Search Results - "Shafri, Helmi"
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1
Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis
Published in International journal of remote sensing (19-05-2017)“…Land-cover maps provide essential data for a wide range of practical and small-scale applications. A number of data sources appropriate for land-cover…”
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2
Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran
Published in Environmental earth sciences (01-04-2014)“…Groundwater contamination from intensive fertilizer application affects conservation areas in a plain. The DRASTIC model can be applied in the evaluation of…”
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3
Multi-Modal Feature Fusion Network with Adaptive Center Point Detector for Building Instance Extraction
Published in Remote sensing (Basel, Switzerland) (01-10-2022)“…Building information extraction utilizing remote sensing technology has vital applications in many domains, such as urban planning, cadastral mapping,…”
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4
A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment
Published in International journal of remote sensing (23-04-2010)“…This review paper evaluates the potential of hyperspectral remote sensing for assessing species diversity in homogeneous (non-tropical) and heterogeneous…”
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5
Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms
Published in International journal of remote sensing (19-05-2014)“…Basal stem rot (BSR) is a fatal fungal (Ganoderma) disease of oil palm plantations and has a significant impact on the production of palm oil in Malaysia…”
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6
New semi-automated mapping of asbestos cement roofs using rule-based object-based image analysis and Taguchi optimization technique from WorldView-2 images
Published in International journal of remote sensing (17-01-2017)“…The use of asbestos cement (AC) roofing materials is a significant concern because of their deleterious effects on human health and the environment. The main…”
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7
Discriminating between large-scale oil palm plantations and smallholdings on tropical peatlands using vegetation indices and supervised classification of LANDSAT-8
Published in International journal of remote sensing (02-10-2019)“…Tropical peat swamp forest is rapidly being converted into industrial-scale oil palm agriculture across South-east Asia. This has global and local…”
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8
Modeling of CO Emissions from Traffic Vehicles Using Artificial Neural Networks
Published in Applied sciences (16-01-2019)“…Traffic emissions are considered one of the leading causes of environmental impact in megacities and their dangerous effects on human health. This paper…”
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9
Computational fluid dynamics study on cemented paste backfill slurry: Review
Published in Construction & building materials (10-03-2023)“…•Introduction to CPB slurry and its constitutive model.•A review of CFD application in the study of rheological properties of CPB slurry.•The application of…”
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10
A GNSS-based weather forecasting approach using Nonlinear Auto Regressive Approach with Exogenous Input (NARX)
Published in Journal of atmospheric and solar-terrestrial physics (01-10-2018)“…The rapid variation of precipitation that occurs in the troposphere potentially affects weather conditions. Using GNSS-derived precipitable water vapour (PWV)…”
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11
review of applying second-generation wavelets for noise removal from remote sensing data
Published in Environmental earth sciences (01-11-2013)“…The processing of remotely sensed data includes compression, noise reduction, classification, feature extraction, change detection and any improvement…”
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12
Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification
Published in Remote sensing (Basel, Switzerland) (01-04-2020)“…Considering the high-level details in an ultrahigh-spatial-resolution (UHSR) unmanned aerial vehicle (UAV) dataset, detailed mapping of heterogeneous urban…”
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13
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
Published in Geospatial health (25-05-2023)“…This research proposes a 'temporal attention' addition for long-short term memory (LSTM) models for dengue prediction. The number of monthly dengue cases was…”
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14
Spatio-temporal remotely sensed data for analysis of the shrinkage and shifting in the Al Hawizeh wetland
Published in Environmental monitoring and assessment (01-01-2015)“…Wetlands are regarded as one of the most important ecosystems on Earth due to various ecosystem services provided by them such as habitats for biodiversity,…”
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15
Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery
Published in International journal of remote sensing (01-01-2010)“…Plantation inventory and management require a range of fine-scale remote-sensing data. Remote-sensing images with high spatial and spectral resolution are an…”
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16
Future prediction of coastal recession using convolutional neural network
Published in Estuarine, coastal and shelf science (01-04-2024)“…Coastal recession resulting from sea level rise and wave action is a significant environmental concern, posing challenges for accurate long-term predictions…”
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Unveiling and modelling: Land degradation, poverty nexus in Nigeria's semi-arid (jigawa state) using cloud-based geospatial data
Published in Journal of arid environments (01-06-2024)“…Land degradation and multidimensional poverty represent global challenges whose interconnected dynamics are poorly understood and hinder effective…”
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ABC of green infrastructure analysis and planning: The basic ideas and methodological guidance based on landscape ecological principle
Published in Urban forestry & urban greening (01-07-2022)“…Green infrastructure (GI) is a pivotal multifunctional approach for urban green spaces fragmentation problem. The green space fragmentation issue has…”
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A Joint Bayesian Optimization for the Classification of Fine Spatial Resolution Remotely Sensed Imagery Using Object-Based Convolutional Neural Networks
Published in Land (Basel) (01-11-2022)“…In recent years, deep learning-based image classification has become widespread, especially in remote sensing applications, due to its automatic and strong…”
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Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data
Published in Applied sciences (16-07-2017)“…An accurate inventory map is a prerequisite for the analysis of landslide susceptibility, hazard, and risk. Field survey, optical remote sensing, and synthetic…”
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