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182
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183
Environmental Covariates for Sampling Optimization and Pest Prediction in Soybean Crops
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184
Spatial monitoring of land surface temperature and solar radiation energy using remote sensing data and geo statistics (Case study: Lut desert)
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185
Land use and land cover spatiotemporal dynamic pattern and predicting changes using integrated CA-Markov model
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186
Geospatial Information as a Tool for Soil Resource Information, Management and Decision Support in Nigeria
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187
The impact of drought on forest spring phenology in northern China
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188
The role of continuous monitoring in acute-care settings for predicting all-cause 30-day hospital readmission: A pilot study
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189
Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka
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190
Characterizing local forest structural complexity based on multi-platform and -sensor derived indicators
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191
Measuring above-ground carbon stock using spatial analysis and the InVEST model: application in the Thoria Watershed, India
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192
High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion
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193
Historical and projected forest cover changes in the Mount Kenya Ecosystem: Implications for sustainable forest management
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194
LCMorph: Exploiting Frequency Cues and Morphological Perception for Low-Contrast Road Extraction in Remote Sensing Images
Published 2025-01-01Subjects: “…remote sensing…”
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195
Geospatial Information as a Tool for Soil Resource Information, Management and Decision Support in Nigeria
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196
Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan
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197
Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence
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198
Accelerated River Meander Migration on the Tibetan Plateau Caused by Permafrost Thaw
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199
A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet
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200
Classification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion
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