Article
Environmental Sciences
Shicheng Liao, Xiong Xu, Huan Xie, Peng Chen, Chao Wang, Yanmin Jin, Xiaohua Tong, Changjiang Xiao
Summary: Using a modified shape model combined with continuous AGDD calculation improves the prediction of phenological periods compared to traditional methods. The method proposed in this paper provides more accurate estimation for cases where daily average temperature may not accurately reflect the accumulated temperature needed for crop growth.
Article
Geochemistry & Geophysics
Benjamin D. Roth, M. Grady Saunders, Charles M. Bachmann, Jan van Aardt
Summary: Remote sensing is an increasingly important tool for forest management. However, many models currently used in forest metrics development neglect the individual leaf bidirectional scattering distribution function (BSDF). This study focuses on estimating broadleaf bidirectional transmittance distribution functions (BTDFs) using the goniometer of the Rochester Institute of Technology-Two (GRIT-T). The developed microfacet models accurately predict leaf BTDF for any illumination and view angle combination, providing valuable physical quantities related to leaf optical properties.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Entomology
Lorenzo Franceschetti, Jennifer Pradelli, Fabiola Tuccia, Giorgia Giordani, Cristina Cattaneo, Stefano Vanin
Summary: The post mortem interval (PMI) is crucial in death investigations, with methods such as total body score (TBS)/accumulated degree-days (ADDs) and insect development being commonly used. This study compared the two methods in 30 forensic cases in northern Italy, emphasizing the importance of the entomological approach and the limits of the TBS/ADD method. Further research on different taxa is needed to improve the accuracy of PMI estimation based on the entomological approach, especially in indoor conditions.
Article
Agronomy
Iphigenia Keramitsoglou, Panagiotis Sismanidis, Olga Sykioti, Vassilios Pisinaras, Ioannis Tsakmakis, Andreas Panagopoulos, Argyrios Argyriou, Chris T. Kiranoudis
Summary: A new satellite-enabled interoperable service called SENSE-GDD has been developed to provide high-resolution and continuous time series of Growing Degree Days (GDDs) at the field level. Using MSG-SEVIRI data acquired by the EUMETCast station, the service calculates GDDs and downscales them on-the-fly to improve the spatial resolution. The reliability of SENSE-GDD in deriving accurate GDD timeseries at key phenological stages is assessed using in situ air temperature measurements from weather stations in vineyards and an apple orchard in Greece, and the assessment shows promising results.
Article
Agriculture, Multidisciplinary
Binxiang Qian, Wenjiang Huang, Donghui Xie, Huichun Ye, Anting Guo, Yuhao Pan, Yin Jin, Qiaoyun Xie, Quanjun Jiao, Biyao Zhang, Chao Ruan, Tianjun Xu, Yong Zhang, Tiange Nie
Summary: A improved crop growth model is proposed in this study, which can simulate and visualize the structural parameters of the maize canopy at different levels. The results show that the model has high accuracy and stability in simulating the canopy parameters.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Environmental Sciences
Eva Neuwirthova, Andres Kuusk, Zuzana Lhotakova, Joel Kuusk, Jana Albrechtova, Lea Hallik
Summary: This study investigated the seasonal changes in biophysical, anatomical, and optical traits of young leaves formed by sylleptic growth and mature leaves formed by proleptic growth. Leaf developmental categories were found to influence top-of-canopy reflectance and should be considered in remote sensing studies. It was also suggested that sampling both young and mature leaves is necessary for robust linear models in remote sensing research.
Article
Ecology
Kamel Soudani, Nicolas Delpierre, Daniel Berveiller, Gabriel Hmimina, Jean-Yves Pontailler, Lou Seureau, Gaelle Vincent, Eric Dufrene
Summary: Tree phenology plays a crucial role in forest-atmosphere mass and energy exchanges. Methods such as GCC, NDVI, and CC were found to be effective in predicting budburst dates. The ADS method used for deriving phenological markers showed biased estimates for GPP and GCC. The study demonstrates that proximal-sensing methods can provide robust phenological metrics for long-term monitoring.
