Recurrent forest fires, emission of atmospheric pollutants (GHGs) and degradation of tropical dry deciduous forest ecosystem services

Total Environment Research Themes, Journal Year: 2023, Volume and Issue: 7, P. 100057 - 100057

Published: June 16, 2023

Forest fires threaten to biodiversity, ecosystem productivity, multiple services, and it influences the emissions of large amounts greenhouse gases into atmosphere. This scientific study has been conducted at Ayodhya hill range dry deciduous forest Chota Nagpur plateau (India).The principal objectives this research are (1) measure terrestrial productivity by Vegetation Photosynthesis Model (VPM); (2) estimate (GHGs) emission through fire following IPCC guidelines; (3) quantify service value degradation services (ESs) specific indices focus group discussions (FGDs). Results show that biophysical, climatic environmental factors notably affect growth ESs. A significant reduction net primary production (NPP) biomass measured in month (100.71 223.59 gC m−2 month−1) values spectral also negative trend during (-0.1279 −0.2104) respectively. Total 294.15 g, 1.44 21.03 0.0099 g 0.0231 CO2, CH4, CO, NO2, NOX have emitted respectively from burning period (March 2021). revealed average (18.50%) dependency or relative income (RFI) fallen recent years due recurrent fires, execution different developmental works deforestation. The effective management resources (through payment for ESs willingness pay approaches) is highly necessary strengthening rural economy welfare indigenous tribal people.

Language: Английский

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A Google Earth Engine Algorithm to Map Phenological Metrics in Mountain Areas Worldwide with Landsat Collection and Sentinel-2

Geomatics, Journal Year: 2023, Volume and Issue: 3(1), P. 221 - 238

Published: Feb. 21, 2023

Google Earth Engine has deeply changed the way in which observation data are processed, allowing analysis of wide areas a faster and more efficient than ever before. Since its inception, many functions have been implemented by rapidly expanding community, but none so far focused on computation phenological metrics mountain with high-resolution data. This work aimed to fill this gap developing an open-source algorithm map (PMs) such as Start Season, End Length Season detect Peak worldwide using free satellite from Landsat collection Sentinel-2. The script was tested considering entire Alpine chain. validation performed cross-computation PMs R package greenbrown, permits land surface phenology trend analysis, Moderate-Resolution Imaging Spectroradiometer (MODIS) homogeneous quote cover alpine landscapes. MAE RMSE were computed. Therefore, one compute certain robustness retrieved higher-resolution EO GEE worldwide.

Language: Английский

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Detection of Bartonella spp. in foxes' populations in Piedmont and Aosta Valley (NW Italy) coupling geospatially-based techniques

Frontiers in Veterinary Science, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 21, 2025

Bartonella is a genus of bacteria known to cause various rare but potentially dangerous diseases in humans and wildlife. The objective this study was investigate the presence spp. red foxes ( Vulpes vulpes ) from Piedmont Aosta Valley (NW Italy) explore potential association between environmental humidity infection using remote sensing data. A total 114 spleen samples were collected hunted screened for DNA qPCR assay targeting ssrA locus. Samples that tested positive further analyzed end-point PCR detect ssrA, gltA , rpoB loci. overall prevalence found be 7.9% (9/114), with 6.9% (7/101) 15.4% (2/13) Valley. Sequencing results identified schoenbuchensis R1 as most commonly isolated species (5/9, 62.5%), followed by Candidatus “ gerbillinarum ” two (2/9, 28.6%). To relationship factors infection, data NASA USGS Landsat missions (TOA collection) 2011 2022 processed Google Earth Engine. Tasseled Cap Wetness Index (TCW), an indicator landscape moisture, calculated each meteorological season. infections positively associated higher TCW values (>0.7). Canonical Correspondence Analysis demonstrated strong link pathogen municipal-level TCW, suggesting could used parameter facilitate disease management control. This provides starting point more comprehensive epidemiological assessment on national scale highlights role influencing distribution.

