Overcoming soil discrepancy in Vis-NIR soil organic matter prediction: A deep transfer learning framework
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Remote Sensing Applications-Society and Environment
- Publisher:
- Elsevier
- ISSN:
- 2352-9385
- Category:
- REMOTE SENSING
- Impact factor:
- 3.8
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36 parsed articles
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Latest articles
Synergistic utilization of GRACE/GRACE-FO observations to monitor groundwater storage dynamics in Gujarat, India
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A multi-source and multi-scale approach for sea-level rise scenarios: combining in situ data, satellite imagery, and stochastic modeling
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Coherent and incoherent change detection for improved flood mapping: A Sentinel-1 SAR time-series approach
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Using high-resolution nighttime satellite data to quantify light emissions in Hong Kong
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GNSS-IR and spectral remote sensing data fusion for soil moisture estimation
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AANSER: A Novel Attention-based Residual U-Net architecture for Satellite data segmentation
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Integrating UAV remote sensing and field ecology for fine-scale mapping of riparian herbaceous vegetation
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Lightweight dual-encoder deep learning integrating Sentinel-1 and Sentinel-2 for paddy field mapping
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Drone multispectral imaging reveals seasonal microphytobenthos drivers at shorebird foraging sites
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Climate change-driven aridity threatens vegetation vigor in the Brazilian semiarid region
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A multi-model deep learning framework for urban waste detection in sub-Saharan Africa using Sentinel-2 imagery
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A comparative study of machine learning and Kriging: Improving wind resource assessment in data-scarce, monsoon-affected regions
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Satellite-Based Soil Texture Mapping Using GLOBAL–LOCAL Spectral Libraries for Flood Hazard Assessment in Arid Regions
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Enhanced detection and inventory of snow avalanches along the Leh–Manali Highway, Western Himalayas using remote sensing: Development and demonstration of the modified SAFE (mSAFE) algorithm
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Advancing burned area mapping using the Normalized Radar Burn Ratio (NRBR)
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Assessing the impact of climatic variability and anthropogenic pressures on wetland (Kanwar Lake, India): A multi-seasonal analysis using remote sensing and statistical approaches
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A data driven assessment to link tropospheric methane concentration and surface biophysical factors using remotely sensed data
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A novel index for mapping plastic-mulched farmland using multi-temporal Landsat-8 and Sentinel-2 imagery
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Tidal marsh species mapping using commercial satellite imagery for enhanced coastal management in Chesapeake Bay
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Dual stage – Spectral and Spatial Analyser (DSSA) - A novel deep learning model for methane detection from hyperspectral images
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Optimal water depth bias correction in LiDAR data using deviation-level analysis and advanced deep hybrid models
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Evolution of housing conditions and inequality in the Guangdong-Hong Kong-Macao Greater Bay Area using multi-source Earth observations
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Deep learning for remote sensing mapping of roads, sidewalks, and bicycle lanes in Bogotá
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Improved U-Net with enhanced spatiotemporal features for Chlorophyll-A concentration prediction in the Zhoushan fishery
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Utility of UAV-borne sensors for detecting and mapping water levels in small water bodies: A systematic review of progress, opportunities and challenges
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Water security and hydrosocial resilience in the Peruvian Andes: Remote sensing and cultural governance in the Razuhuillca watershed
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Mapping and spatiotemporal dynamics of aquatic vegetation in the seasonal sub-lakes of Poyang Lake using phenological features
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Estimation of ICESat-Equivalent Arctic winter sea ice thickness From AMSR-E brightness temperature data based on machine learning approach
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A metaheuristic design for hyperparameter tuning of XGBoost: Towards shaping an impeccable strategy for predictive modeling of mineral prospectivity
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