Article
Biodiversity Conservation
Yan Lv, Honglin He, Xiaoli Ren, Li Zhang, Keyu Qin, Xiaojing Wu, Zhongen Niu, Lili Feng, Qian Xu, Mengyu Zhang
Summary: Research has found that China's forest ecosystems mainly experience moderate drought events, with deciduous forests exhibiting high resistance and evergreen forests showing high recovery rates. There are significant differences in resistance and recovery rates between deciduous and evergreen forests in spring, autumn, and winter. Climatic variables play a dominant role in influencing resistance and recovery rates under moderate drought conditions.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Litong Chen, Yi Zhang, Matheus Henrique Nunes, Jaz Stoddart, Sacha Khoury, Aland H. Y. Chan, David A. Coomes
Summary: Field spectroscopy is a powerful tool for accurately predicting seasonal changes in leaf functional traits, with better predictions for mature leaves. However, the models vary among species, making it difficult to accurately predict leaf traits for different species using a single model.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Biophysics
Antonio Marcos Massao Hachisuca, Mahuan Capeletto Abdala, Eduardo Godoy de Souza, Marlon Rodrigues, Diandra Ganascini, Claudio Leones Bazzi
Summary: Monitoring the climate conditions of crops is crucial for smart agriculture development and adaptation in the era of global change. This study analyzed the growing degree-hours and degree-days of wheat in two management zones and used low-cost agroclimatological stations for monitoring field production. The results showed the importance of evaluating agroclimatological parameters for monitoring wheat crops.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Environmental Sciences
Ioannis Charalampopoulos, Iliana Polychroni, Emmanouil Psomiadis, Panagiotis Nastos
Summary: The research focuses on constructing simple and reliable equations for calculating and projecting the growing degree days for olive and vine cultivations in the Balkans. Results show that time is the most influential parameter, followed by latitude, for both crops.
Article
Agronomy
Austin M. Brown, James R. Harris, Clebson G. Goncalves, John M. Peppers, Simone Magni, Marco Volterrani, J. Scott McElroy
Summary: Trinexapac-ethyl (TE) is commonly used on ultradwarf bermudagrass putting greens for growth suppression. Proper timing of reapplications is key for maximizing benefits, with GDD(0) intervals of 100 and 200 being the most effective. Discoloration and severity of effects increase with higher TE rates.
Article
Agronomy
Austin M. Brown, James R. Harris, Clebson G. Goncalves, John M. Peppers, Simone Magni, Marco Volterrani, J. Scott McElroy
Summary: Applying trinexapac-ethyl (TE) for growth suppression and quality improvement of ultradwarf bermudagrass putting greens is common practice. Research suggests that using growing degree-days (GDD) effectively predicts suppression, with the GDD (0 degrees C base temperature) model showing the best prediction. The study did not indicate a rebound period following a single TE application.
Article
Green & Sustainable Science & Technology
Alma Delia Baez-Gonzalez, Alicia Melgoza-Castillo, Mario Humberto Royo-Marquez, James R. Kiniry, Manyowa N. Meki
Summary: This study developed a distribution model for Gossypium aridum in Mexico using GIS software and data from Mexican databases. It identified geographic regions with similar environmental conditions to where the species currently exists. The results showed that flowering growing degree days (FGDD) had a greater influence on the species' distribution. These findings are important for guiding collection expeditions and studying the impact of climate on species distribution.
Article
Agronomy
Yufeng Zou, Qaisar Saddique, Wenjun Dong, Ying Zhao, Xi Zhang, Jianchao Liu, Dianyuan Ding, Hao Feng, Ole Wendroth, Kadambot H. M. Siddique
Summary: The study revealed that plastic film mulching has a compensatory effect on crop growing degree days by increasing soil temperature, and the logistic equation can be used to describe and quantify this compensatory effect. It was found that a terminal time exists for the compensatory effect window during winter wheat and summer maize growing seasons, and this terminal time can be estimated using thermal time nodes. Compensatory coefficients tend to increase with maize plant development, and the minimum data requirement using a logistic equation to calculate compensatory coefficients includes data for staged plant height and mean daily air temperature.
