Article
Environmental Sciences
Yazhen Jiang, Ronglin Tang, Zhao-Liang Li
Summary: This study proposed a framework for correcting the angular effect of remotely sensed LST on ET estimation, which significantly improved the accuracy of ET estimations through adjusting directional reflectance and estimating temperatures.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Agronomy
Samuel Ortega-Farias, Wladimir Esteban-Condori, Camilo Riveros-Burgos, Fernando Fuentes-Penailillo, Matthew Bardeen
Summary: The study evaluated the use of UAVs equipped with high-resolution thermal infrared cameras for estimating energy balance components over heterogeneous canopies, such as vineyards. The results showed that the TSPEB model estimated the components with small errors, and the main uncertainties were associated with errors in the estimation of the soil and canopy sensible heat fluxes.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Ahmeda Assann Ouedraogo, Emmanuel Berthier, David Ramier, Yanlin Tan, Marie-Christine Gromaire
Summary: Evapotranspiration (ET) is a significant process in green stormwater infrastructure (GSI), aiming to reduce urban drainage and restore urban hydrological balance closer to the natural one. However, evaluating ET on these structures, especially on green roofs (GR), remains challenging and subject to discussion.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Nicola Paciolla, Chiara Corbari, Marco Mancini
Summary: An accurate understanding of water and energy exchanges in the soil-crop-atmosphere system is crucial for precise control of agricultural operations. This study developed a two-source energy-water balance model that combines the advantages of single-source and two-source approaches. The model was validated using an experiment on a heterogeneous grass crop, showing improved estimation of water consumption and potential for water savings.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Maricar Aguilos, Ge Sun, Asko Noormets, Jean-Christophe Domec, Steve McNulty, Michael Gavazzi, Kevan Minick, Bhaskar Mitra, Prajaya Prajapati, Yun Yang, John King
Summary: Long-term study on the hydrologic impacts of converting forested wetlands to pine plantations in the southern US is rare. This study quantified water cycling in different aged pine plantations and natural forest, revealing differences in evapotranspiration influenced by stand age, canopy cover, and micrometeorology. Results suggest that forest management practices can greatly impact water balance in forested wetlands.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
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
Agronomy
Minguo Liu, Mei Yang, Huimin Yang
Summary: This article presents an open-source software package called simET, which aims to accurately estimate crop evapotranspiration (ETc) and soil water balance. The package includes various functions and models for different crops.
Article
Environmental Sciences
Jose Antonio Sobrino, Najila Souza da Rocha, Drazen Skokovic, Pamela Suelen Kafer, Ramon Lopez-Urrea, Juan Carlos Jimenez-Munoz, Silvia Beatriz Alves Rolim
Summary: The study compared remote sensing-based ET estimates using the S-SEBI model with in situ lysimeter measurements for different land covers in Barrax, Spain from 2014 to 2018. Daily estimates outperformed hourly estimates, with Grass and Vineyard showing the best performance. The S-SEBI model demonstrated the ability to retrieve ET from Landsat 8 data with good accuracy and variability between pixels, making it a suitable option for operational ET remote sensing programs.
Article
Environmental Sciences
Luis Andres Guillen, Rodrigo Fernandez, Brandi Gaertner, Nicolas Pierre Zegre
Summary: The study revealed that climate controls have a greater impact on precipitation partitioning, while landscape controls have a smaller influence. In a complex mountainous terrain, partitioning controls may vary between different basins.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Guoxiao Wei, Zijing Zhao, Wei Tian, Zhongqi Qiu, Zewei Yang, Fubing Wang
Summary: This article presents two alternatives to the two-source evapotranspiration model that utilize a more accurate approximation of the Clausius-Clapeyron relation. Model performance was evaluated through a comparison with observed fluxes. The new exponential approximation significantly reduces errors in the energy balance equations. The proposed models outperform the Shuttleworth-Wallace model under the conditions evaluated, but their accuracy under broader conditions is still uncertain. Importantly, these models underestimate nighttime latent heat fluxes, likely due to uncertainties in estimated conductances and forcing data errors.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Ivonne Trebs, Kaniska Mallick, Nishan Bhattarai, Mauro Sulis, Jamie Cleverly, William Woodgate, Richard Silberstein, Nina Hinko-Najera, Jason Beringer, Wayne S. Meyer, Zhongbo Su, Gilles Boulet
Summary: This study investigates the impact of aerodynamic resistance (r(a)) and its relation to land surface temperature (LST) uncertainties on the performance of three different surface energy balance (SEB) models in water-limited ecosystems. The results show that the models tend to overestimate latent heat flux (LE) due to underestimation of sensible heat (H), with discrepancies in r(a) retrievals playing a major role in causing this overestimation. On the other hand, LST differences have a minor influence on the estimation of LE.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Forestry
Roman Gorbunov, Vladimir Tabunshchik, Tatiana Gorbunova, Mariia Safonova
Summary: This article discusses the processes of moisture intake, redistribution, and consumption within the downy oak forest community, along with their interannual and interseasonal water balance dynamics. The study finds that precipitation and evapotranspiration are the key factors affecting the water balance, and stemflow and relief features play an important role in moisture redistribution. The research results provide insights into the internal organization of downy oak forests and contribute to scientific understanding.
