Normalized Difference Vegetation Index
PulseAugur coverage of Normalized Difference Vegetation Index — every cluster mentioning Normalized Difference Vegetation Index across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Study links urbanization and land cover to bird diversity in Sri Lanka
A new study published on arXiv analyzes bird diversity in Sri Lanka, integrating spatial, temporal, and environmental data to understand the factors influencing species richness. The research combined bird observation r…
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New UAV dataset captures Indian paddy crop growth stages
Researchers have released a comprehensive dataset of multispectral and RGB images captured by a UAV over Indian paddy fields. This dataset covers all growth stages of the crop, from nursery to harvest, and includes high…
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New EO-WM model improves Earth observation forecasting with physics-informed AI · 3 sources tracked
Researchers have developed EO-WM, a novel video diffusion transformer designed for probabilistic Earth Observation forecasting. This model incorporates a physically informed conditioning framework to better represent me…
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GMBFormer improves urban green-space extraction with NDVI-guided memory bank
Researchers have developed GMBFormer, a new Transformer-based framework designed to improve the extraction of urban green spaces from ultra-high-resolution imagery. This model utilizes Normalized Difference Vegetation I…
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Deep learning frameworks compared for rice disease mapping
Researchers compared various deep learning frameworks for mapping rice disease severity using UAV multispectral imagery. The study evaluated architectures like U-Net, U-Net++, DeepLabV3+, and SegFormer, testing them wit…
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AI model forecasts vegetation health from sparse satellite data
Researchers have developed a new probabilistic forecasting framework to predict vegetation dynamics using sparse satellite data and weather information. This approach addresses challenges posed by irregular satellite sa…
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Machine learning model maps soil salinity in Bangladesh
Researchers have developed a machine-learning framework to map and predict soil salinity in Satkhira, Bangladesh, using field data and satellite imagery. An Extreme Gradient Boosting model, trained on 205 soil samples, …