Improvement of growth and physiological characteristics and antioxidant enzyme activity under drought stress in almond (Prunus dulcis L.) using selected promising almond genotypes DOI Creative Commons

Shabnam Gohari,

Ali Imani, Alireza Talaei

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: April 24, 2023

Abstract The scarcity of water is a primary obstacle to the growth and performance horticultural crops. In this study, physiological developmental response promising almond genotypes under deficit irrigation was investigated. This research conducted as factorial experiment consisting two factors in completely randomized design with three replications during 2019 2020, at Temperate Fruit Research Center, Horticultural Institute. first factor genotype ten levels, second drought stress levels. results showed that (such plant height, trunk diameter top plant, length new branch growth, leaf yellowness) characteristics such chlorophyll index based on SPAD criterion, relative content, fluorescence activity enzymes including SOD, POD, CAT APX. according type conditions were different. Among traits studied, higher proline, RWC F V /F m indicated ability tolerate almonds. According present for instance, has significant effect photochemical efficiency ( ) 10 selected genotypes. So that, AH1-99 0.585 shows lowest value A-7-100 0.751 highest value. These indicate genotypes, A-7-100, A-100-13, A-100-8 more tolerance adaptation than other respectively. are considered further evaluation confirm varieties order recommend them general cultivation farmer's fields drought-affected areas. drought-sensitive A-124-1 also identified which rich assets be used contrasting parents hybridization programs.

Language: Английский

Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran) DOI Creative Commons
Mohammad Mansourmoghaddam, Imán Rousta, Hamid Reza Ghafarian Malamiri

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 454 - 454

Published: Jan. 24, 2024

The pressing issue of global warming is particularly evident in urban areas, where thermal islands amplify the effect. Understanding land surface temperature (LST) changes crucial mitigating and adapting to effect heat islands, ultimately addressing broader challenge warming. This study estimates LST city Yazd, Iran, field high-resolution image data are scarce. assessed through parameters (indices) available from Landsat-8 satellite images for two contrasting seasons—winter summer 2019 2020, then it estimated 2021. modeled using six machine learning algorithms implemented R software (version 4.0.2). accuracy models measured root mean square error (RMSE), absolute (MAE), logarithmic (RMSLE), standard deviation different performance indicators. results show that gradient boosting model (GBM) algorithm most accurate estimating LST. albedo NDVI features with greatest impact on both (with 80.3% 11.27% importance) winter 72.74% 17.21% importance). 2021 showed acceptable seasons. GBM each seasons useful modeling based learning, support decision-making related spatial variations temperatures. method developed can help better understand island mitigation strategies improve human well-being enhance resilience climate change.

Language: Английский

Citations

16
Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review DOI Creative Commons
Rosa Maria Cavalli

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 446 - 446

Published: Jan. 23, 2024

Since 1971, remote sensing techniques have been used to map and monitor phenomena parameters of the coastal zone. However, updated reviews only considered one phenomenon, parameter, data source, platform, or geographic region. No review has offered an overview that can be accurately mapped monitored with data. This systematic was performed achieve this purpose. A total 15,141 papers published from January 2021 June 2023 were identified. The 1475 most cited screened, 502 eligible included. Web Science Scopus databases searched using all possible combinations between two groups keywords: geographical names in areas platforms. demonstrated that, date, many (103) (39) (e.g., coastline land use cover changes, climate change, urban sprawl). Moreover, authors validated 91% retrieved parameters, 39 1158 times (88% combined together other parameters), 75% over time, 69% several compared results each available products. They obtained 48% different methods, their 17% GIS model techniques. In conclusion, addressed requirements needed more effectively analyze employing integrated approaches: they data, merged

Language: Английский

Citations

11
Land reclamation and its consequences: A 40-year analysis of water residence time in Doha Bay, Qatar DOI Creative Commons

Mathieu Lecart,

Thomas Dobbelaere, Lauranne Alaerts

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(1), P. e0296715 - e0296715

Published: Jan. 31, 2024

Qatar’s rapid industrialization, notably in its capital city Doha, has spurred a surge land reclamation projects, leading to constriction of the entrance Doha Bay. By reducing and deflecting ocean circulation, projects have reduced effective dispersion wastewater introduced into bay hence degraded water quality. Here, we assess fluctuations residence time across three distinct eras (1980, 2000, 2020) gauge impact successive developments. To do this, couple multi-scale model SLIM with Lagrangian for within Doha’s coastal area. We consider different topographies shoreline identify which artificial structures contributed most increase time. Our findings reveal that residual circulation Bay was predominantly impacted by northern developments post-2000. Between 1980 bay’s saw modest rise, about one day on average. However, this followed substantial surge, six days average, between 2000 2020, is mostly attributable The Pearl mega island development. Certain regions witnessed tripling Given ongoing population expansion along coast, it anticipated growth will persist, thereby exacerbating accumulation pollutants bay. suggest offshore can exert far-reaching, non-local impacts quality, need be properly assessed during planning stages such

Language: Английский

Citations

6
Investigating and predicting Land Surface Temperature (LST) based on remotely sensed data during 1987–2030 (A case study of Reykjavik city, Iceland) DOI
Mohammad Mansourmoghaddam, Imán Rousta, Mohammadsadegh Zamani

et al.

Urban Ecosystems, Journal Year: 2023, Volume and Issue: 26(2), P. 337 - 359

Published: March 21, 2023

Language: Английский

Citations

13
Remote sensing of 50 years of coastal urbanization and environmental change in the Arabian Gulf: a systematic review DOI Creative Commons

Basam Dahy,

Maryam Al-Memari,

Amal Al-Gergawi

et al.

