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International Journal of Digital Earth
Scopus
ISSN 1753-8955 · Taylor & Francis Group · 1.721 artikel di indeks
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Artikel Jurnal
SLFNet: an improved boundary-sensitive multi-tasks deep network for agricultural parcel delineation using high-resolution remotely sensed imagery
Accurate delineation of agricultural parcels is essential for precision agriculture, global food security and sustainable land management within the Digital Earth framework. However, existing methods often exhibit limited global contextual awareness, inadequate boundary refinement, and weak…
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Artikel Jurnal
Towards a new multi-representation LOD model for high-definition maps in automated driving
Recent advances in automated driving (AD) and intelligent connected vehicles yield two paradigms for environmental understanding, namely map-based approaches and sensor-based perception. Instead of being mutually exclusive, the two paradigms are complementary and supply redundant spatial knowledge…
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Artikel Jurnal
Multimodal spatial co-occurrence knowledge representation for virtual trajectory classification
Virtual trajectories, defined as temporally ordered records of user interactions with public map service platforms, provide valuable evidence of domain-oriented map use. Classifying virtual trajectories across application domains is important for understanding heterogeneous map-use purposes and…
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Artikel Jurnal
Land surface dynamics modeling and prediction with dual latent space embeddings
Modelling land surface dynamics is critical for environmental forecasting, yet existing approaches face trade-offs. Deep networks operating in observation space achieve high short-term accuracy but lack long-term stability, while low-dimensional latent models enhance stability but sacrifice…
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Artikel Jurnal
Satellite‑observed recent flow acceleration of glaciers and model‑based environmental associations in Victoria Land, East Antarctica
Antarctic ice mass loss has intensified in recent decades. However, short-term glacier velocity variability in Victoria Land, East Antarctica, remains poorly documented. This study used Sentinel-1 SLC data and environmental records from 2017 to 2025 to quantify glacier-velocity variability in…
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Artikel Jurnal
Data scarcity to strategic insight: monitoring global SDG progress using big earth data and AI
Evidence-informed sustainable development goals (SDGs) remain constrained by incomplete, geographically uneven and temporally sparse reporting. This study implements a systematic approach using 20 peer-reviewed Big Earth Data and artificial intelligence (AI)-derived datasets to address monitoring…
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Artikel Jurnal
A rapid-updating method for anthropogenic NOx emissions based on convolutional neural networks and TROPOMI NO₂ observations
Nitrogen oxides (NO x = NO + NO2) are air pollutants primarily emitted from anthropogenic sources, however, bottom-up anthropogenic NO x emission inventories often suffer from update delays. The TROPOspheric Monitoring Instrument (TROPOMI) provides near-real-time, high-resolution NO2 column…
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Artikel Jurnal
GeoCaseRec: a knowledge graph semantics-driven framework for sustainable urban renewal recommendation
As urbanisation shifts from outward expansion to the regeneration of existing built environments, sustainable urban renewal increasingly depends on the effective reuse of historical cases. However, this remains constrained by fragmented multi-source geo-referenced data, semantic heterogeneity, and…
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Artikel Jurnal
Dynamic probabilistic dependency pathways of ecological risk in arid landscapes: a Bayesian network–GMM analysis of multiple disturbances in Kazakhstan
In arid and semiarid regions, flooding and land use change pose challenges to ecological risk (ER) assessment and ecosystem security. This study developed an integrated Bayesian network (BN)–Gaussian mixture model (GMM) framework for Kazakhstan (2000–2022) to characterise time-varying probabilistic…
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Artikel Jurnal
A global daily AVHRR true-color image record since 1981 derived from the XBAER-RGB reconstruction framework
True-color images synthesized from red, green, and blue (RGB) bands are essential for monitoring the Earth’s surface and atmosphere. However, the Advanced Very High-Resolution Radiometer (AVHRR), despite four decades of observations, lacks green and blue bands, limiting natural-color representation…
