Monitoring and predicting the influences of land use/land cover change on cropland characteristics and drought severity using remote sensing techniques

Environmental and Sustainability Indicators, Год журнала: 2023, Номер 18, С. 100248 - 100248

Опубликована: Март 21, 2023

The Federal University of Technology at Akure (FUTA) in Nigeria is experiencing ongoing development that leading to the replacement agricultural and forestry land cover types. This study aimed assess predict changes use/land (LULC) types their impact on crop characteristics 17 plots FUTA from 1991 2031. Crop were evaluated using normalized difference vegetation index (NDVI), water (NDWI), moisture (NDMI), condition (VCI), watershed delineation, spectral Landsat imageries. change modeler TerraSet software was used future LULC scenarios. Results showed an increase built-up areas (15%) bare (14%), but a reduction 19% light 2021. predicted map illustrated decrease area (11%) (19%) NDVI values denoting health coverage extent, NDWI & NDMI indicating stress soil palm tree (Plot 1) had highest average indices (0.31, 0.34, 0.06, respectively), while mixed cropping cassava, cashew, potatoes 6) lowest (0.23, 0.28, −0.029 respectively). indicates Plot 1 (palm tree) better with higher green canopy lower compared 6 (cassava, potato vegetation). Drought analysis (VCI) drought became severe during 2001–2021 Plots 4 6. growing accelerated severity. advocates for sustainable use management manage field level.

Язык: Английский

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Quantifying climate variability and regional anthropogenic influence on vegetation dynamics in northwest India

Environmental Research, Год журнала: 2023, Номер 234, С. 116541 - 116541

Опубликована: Июль 5, 2023

Язык: Английский

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Computing Vegetation Indices from the Satellite Images Using GRASS GIS Scripts for Monitoring Mangrove Forests in the Coastal Landscapes of Niger Delta, Nigeria

Journal of Marine Science and Engineering, Год журнала: 2023, Номер 11(4), С. 871 - 871

Опубликована: Апрель 20, 2023

This paper addresses the issue of satellite image processing using GRASS GIS in mangrove forests Niger River Delta, southern Nigeria. The estuary Delta Gulf Guinea is an essential hotspot biodiversity on western coast Africa. At same time, climate issues and anthropogenic factors affect vulnerable coastal ecosystems result rapid decline habitats. motivates monitoring vegetation patterns advanced cartographic methods data analysis. As a response to this need, study aimed calculate map several indices (VI) scripts as programming integrated geospatial studies. include four Landsat 8-9 OLI/TIRS images covering segment Bight Benin for 2013, 2015, 2021, 2022. techniques included ’i.vi’, ’i.landsat.toar’ other modules GIS. Based ’i.vi’ module, ten VI were computed mapped estuary: Atmospherically Resistant Vegetation Index (ARVI), Green (GARI), (GVI), Difference (DVI), Perpendicular (PVI), Global Environmental Monitoring (GEMI), Normalized Water (NDWI), Second Modified Soil Adjusted (MSAVI2), Infrared Percentage (IPVI), Enhanced (EVI). results showed variations habitats situated over last decade well increase urban areas (Onitsha, Sapele, Warri City) settlements State due urbanization. analysis enabled us identify visualize changes patterns. technical excellence was demonstrated used study.

Язык: Английский

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Detection of changes in the hydrobiological parameters of the Oder River during the ecological disaster in July 2022 based on multi-parameter probe tests and remote sensing methods

Ecological Indicators, Год журнала: 2023, Номер 148, С. 110103 - 110103

Опубликована: Март 8, 2023

Starting from the second half of July, hydrological conditions (low water levels and low flows) atmospheric (high temperatures, lack precipitation) contributed to algae bloom in Oder River basin. The mass extinction fish middle lower section was probably result such environmental conditions. Because is correlated with an increase content chlorophyll river on its surface, authors focused analysis changes amount longitudinal profile river. key data obtained by soundings carried out at interval about one kilometre during research expedition, which took place July 16–24, 2022. These coincided values NDVI index (normalised difference vegetation index) based 10-metre satellite images Sentinel 2 mission. Imagery cloudless periods (mainly March, June, August) processed using compared. Regularly elevated upstream (occurring each period) temporarily as moving downstream were observed. This article confirms initial conclusions Kolada et al. (2022) that kill summer 2022 conditioned natural pressure causing massive release their toxins. also proves use for this type correct approach, but due resolution, they cannot be used reference material. Changes hydrobiological parameters river, are a direct indicator causes ecological disaster, multi-parameter probe two weeks before first catches dead fish.

