Results 21 to 30 of about 692,259 (288)
Inversion Models for the Retrieval of Total and Tropospheric NO2 Columns
Inversion models for retrieving the total and tropospheric nitrogen dioxide ( NO 2 ) columns from spaceborne remote sensing data are presented.
Song Liu
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Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion [PDF]
Atmospheric trace-gas inversion is the procedure by which the sources and sinks of a trace gas are identified from observations of its mole fraction at isolated locations in space and time. This is inherently a spatio-temporal bivariate inversion problem,
Cressie, Noel +2 more
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Leaf Area Index of Summer Maize Estimated Using UAV-Based Multispectral Imageries
【Background】 Leaf area index (LAI) is an indicator of crop health and controls photosynthesis and transpiration of crops, however, its measurement is nontrivial.
XU Honggang +5 more
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Language models produce a distribution over the next token; can we use this information to recover the prompt tokens? We consider the problem of language model inversion and show that next-token probabilities contain a surprising amount of information about the preceding text.
Morris, John X. +4 more
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To better understand the future evolution of Jiemayangzong Glacier (JMYZG), the headstream of the Yarlung Zangbo River, we simulated its future ice thickness evolution using a two-dimensional higher-order numerical flowline model.
Zhan Yan +6 more
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Research on the Inversion Model of Cultivated Land Quality Using High-Resolution Remote Sensing Data
Cultivated land quality is an essential measure of cultivated land production capability. Establishing a cultivated land quality inversion model based on high-resolution remote sensing data provides a scientific basis for regional cultivated land ...
Mengmeng Tang +6 more
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The heading stage of rice is a critical period for disease control, such as for panicle blast. The rapid and accurate monitoring of rice growth is of great significance for plant protection operations in large areas for mobilizing resources.
Bin Ma +3 more
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Ensemble Kalman filter for neural network based one-shot inversion
We study the use of novel techniques arising in machine learning for inverse problems. Our approach replaces the complex forward model by a neural network, which is trained simultaneously in a one-shot sense when estimating the unknown parameters from ...
Guth, Philipp A. +2 more
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Soil nitrogen and phosphorus are directly related to soil quality and vegetation growth and are, therefore, a common research topic in studies on global climate change, material cycling, and information exchange in terrestrial ecosystems.
Leichao Nie +39 more
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As a basic agricultural parameter in the formation, transformation, and consumption of surface water resources, soil moisture has a very important influence on the vegetation growth, agricultural production, and healthy operation of regional ecosystems ...
Yan Nie, Ying Tan, Yuqin Deng, Jing Yu
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