Article
Environmental Sciences
Peng He, Rutian Bi, Lishuai Xu, Zhengchun Liu, Fan Yang, Wenbiao Wang, Zhengnan Cui, Jingshu Wang
Summary: Continuous monitoring of evapotranspiration (ET) at high spatio-temporal resolutions is important for managing agricultural water resources in arid and semi-arid regions. Using the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM), this study calculated the ET of winter wheat in Linfen Basin, a semi-arid region, at a resolution of 30 m and 8 d. The study analyzed the impact of meteorological factors on ET during the main growth period of winter wheat. The findings provide valuable information for drought mitigation and regional food security strategies.
Article
Sport Sciences
Erik A. Willis, Seth A. Creasy, Pedro F. Saint-Maurice, Sarah Kozey Keadle, Hermann Pontzer, Dale Schoeller, Richard P. Troiano, Charles E. Matthews
Summary: This study explored the relationship between physical activity and total energy expenditure in older adults, highlighting the role of energy balance status. The results showed that the impact of physical activity on total energy expenditure differed depending on whether individuals were in a positive or negative energy balance state. A prospective study with sufficient power is needed to confirm these initial findings.
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2022)
Article
Environmental Sciences
Teerawat Suwanlertcharoen, Thodsapol Chaturabul, Thanaporn Supriyasilp, Kobkiat Pongput
Summary: In this study, satellite-based METRIC technique was used to estimate the spatiotemporal distribution of actual evapotranspiration (ETa) in northern Thailand, which has rarely been done in southeast Asia. The results showed a strong correlation between METRIC and FAO-56 dual-crop coefficient method. The study concludes that METRIC is a reliable tool for estimating ETa and improving water resource management efficiency over large areas.
Article
Geosciences, Multidisciplinary
Seunghee Lee, Seohui Park, Myong-In Lee, Ganghan Kim, Jungho Im, Chang-Keun Song
Summary: This study used a machine learning algorithm to estimate ground-level particulate matter (PM) and applied it to a weather forecasting model. Initializing the model with the new analysis data significantly reduced analysis error and improved forecast skill. The synergistic use of data assimilation and machine learning can maximize the effectiveness of satellite-based air quality forecasts at the ground.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Sihun Jung, Cheolhee Yoo, Jungho Im
Summary: A novel two-step data fusion framework was proposed to generate high-resolution seamless daily sea surface temperature (SST) products from multi-satellite data sources, and its performance was evaluated over the Kuroshio Extension in the Northwest Pacific. The results showed promising results and the superiority of the proposed approach using multi-satellite data sources.
Article
Environmental Sciences
Seohui Park, Jungho Im, Jhoon Kim, Sang-Min Kim
Summary: This study proposes a novel real-time learning approach to estimate PM concentrations in Northeast Asia, utilizing satellite aerosol data and numerical model outputs. The method shows consistent improvement on both hourly and monthly scales.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Man Wang, Jungho Im, Yinghui Zhao, Zhen Zhen
Summary: This study explores the non-destructive estimation of individual tree aboveground biomass using unmanned aerial vehicle and terrestrial LiDAR data. The results show that the hierarchical Bayesian method and multi-platform LiDAR data provide a potential solution for accurate individual tree AGB modeling with small sample sizes.
Article
Environmental Sciences
Yeji Shin, Juhyun Lee, Jungho Im, Seongmun Sim
Summary: In this study, a geostationary-satellite-based approach for estimating the center of tropical cyclones (TCs) is proposed. The approach utilizes a score matrix (SCM) and an enhanced logarithmic spiral band (LSB) to determine an accurate TC center. The experimental results show that the proposed method outperforms existing approaches, particularly in detecting strong TCs.
Article
Geography, Physical
Young Jun Kim, Daehyeon Han, Eunna Jang, Jungho Im, Taejun Sung
Summary: Salinity is a critical factor that affects the circulation and heat transport of oceans. Satellite remote sensing has been used to monitor sea surface salinity (SSS) since 2009. This study reviews the methods of retrieving SSS from satellites and provides guidelines for future research. The limitations and challenges of satellite-derived SSS are also discussed.
GISCIENCE & REMOTE SENSING
(2023)
Article
Geography, Physical
Yoojin Kang, Eunna Jang, Jungho Im, Chungeun Kwon
Summary: This study proposed a deep learning-based forest fire detection algorithm that effectively reduced detection latency and false alarms. By combining input features, the research demonstrated that temporal and spatial information contributed to improving the accuracy of machine learning techniques for fire detection.
