Article
Environmental Sciences
Kun Zhang, Xin Li, Donghai Zheng, Ling Zhang, Gaofeng Zhu
Summary: This study proposes a comprehensive framework to estimate global irrigation water use (IWU) by integrating multiple satellite observations. The results show that the integrated IWU estimate outperforms individual satellite observations, but there is a general underestimation of IWU globally. Further efforts are needed to improve the accuracy of global IWU estimation by producing high-quality and finer spatiotemporal resolution satellite-based products.
WATER RESOURCES RESEARCH
(2022)
Article
Chemistry, Analytical
Jin Liu, Shanshan Qiu, Zhenbo Wei
Summary: This study developed a portable moisture measuring device based on microwave microstrip sensors. By optimizing sample thickness and incorporating environmental temperature and humidity, and using different prediction models, high accuracy moisture content prediction was achieved. The device has the advantages of real-time measurement, simple structure, convenient operation, low cost, and portability, and holds great significance for real-time measurement of agricultural products and the development of intelligent agricultural equipment.
Article
Agronomy
Nirajan Luintel, Weiqiang Ma, Yaoming Ma, Binbin Wang, Jie Xu, Binod Dawadi, Bhogendra Mishra
Summary: This study investigated the spatial and temporal variation of rice cultivation in Nepal between 2003 and 2018 using MODIS data and the PhenoRice algorithm. The results showed that rice cultivation is concentrated in the low elevation belt in the south, with differences in cultivation timing between regions. Over the past decade, there has been a significant decrease in rice cultivated area, particularly in the eastern plains, while expanding in the mid-hills in the western region.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Engineering, Civil
Haoxuan Yang, Qunming Wang
Summary: This study developed a method to fill the spatial gaps in the SMAP SSM data, generating a spatially seamless, daily SMAP (SSD_SMAP) SSM dataset from 2015 to 2021. The method utilized long SMAP SSM time-series data with inherent spatial gaps and employed highly comparative time-series analysis (HCTSA) to dig the temporal profiles of the SMAP SSM time-series. A random forest (RF) model was constructed to fill the spatial gaps of the SMAP data.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Hao Sun, Yajing Cui
Summary: This study evaluated the downscaled soil moisture using machine learning methods, finding that adding geographical factors significantly improved the downscaled results, and integrating multiple factors achieved the best performance.
Article
Food Science & Technology
Xingang Xu, Tianyuan Zhao, Jianing Ma, Qi Song, Qiao Wei, Weihong Sun
Summary: The aim of this study was to investigate the effect of two-stage variable temperature drying (VTD) on the quality and drying efficiency of paddy rice in the hot air-drying process. It was observed that the VTD method could reduce drying time and fissuring rate, and improve head rice yield compared to constant temperature drying (CTD).
Article
Geochemistry & Geophysics
Moritz Link, Thomas Jagdhuber, Paolo Ferrazzoli, Leila Guerriero, Dara Entekhabi
Summary: The NASA SMAP satellite mission aims to produce enhanced resolution surface soil moisture products by combining L-band active and passive microwave measurements. This study tested the covariation between active and passive signals using numerical simulations and global satellite observations, focusing on the role of vegetation canopy in modulating the active-passive relationship. The results show that a linear relationship between backscatter and emissivity can be established under various vegetation conditions, with decreasing coupling between active and passive signals with increasing vegetation water content.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Jiangyuan Zeng, Pengfei Shi, Kun-Shan Chen, Hongliang Ma, Haiyun Bi, Chenyang Cui
Summary: The study found a generally good linear relationship between sigma SUPERSCRIPT ZERO and TB globally, with environmental factors significantly affecting this relationship. The linear correlation between active and passive measurements is worsened in bare soils, dense vegetation areas, and arid/polar climate zones, while it is favorable in moderate vegetation and soil moisture conditions, as well as large soil moisture dynamic conditions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Dileep Kumar Gupta, Prashant K. Srivastava, Dharmendra Kumar Pandey, Sumit Kumar Chaudhary, Rajendra Prasad, Peggy E. O'Neill
Summary: The present study aims to parameterize the single channel soil moisture active passive (SMAP) passive soil moisture (SM) retrieval algorithm for Indian conditions. MODIS data products and soil texture data were used to improve the parameterization of the algorithm. The algorithm was calibrated using vegetation and roughness parameters to minimize the error between the model retrieved and ground measured SM. The performance of the new parameterized model was evaluated and compared with other SM products, showing significant improvements.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Alexander Gruber, Rolf H. Reichle
Summary: This study investigates the assimilation of Soil Moisture Active Passive (SMAP) mission brightness temperature data into a land surface model to improve the simulation of soil moisture. The results show notable skill improvements in most regions, especially for the interannual variations.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Civil
Wei Xue, Jonghan Ko
Summary: Reliable estimations of evapotranspiration in paddy rice ecosystems are crucial for regional hydrological processes and climate change. However, current satellite products do not have good correlations with global paddy rice ET observations. This research conducted sensitivity analyses and optimization strategies to address this issue. The introduction of a new algorithm, LTDG_PhenoS, improved the estimation accuracy by considering multiple factors and resulted in significant decreases in RMSE.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Electrical & Electronic
