An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Jan. 19, 2023

The agriculture sector provides the majority of food supplies, ensures security, and promotes sustainable development. Due to recent climate changes as well trends in human population growth environmental degradation, need for timely agricultural information continues rise. This study analyzes predicts impacts change on security (FS). For 2002-2021, Landsat, MODIS satellite images predisposing variables (land surface temperature (LST), evapotranspiration, precipitation, sunny days, cloud ratio, soil salinity, moisture, groundwater quality, types, digital elevation model, slope, aspect) were used. First, we used a deep learning convolutional neural network (DL-CNN) based Google Earth Engine (GEE) detect land (AL). A remote sensing-based approach combined with analytical process (ANP) model was identify frost-affected areas. We then analyzed relationship between climatic, geospatial, topographical AL found negative correlations - 0.80, 0.58, 0.43, 0.45 LST, respectively. There is positive correlation quality 0.39, 0.25, 0.21, 0.77, areas elevation, aspect are 0.55, 0.40, 0.52, 0.35, 0.45, 0.39. Frost-affected have day, moisture 0.68, 0.23, 0.38, Our findings show that increase salinity associated decrease AL. Additionally, decreases decreasing quality. It also increase, well. Furthermore, when decrease. Finally, predicted FS threat 2030, 2040, 2050, 2060 using CA-Markov method. According results, will by 0.36% from 2030 2060. Between 2060, however, area very high about 10.64%. In sum, this accentuates critical region. proposed methods could be helpful researchers quantify different regions periods.

Language: Английский

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Continuing the continuous harvests of food production: from the perspective of the interrelationships among cultivated land quantity, quality, and grain yield

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 11, 2025

Language: Английский

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Beyond climate change: Examining the role of environmental justice, agricultural mechanization, and social expenditures in alleviating rural poverty

Sustainable Futures, Journal Year: 2023, Volume and Issue: 6, P. 100130 - 100130

Published: Sept. 7, 2023

Extreme weather events and extreme poverty are two sides of the same coin, with far-reaching consequences for emerging nations like Pakistan. Rural people more likely to experience inequality as climate change worsens. This research aspires close gap between environmental ethics justice by investigating how issues contribute in The study used Robust Least Squares (RLS) regression analyze impact water scarcity, temperatures, excessive rainfall on rural Pakistan from 1990Q1 2022Q4. Further, examines effect interventions, access healthcare education, agricultural value-added mechanization country's poverty. Results reveal that contributes Pakistan, while initiatives, access, automation alleviate incidence. Impulse Response Function (IRF) estimates suggested will be exacerbated over next decade high low value added but alleviated rainfall, intervention, mechanization. According Variance Decomposition Analysis (VDA) projections, substantially 2032, increasing it 11.431%. Addressing these problems requires policymakers prioritize interests most marginalized groups fostering fair results. Policies should cut GHG emissions encourage sustainable development combat change. Modernizing farming techniques expanding also necessary efficiency production. It is essential execute interventions so all communities have resources protections equitably. Promoting equitable outcomes reducing Pakistan's context may achieved closing justice.

Language: Английский

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How effective is twitter (X) social media data for urban flood management?

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 634, P. 131129 - 131129

Published: March 28, 2024

Language: Английский

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Valuing the effect of Capital goes to countryside on cropland abandonment: Evidence from rural China

Habitat International, Journal Year: 2025, Volume and Issue: 156, P. 103299 - 103299

Published: Jan. 15, 2025

Language: Английский

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Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farmland

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 309, P. 109349 - 109349

Published: Feb. 5, 2025

Language: Английский

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Effect of e-commerce popularization on farmland abandonment in rural China: Evidence from a large-scale household survey

Land Use Policy, Journal Year: 2023, Volume and Issue: 135, P. 106958 - 106958

Published: Nov. 9, 2023

Language: Английский

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Family farming in climate change: Strategies for resilient and sustainable food systems

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28599 - e28599

Published: March 22, 2024

Family farming plays a pivotal role in ensuring household food security and bolstering the resilience of systems against climate change. Traditional agricultural practices are evolving into context-specific, climate-resilient such as family farming, homestead gardening, urban agriculture. This study examines ways which can foster amidst vulnerabilities. A systematic literature review spanning past 22 years was undertaken to develop conceptual framework. From this review, 37 pertinent documents were identified, leading creation system The research posits that facilitates easy access nutrition by capitalizing on family-sourced land, labor, capital, securing technology markets. Each facet is intricately linked with sustainability principles. Local adaptation strategies employed climate-vulnerable households diminish their vulnerability augment adaptive, absorptive, transformative capacities, enabling them establish system. further reveals families employ myriad fortify systems. These include crop diversification, adjusting planting times, cultivating high-value crops fish, fruit trees, rearing poultry livestock, leveraging resources-including homesteads-to nutrition. endorses framework offers multiple metrics for assessing developing countries.

Language: Английский

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Integration of Sentinel-1 and Sentinel-2 Data for Ground Truth Sample Migration for Multi-Temporal Land Cover Mapping

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1566 - 1566

Published: April 28, 2024

Reliable and up-to-date training reference samples are imperative for land cover (LC) classification. However, such datasets not always available in practice. The sample migration method has shown remarkable success addressing this challenge recent years. This work investigated the application of Sentinel-1 (S1) Sentinel-2 (S2) data migration. In addition, impact various spectral bands polarizations on accuracy migrated was also assessed. Subsequently, combined S1 S2 images were classified using Support Vector Machines (SVM) Random Forest (RF) classifiers to produce annual LC maps from 2017 2021. results showed a higher (98.25%) migrations both comparison (87.68%) (96.82%) independently. Among classes, highest found water, built-up, bare land, grassland, cropland, wetland. Inquiries efficiency different polarization used that 4 8 VV water class more important, while wetland class, 5, 6, 7, 8, 8A together with superior performance. RF classifier provided better performance than SVM (higher overall, producer, user accuracy). Overall, our findings suggested shared use can be as suitable means producing high-quality samples.

Language: Английский

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Does land use change, waterlogging, and salinity impact on sustainability of agriculture and food security? Evidence from southwestern coastal region of Bangladesh

Environmental Monitoring and Assessment, Journal Year: 2022, Volume and Issue: 195(1)

Published: Nov. 5, 2022

Language: Английский

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