Assessing urban vegetation inequalities: Methodological insights and evidence

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 102987 - 102987

Опубликована: Янв. 1, 2025

Язык: Английский

---

Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate

Atmosphere, Год журнала: 2024, Номер 15(2), С. 161 - 161

Опубликована: Янв. 25, 2024

Research on the temporal and spatial changes of urban heat island effect can help us better understand how urbanization, climate change, environment are interconnected. This study uses a spatiotemporal analysis method that couples Emerging Hot Spot Analysis (EHSA) technique with Mann–Kendall technique. The is applied to determine intensity in humid subtropical climates over time space. data used this research include thermal bands, red band (RED) near-infrared (NIR), Landsat 7 8 satellites, which were selected from 2000 2022 for city Sari, an Iranian Caspian Sea. Pre-processed spectral bands ‘Google Earth Engine’ database estimate land surface temperature. temperature difference between outer buffer (1500 m) was modeled simulated. results paper show accuracy novelty using Hotspot evaluate vegetation cover intensity. Based Normalized Difference Vegetation Index (NDVI), city’s increased by approximately 0.30 °C 2011 compared 2001 2010. However, decreased during period, r = −0.42, so average −0.031 °C/decade decrease has been experienced. methodology be transferred other cities role green spaces reducing stress budget based historical observations.

Язык: Английский

---

Assessment of Phytomass and Carbon Stock in the Ecosystems of the Central Forest Steppe of the East European Plain: Integrated Approach of Terrestrial Environmental Monitoring and Remote Sensing with Unmanned Aerial Vehicles

Life, Год журнала: 2024, Номер 14(5), С. 632 - 632

Опубликована: Май 15, 2024

The rapid and accurate estimation of aboveground forest phytomass remains a challenging research task. In general, methods for estimating fall mainly into the category field measurements performed by ground-based methods, but approaches based on remote sensing ecological modelling have been increasingly applied. aim is to develop scientific methodological framework qualitative quantitative characteristics stands, using combination surveys machine learning models determine stands calculate carbon balance. Even-aged different tree species growing in steppe zone East European Plain were chosen as test objects. We applied modernized compare integrate stand obtained UAV-based comprehensive surveys; additionally, we developed computer vision determining same methods. key advantage proposed methodology monitoring balance control over existing analogues minimization amount groundwork and, consequently, reduction inlabor costs without loss information quality. Reliable data volumes will allow operational storage, which essential decision-making processes. This important environmental forests green spaces various economic categories. necessary ecological–climatic anthropogenic–technogenic transformations landscapes. development useful organizing management ecosystems, protection, managing recreational resources landscapes with natural plantations.

Язык: Английский

---

Remote Sensing-Based Urban Environmental Quality Indicators: A Review

Journal of Multidisciplinary Applied Natural Science, Год журнала: 2025, Номер 5(1), С. 228 - 242

Опубликована: Янв. 18, 2025

Most of the global population lives in urban areas, which also serve as hubs economy, industry, and government activities. Various factors that affect quality cities have been studied different locations. This article reviews various papers examine environmental indicators areas can be extracted from remote sensing data. The first aspect is vegetation cover, known index normalized difference (NVDI), second surface temperature, land temperature (LST). In this work, conditions countries are compared with Indonesia based on these indicators. It found NDVI LST widely used to analyze conditions. has a negative correlation temperature. High creates discomfort life brings mental stress residents living those areas. Based bibliometric analysis network map, it there 30 most relevant words or terms keywords “urban sensing” “remote environment indicator” highest frequency occurrence relevance. study input for policymakers planners formulate spatial planning policies oriented towards sustainability research current topics related sensing-based

Язык: Английский

---

Exposure to different types of residential greenness during pregnancy and early childhood and attention-deficit/hyperactivity disorder diagnosis: A nested case-control study

The Science of The Total Environment, Год журнала: 2025, Номер 969, С. 178907 - 178907

Опубликована: Фев. 24, 2025

Язык: Английский

---

Unmanned Aerial Vehicle (UAV) paired with LiDAR sensor to detect bodies on surface under vegetation cover: preliminary test.

Forensic Science International, Год журнала: 2025, Номер unknown, С. 112411 - 112411

Опубликована: Март 1, 2025

Язык: Английский

---

Analysis of land surface temperature and its correlation with urban, water, vegetation, and surface indices in the Siliguri Urban Agglomeration area of the Himalayan foothill region

Geomatics Natural Hazards and Risk, Год журнала: 2025, Номер 16(1)

Опубликована: Апрель 17, 2025

Язык: Английский

---

Impact of wildfires on spatial and temporal evolution of groundwater recharge in an Atlantic pine forest: An integrated approach using field, remote sensing and modeling.

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 59, С. 102408 - 102408

Опубликована: Апрель 21, 2025

Язык: Английский

---

Exploring the factors behind the discrepancy between two-dimensional and three-dimensional indicators of greenspace exposure

Ecological Indicators, Год журнала: 2025, Номер 175, С. 113584 - 113584

Опубликована: Май 14, 2025

Язык: Английский

---

Evaluating the Utility of Multispectral Remote Sensing for Monitoring Forage Crops: A Case Study on Sulla Coronaria in Sicily Region, Italy

Remote Sensing Applications Society and Environment, Год журнала: 2025, Номер unknown, С. 101608 - 101608

Опубликована: Май 1, 2025

Язык: Английский

---