Language: Английский

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Risk Assessment of Rising Temperatures Using Landsat 4–9 LST Time Series and Meta® Population Dataset: An Application in Aosta Valley, NW Italy

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(9), P. 2348 - 2348

Published: April 29, 2023

Earth observation data have assumed a key role in environmental monitoring, as well risk assessment. Rising temperatures and consequently heat waves due to ongoing climate change represent an important considering the population, animals, exposed. This study was focused on Aosta Valley Region NW Italy. To assess population exposure these patterns, following datasets been considered: (1) HDX Meta dataset refined updated order map distribution its features; (2) Landsat collection (missions 4 9) from 1984 2022 obtained calibrated Google Engine model LST trends. A pixel-based analysis performed settlements relative according dataset. From data, trends were modelled. The gains computed used produce maps structure (such ages, gender, etc.). check consistency quality of dataset, MAE ISTAT at municipality level. Exposure-risk finally realized adopting two different approaches. first one considers only gain maximum by performing ISODATA unsupervised classification clustering which separability each class checked computing Jeffries–Matusita (J-M) distances. second rising temperature developing geo-analysis. In this last case input parameters considered defined after multivariate regression correlated tested (a) Fractional Vegetation Cover (FVC), (b) Quote, (c) Slope, (d) Aspect, (e) Potential Incoming Solar Radiation (mean sunlight duration meteorological summer season), (f) mean. Results show steeper increase trend, especially bottom valley municipalities, new built-up areas, where more than 60% domestic animals live high has detected mapped with both approaches performed. Maps produced may help local planners civil protection services face global warming One Health perspective.

Language: Английский

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Snow Metrics as Proxy to Assess Sarcoptic Mange in Wild Boar: Preliminary Results in Aosta Valley (Italy)

Life, Journal Year: 2023, Volume and Issue: 13(4), P. 987 - 987

Published: April 11, 2023

The widespread diffusion of the wild boar on Italian territory and its consistent use for hunting have created possibility to conduct multiple studies pathologies afflicting this ungulate. Nevertheless, in last two decades, only some such as classical African Swine Fever, Tuberculosis, Brucellosis from Brucella suis benefited substantial public funding consequent great interest scientific world, while less attention was addressed parasitic diseases including sarcoptic mange. Therefore, fill gap, purpose study contribute knowledge mange population Aosta Valley Northwest Italy, sympatric species foxes. Due past field surveys, it has been possible find a role snow metrics spread pathogen. Even if there are empirical evidence mechanism remain unknown remote sensing analysis considering were performed provide veterinarians, foresters, biologists, ecologists new tools better understand wield board dynamics join ordinary tool an instrument enhance management planning strategies. (SM) derived USGS NASA Landsat 8 L2A retrieved Theia CNES platform processed Orfeo Toolbox LIS extension package. relationship between SM disease tested per each municipality obtaining LISA maps season. results showed that parasite is present endemic form even with rather low prevalence values, equal 1.2% season 2013/2014, 7.5% 2014/2015. Moreover, within simultaneous given values SM, seem good conditions spreading.

Language: Английский

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Ecological Risk Assessment and Prediction Based on Scale Optimization—A Case Study of Nanning, a Landscape Garden City in China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1304 - 1304

Published: Feb. 26, 2023

Analysis and prediction of urban ecological risk are crucial means for resolving the dichotomy between preservation economic development, thereby enhancing regional security fostering sustainable development. This study uses Nanning, a Chinese landscape garden city, as an example. Based on spatial granularity extent perspectives, using 30 m land use data, optimal scale assessment (ERA) is confirmed. also explores patterns temporal changes in Nanning scale. At same time, Patch-generating Land Use Simulation model used to predict Nanning’s 2036 under two scenarios propose conservation recommendations light results. The results show that: 120 7 km best scales ERA Nanning. Although distribution levels obviously different, overall relatively low, scenario protection 2036, area high small. can provide theoretical support cities civilization construction.

