep learning method based on high dynamic range images to reduce the influence of vegetation shadows on FVC estimation accuracy, achieving high accuracy in extracting FVC. The HDR REC-DL method performs well under various weather conditions.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Kai Jin, Fei Wang, Quanli Zong, Peng Qin, Chunxia Liu, Shaoxia Wang
Summary: The study analyzed the impact of climate change on vegetation cover in China from 1982 to 2015, showing a significant influence on the NDVI trend. The central and eastern regions of China experienced a rapid increase in vegetation cover, while the response to temperature and precipitation varied across regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Forestry
Yixuan Zhang, Tingning Zhao, Changqing Shi, Qiang Ma
Summary: It is essential to consider the state of vegetation in climate-soil-vegetation systems during ecological restoration. The ecohydrological optimality theory suggests that the equilibrium state between water supply and demand in the system is driven by productivity maximization. This study aimed to understand factors affecting vegetation distribution and simulate ideal vegetation coverage under equilibrium state. Weather factors were found to be the most sensitive in the model, and the steppe's M-0 was most sensitive to certain variables. Studying vegetation carrying capacity contributes to insights on vegetation restoration and water resource conservation.
Article
Public, Environmental & Occupational Health
Liping Yang, Na Xie, Yanru Yao, Chunxia Wang, Ramziya Rifhat, Maozai Tian, Kai Wang
Summary: This study conducted an epidemiological study on the incidence of hepatitis B in Xinjiang using change point analysis. The results showed that there were change points in the trend of hepatitis B, and the number of reported cases decreased over time. The number of change points varied in different age groups, with higher growth rates in the 30-50, 51-80, and 15-29 age groups.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Multidisciplinary Sciences
Shunmin An, Xixia Huang, Linling Wang, Zhangjing Zheng, Le Wang
Summary: An unsupervised water scene dehazing network using atmospheric multiple scattering model is proposed, which estimates scene radiation layer, transmission map layer, blur kernel layer and atmospheric light layer to synthesize dehazing image, and constructs unsupervised loss functions applicable to image dehazing by prior knowledge. Extensive experiments have shown that the method can recover the details, structure and texture of the water image better than five advanced dehazing methods.
Article
Forestry
Chen Yang, Meichen Fu, Dingrao Feng, Yiyu Sun, Guohui Zhai
Summary: Global vegetation cover has changed dramatically over the past decades, with large-scale greening observed from 2000 to 2015 in the Loess Plateau. However, some regions showed decreasing vegetation cover. Latitudinal and longitudinal changes in vegetation coverage presented a net increase, with most areas showing a sustainable growth in vegetation cover. Factors influencing vegetation cover include temperature, precipitation, GDP, slope, cropland percentage, forest percentage, and built-up land percentage.
Article
Geochemistry & Geophysics
Donato Amitrano, Raffaella Guida, Pasquale Iervolino
Summary: The proposed methodology introduces a new approach for unsupervised change detection in vegetation canopy, achieving superior results compared to literature methods in agriculture experiments. While maintaining comparable detection accuracy in cases of deforestation, it significantly reduces the number of false deforestation patterns. The architecture's main characteristics are robustness and lack of supervision, making it well-suited for operational scenarios.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Xu Ma, Lei Lu, Jianli Ding, Fei Zhang, Baozhong He
Summary: This study utilized high spatial resolution remote sensing images and coupled them with backward propagation neural networks to estimate the fractional vegetation cover (FVC) of row crops. The results showed that this method outperformed other prevailing algorithms, with a calculated accuracy of 0.0305 RMSE. Furthermore, it was found that when the row crops' structure was obvious, the estimated FVC showed a strong exponential relationship with NDVI.
Article
Ecology
Xianfeng Chen, Jack Livingston, Cun Chang, Geping Luo, Xi Chen
Summary: Vegetation cover is crucial for the functioning of drylands, and regular monitoring of its changes is important for their preservation and management. This study explores the effectiveness of photo-based grid point intercept field survey for quantifying vegetation characteristics in drylands, and suggests that it can provide a cost-and time-effective technique for data collection to support remote sensing analysis of vegetation dynamics.
JOURNAL OF ARID ENVIRONMENTS
(2023)
Article
Environmental Sciences
Duanyang Liu, Kun Jia, Haiying Jiang, Mu Xia, Guofeng Tao, Bing Wang, Zhulin Chen, Bo Yuan, Jie Li
Summary: Fractional vegetation cover (FVC) is crucial for Earth system ecological and climate models, and high-quality FVC products are essential for global change studies. This study developed a FVC estimation algorithm using FY-3 reflectance data, showing reliable spatial-temporal continuities and accuracy. Results indicated that FY-3 reflectance data can generate reliable FVC estimations.
Article
Forestry
Wanjuan Song, Tian Zhao, Xihan Mu, Bo Zhong, Jing Zhao, Guangjian Yan, Li Wang, Zheng Niu
Summary: This paper investigates the method of estimating fractional vegetation cover (FVC) using multiple satellite data. The results show that the VI-based mixture model, combined with spectral normalization, can improve the accuracy and stability of FVC estimation.
Article
Biodiversity Conservation
Clara Plancher, Florence Mazier, Thomas Houet, Cedric Gaucherel
Summary: Studying the interactions between humans, land-cover and biodiversity is crucial for sustainable ecosystem management. This study proposes an innovative backward land-cover reconstruction method that integrates past vegetation data to achieve accurate reconstruction of past land-cover maps.
Article
Multidisciplinary Sciences
Shunmin An, Xixia Huang, Zhangjing Zheng, Linling Wang
Summary: An end-to-end sea fog removal network using a multiple scattering model was proposed in this study, which can comprehensively consider the effect of multiple scattering, avoid image blurring, and outperform state-of-the-art models in both quantitative and qualitative aspects in experimental results.
