Article
Environmental Sciences
Shuai Zhang, Tamlin M. Pavelsky, Christopher D. Arp, Xiao Yang
Summary: A remote sensing-derived lake ice phenology database covering all lakes in Alaska from 2000 to 2019 was constructed to analyze the trends of earlier breakup and later freezeup of lake ice in the region. The dataset showed significant trends towards earlier or later ice breakup and freezeup for various lakes, with most significant trends observed in lakes north of the Brooks Range. This dataset contributes to the understanding of interactions between lake processes and climate change, supporting research on biogeochemical, limnological, and ecological regimes in Alaska and pan-Arctic regions.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Jieying Ma, Shuanggen Jin, Jian Li, Yang He, Wei Shang
Summary: The study proposed a multi-source remote sensing-based approach for monitoring Harmful algal blooms (HABs) in Chaohu Lake, China, achieving high temporal and spatial resolution observations. By utilizing different spectral indices algorithms, HABs were successfully extracted and misidentification of mixed pixels was avoided. The results revealed the seasonal outbreaks of HABs, the driving forces behind their growth, and the significant impact of wind on their surface variation.
Article
Environmental Sciences
Di Wang, Zailin Huo, Ping Miao, Xiaoqiang Tian
Summary: This study evaluates the performance of eight widely used machine learning models in predicting lake area in a selected arid area of China. By analyzing the impact of meteorological and anthropogenic factors on lake area, it is found that the random forest model performs the best when using the 9-month Standardized Precipitation Evapotranspiration Index as an input variable. The findings have important implications for future research on lake area prediction in arid zones and demonstrate the power of machine learning models in advancing scientific understanding of complex natural systems.
Article
Environmental Sciences
Minqi Hu, Yuchao Zhang, Ronghua Ma, Kun Xue, Zhigang Cao, Qiao Chu, Yuanyuan Jing
Summary: A new algorithm for measuring algal biomass in Lake Chaohu based on MODIS images is proposed and validated in this study. The algorithm, utilizing remote-sensing reflectance and empirical data, shows high measurement accuracy for biomass both within and outside the euphotic zone.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Zongfan Bai, Ling Han, Huiqun Liu, Xuhai Jiang, Liangzhi Li
Summary: This study improved remote sensing monitoring in arid regions by developing the Modified Remote Sensing Ecological Index (MRSEI). MRSEI was used to evaluate the ecological quality of Inner Mongolia and investigate its driving factors. The results indicate that while progress has been made in ecological conservation, areas that are fluctuating or degraded still require protection or management.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Peter Vasilevskiy, Ping Wang, Sergey Pozdniakov, Tianye Wang, Yichi Zhang, Xuejing Zhang, Jingjie Yu
Summary: Surface water-groundwater interactions in arid zones are complex and challenging to simulate due to scarce field observations and spatial heterogeneity of hydrogeological parameters. This study conducted simulations in the Ejina Basin using remote sensing data, showing that combining remote sensing products can effectively reduce uncertainty in coupled surface water and groundwater simulations where observations are sparse.
Article
Remote Sensing
Jiaxin Lu, Ling Han, Lei Liu, Junfeng Wang, Zhaode Xia, Dingjian Jin, Xinlin Zha
Summary: This study integrated multi-source remote sensing data and proposed an improved PSO algorithm for lithology classification in a specific geological area. The experimental results showed that the proposed SDIF-PSO algorithm achieved the highest cross-validation accuracy of 90.90%, outperforming other optimization algorithms.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Kuotian Lu, Xiaobo Gao, Fang Yang, Hongjie Gao, Xin Yan, Huibin Yu
Summary: Water replenishment plays a crucial role in improving water quality and maintaining ecological systems in arid and semi-arid regions of China. However, the mechanism by which water replenishment drives lake eutrophication status is still unclear. This study used fluorescence excitation-emission matrix spectroscopy (EEMs) and statistical analysis models to investigate the potential driving mechanism between water replenishment, dissolved organic matter (DOM) fractions, and eutrophication status of Lake Shahu in China. The results suggest that water replenishment indirectly drives the algae and eutrophication of the lake by promoting the transformation of DOM fractions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Wenju Zhao, Chun Zhou, Changquan Zhou, Hong Ma, Zhijun Wang
Summary: Soil salinization severely restricts the development of global industry and agriculture, and affects human beings. This study develops and optimizes an inversion monitoring model for monitoring soil salt content using unmanned aerial vehicle (UAV) multispectral remote sensing data and provides technical support for rapid monitoring and inversion of soil salinization in irrigation areas.
Article
Agriculture, Multidisciplinary
Lan Xun, Jiahua Zhang, Dan Cao, Jingwen Wang, Sha Zhang, Fengmei Yao
Summary: The study explored the feasibility of combining MODIS satellite data and the FRC algorithm to identify cotton pixels and map cotton cultivation areas in China, showing that the FRC algorithm had higher precision and good correlation with statistical data.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Environmental Sciences
Lei Jiang, Yuting Yang, Songhao Shang
Summary: This study assessed the water-use efficiency (WUE) of maize in a representative irrigation district in Northwest China using remote sensing techniques. The results demonstrated the usefulness and validity of remote sensing information in mapping regional crop WUE, providing important insights for efficient use of agricultural water.
Article
Environmental Sciences
Francisco Pedrero Salcedo, Pedro Perez Cutillas, Juan Jose Alarcon Cabanero, Alessandro Gaetano Vivaldi
Summary: The global water crisis, driven by water scarcity and water quality deterioration, is expected to continue and intensify in dry and overpopulated areas, and will play a critical role in meeting future agricultural demands. This study focuses on the influence of environmental factors on soil salinity and its effect on irrigated agriculture using degraded water. The findings suggest that remote sensing techniques and environmental data can be used to detect and monitor soil salinity in citrus trees. Incorporating other variables related to agricultural management practices will improve soil salinity predictive models.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Jinge Ma, Feng He, Tianci Qi, Zhe Sun, Ming Shen, Zhigang Cao, Di Meng, Hongtao Duan, Juhua Luo
Summary: Lake Dianchi is one of the most eutrophic lakes in China, and the occurrence of algal blooms poses a significant threat to the water ecosystem. This study reconstructed a unified time series of bloom areas in Lake Dianchi using Landsat and MODIS images combined with the Floating Algae Index (FAI), and analyzed the dynamics, seasonal characteristics, and spatial distribution of algal blooms. The study also analyzed the relationship between environmental factors and algal blooms, highlighting the importance of rainy season images in reconstructing time series based on different sensors.
Article
Agronomy
Jamal Elfarkh, Vincent Simonneaux, Lionel Jarlan, Jamal Ezzahar, Gilles Boulet, Adnane Chakir, Salah Er-Raki
Summary: This study quantifies actual crop evapotranspiration over a semi-arid region in Morocco using four models driven by high-resolution remote sensing data. The performance of these models varied depending on the seasons, water stress conditions, and vegetation development. Comparing the simulated results with actual measurements, SAMIR and METRIC-GEE models showed better agreement with observations, while SPARSE and SW models had some deviations.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Environmental Sciences
Md Ataullah Raza Khan, Shaktiman Singh, Pratima Pandey, Anshuman Bhardwaj, Sheikh Nawaz Ali, Vasudha Chaturvedi, Prashant Kumar Champati Ray
Summary: This study quantified the distribution of permafrost in the Western Himalaya using multisource satellite datasets, revealing a large portion of barren land and majority of the area with a mean annual air temperature below 1 degree Celsius. The research also showed high interannual variability in permafrost distribution and a significant decrease in permafrost cover from 2002 to 2020.