FIELD CROPS RESEARCH
(2021)
Review
Environmental Sciences
Chiara Belvederesi, Mohamed S. Zaghloul, Gopal Achari, Anil Gupta, Quazi K. Hassan
Summary: This review provides an overview of the current research status and progress in river flow forecasting, with a focus on cold climates and ungauged locations. River flow forecasting in cold regions is challenging due to high variability and limited monitoring. The Predictions in Ungauged Basins initiative offers methods to improve forecasting performance, including regionalization and spatial calibration. Process-based models show improvement by incorporating remote-sensing data, while empirical models with machine learning techniques demonstrate exceptional accuracy.
ENVIRONMENTAL REVIEWS
(2022)
Article
Meteorology & Atmospheric Sciences
Abu Yousuf Md Abdullah, Md Hanif Bhuian, Grigory Kiselev, Ashraf Dewan, Quazi K. Hasan, M. Rafiuddin
Summary: This study aimed to understand the trends in extreme climatic events in coastal and inland areas of Bangladesh. Results showed significant warming in both areas, with coastal areas experiencing a higher rate of warming. While most extreme rainfall indices did not show significant changes, there was evidence of localized dryness and increased rainfall at individual stations. The decrease in rainfall in the drought-prone northwestern region was contrary to previous studies.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Multidisciplinary Sciences
Dhananjay Deshmukh, M. Razu Ahmed, John Albino Dominic, Mohamed S. Zaghloul, Anil Gupta, Gopal Achari, Quazi K. Hassan
Summary: The objective of this study was to quantify the similarity in meteorological measurements of 17 stations under three weather networks in the Alberta oil sands region. Various methods were used to find correlations and determine the optimal number of stations, which could be critical to rationalize/optimize weather networks in the study area.
Article
Chemistry, Multidisciplinary
Dhananjay Deshmukh, M. Razu Ahmed, John Albino Dominic, Mohamed S. Zaghloul, Anil Gupta, Gopal Achari, Quazi K. Hassan
Summary: This study focused on identifying similarities in weather parameters collected from 19 stations within three weather networks in the Lower Athabasca River Basin. The stations were categorized into seven groups based on similar topography and land cover. The analysis revealed variations in similarities among the groups for different weather parameters. The findings could be crucial for optimizing existing weather networks and developing meteorological prediction models.
APPLIED SCIENCES-BASEL
(2022)
Review
Engineering, Electrical & Electronic
M. Razu Ahmed, Ebrahim Ghaderpour, Anil Gupta, Ashraf Dewan, Quazi K. Hassan
Summary: Understanding land surface temperature (LST) trends is essential for developing strategies to cope with climate change. This article reviews studies on spaceborne sensor-based LST trends using thermal infrared (TIR) and passive microwave (PMW) observations. Most studies use TIR, particularly MODIS observations. Challenges and research gaps in utilizing TIR and PMW observations are identified, along with recommendations for future investigations and directions to overcome limitations.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Analytical
Md. Mahbub Alam, A. S. M. Mahtab, M. Razu Ahmed, Quazi K. Hassan
Summary: This research examined the characteristics of cold days and spells in Bangladesh and quantified their rate of change during the winter months of 2000-2021. It found that cold days were more prevalent in the west-northwestern regions and gradually decreased towards the south and southeast. The highest number of cold spells occurred in the northwest Rajshahi division, while the lowest occurred in the northeast Sylhet division.
Article
Environmental Sciences
Mohamed Shawky, Quazi K. K. Hassan
Summary: This study aims to map and predict flash flood prone areas using the analytic hierarchy process (AHP) that integrates GIS capabilities, remote sensing datasets, the NASA Giovanni web tool application, and principal component analysis (PCA). Nineteen flash flood triggering parameters were considered, and the PCA algorithm was used to reduce subjectivity. The results showed that the AHP model had excellent predictive accuracy of 91.6%.
