Dynamics of land cover/land use with heat islands phenomenon and its ecological evaluation using remote sensing data (1992–2022)

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Language: Английский

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Spatiotemporal Analysis of Air Pollution and Climate Change Effects on Urban Green Spaces in Bucharest Metropolis

Atmosphere, Journal Year: 2025, Volume and Issue: 16(5), P. 553 - 553

Published: May 7, 2025

Being an essential issue in global climate warming, the response of urban green spaces to air pollution and variability because rapid urbanization has become increasing concern at both local levels. This study explored vegetation Bucharest metropolis Romania from a spatiotemporal perspective during 2000–2024, with focus on 2020–2024 period. Through synergy time series situ data, derived biophysical variables MODIS Terra/Aqua satellite this applied statistical regression, correlation, linear trend analysis assess relationships between their pairwise associations. Green were measured normalized difference index (NDVI), leaf area (LAI), photosynthetically active radiation (FPAR), evapotranspiration (ET), net primary production (NPP), which capture complex characteristics systems (gardens, street trees, parks, forests), periurban forests, agricultural areas. For center (6.5 km × 6.5 km) metropolitan (40.5 40.5 test areas, five-year investigated period, found negative correlations NDVI ground-level concentrations particulate matter two size fractions, PM2.5 (city r = −0.29; p < 0.01, −0.39; 0.01) PM10 −0.58; −0.56; 0.01), as well gaseous pollutants (nitrogen dioxide—NO2, sulfur dioxide—SO2, carbon monoxide—CO. Also, parameters, relative humidity (RH), land surface albedo (LSA) observed. These results show potential improve quality through pollutant deposition, retention, alteration health, particularly dry seasons hot summers. same period analysis, positive solar irradiance (SI) planetary boundary layer height (PBL) recorded. Because summer season’s (June–August) increase ozone, significant (r −0.51, for city −76; area, may explain degraded or devitalized under high ozone research reported temperature 2 m (TA) −0.84; scale −0.90; (LST) p< −0.68, 0.01). During seasons, ET parameters TA 0.91; SI RH 0.65; 0.83; are associated cooling effects vegetation, showing that higher density is lower temperatures. The correlation LST −0.92; explains imprint diurnal variations contrast TA. decreasing NPP over 24 years highlighted feedback warming. future cities, contribute development advanced strategies protection better mitigation increased frequency extreme events.

Language: Английский

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Correction of Sun-View Angle Effect on Normalized Difference Vegetation Index (NDVI) with Single View-Angle Observation

IEEE Transactions on Geoscience and Remote Sensing, Journal Year: 2024, Volume and Issue: 62, P. 1 - 13

Published: Jan. 1, 2024

Language: Английский

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Exploring the Diverse Response of Cropland Vegetation to Climatic Factors and Irrigation across China

Agronomy, Journal Year: 2024, Volume and Issue: 14(1), P. 188 - 188

Published: Jan. 15, 2024

Owing to limited research on the interactions between cropland vegetation and climate irrigation, this study used normalized difference index (NDVI) as a indicator describe dynamics. Potential evapotranspiration (PET) was calculated using Penman–Monteith equation. A partial correlation analysis Pearson coefficient were determine spatial response mechanisms of different climatic factors irrigation in China for period 1985–2015. The results show that (precipitation, PET, water deficits) display positive correlations with China. stronger observed meteorological northern compared southern parts; time NDVI values croplands precipitation be short-term (1 3 months) long-term (3 6 regions, respectively. In contrast, PET displayed complex heterogeneity. Most areas highest potential crop yields located eastern part China; these also require higher levels which benefits yields. This can provide better understanding agricultural ecosystems formulate strategies food security.

