Article
Environmental Sciences
Qiming Qin, Zihua Wu, Tianyuan Zhang, Vasit Sagan, Zhaoxu Zhang, Yao Zhang, Chengye Zhang, Huazhong Ren, Yuanheng Sun, Wei Xu, Cong Zhao
Summary: This paper discusses the use of optical and thermal remote sensing in agricultural drought monitoring, with a focus on four categories of methods and the potential of solar-induced chlorophyll fluorescence in early drought detection. Future directions in agricultural drought monitoring include improving early detection, enhancing spatio-temporal resolution, integrating multi-source data, and utilizing deep learning and cloud computing for smart prediction and assessment.
Review
Geosciences, Multidisciplinary
Niranga Alahacoon, Mahesh Edirisinghe
Summary: This study provides a comprehensive review of drought indices used in different fields. It identifies 111 drought indices, divided into traditional and remote sensing categories. The results show that meteorological drought monitoring uses the highest number of traditional indices, while agricultural drought monitoring uses the fewest. Additionally, the study highlights the increasing use of remote sensing indices with advancements in satellite technology.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Geosciences, Multidisciplinary
Alireza Farahmand, J. T. Reager, Nima Madani
Summary: The paragraph discusses the complexity of droughts and their slow evolution over time due to interactions between the atmosphere and the land surface. It emphasizes the use of satellite observations and reanalysis data to quantify cascade phenomena in major US drought case studies, aiming to enhance future predictability of drought events.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Wei Wei, Jing Zhang, Liang Zhou, Binbin Xie, Junju Zhou, Chuanhua Li
Summary: This study evaluated the applicability of different drought indices for monitoring drought events in China. It found that VCI and TCI are better for monitoring long-term drought conditions, while SPI-1 has a higher correlation with PCI for short-term drought monitoring. SMCI has better correlation with short-term in situ drought index. Correlations with combined drought indices were better than with single drought indices.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Geography
Maria Carolina Oliva Brasil, Raul de Magalhaes Filho, Mario Marcos do Espirito-Santo, Marcos Esdras Leite, Maria das Dores Magalhaes Veloso, Luiz Alberto Dolabela Falcao
Summary: The study found that palm swamps have undergone changes in land cover patterns over the past few decades, leading to an increase in degraded areas, influenced by surrounding factors such as road density. Surface temperature can effectively reflect the environmental quality of palm swamps, indicating a complex process influenced by environmental, social, and economic factors.
Article
Environmental Sciences
Niranga Alahacoon, Mahesh Edirisinghe
Summary: This study introduces a novel drought index for hydrological drought monitoring and applies it to five reservoirs in Sri Lanka, finding that it provides more accurate monitoring over large geographical areas.
Article
Remote Sensing
Wen Wen, Joris Timmermans, Qi Chen, Peter M. van Bodegom
Summary: This research assesses the tolerance of crops to combined drought and salinity stress. The study finds that the sensitivity of crops to these stresses varies with time and species, and provides a way to evaluate the tolerance of crops to multiple stresses. The findings can be applied to inform sustainable food production.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Elizabeth Wueste, Giulia Facchin, Pier Matteo Barone
Summary: This paper presents the results of a preliminary survey conducted in the central urban area of Rome, Italy, using desktop and remote sensing surveys. The survey discovered potentially buried structures correlated with ancient visible remains in the area, and the application of remote sensing approaches and GIS platform provides a nuanced understanding of urban archaeology in the dense topography of Rome.
Article
Agronomy
Haigen Zhao, Yingchun Huang, Xiaowei Wang, Xiaoyu Li, Tianjie Lei
Summary: This study modified and derived the standard Penman-Monteith (PM) model based on meteorological factors and remote sensing data to calculate the modified Standardized Precipitation Evapotranspiration Index (SPEI). The performance of the PMRS-SPEI in agricultural drought monitoring was evaluated and compared with SPEIs based on FAO56 reference evapotranspiration and a simplified version of the PM model. The results showed that the PMRS-SPEI performed better in agricultural drought monitoring.
FIELD CROPS RESEARCH
(2023)
Article
Environmental Sciences
Firat Erdem, Rutkay Atun, Zehra Yigit Avdan, Ilknur Atila, Ugur Avdan
Summary: Drought is defined as a situation where the amount of precipitation in a region is less than the amount of evaporation. Human activities such as population growth, industrialization, deforestation, and excessive irrigation in agriculture are major factors contributing to drought. This study used remote sensing and GIS methods to analyze the drought change in the Van Lake Basin from 1989 to 2019, showing an increasing trend in drought severity over the years.