Article
Environmental Sciences
Hatef Dastour, Anil Gupta, Gopal Achari, Quazi K. K. Hassan
Summary: Stream and river monitoring play a crucial role in various industries such as agriculture, fishing, land surveillance, and oil and gas. This study introduces a new algorithm, Regime Shift Change Detection (RSCD), which can identify periods and regime changes without assumptions about their length. Two specializations of this algorithm, RSCD with Relative Difference (RSCD-RD) and RSCD with Growth Rate (RSCD-GR), were compared and their advantages were discussed. RSCD-RD outperformed RSCD-GR in detecting regime changes with general thresholds for cold and warm months. A regime change was detected in the monthly streamflow data of the Athabasca River at Athabasca, but not below Fort McMurray, suggesting possible factors such as water clarity and industrial water usage.
Article
Chemistry, Multidisciplinary
Md. Mahbub Alam, A. S. M. Mahtab, M. Razu Ahmed, Quazi K. Hassan
Summary: This study used the 10th percentiles of daily minimum and maximum temperatures during 1971-2000 to estimate a threshold for cold days. By applying this threshold to the winter months of 2000-2021, the number and trends of cold days and spells were calculated. The results showed that there were more cold days in the western and northwestern districts of Bangladesh compared to the southern, southeastern, and northeastern districts. Dinajpur and Rajshahi districts had the highest number of extreme and severe cold days, while Rajshahi division had the highest number of cold spells on average. The 10P method proposed in this study could be useful for policymakers in formulating strategies to minimize the impact of cold weather in Bangladesh.
APPLIED SCIENCES-BASEL
(2023)
Article
Water Resources
Hatef Dastour, Quazi K. Hassan
Summary: Having a complete hydrological time series is crucial but challenging in data-scarce environments. This study introduces an ensemble machine-learning regression framework to accurately model and predict monthly streamflow using historical data from multiple datasets.
Article
Ecology
M. Razu Ahmed, Quazi K. Hassan
Summary: This study analyzed the trends in forest fire occurrences, burned areas, and seasonality in the forested subregions of Alberta from 1959 to 2021. The results showed that all subregions, except for the Alpine subregion, experienced significantly increasing trends in fire occurrences. For burned areas, nine ecoregions showed decreasing monthly trends for small fires caused by humans, except for one subregion with an increasing trend in May. The study also revealed changes in the start and end of fire seasons, with longer fire seasons observed in five ecoregions. These findings provide valuable insights for fire management agencies and strategic planning.
Article
Green & Sustainable Science & Technology
Hatef Dastour, Quazi K. K. Hassan
Summary: The pace of LULC change has accelerated due to population growth, industrialization, and economic development. Recent advances in deep learning, transfer learning, and remote sensing technology have simplified the LULC classification problem. Deep transfer learning is particularly useful for addressing the issue of insufficient training data.
Article
Remote Sensing
Hatef Dastour, Ebrahim Ghaderpour, Mohamed Sherif Zaghloul, Babak Farjad, Anil Gupta, Hyung Eum, Gopal Achari, Quazi K. Hassan
Summary: Monitoring spatiotemporal changes in climate and vegetation coverage is crucial for various management purposes. This study implemented the LSWAVE software to investigate the relationship between climate and vegetation time series. The results showed that there is coherence and time delay between the seasonal cycles of climate and vegetation. The LSWAVE algorithm is advantageous for analyzing such relationships and outperforms traditional algorithms.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Engineering, Electrical & Electronic
Hatef Dastour, Ebrahim Ghaderpour, Quazi K. Hassan
Summary: Surface water/ice dynamic monitoring is crucial for various purposes and remote sensing satellite data have made it possible to monitor such dynamics. This study proposes a combined approach using Landsat-8 and Sentinel-1 data to create monthly change maps and investigate the separation of water/ice from land. The results show that the indices MNDWI and VH are the most effective for creating the change maps.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Meteorology & Atmospheric Sciences
Dhananjay Deshmukh, M. Razu Ahmed, John Albino Dominic, Anil Gupta, Gopal Achari, Quazi K. Hassan
Summary: The objective of this study was to determine an optimal network for wind data measurement in the Athabasca Oil Sands Area. Both graphical and quantitative methods were used to analyze the correlations and similarities between weather stations in different networks. The results suggested that all weather stations would be required to effectively measure wind data in the area.
