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Canadian Journal of Remote Sensing
Scopus
ISSN 1712-7971 · Taylor & Francis Group · 428 artikel di indeks
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Artikel Jurnal
LSFNet: Lightweight Slicing-Fusion Network for Pixel-Wise Damage Segmentation in Dam from UAV Imagery
Automated damage detection in a dam is important, while existing models and datasets like CrackForest or DeepCrack predominantly focus on crack detection, so which leads to frequent misclassification of spalling as cracks due to their shared visual characteristics. To address this, we constructed…
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Artikel Jurnal
Connecting remote sensing, Inuit Knowledge, and in-situ observations for monitoring landfast sea ice fracture development in Admiralty Inlet, Nunavut
Fractures in landfast ice in the Canadian Arctic range from a few cm to several km wide. Currently, few remote sensing methods identify fractures at spatial and temporal scales relevant for on-ice travelers (meter and synoptic scales, respectively). We connect remotely sensed data (interferometric…
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Artikel Jurnal
Updating forest maps through data assimilation using remotely sensed data and regression methods designed to avoid bias trends
We applied data assimilation for updating map information about growing stock volume in forests in a study area in northern Sweden, across a study period ranging from 2010 to 2022. Novel features of the study were that (i) we applied newly developed regression techniques for predicting forest…
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Leveraging the Full Potential of Landsat to Investigate Inequalities in Post-Development Residential Canopy Cover (1972–2020)
Residential tree canopy cover (CC), which benefits local inhabitants and is managed by municipalities, changes as neighborhoods develop and is connected to demographics. We investigate residential CC and related inequalities across suburbanizing municipalities since 1972 using Landsat’s temporal…
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Artikel Jurnal
Entropy-guided multi-scale spatial attention for discriminative coastal scene classification in high-resolution remote sensing images
Accurate coastal scene classification from high-resolution remote sensing imagery remains challenging due to strong inter-class visual similarity and the presence of multi-scale spatial patterns. To address these challenges, this paper introduces a Multi-Scale Spatial Entropy Squeeze-and-Excitation…
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Artikel Jurnal
Urban land planning monitoring based on IKONOS remote sensing and GIS integration
This research aims to construct an object-based planning monitoring method that integrates IKONOS high-resolution remote sensing and Geographic Information System spatial operators to attain integrated calculations of urban construction land identification, temporal change analysis, and planning…
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Artikel Jurnal
Enhanced implementation of structural equation modeling for bulk density, carbon and carbon-to-nitrogen ratio within a boreal study region in Northern Ontario, Canada
Structural equation modeling (SEM) was explored to discern linkages between bulk density (BD), total carbon (C) concentration and carbon-to-nitrogen ratio (C:N) at the 5–15 cm depth of mineral soil within a boreal study region experiencing landcover conversion. A framework for facilitating SEM was…
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Artikel Jurnal
Spatiotemporal Variation Dynamics of Spring Vegetation Phenology and Its Climatic Response Mechanisms on the Tibetan Plateau, 2001–2024Dynamique spatio-temporelle de la phénologie printanière de la végétation et mécanismes de sa réponse aux facteurs climatiques sur le plateau tibétain au cours de la période 2001–2024
Although global warming significantly affects vegetation growth on the Qinghai-Tibet Plateau (QTP), how the start of growing season (SOS), a key indicator of spring vegetation phenology, responds to multiple climatic factors across heterogeneous landscapes remains unclear. This study advances…
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Artikel Jurnal
An adaptive multi-scale spatial fuzzy C-means algorithm for unsupervised segmentation of multispectral remote sensing imagesUn algorithme adaptatif multi-échelle de type fuzzy C-means spatial pour la segmentation non supervisée d’images de télédétection multispectrales
Unsupervised segmentation of multispectral remote sensing images remains challenging due to spectral variability, noise contamination, and complex spatial structures. Conventional fuzzy C-means (FCM) clustering relies solely on spectral information and is sensitive to noise, whereas spatial FCM…