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
(2021)
Article
Environmental Sciences
Qi Chen, Joris Timmermans, Wen Wen, Peter M. van Bodegom
Summary: Monitoring the impact of drought is crucial in the face of climate change. This study presents a new framework that allows for a detailed exploration of the relationship between drought and its impact on ecosystems. The framework focuses on estimating the temporal evolution and anomalies of both hydrological and ecosystem conditions during a drought event. The study evaluates the vulnerability of various vegetation types to drought using high spatiotemporal resolution data from the Netherlands and Belgium in 2018. The results reveal differential vulnerability among ecosystems and provide insights for future drought impact predictions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Biodiversity Conservation
Md. Ashhab Sadiq, Showmitra Kumar Sarkar, Saima Sekander Raisa
Summary: This study conducted an extensive assessment of meteorological drought in northern Bangladesh using remote sensing indices and machine learning techniques. The findings showed that precipitation strongly influenced both short-term and long-term drought episodes, and different remote sensing indices had varying impacts on drought events. The study also identified frequent extreme and severe drought events in the Rajshahi division over the past decade. The research methodology and results contribute valuable insights for the formulation of targeted drought mitigation strategies in northern Bangladesh.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Muhammad Al-Amin Hoque, Biswajeet Pradhan, Naser Ahmed, Md Shawkat Islam Sohel
Summary: This study developed a comprehensive agricultural drought risk assessment approach using geospatial techniques, incorporating hazard, vulnerability, exposure, and mitigation capacity components. The approach was applied to Northern New South Wales region of Australia, revealing that about 19.2% and 41.7% areas are under very-high and moderate to high risk to agricultural droughts, respectively, providing valuable information for relevant authorities to formulate proactive agricultural drought mitigation strategies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Devendra Kumar, Arvind Dhaloiya, Ajeet Singh Nain, Mahendra Paal Sharma, Amandeep Singh
Summary: Soil erosion is a major concern at the watershed scale, with the study combining RUSLE modeling with remote sensing and GIS techniques to predict soil erosion in Nainital district, India. The results showed that the majority of the district is covered with forest, with annual average soil loss ranging from 20 to 80 t ha(-1) yr(-1) and prioritized watersheds for conservation efforts identified.
Article
Environmental Sciences
Foyez Ahmed Prodhan, Jiahua Zhang, Fengmei Yao, Lamei Shi, Til Prasad Pangali Sharma, Da Zhang, Dan Cao, Minxuan Zheng, Naveed Ahmed, Hasiba Pervin Mohana
Summary: The study aims to monitor drought in South Asia using deep learning approach, showing that the DFNN model outperformed others for SMDI prediction and captured high spatial variability of drought patterns. The model also displayed good stability and high correlation coefficients with in-situ SPEI, indicating its applicability for comprehensive drought monitoring.
Article
Engineering, Civil
Rasoul Daneshfaraz, Celso Augusto Guimaraes Santos, Reza Norouzi, Mahsa H. Kashani, Mohammad AmirRahmani, Shahab S. Band
Summary: This research investigates the efficiency of intelligence methods in predicting relative energy dissipation on an inclined drop with a screen. The results indicate that the hybrid SVM-HHO method performs more precisely than the standalone SVM model in estimating relative energy dissipation on the inclined drop.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2023)
Article
Meteorology & Atmospheric Sciences
Daris Correia dos Santos, Celso Augusto Guimaraes Santos, Reginaldo Moura Brasil Neto, Richarde Marques da Silva, Carlos Antonio Costa dos Santos
Summary: This study investigates the influence of different atmospheric teleconnections on annual precipitation variability in Northeast Brazil based on precipitation data from 1901 to 2013. It analyzes the influence of various teleconnections on total annual precipitation considering the physical characteristics of four subregions. The results show that the Atlantic Multidecadal Oscillation (AMO) has a significant influence on the Backwoods region, while the Pacific Decadal Oscillation (PDO) has a greater control over climatic patterns in Northeast Brazil.
Article
Ecology
Celso Augusto Guimaraes Santos, Gleycielle Rodrigues do Nascimento, Camilo Allyson Simoes de Farias, Richarde Marques da Silva, Manoranjan Mishra
Summary: This study presents a methodology that improves streamflow forecasting by using wavelet neural networks to relate streamflows with rainfall data. The methodology performs well in long-term forecasts, especially in the Mahanadi River basin, and can be applied in other catchments.
