Evaluation of five atmospheric correction algorithms for multispectral remote sensing data over plateau lake

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102666 - 102666

Published: June 5, 2024

The precise correction of atmospheric effects is essential for the accurate analysis inland water color from remote sensing (RS) data. This study systematically evaluates efficacy five (AC) algorithms—Acolite, C2RCC, FLAASH, iCOR, and L2gen—when applied to Sentinel-2 Multi Spectral Instrument (MSI) Sentinel-3 Ocean Land Color (OLCI) imagery. performance these algorithms scrutinized across different spectral bands spatial resolutions, with a focus on their suitability body AC. Our validation approach primarily focuses arrangement sampling points timeliness collected results reveal that Acolite demonstrates superior in red band MSI data, whereas C2RCC exhibits inconsistencies blue green bands. FLAASH stands out its handling OLCI although iCOR sensitivity resolution, resulting over-correction lower resolution scenarios. L2gen noted consistent provision concentrated data amplitude board. findings, graphically represented through radar chart, are pivotal guiding selection optimal AC visible spectrum, thereby enhancing accuracy RS applications environmental monitoring research. Additionally, our highlights impact time differences variations approximately 3% observed single sensor. underscores critical need temporal consistency field measurements.

Language: Английский

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High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird

Landscape Ecology, Journal Year: 2024, Volume and Issue: 39(3)

Published: Feb. 19, 2024

Abstract Context Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning. Objectives Focusing on the little bustard ( Tetrax tetrax ), an endangered grassland bird, we aimed to: (i) characterise drivers along its key phenological phases (winter, breeding, post-breeding); (ii) quantify spatio-temporal variation in habitat suitability over years 2005–2021. Methods Combining remotely sensed metrics at high temporal resolution (MODIS) with long-term (> 12 years) GPS telemetry data collected 91 individuals one species’ main strongholds within Iberian Peninsula, built SDMs (250 m resolution) phases. Results The use both dynamic static predictors unveiled previously unknown ecological responses by bustards, revealing a marked change spatial suitable among Long-term trends showed considerable fluctuations, mainly breeding post-breeding Overall, SDM projections into past revealed that while winter habitats apparently increased since 2005, during most phase, reduced area time. Conclusions Our findings show matching tracking results throughout yearly cycle. Additionally, our stress importance quantifying loss potential impact decline nearly 20 years. Spatio-temporal variations are also identified this work, which can help prioritize areas, particularly areas have remained stable as is requirement lek system.

Language: Английский

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Climate change effects on animal presence in the Massaciuccoli Lake basin

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102644 - 102644

Published: May 16, 2024

Big-data mining approaches based on Artificial Intelligence models can help forecast biodiversity changes before they happen. These predict macroscopic species distribution patterns and trends that inform preventive measures to avoid the loss of ecosystem functions services. They can, therefore, study mitigate climate change implications conservation in fragile ecosystems. Wetlands are particularly ecosystems where poses severe risks has dramatically reduced their size over past century, with profound consequences Through big-data approaches, we future wetland context change. This paper proposes such predictive analysis for a specific wetland: The Massaciuccoli Lake basin Tuscany, Italy. is critical tourist attraction due its rich biodiversity, making it an area interest citizens, tourists, scientists. However, region's suitability native non-native at risk land-use Using machine-learning models, potential effects animal spatial under different greenhouse gas emission scenarios. results suggest habitat generally improved from 1950 today, presumably owing targeted strategies adopted area, but will severely reduce bird by 2050 while favouring several insect species' proliferation other change, even medium-emission scenario. lead significant basin's biodiversity. Our methodology adaptable basins, being fully open data models. spatially explicit modelling used this research provides valuable information policymakers planners, complementing traditional trend analyses.

Language: Английский

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Habitat Suitability of the Sand Lizard (Lacerta agilis) at Its Distribution Limit—An Analysis Based on Citizen Science Data and Machine Learning