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Artikel Jurnal
Comparing Multiscale Object-Based Image Analysis and Deep Learning for High-Resolution Classification of Ice Wedge Polygon Tundra
Rising Arctic temperatures are making polygonal tundra increasingly vulnerable, primarily due to high ground ice contents. These landscapes form through soil-hydrology interactions, leading to ice wedge formation and degradation. Understanding the future of ice wedge polygon (IWP) landscapes…
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Artikel Jurnal
Mapping Rice Production Typology Using Sentinel-1 Time Series Similarity Analysis to Support Climate Resilient Agriculture in the Vietnamese Mekong Delta
Rice production in the Vietnamese Mekong Delta (VMD) faces rising climate and ecological challenges, prompting national policies to reduce cropping intensity and restore floodplain functions. Synthetic Aperture Radar (SAR) is an effective tool for continuous rice production monitoring, as it is…
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Artikel Jurnal
SBAS-InSAR monitoring and time-lag correlation analysis of peatland subsidence in Central Kalimantan, Indonesia
Peatland degradation in tropical regions threatens carbon storage and land stability. This study monitored peatland subsidence using the Small Baseline Subset (SBAS) InSAR technique with Sentinel-1 C-band SAR data (2017–2022) in Sub-Peat Hydrological Zone 1. Time-lagged correlation analysis…
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Artikel Jurnal
Spatial and temporal land cover change trends in the Canadian Prairies region from 1984-2022
Understanding landscape change and its impact on ecosystem services such as biodiversity and carbon sequestration is essential for developing effective management strategies that balance conservation and economic objectives. Reliable information on landscape change is critical for building this…
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Artikel Jurnal
Analysis of the Spatiotemporal Distribution Pattern of Mid-Tropospheric CO2 and Its Driving Forces over Central Asia During 2003–2011
Carbon dioxide (CO2), the major anthropogenic greenhouse gas, plays a critical role in climate change. Using Atmospheric Infrared Sounder (AIRS) CO2 retrievals and auxiliary datasets, this study investigated the spatiotemporal characteristics of mid-tropospheric CO2 and its driving factors over…
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Artikel Jurnal
Complementary insights into high Arctic greening from absolute and relative NDVI trends across the Canadian Arctic Archipelago
The interpretation of increasing vegetation, also called greening, using the normalized difference vegetation index (NDVI) remains challenging in sparsely vegetated regions. Vegetation changes in higher latitude regions have mostly been assessed through circumpolar studies, which place its…
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Artikel Jurnal
A national stand-level dataset of aboveground biomass components for Canada’s forested ecosystems
Satellite data from Landsat and Sentinel-2 are widely used to model forest structural attributes at the pixel level, supporting applications in forest management, habitat assessment, carbon cycle analysis, and climate impact mitigation. However, many management and modeling frameworks rely on…
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Artikel Jurnal
Mapping Lichen Cladonia from UAV Imagery Using Deep Learning and Active Domain Adaptation in Canada’s Boreal and Taiga Ecozones
Lichen Cladonia is the primary source of forage for caribou (Rangifer tarandus) during winter. Accurate, intelligent mapping of Cladonia lichens is essential for effective habitat management across northern Canada’s diverse ecozones. This study develops a robust deep learning framework for the…
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Artikel Jurnal
Deep and machine learning in plant variety classification: A systematic global review of image processing approaches
The application of image processing techniques for plant variety identification has grown substantially over the past two decades, driven by the increasing availability of digital plant imagery and global focus on biodiversity conservation. The present work aims to review recent studies and…
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Artikel Jurnal
How well does the Evaporative Stress Index from ECOSTRESS capture site-based stresses?
Evaporative Stress Index (ESI) is a commonly used indicator for assessing ecosystem-level water stress, particularly for monitoring agricultural and forest droughts. This study assesses performance of two remote sensing ESI products: ECO4ESIPTJPL and ECO4ESIALEXI from the ECOsystem Spaceborne…