Gurjeet Singh, Narendra N. Das, Rabindra K. Panda, Binayak P. Mohanty, Dara Entekhabi, Bimal K. Bhattacharya
Summary: This article evaluates the integration of ISRO's RISAT-1 C-band SAR observations in the SMAP active-passive algorithm to improve soil moisture retrievals in agricultural regions, specifically those prone to seasonal flooding. The study shows that using surface water masks can help mitigate negative impacts of dynamic surface water bodies in the algortihm and improve soil moisture estimations.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Agronomy
Juwon Kong, Youngryel Ryu, Yan Huang, Benjamin Dechant, Rasmus Houborg, Kaiyu Guan, Xiaolin Zhu
Summary: Satellite image fusion methods can improve spatial and temporal resolution for understanding ecosystem dynamics. Evaluation of four state-of-the-art image fusion NDVI products showed strong linear relationships with in situ data, with larger performance differences in spatial variation than in temporal variation.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Lei Su, Tao Che, Liyun Dai
Summary: The study reveals that the ice phenology of 22 large lakes in the Northern Hemisphere is influenced by air temperature and latitude, with freeze-up start and end dates delayed, and break-up start and end dates earlier, showing a general decrease in ice duration. Future predictions indicate that lake ice phenology will continue to change due to climate change impacts.
Article
Chemistry, Analytical
Lijun Sun, Binbin Wang, Yaoming Ma, Xingdong Shi, Yan Wang
Summary: Using satellite monitoring and temperature data, this study analyzed the ice phenology events of 40 high-elevation lakes on the Tibetan Plateau and their influencing factors. The results showed that with climate warming, the freeze-up start date of 24 lakes was delayed, the break-up end date of 7 lakes was advanced, and the ice coverage duration of 13 lakes was shortened.
Article
Environmental Sciences
Lamin R. Mansaray, Adam Sheka Kanu, Lingbo Yang, Jingfeng Huang
Summary: This study evaluated the feasibility of using quad-source optical satellite imagery in modeling rice green LAI. Results showed that regression models based on an ensemble of decision trees were more suitable for this task. The findings are significant for areas with high cloud coverage.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Lamin R. Mansaray, Fumin Wang, Adam S. Kanu, Lingbo Yang
Summary: This study evaluates the application of Sentinel-1A satellite data for rice green leaf area index estimation and compares the performance of different polarizations and machine learning regression models. The results show that using VV data leads to relatively more accurate results, while the combination of VHVV is even more accurate than VV alone. Additionally, tree-based algorithms can better handle the dimensionality of the data.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Houbing Chen, Palingamoorthy Gnanamoorthy, Yaoliang Chen, Lamin R. Mansaray, Qinghai Song, Kuo Liao, Aoni Shi, Ganlin Feng, Chenna Sun
Summary: This paper assessed four high spatial resolution remote sensing ET products in the Lancang-Mekong River Basin and found variations in their performance across different vegetation types and climate zones. Although these products were able to reflect spatial differences in the basin, they did not show consistent temporal trends or uniform spatial distributions.
Article
Physics, Applied
Ernest Wu, Franco Stellari, Leonidas Ocola, Martin Frank, Peilin Song, Takashi Ando
Summary: In this work, the spatial statistical properties of filament patterns in resistive random-access memory (ReRAM) devices were investigated using near-infrared photon emission microscopy (PEM). A strong clustering and non-Poisson pattern of filaments were observed, and a Poisson mixture model incorporating the clustering effect was proposed, showing excellent agreement with the PEM data. A two-filament pattern was also detected within the ReRAM devices, and both attractive and repulsive interactions among the filaments were found to be necessary to explain their spatial distribution using a Gibbs process.
APPLIED PHYSICS LETTERS
(2022)
Article
Environmental Sciences
Lamin R. Mansaray, Victor T. S. Kabba, Lingbo Yang
Summary: This study compares the performance of parametric and non-parametric models in estimating rice biomass and LAI using optical satellite imagery. The findings suggest that non-parametric models outperform parametric models before heading, while the opposite is true after heading. These results provide guidance for selecting appropriate models for estimating rice biomass and LAI.
GEOCARTO INTERNATIONAL
(2022)
Article
Plant Sciences
Adam Sheka Kanu, Umair Ashraf, Lamin R. Mansaray, Farhat Abbas, Sajid Fiaz, Sikandar Amanullah, Christen Shaka Charley, Xiangru Tang
Summary: This study investigated the effects of exogenous application of methyl jasmonate (MeJa) on the physiological and biochemical characteristics, yield, and quality of two fragrant rice cultivars under Cd stress. The results showed that Cd toxicity impaired plant growth and physiological attributes, while MeJa application improved growth and yield under Cd stress conditions.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Geography
Morrison K. Lahai, Victor T. S. Kabba, Lamin R. Mansaray
Summary: This study investigates the spatio-temporal dynamics of land-use and land-cover (LULC) changes and their impacts on household livelihoods in rural Sierra Leone. The results show a significant decrease in wetland area and an increase in dense forest, with a decline in natural assets and an increase in physical and financial assets. However, household livelihood outcomes are less favorable and vulnerable to food insecurity as LULC changes persist.