Journal of Biogeography, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

ABSTRACT Aim To inform evidence‐based conversation strategies this study aims to assess habitat suitability and connectivity for the Sand Lizard ( Lacerta agilis ) at its northwestern distribution limit by integrating remote sensing data, machine learning techniques, citizen science contributions. Comprehending population dynamics of is imperative ensuring preservation metapopulations matrix‐sensitive species. Location NW‐Germany, Netherlands. Methods We integrated data from observation.org with multispectral Sentinel‐2 imagery auxiliary spatial datasets, including soil types, vegetation indices, topographic features, proximity various types. trained Random Forests which were employed predict across a region encompassing North Rhine‐Westphalia Lower Saxony in Germany, as well Netherlands, 10‐m resolution. Interpretable techniques applied identify key environmental drivers corridor analysis was conducted potential barriers colonisation. Results The ability model high (Area under Curve = 0.935 + − 0.05). Thirty‐three parameters identified relevant determinants, where most important group variables associated topography, solar irradiation Urban structures, however, further emerged influencing suitability. Connectivity mainly provided linear structures such railway lines roadsides. Main Conclusion Understanding critical effective development robust conservation strategies. Our demonstrates how contributions can effectively be modelling, particularly over large geographical areas. Contrary previous assumptions that peripheral populations, those Lizard's distribution, may more specialised, our findings reveal these lizards exhibit considerable adaptability range conditions, human‐altered landscapes. This challenges conventional views underscores importance considering anthropogenic environments planning. By incorporating novel ecosystems urban areas into species plans, contributes inclusive framework biodiversity conservation.

Language: Английский

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Reduced dimensionality space of features using spectral indices for detecting changes in multitemporal Landsat-8 images

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103090 - 103090

Published: Feb. 1, 2025

Language: Английский

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High-resolution habitat suitability maps for all widespread Italian breeding bird species

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 19, 2025

Tackling the current global biodiversity crisis requires large-scale spatially accurate data to rapidly assess knowledge gaps and set conservation priorities. Obtaining such is often challenging because surveying across broad spatial scales massive logistical economic efforts. Here, we provide high-resolution (0.81 81 km2, depending on species ecology) habitat suitability raster maps for all 225 widespread breeding bird in Italy. Maps were generated by means of distribution models based ~2.5 million (≤1 km-scale) expert-validated occurrence records. Occurrence collected during seasons 2010-2016 over 3000 skilled observers, mostly through Ornitho.it web platform, with aim realizing second Atlas Breeding Birds Italy, released 2022. These will be useful ecologists, scientists practitioners investigating patterns avian diversity identifying We discuss potential applications this dataset inferring composition ecological communities distributions at Italian scale.

Language: Английский

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Multi-Temporal Remote Sensing of Inland Surface Waters: A Fusion of Sentinel-1&2 Data Applied to Small Seasonal Ponds in Semiarid Environments

Published: Jan. 1, 2024

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Language: Английский

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Multi-temporal remote sensing of inland surface waters: A fusion of sentinel-1&2 data applied to small seasonal ponds in semiarid environments

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 135, P. 104283 - 104283

Published: Nov. 29, 2024

Language: Английский

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Multi-Temporal Remote Sensing of Inland Surface Waters: A Fusion of Sentinel-1&2 Data Applied to Small Seasonal Ponds in Semiarid Environments

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 6, 2024

Abstract Inland freshwater resources in semiarid environments play a key role maintaining ecological systems and supporting human development. Space-based remote sensing spatiotemporal data have emerged as new paradigm for understanding ecohydrological processes trends, particularly water-stressed areas. However, comprehensive cataloging is still lacking, especially semi-arid regions small-sized water bodies (i.e., ponds), which are often overlooked despite their relevance. In this study, high-resolution optical radar Sentinel (Sentinel-1 Sentinel-2) were used to construct Sentinel-1&2-based local surface (SLSW) models, infer occurrence extent. To assess the reliability of model, results compared with verification data, separately Landsat-based global (LGSW) models. Three distinct selected SW Iberia, within Mediterranean climate, each encompassing special protection areas conservation subjected marked seasonality bioclimatic changes. Surface attributes modeled using Random Forests SLSW time series forecasting, included period from January 1, 2020, December 31, 2021. During period, completeness archived information was between LGSW, considering both intra-annual inter-annual variations. The predictive performance these models then specific periods (dry wet), independently validated data. showed that SLWM achieved satisfactory performances detecting ( μ ≈72%), far greater reconstructed patterns LGSW. relatedness LGSW stronger during wet (R 2 =0.38) than dry =0.05), related much better =0.66) when =0.24). proposed approach may therefore provide advantages delineation dynamic characteristics (occurrence extent) very <0.5 ha), allowing uninterrupted forecasting at high detail, over extensive Given constraints vulnerability climate change, our show potential variety activities underlying rural development biodiversity conservation. Additionally, socio-ecological applications research help identify anomalies (e.g., drought events) enhance sustainable supply governance, particular priority change hotspots. Highlights extent across three Sentinel-1&2 Landsat characterizing small Models based on resulted classification precision Very seasons found more reliable

Language: Английский

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Fault Diagnosis of Wind Turbine Gears Based on Parameter Optimised Vmd and Cnn-Bilstm

Published: Jan. 1, 2024

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Language: Английский

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