GISCIENCE & REMOTE SENSING
(2022)
Article
Environmental Sciences
Seonyoung Park, Jaese Lee, Jongmin Yeom, Eunkyo Seo, Jungho Im
Summary: Drought has a significant impact on the economy of a region, and its severity is determined by the level of infrastructure in the affected area. This study compared drought indices in North Korea and South Korea to understand the differences in agricultural infrastructure and their impact on drought. The findings suggest that different agricultural systems result in different drought impacts.
Article
Agronomy
Sambandh Dhal, Briana M. Wyatt, Shikhadri Mahanta, Nishan Bhattarai, Sadikshya Sharma, Tapas Rout, Pradip Saud, Bharat Sharma Acharya
Summary: Climate change, land degradation, and limited resources have posed challenges to meeting food demand. Modern agriculture is utilizing IoT and associated technologies to improve productivity. This paper provides a comprehensive review of IoT platforms, wireless sensor networks, and other technologies in digital agriculture, discussing interoperability and opportunities for collaborative research.
Article
Environmental Sciences
Hyunyoung Choi, Seonyoung Park, Yoojin Kang, Jungho Im, Sanghyeon Song
Summary: Many studies have explored the use of satellite data, specifically aerosol optical depth (AOD), to produce real-time ground-level information on PM2.5. Machine learning-based research has emerged to overcome the computational demands of these techniques. In this study, ML techniques were used to estimate ground-level PM2.5 concentrations in South Korea using top-of-atmosphere reflectance from the GOCI-I and GOCI-II satellites. Three ML techniques and three input feature schemes were examined, with the results showing that LGBM performed the best. The use of GOCI-II-based models with its higher spatial resolution and TOA reflectance data reduced the missing rate of estimated PM2.5 concentrations by up to 50%.
ENVIRONMENTAL POLLUTION
(2023)
Article
Geography, Physical
Daehyeon Han, Minki Choo, Jungho Im, Yeji Shin, Juhyun Lee, Sihun Jung
Summary: Skillful quantitative precipitation nowcasting is important for predicting short-term intense precipitation. This study proposes an improved radar-based QPN model using the simpler yet better video prediction model and demonstrates its superior performance in independent evaluations. It shows robust performance under different precipitation conditions.
GISCIENCE & REMOTE SENSING
(2023)
Article
Meteorology & Atmospheric Sciences
Jinhyeok Yu, Chul H. Song, Dogyeong Lee, Sojin Lee, Hyun S. Kim, Kyung M. Han, Seohui Park, Jungho Im, Soon-Young Park, Moongu Jeon, Vincent-Henri Peuch, Pablo E. Saide, Gregory R. Carmichael, Jeeho Kim, Jhoon Kim, Chang-Keun Song, Jung-Hun Woo, Seong-Hyun Ryu
Summary: Concentrations of PM2.5 and PM10 in the environment have become a serious global environmental problem, causing deaths and economic losses. This study demonstrates that by combining information from ground observation networks, GEO satellite sensor, and an advanced air quality modeling system, the short-term predictability of PM2.5 over South Korea can be greatly improved. The study highlights the challenges of using LEO satellite observations and shows that the advanced modeling system with synergistically-combined information can achieve substantial enhancements in PM2.5 predictability.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Multidisciplinary Sciences
Nishan Bhattarai, David B. Lobell, Balwinder-Singh, Ram Fishman, William P. Kustas, Yadu Pokhrel, Meha Jain
Summary: Climate change is expected to increase crop water demand, leading to more irrigation. A study in India, a groundwater depletion hotspot, reveals that farmers have intensified groundwater withdrawals to adapt to warming temperatures, resulting in accelerated depletion rates. Even with projected increases in precipitation and possible decreases in irrigation use, the rates of net groundwater loss for the coming decades could be three times the current depletion rates, posing a threat to India's food and water security.
Article
Engineering, Electrical & Electronic
Seongmun Sim, Jungho Im
Summary: This study constructed machine-learning models for continuous ocean-fog detection based on the infrared channels of Himawari-8 satellite. The proposed model achieved high accuracy in both daytime and nighttime, accurately distinguishing between ocean-fog, clear skies, and clouds. The research findings can be utilized to improve operational ocean-fog detection and forecasting.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Remote Sensing
Siwoo Lee, Cheolhee Yoo, Jungho Im, Dongjin Cho, Yeonsu Lee, Dukwon Bae
Summary: This study proposes a hybrid analytical method to improve the detection of urban heat island effect by considering the dynamic structural changes of cities both horizontally and vertically. Temporal LCZ maps were constructed using a convolutional neural network, and downscaled models were developed to observe the detailed surface energy flux. A filtering method was employed to improve the reliability of the results.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)