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Geocarto International
Scopus
ISSN 1752-0762 · Taylor & Francis Group · 666 artikel di indeks
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Artikel Jurnal
Dynamic LOD generation method for 3D geological models based on geological structural geometry features
Three-dimensional geological models are widely used in fields such as geological surveys, urban underground space development, and smart city construction. To address the issues of local geometric feature loss and triangle deficiency in existing mesh simplification algorithms for generating Level…
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Artikel Jurnal
A fusion-based despeckling approach for multi-temporal SAR images using non-adaptive diffusion and thresholding method
Synthetic aperture radar images often suffer from speckle noise and blur, which can affect their reliability. This research proposes a new method that combines the speckle reducing anisotropic diffusion filter with the non-data adaptive transform and uses the Bayesian shrinkage rule for N-level…
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Artikel Jurnal
Soil moisture prediction research in the Beijing-Tianjin-Hebei region based on particle swarm optimized extreme learning machine
Soil moisture plays a vital role in ecological dynamics, the hydrological cycle, and climate monitoring. Traditional prediction methods include physical models and data-driven approaches, with the latter gaining popularity due to its ability to capture complex data patterns. This study utilizes the…
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Artikel Jurnal
Azimuth-transfer based SAR image generation with few samples
Due to the azimuth sensitivity and the limited availability of annotated samples in synthetic aperture radar (SAR) images, the SAR target recognition accuracy of deep models tends to decrease. To address this issue, this paper proposes a novel azimuth-transfer SAR image generation algorithm based…
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Artikel Jurnal
Remote sensing–derived land use land cover for hydrological modelling of flood hydrographs in the Mun River Basin, Thailand
Event-based hydrological models in tropical basins often rely on static land use land cover (LULC) inputs, limiting their ability to represent rapidly changing watershed conditions. This study integrates multi-temporal, satellite-derived LULC data from Google Earth Engine (GEE) with the Hydrologic…
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Artikel Jurnal
Surface deformation monitoring of mining areas based on the fusion of D-InSAR and SBAS-InSAR using the sigmoid function: a case study of a mining area in jilin province, China
Accurate monitoring of surface subsidence in mining areas is crucial for disaster prevention. To enhance the accuracy of surface subsidence monitoring in mining areas, this study employs GNSS data as a reference and utilizes Sentinel-1A SAR imagery to observe LOS surface deformation within the…
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Artikel Jurnal
Efficient capsule network with attention mechanism for hyperspectral remote sensing classification
The capsule network (Caps) has emerged as a promising neural network architecture for hyperspectral remote sensing classification, yet it faces critical challenges: gradient vanishing and computational inefficiency. To address these limitations, we propose an Efficient Caps (ECaps) that integrates…
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Artikel Jurnal
Spatiotemporal evolution of land ecological quality and its driving factors: a case study of Zhejiang Province, China
Rapid urbanization threatens regional ecological quality, yet its spatiotemporal evolution mechanisms remain unclear, hindering precise ecological governance. This study integrated time-series multi-source remote sensing data, the Remote Sensing Ecological Index (RSEI), and Geodetector model to…
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Artikel Jurnal
Spatial heterogeneity study of urban expansion and its influencing factors based on multiscale geographically weighted regression – the case of central plains urban agglomeration
The MGWR model is applied to explore primary drivers of construction land expansion in various land use functional areas. The results show that: (1) owing to differences in economic foundations, functional positioning and development models among various land functional zones within the urban…
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Artikel Jurnal
Terrestrial ecosystem carbon storage responses to land cover evolution under future multi-scenario in ecological function zone for soil and water conservation of the Three Gorges Reservoir, China
The Ecological Function Zone for Soil and Water Conservation of the Three Gorges Reservoir (EFZSWCTGR) is a key ecological barrier but has undergone land use and cover change that may alter terrestrial carbon storage (CS). Here, we propose a framework to quantify CS responses to land cover…