Language: Английский

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Examining the Percent Canopy Cover and Health of Winter Wheat in No-Till and Conventional Tillage Plots Using a Drone

Agriculture, Journal Year: 2024, Volume and Issue: 14(5), P. 760 - 760

Published: May 14, 2024

The percent canopy cover and health of winter wheat are important crop performance indicators. Thus, understanding how tillage management practices affect these indicators is beneficial for improving consequently yield. availability high-resolution drone data with spectral characteristics provides an opportunity to examine the in different systems. This because use drones real-time high spatial resolution temporal images effectively monitor conditions throughout growing season. Nonetheless, very limited studies have utilized assessing practices. study aimed no-till conventional plots using a drone. We used mean Normalized Difference Vegetation Index (NDVI) ± Standard Deviation (SD) (0.89 0.04) growth stages tillering, jointing, boot/heading generate cover. Red-Edge (NDRE) produced at middle late was as proxy condition. found that percentage about 4% higher compared most NDRE standard error (SE) 0.44 0.01 0.43 plots, respectively, during mid- stages. There no significant difference either or between plots. results generated this could be support farmers’ decision-making process regarding performance.

Language: Английский

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Assessing two decades of landscape greenness in relation to temperature and precipitation in a tropical dry forest of Northwestern Mexico

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112369 - 112369

Published: July 18, 2024

Canopy greenness is an indicator of ecosystem primary productivity, which often limited by temperature and precipitation. Changes in vegetation greening have been reported mostly at global scales. However, we still a poor understanding patterns drivers for major types, such as the tropical dry forest, one most extensive types Mexico. Here, analyze two decades interannual variation its relationship to precipitation northmost neotropical forest occurring Northwestern We constructed time-series linear regression models using standardized anomalies with z-scores (i.e., standard deviations away from long-term mean) Normalized Difference Vegetation Index (NDVI) climate data 2001 2021. Our best indicate both exert positive effects on greenness, particularly lagged effect perspective, retained predictors were accumulated monsoon (summer) seasons previous year mean temperature. The lowest levels landscape seem connected prolonged droughts extreme frost events. In fact, switch negative NDVI was observed years following February 2011 that affected much North America, including northern Notable, under stricter statistical criterion −1.7 ≥ z score 1.7, only climatic variables presented very-extreme these not necessarily linked response greenness. considering −1.3 1.3, identified several their corresponding anomaly. Therefore, more flexible criteria might reveal extremes ecological social relevance. overall findings implications risk management, are expected continue increasing light change.

Language: Английский

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Contribution of Climatic Change and Human Activities to Vegetation Dynamics over Southwest China during 2000–2020

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(18), P. 3361 - 3361

Published: Sept. 10, 2024

Southwest China is an important carbon sink area in China. It critical to track and assess how human activity (HA) climate change (CC) affect plant alterations order create effective sustainable vegetation restoration techniques. This study used MODIS NDVI data, type meteorological data examine the regional temporal variations normalized difference index (NDVI) from 2000 2020. Using trend analysis, looks at geographical variability NDVI. Partial correlation analysis was also effects of precipitation, extreme indicators, mean temperature on dynamics vegetation. A new residual technique created categorize CC HA changes while taking into consideration. The findings showed that grew a rate 0.02 per decade between According annual NDVI, there rise around 85.59% vegetative areas, with notable increases 36.34% these regions. Temperature had major influence northern half research region, but precipitation effect southern half. rates which climatic variables contributed were 0.0008/10a 0.0034/10a, respectively. These accounted for 19.1% 80.9% variances, demonstrate most areas displayed greater HA-induced increases, exception western Sichuan Plateau. result suggests when formulating conservation strategies, special attention should be paid impact activities ensure development ecosystems.

Language: Английский

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Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3623 - 3623

Published: Sept. 28, 2024

Fractional vegetation cover (FVC) is a crucial indicator for measuring the growth of surface vegetation. The changes and predictions FVC significantly impact biodiversity conservation, ecosystem health stability, climate change response prediction. Southwest China (SWC) characterized by complex topography, diverse types, rich types. This study first analyzed spatiotemporal variation at various timescales in SWC from 2000 to 2020 using values derived pixel dichotomy model. Next, we constructed four machine learning models—light gradient boosting (LightGBM), support vector regression (SVR), k-nearest neighbor (KNN), ridge (RR)—along with weighted average heterogeneous ensemble model (WAHEM) predict growing-season 2023. Finally, performance different ML models was comprehensively evaluated tenfold cross-validation multiple metrics. results indicated that overall predominantly increased 2020. Over 21 years, spatial distribution generally showed high east low west pattern, extremely western plateau Tibet higher parts eastern Sichuan, Chongqing, Guizhou, Yunnan. determination coefficient R2 scores LightGBM had strongest predictive ability whereas RR weakest. WAHEM performed best training, validation, test sets, performing worst. predicted trends were consistent MODIS-MOD13A3-FVC FY3D-MERSI-FVC, although slightly but closer MODIS-MOD13A3-FVC. feature importance digital elevation (DEM) most significant influence on among six input features. In contrast, soil water retention capacity (SSWRC) influential factor. this provided valuable insights references monitoring predicting regions Additionally, they offered guidance selecting remote sensing products optimizing models.