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Artikel Jurnal
Spatiotemporal evolution and drivers of eco-environmental quality for sustainable rural tourism in China’s Yangtze River Basin: an explainable AI approach
Balancing tourism-driven growth (SDG 8.9) with terrestrial ecosystem conservation (SDG 15) is vital for sustainable watershed management. Focusing on 409 Key Rural Tourism Villages in China’s Yangtze River Basin, this study integrates Google Earth Engine and MODIS data to assess eco-environmental…
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Artikel Jurnal
Integrating PlanetScope time-series and deep learning for monitoring of shrub encroachment in semi-arid steppes
Shrub encroachment threatens the functioning and livestock productivity of arid and semi-arid grasslands, yet accurate shrub-cover estimation remains difficult because shrub crowns are small, fragmented, and mixed with herbaceous vegetation and soil. We developed a fine-scale mapping framework…
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Artikel Jurnal
High-resolution assessment of spatiotemporal changes in China’s multiple cropping potential under future climate scenarios
Climate change is reshaping global multiple cropping potential through warming at higher latitudes and hydrological constraints in the tropics. Under China’s red line policy to stabilize total arable land, increasing cropping intensity is crucial for raising grain output without cropland expansion…
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Artikel Jurnal
Detection of linear deformation features in arctic landfast ice using InSAR and deep learning
Interferometric Synthetic Aperture Radar (InSAR) provides a powerful tool for observing landfast-ice deformation. Linear deformation features (LDFs) are narrow structures associated with fracture development in landfast ice. However, studies on the automated detection of LDFs from InSAR data remain…
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Artikel Jurnal
A physics-informed spatiotemporal downscaling model for kilometer-scale hourly humid heat stress indices
High-resolution humid heat stress indices, characterizing the interactive physiological effects of temperature and humidity, are vital for precision heat-health assessment and climate adaptation. However, existing coarse-resolution datasets smooth fine-scale spatial heterogeneity and may therefore…
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Artikel Jurnal
Research on 3D modelling of the grove mountains in Antarctica based on multisource stereo satellite imagery
The Grove Mountains are located in the hinterland of the Princess Elizabeth Land of the East Antarctic Ice Sheet. 3D modelling of the Grove Mountains is highly important for Chinese scientific research in the Antarctic. Through this research, a 3D model of the entire 3200 km2 Grove Mountains area…
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Artikel Jurnal
Geographically weighted ensemble learning for forest aboveground carbon storage estimation with uncertainty quantification using sentinel-2 and spaceborne LiDAR data
Accurate estimation of forest aboveground carbon storage (AGC) is essential for understanding the global carbon cycle and carbon sequestration, yet conventional models often assume spatial stationarity, leading to systematic biases in heterogeneous landscapes. This study integrated Sentinel‑2…
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Artikel Jurnal
AutoGIS: an agent framework for automated geospatial data management and analysis
Geospatial analysis plays a critical role in urban governance, environmental monitoring, and disaster management, yet end-to-end automation remains constrained by fragmented data acquisition, complex operator coupling, and limited workflow reproducibility. We present AutoGIS, a contract-driven…
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Artikel Jurnal
Nonlinear relationships between vegetation dynamics and ecosystem services in the Yangtze River Basin: insights from random forest and GTWR analyzes
Understanding the nonlinear relationships between vegetation dynamics and ecosystem services (ES) is essential for sustainable ecosystem management in the Yangtze River Basin (YRB). Using the Google Earth Engine platform, we analyzed NDVI dynamics in the YRB from 2000 to 2020. The InVEST model was…
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Artikel Jurnal
Bulletin-gap estimation of Brazilian soybean harvest progress with bounded-increment reconstruction
This study evaluates pre-release estimation of weekly state-level soybean harvest progress reported by CONAB in Brazil. We analyzed 1,142 observations from 11 soybean-producing states spanning five crop seasons, using historical CONAB bulletins, NASA POWER meteorology, NASA HLS summaries, and a…
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