Language: Английский

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Earth Observation Data and Geospatial Deep Learning AI to Assign Contributions to European Municipalities Sen4MUN: An Empirical Application in Aosta Valley (NW Italy)

Land, Journal Year: 2024, Volume and Issue: 13(1), P. 80 - 80

Published: Jan. 10, 2024

Nowadays, European program Copernicus’ Sentinel missions have allowed the development of several application services. In this regard, to strengthen use free satellite data in ordinary administrative workflows, work aims evaluate feasibility and prototypal a possible service called Sen4MUN for distribution contributions yearly allocated local municipalities scalable all regions. The analysis was focused on Aosta Valley region, North West Italy. A comparison between Ordinary Workflow (OW) suggested approach performed. OW is based statistical survey municipality declaration, while geospatial deep learning techniques aerial imagery (to extract roads buildings get real estate units) Land Cover map components according EAGLE guidelines. Both methods are land cover which represent input financial coefficients assigning applied. both approaches, buffers applied onto urban class (LCb). This buffer performed EEA-ISPRA soil consumption guidelines avoid underestimating some areas that difficult map. case Sen4MUN, overcome sensor limits spectral mixing issues, OW, due method itself. Finally, validation assuming as truth defined by law standard, i.e., although it has limitations. MAEs involving LCb, road lengths units demonstrate effectiveness Sen4MUN. developed suggests contribution system Geomatics Remote sensing public administration.

Language: Английский

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A one health google earth engine web-GIS application to evaluate and monitor water quality worldwide

Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2024, Volume and Issue: unknown

Published: May 14, 2024

Language: Английский

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An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(3), P. 856 - 856

Published: Feb. 3, 2023

Aquaculture plays a key role in achieving Sustainable Development Goals (SDGs), while it is difficult to accurately extract single-object aquaculture ponds (SOAPs) from medium-resolution remote sensing images (Mr-RSIs). Due the limited spatial resolutions of Mr-RSIs, most studies have aimed obtain areas rather than SOAPs. This study proposed an object-oriented method for extracting We developed iterative algorithm combining grayscale morphology and edge detection segment water bodies segmentation degree approach select edit potential Then classification decision tree knowledge about morphological, spectral, characteristics SOAPs was constructed object filter. selected 707.26 km2 region Sri Lanka realized our on Google Earth Engine (GEE). A 25.11 plot chosen verification, where 433 were manually labeled 0.5 m high-resolution RSIs. The results showed that could with high accuracy. relative error total between extracted result dataset 1.13%. MIoU 0.6965, representing improvement 0.1925 0.3268 over comparative algorithms provided by GEE. provides available solution large shows spatiotemporal transferability identifying other objects.

Language: Английский

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Design of Vector Control Strategies Based on Fuzzy Gain Scheduling PID Controllers for a Grid-Connected Wind Energy Conversion System: Hardware FPGA-in-the-Loop Verification

Electronics, Journal Year: 2023, Volume and Issue: 12(6), P. 1419 - 1419

Published: March 16, 2023

This paper presents a hardware implementation upon Field Programmable Gate Array (FPGA) of improved Vector Control Strategies (VCSs) based on Fuzzy Logic System (FLS) grid-connected wind energy conversion system. Usually, the classical VCS is fixed-gain Proportional Integral Derivative (PID) controllers, which are known to exhibit limited performance against nonlinear behavior systems, such as rapid fluctuations speed and uncertainties system parameters. In order overcome this limitation, an Gain Scheduling PID controllers (VCS-FGS-PID) suggested in work guarantee good tracking, high accuracy robustness under parameter variations. Indeed, controller gains tuned, real-time, by FLS. addition, proposed VCS-FGS-PID methods implemented FPGA reduce delays period control loop, thanks its parallel processing. fact, approaches proved digital simulation with Xilinx generator tool Matlab/Simulink, addition experimental hardware-in-the-loop using FPGA. The obtained results demonstrate that techniques offer better regards tracking stator resistance variability compared VCS-PI.

Language: Английский

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