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Artikel Jurnal
Monitoring the impacts of mining activities on land cover using remote sensing technologies and machine learning in the Musonoi copper‒cobalt deposit in the Democratic Republic of Congo
This study examined the impact of land use land cover (LULC) change across the various geomorphological zones in relation to mining activities using remote sensing and random forest (RF) in the Musonoi copper‒cobalt deposit of Democratic Republic of Congo (1994–2024). The RF yielded an overall…
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Artikel Jurnal
An enhanced phase linking method for DS-InSAR land subsidence monitoring
Phase Linking (PL) techniques face challenges in constructing high-quality Sample Covariance Matrices (SCM) for Distributed Scatterers (DS), due to limited Statistically Homogeneous Pixels (SHPs) and possible heterogeneity. To address this, this paper proposes a method termed SE-NS, which…
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Artikel Jurnal
Integrated analysis of water storage variability using GRACE and SHETRAN modelling system in the Central Rift Valley basin of Ethiopia
The Central Rift Valley (CRV) basin in Ethiopia has undergone significant hydrological changes driven by climate variability, population growth, and agricultural intensification. However, the understanding of long-term water storage dynamics remains limited due to a lack of in-situ data, which…
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Artikel Jurnal
Vegetation dynamics and dominant driving factors in a semi-arid coal mining area under a disturbance–restoration zoning framework
Understanding vegetation dynamics in arid mining ecosystems remains limited, despite the extensive disturbances imposed by mining activities. Integrating remote sensing and field observations, we applied the Mann–Kendall test, Theil–Sen slope, the BFAST01 algorithm, Boosted Regression Trees, and…
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Artikel Jurnal
Automated extraction of hill boundaries in Gobi deserts based on DEM using integrated positive–negative terrain segmentation and multi-directional hillshading
Hills are fundamental geomorphological units in Gobi deserts, and accurate delineation of their boundaries is essential for understanding surface evolution and supporting desertification management. This paper provides an automated high-resolution hill boundary extraction method that integrates…
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Artikel Jurnal
RCCF-YOLO: region-constrained channel weighting and multi-scale fusion network for power tower detection in high-resolution SAR images
To address the issue of frequent false alarms in transmission tower detection in SAR images, this paper proposes a multi-task detection framework named RCCF-YOLO, which incorporates regional constraints. The model employs a unified feature extraction network and constructs dual branches for object…
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Artikel Jurnal
Evaluating satellite-derived evapotranspiration estimates against ground-based measurements in arid Upper Orange catchment, South Africa
Evapotranspiration (ET) accounts for ~60% of surface water loss, and accurate estimation is vital for water management in arid regions. This study assessed ET in the Upper Orange catchment, South Africa, using the surface energy balance system (SEBS), Penman–Monteith (PM) and MODIS 16 against eddy…
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Artikel Jurnal
Remote sensing and machine learning-based mapping of climatic stress impacts on vegetation and carbon sequestration
This study develops a Vegetation Stress Index (VSI) to quantify spatiotemporal vegetation stress and its implications for carbon sequestration across the northern forests of Pakistan. The index integrates Solar-Induced Fluorescence (SIF), kernel NDVI (kNDVI), and hydroclimatic drivers, including…
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Artikel Jurnal
Integration of sentinel optical and radar data in Google Earth Engine for mapping small complex agroforests of shade-grown coffee in northern Peru
Coffee is a key global export product; however, there is still limited information on the location and dynamics of its growing areas, especially in light of the implementation of new regulations such as the EUDR. This study used optical and radar data from the Sentinel satellite, processed on the…
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Artikel Jurnal
Interpretable image deblurring with ISTA_inspired deep network (ISTA_Deblurnet)
Image deblurring algorithms can be broadly categorized into iterative algorithms that solve mathematical models and deep learning algorithms. Iterative algorithms regularize sparsity, with prior knowledge typically set manually, leading to limited applicability. In contrast, deep learning…