Language: Английский

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Impact of climate changes on agroresources of Ukrainian Polissia based on geospatial data

Agricultural science and practice, Journal Year: 2024, Volume and Issue: 11(2), P. 3 - 29

Published: Nov. 18, 2024

Aim. To determine the patterns of climate change impact on transformation agricultural production and ecosystem Ukrainian Polissia in terms time space. Methods. Satellite statistical data for last 40 years (1982–2022) were used. The mean temperature vegetation period was defined by sum radiation temperatures terrestrial surface, calculated using infrared range (10.3–11.3; 11.4–12.4 μm) high-precision AVHRR radiometer artificial meteorological Earth's satellites, NOAA, precipitation dynamics – ERA5 ECMWF/Copernicus Climate Change Service. state phenological parameters, including beginning, end, duration season, determined normalized difference index (NDVI), obtained (0.72–1.1 red (0.58–0.68 ranges website STAR NESDIS NOAA. Crop yields sown areas from State Statistics Service Ukraine. information about forest cover Global Forest Watch satellite data. evaluate Ukraine's forests, investigation conducted burnt areas, MCD64A1 6.1 index, developed basis MODIS Results. According to data, surface during growing increased 2.2 ºС average territory over years. There is a regional regime observed direction west east. In western Polissia, increase recent decades within 1.2–1.6, central eastern parts 2.3–2.9 ºС. Due warming, extended 21–35 days, mostly because earlier spring onset. descending trend annual amount down 20–30 mm, which especially notable Polissia. warming reason introduction crops, new this region, into structure corn sunflower, had generally positive effect NDVI 0.30 1982–1992 0.36 2012–2022 average. crop yield accordingly, according years, amounted to: 7.0–9.5 t/ha, winter wheat 4.5–5.0, sunflower 1.5–2.0 close level their chornozem. At same time, due activity, there has been higher risk deterioration ecological typical landscapes, droughts, soil degradation. results analysis twenty-two fires, largest forests registered 2012 (694.30 sq.km), 2015 (1,078.81 2020 (776.27 demonstrated fires decade along with tendency towards longer fire hazard period. Conclusions. lengthening created conditions be introduced arable NDVI. As result these transformations both area crops yield, becoming grain-oil belt Concurrently, are risks associated maintaining high performance agroecosystems degradation processes, wetlands as well drying-out small rivers lakes. Balancing modern safe nature management requires systemic measures adapting activity climatic conditions, implementing soil, water, bio-resources, achieving optimal parameters fertility mineral peaty-swampy soils. Reconstructing current land reclamation systems optimize water regimes lands protect needed.

Language: Английский

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NDVI trends observed over 30 years for different land cover types and biogeographical regions in Europe based on the novel TIMELINE NDVI product

Published: March 11, 2024

Remote sensing allows for spatially and timely continuous monitoring of the Earth&#8217;s surface. The analysis remote time-series can help to understand ongoing environmental changes. Especially past current vegetation status phenology may allow identify possible long-term patterns trends, which might be related climate change. availability multi-decadal time-series, such as from Advanced Very High Resolution Radiometer (AVHRR), used analyze change over large areas. In TIMELINE project (TIMe Series Processing Medium Earth Observation Data assessing Long-Term Dynamics our Natural Environment) German Sensing Center (DFD) at Aerospace (DLR), a daily, 10-day, monthly NDVI composites based on AVHRR data 1 km resolution covering Europe northern Africa has been generated. this study, we 30-year period 1989-2018 derive trends using Mann-Kendall trend test Theil-Sen slope estimator. We analyzed annual seasonal spring, summer, autumn different land cover classes within individual biogeographical regions in Europe. Our results show novel product European-wide spatial km. study thus assist further dynamics impacts

Language: Английский

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