Frontiers in Remote Sensing, Journal Year: 2024, Volume and Issue: 5

Published: Sept. 12, 2024

Since the 1970s oil boom, nations surrounding Arabian Gulf have witnessed rapid coastal urbanization, which accelerated in early 2000s with emergence of large-scale ‘mega-projects’ designed to accommodate growing populations, attract international investments, and promote tourism. This development surge has had profound environmental impacts, including significant habitat modification, land use cover (LULC) change, increased pressure. Remote sensing (RS) technologies become indispensable tools for monitoring these changes, offering cost-effective non-intrusive methods map assess zones. However, RS applications across been spatially limited, often focusing narrowly on specific cities or habitats while neglecting broader geographical dimensions urbanization. study addresses this gap by conducting a systematic review peer-reviewed literature from 1971 2022, covering regions eight bordering Gulf. A total 186 publications were categorized into three focal areas: 1) urbanization LULC, 2) marine habitats, 3) pressures state changes. The results reveal increase studies recent years, around two-thirds (64.3%) appearing between 2016 2022. Studies predominantly focused changes (35%), followed modification (27%), (20%). Geographically, research primarily concentrated coasts southern (UAE Qatar) western (Bahrain Saudi Arabia), where major urban centers are located, northern (Kuwait Iraq) Iranian coast less studied. highlights need integrated GIS-based systems that combine different sources data situ measurements evaluate as unified system. Expanding spatial coverage, enhancing temporal analysis, fostering regional collaboration necessary improve understanding management approach will more effectively inform decision-makers, support sustainable long-term resilience region.

Language: Английский

Citations

4
Analysis of the recent trends in vegetation dynamics and its relationship with climatological factors using remote sensing data for Caspian Sea watersheds in Iran DOI Creative Commons
Imán Rousta, Mohammad Mansourmoghaddam, Haraldur Ólafsson

et al.

International Agrophysics, Journal Year: 2022, Volume and Issue: 36(3), P. 139 - 153

Published: June 22, 2022

1. Alemu H., Senay G.B., Kaptue A.T., and Kovalskyy V., 2014. Evapotranspiration variability its association with vegetation dynamics in the Nile Basin, 2002-2011. Remote Sens., 6, 5885-908, https://doi.org/10.3390/rs6075.... CrossRef Google Scholar

Language: Английский

Citations

17
Hydrodynamic impacts of bridge construction and land reclamation on water residence time and flushing processes in Kuwait Bay DOI

Colin Scherpereel,

Yousef Alosairi, Jonathan Lambrechts

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 214, P. 117716 - 117716

Published: Feb. 28, 2025

Language: Английский

Citations

0
A Novel Approach for Ex Situ Water Quality Monitoring Using the Google Earth Engine and Spectral Indices in Chilika Lake, Odisha, India DOI Creative Commons
Sreemanti Das, Debabrata Nandi, Rakesh Ranjan Thakur

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(11), P. 381 - 381

Published: Oct. 30, 2024

Chilika Lake, a RAMSAR site, is an environmentally and ecologically pivotal coastal lagoon in India facing significant emerging environmental challenges due to anthropogenic activities natural processes. Traditional situ water quality monitoring methods are often labor intensive time consuming. This study presents novel approach for ex located on the east coast of India, utilizing Google Earth Engine (GEE) spectral indices, such as Normalized Difference Turbidity Index (NDTI), Chlorophyll (NDCI), total suspended solids (TSS). The methodology involves integration multi-temporal satellite imagery advanced indices assess key parameters, turbidity, chlorophyll-a concentration, sediments. NDTI value Lake increased from 2019 2021, Automatic Water Extraction (AWEI) method estimated TSS concentration. results demonstrate effectiveness this providing accurate comprehensive assessments, which crucial sustainable management Lake. Maps visualization presented using GIS software. can effectively detect floating algal blooms, identify pollution sources, determine changes over time. Developing intuitive dashboards tools help stakeholders engage with data-driven insights, increase community participation conservation, sources.

Language: Английский

Citations

2
Investigation and Prediction of the Land Use/Land Cover (LU/LC) and Land Surface Temperature (LST) Changes for Mashhad City in Iran during 1990–2030 DOI Creative Commons
Mohammad Mansourmoghaddam, Imán Rousta, Pedro Cabral

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(4), P. 741 - 741

Published: April 19, 2023

Studies on how cities are affected by urban heat islands (UHI) critical nowadays for a better understanding of the connected effects and providing helpful insights sustainable city development planning. In this study, Landsat-5 Thematic Mapper (TM), Landsat-7 Enhanced Mapper+ (ETM+), Landsat-8 Operational Land Imager (OLI) images were used to assess dynamics spatiotemporal pattern land use/land cover (LU/LC) surface temperature (LST) in metropolitan Mashhad, Iran period between 1990 2019. The Markov chain model (MCM) was predict LU/LC LST 2030. analyzed maps, three classes distinguished, including built-up (BUL), vegetated (VL), bare (BL) using maximum likelihood (ML) classification method. collected data showed different variations geographical Mashhad during research that impacted metropolis. study evaluated their impact LST. value positively correlated with occurrence areas, while it negatively VL areas. analysis changes observed over decades 10-year intervals prediction 2030 constitute an important contribution delineation long records. These innovative results may have policymaking fostering environmental sustainability, such as control management expansion connection UHI.

Language: Английский

Citations

6
A remotely sensed study of the impact of meteorological parameters on vegetation for the eastern basins of Afghanistan DOI

Ahmad Farid Nabizada,

Imán Rousta,

Gholamali Mozaffari

et al.

Earth Science Informatics, Journal Year: 2023, Volume and Issue: 16(2), P. 1293 - 1312

Published: Feb. 23, 2023

Language: Английский

Citations

5