Article
Biochemistry & Molecular Biology
Yunfeng Zhao, Peilin Song, Shuai Yin, Tianyong Fan, Fengwei Li, Xiaodong Ge, Tingting Liu, Wei Xu, Su Xu, Ligen Chen
Summary: This study evaluated the anti-diabetic activity of Onchidium struma polysaccharides (OsPs) in diabetic mice. The results showed that OsPs significantly improved the features of type 2 diabetes mellitus (T2DM) by reducing fasting blood glucose levels, improving oral glucose tolerance test results, and decreasing pro-inflammatory factors. OsPs also improved insulin resistance and biochemical indicators, reduced lipid accumulation in the liver, and regulated the dysbiosis of gut microbiota. Moreover, OsPs increased the concentration of short-chain fatty acids (SCFAs). OsPs can be used as a novel food supplement for the prevention and treatment of T2DM.
Article
Environmental Sciences
Lingbo Yang, Ran Huang, Jingcheng Zhang, Jingfeng Huang, Limin Wang, Jiancong Dong, Jie Shao
Summary: This study successfully transferred a rice mapping model from the United States to Northeast China using a large number of samples, achieving accurate mapping of rice areas. The study found that the transferred model exhibited strong spatiotemporal generalization capability and achieved high accuracy in rice mapping in the three main rice-producing regions of Northeast China.
Article
Environmental Sciences
Weiwei Liu, Yuanyuan Chen, Weiwei Sun, Ran Huang, Jingfeng Huang
Summary: Excessive water and water deficit are important limiting factors for global agricultural development. This study assessed the impact of waterlogging on winter wheat yield using downscaled and fused TRMM 3B42 data from 1998 to 2014. The downscaled data improved accuracy, while fusion with rain gauge measurements increased the precision of quantitative indicators. The study found that the accumulated number of rainy days of specific rain processes was a good indicator of waterlogging, and waterlogging levels were determined based on yield change rates. Spatial mapping of waterlogging can help policymakers implement prevention and mitigation strategies.
Article
Agronomy
Ehab H. Hegazi, Abdellateif A. Samak, Lingbo Yang, Ran Huang, Jingfeng Huang
Summary: Agriculture is closely associated with food and water, being the first source of food but also the largest consumer of freshwater. Smart agriculture is a means of achieving food and water security by improving water management and increasing agricultural production. This research proposes a new approach using a convolutional neural network (CNN) to predict soil moisture over vegetation-covered areas based on Sentinel-2 images.
Article
Environmental Sciences
Ting Zhou, Hongbo Yang, Xiao Qiu, Hailian Sun, Peilin Song, Wu Yang
Summary: Approximately 10% of China's grasslands are severely degraded and 90% of them are overgrazed. To tackle this issue, China has implemented a payment for ecosystem services program to protect the grasslands and improve the well-being of pastoralists. A study conducted in Damao County, Inner Mongolia evaluated the ecological and socioeconomic effects of the Grassland Ecological Compensation Policy (GECP) and found positive outcomes at different levels.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Wesley Brewer, Joel Bretheim, John Kaniarz, Peilin Song, Burhman Gates
Summary: This article presents the work of enabling HPC in an interactive real-time autonomy loop. It discusses the workflow using Singularity containers, ROS, and MPI, as well as the specific software components and tools used. Scalable performance on multiple HPC systems is also benchmarked and analyzed.
2022 IEEE HIGH PERFORMANCE EXTREME COMPUTING VIRTUAL CONFERENCE (HPEC)
(2022)
Article
Geosciences, Multidisciplinary
Peilin Song, Yongqiang Zhang, Jianping Guo, Jiancheng Shi, Tianjie Zhao, Bing Tong
Summary: Surface soil moisture is crucial for understanding the hydrological process of our earth surface. In this study, a high-resolution soil moisture product with all-weather coverage was developed in China using the passive microwave technique. The product showed good performance compared to in situ soil moisture measurements and outperformed other satellite-based products. It has great potential for applications in hydrology, agriculture, and water resource management.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Geochemistry & Geophysics
Kai Ren, Weiwei Sun, Xiangchao Meng, Gang Yang, Jiangtao Peng, Jingfeng Huang
Summary: This article presents a locally optimized image segmentation fusion (LOISF) framework for HS super-resolution reconstruction, which preserves spatial details and texture while improving image quality in LR HS and HR MS images through the construction of a joint fusion model and a convex optimization solution.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)