ECOLOGICAL INFORMATICS
(2023)
Article
Environmental Sciences
Cynthia Alves Felix de Sousa, Jose Augusto Ribeiro da Silveira, Celso Augusto Guimaraes Santos, Richarde Marques da Silva
Summary: Urbanization and changes in urban spaces have resulted in severe environmental and social problems in large Brazilian cities. This study proposes a methodology to analyze urban sprawl, negative environmental impacts, and land degradation. The methodology utilizes remote sensing data, environmental modeling techniques, and mixed-method analyses to evaluate impacts from 1991 to 2018. The results indicate conflicts in land use and cover, inadequate sanitation infrastructure, and a lack of environmental monitoring. A reduction in arboreal vegetation and high fecal coliform levels were observed, along with various negative environmental impacts. The study area was found to have a medium degree of significance in terms of environmental impacts.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Review
Green & Sustainable Science & Technology
Manoranjan Mishra, Sudarsan Desul, Celso Augusto Guimaraes Santos, Shailendra Kumar Mishra, Abu Hena Mustafa Kamal, Shreerup Goswami, Ahmed Mukalazi Kalumba, Ramakrishna Biswal, Richarde Marques da Silva, Carlos Antonio Costa dos Santos, Kabita Baral
Summary: This study uses bibliometric analysis to investigate the progress, challenges, opportunities, trends, and prospects of the Sustainable Development Goals (SDGs) from 2015 to 2022. The results show that SDG-related research is mainly conducted in the USA, China, and the UK, with core research topics including SDGs, climate change, Agenda 2030, the circular economy, poverty, and global health.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Editorial Material
Geosciences, Multidisciplinary
Celso Augusto Guimaraes Santos, Chunhui Li, Qiang Liu
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Environmental Sciences
Bilel Zerouali, Celso Augusto Guimaraes Santos, Thiago Victor Medeiros do Nascimento, Richarde Marques da Silva
Summary: This paper assesses trends in forest cover loss and land use changes in northern Algeria between 2000 and 2020 using datasets extracted from Google Earth Engine. The results showed a significant decrease in forest area and an increase in barren land, with the Constantinois-Seybousse-Mellegue hydrographic basin being the most affected by deforestation. Nonparametric tests indicated increasing trends of forest cover loss in seven river basins. The study emphasizes the alarming situation of forest loss in Algeria and the need for urgent measures to protect forests and the ecological system.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Maria Cecilia Silva Souza, Karina Massei, Pedro Costa Guedes Vianna, Celso Augusto Guimaraes Santos, Manoranjan Mishra, Richarde Marques da Silva
Summary: This study analyzed the diversity and conservation status of macrobenthos in the Seixas coral reef, proposed a zoning plan, and provided decision-makers with a snapshot of species distribution and a methodology for assessing environmental impacts.
MARINE POLLUTION BULLETIN
(2023)
Letter
Ecology
Gabriel de Oliveira, Guilherme Mataveli, Scott C. Stark, Matthew W. Jones, Rachel Carmenta, Nathaniel A. Brunsell, Celso A. G. Santos, Carlos A. da Silva Junior, Helenilza F. A. Cunha, Alan C. da Cunha, Carlos A. C. dos Santos, Hannah Stewart, Vanessa Boanada Fuchs, Skye Hellenkamp, Paulo Artaxo, Ane A. C. Alencar, Paulo Moutinho, Yosio E. Shimabukuro
NATURE ECOLOGY & EVOLUTION
(2023)
Article
Geosciences, Multidisciplinary
Manoranjan Mishra, Tamoghna Acharyya, Bijay Halder, Celso Augusto Guimara Santos, Richarde Marques da Silva, Nihar Ranjan Rout, Debdeep Bhattacharyya
Summary: This study comprehensively analyzes the impacts of Tropical Cyclone Yaas on the mangrove forest in Bhitarkanika National Park, revealing significant ecosystem loss and changes in vegetation vigor and soil conditions, particularly an increase in salinity.
JOURNAL OF MARINE SYSTEMS
(2024)
Article
Environmental Sciences
Suman Paul, Manoranjan Mishra, Saswati Pati, Tamoghna Acharyya, Celso Augusto Guimaraes Santos, Richarde Marques da Silva, Rajkumar Guria, F. X. Anjar Tri Laksono
Summary: This study aims to elucidate the overwash vulnerability and shoreline dynamics in Sagar Island, examining the period from 2000 to 2020. The study findings indicate a heightened susceptibility to overwash intrusion, especially in the years following severe cyclonic events. Additionally, there is a strong positive correlation between shoreline recession and climatic variables, confirming the impact of climate change and extreme weather events on both overwash vulnerability and shoreline dynamics.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