Язык: Английский

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Comparison of NDVI, NDRE, MSAVI and NDSI Indices for Early Diagnosis of Crop Problems

Agricultural Engineering/Inżynieria Rolnicza, Год журнала: 2023, Номер 27(1), С. 47 - 57

Опубликована: Янв. 1, 2023

Abstract In precision agriculture, it is possible to use satellite monitoring of fields. Satellite systems allow you get free images with a resolution up 10 m per pixel, which sufficient determine the state vegetation plants on such indicators as normalized index NDVI. However, NDVI indicator already indicates existing problems correction will not help restore lost yield crops, but only helps prevent further losses. Using NDSI soil salinity index, difference in its properties from spectral images. Also, can study early stages their development, fact immediately after germination. Soil-adjusted MSAVI, used for this purpose. Studies indicate possibility using and MSAVI diagnosis confirmed crops NDRE (indicating chlorophyll activity plants) at later development. conducted soybean, spring barley maize sown 2021 correspondence between raster field maps show-ing above indices made March July. Statistical analysis specialized software showed correlation May, respectively, indexes June Therefore, judge expediency plant vegetation, well creation differential fertilization.

Язык: Английский

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Modelling above ground biomass for a mixed-tree urban arboretum forest based on a LiDAR-derived canopy height model and field-sampled data

GEOMATICA, Год журнала: 2025, Номер unknown, С. 100047 - 100047

Опубликована: Янв. 1, 2025

Язык: Английский

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Monitoring land changes at an open mine site using remote sensing and multi-spectral indices

Heliyon, Год журнала: 2025, Номер 11(2), С. e41845 - e41845

Опубликована: Янв. 1, 2025

Язык: Английский

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Urban land surface temperature forecasting: a data-driven approach using regression and neural network models

Geocarto International, Год журнала: 2024, Номер 39(1)

Опубликована: Янв. 1, 2024

The insinuations of the ailments associated with unrestrained and disorganized proliferation artificial impervious materials over natural surfaces are prevalent among city dwellers. These impacts can be comprehended by estimating land surface temperature (LST), as it is vital for evaluating urban climate, particularly to explain intensity heat islands define health welfare planet well living beings. Urbanization-driven landscape changes severely disrupt comfortable in almost every city, necessitating monitoring modelling historical, current, likely future LSTs. This research article proposes two forecasting techniques: Multiple Linear Regression (MLR) Artificial Neural Network (ANN) models. models have been widely accepted efficient prediction climatic parameters, including LST, an area. landscape, elevation, LST trend served input accurate LST. analysis was performed Kolkata Metropolitan Area (KMA) additional 10 km buffer understand growth its effect on entire region. developed (MLR ANN) effectively anticipated KMA A continual increment temperatures ranging from 1 °C 4 °C, existing likely-predicted areas comprehended. It that regions near will also experience severe discomfort waves without proper mitigation measures. scientific literature provides essential insights decision-makers, stakeholders, government officials articulate new policies modify ones create a sustainable livable environment inhabitants.

Язык: Английский

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Modeling the Impact of Overcoming the Green Walls Implementation Barriers on Sustainable Building Projects: A Novel Mathematical Partial Least Squares—SEM Method

Mathematics, Год журнала: 2023, Номер 11(3), С. 504 - 504

Опубликована: Янв. 17, 2023

The sustainable building concept must be implemented throughout the project lifecycle to achieve highest proceeds without lowering standard. Although implementing green walls in emerging nations is partial, such studies have concentrated on drivers for walls. Conversely, there less proof comprehensively study impact of walls’ overall success (OSS) concerning projects. This research focuses wall adoption barriers construction projects third-world nations. It assesses effect addressing (GW) obstacles OSS lifespan. Therefore, a broader review literature needed conceptual model development. Structural equation modelling and partial least square (SEM-PLS) been developed employing survey evaluation tool (i.e., questionnaire). Information was derived from one hundred five professionals Nigeria. output revealed that eradicating GWs had slight intermediate influence during scheme’s These results offer foundation policymaking regarding successful completion through evading adoption. Similarly, implementation will enhance project’s success.

Язык: Английский

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Monitoring of the State of Saint Petersburg Green Spaces by Remote Sensing Data

Ecology and Industry of Russia, Год журнала: 2023, Номер 27(5), С. 51 - 57

Опубликована: Май 16, 2023

The vegetation index NDVI calculated and the dynamics of obtained values were analyzed in period from 2017 to 2021 for administrative districts St. Petersburg. Aspects application under consideration assessing analyzing state urban green spaces studied. conclusion was made about percentage trends cover context city districts. Recommendations provided improve reliability results a possible analysis correlation with other indicators, as well quality initial remote sensing data.

Язык: Английский

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