Results 41 to 50 of about 3,271,202 (325)

Evaluation of Six Satellite-Based Soil Moisture Products Based on in situ Measurements in Hunan Province, Central China

open access: yesFrontiers in Environmental Science, 2022
Long-term near-surface soil moisture (SM) data can be obtained on a regional scale through microwave remote sensing. Therefore, to quantitatively analyze the accuracy of multisource remote sensing–based observation products, improve the retrieval ...
Jiazhi Fan   +6 more
doaj   +1 more source

MAPPING COLOURED DISSOLVED ORGANIC MATTER IN MANILA BAY USING SENTINEL-3 AND WASI [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Manila Bay is one of the most significant bodies of water in the Philippines; it has abundant natural resources that have been the source of livelihood and center of socio-economic development for centuries.
A. Manuel   +5 more
doaj   +1 more source

Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach

open access: yesRemote Sensing, 2018
Cloud detection is the first step for the practical processing of meteorology satellite images, and also determines the accuracy of subsequent applications.
Hualian Fu   +7 more
semanticscholar   +1 more source

Quantifying the potential for improved management of weather risk using sub‐seasonal forecasting: The case of UK telecommunications infrastructure

open access: yesMeteorological Applications, 2020
Reliable and affordable telecommunications are an integral part of service‐based economies, but the nature of the associated physical infrastructure leads to considerable exposure to weather.
David J. Brayshaw   +3 more
doaj   +1 more source

Identifying Significant Cognitive Factors for Practicing and Learning Meteorology

open access: yesJournal of Operational Meteorology, 2019
Understanding which cognitive factors facilitate meteorology skills is important for meteorology training and education. This study investigated aspects of cognition important to successful completion of meteorology tasks typically provided to student ...
P. McNeal   +3 more
semanticscholar   +1 more source

Meteorological training for the digital age: A Blueprint for a new curriculum [PDF]

open access: yes, 2018
Almost all professional meteorologists take part in meteorological training during their undergraduate or graduate study or professional job training in the public or private sector. Increased benefits can be accrued by employers and employees, if this training is based on the same underpinning skills and attributes, aimed to equip people entering ...
Elizabeth McCrum   +9 more
openaire   +2 more sources

Analysis of Machine Learning Approaches’ Performance in Prediction Problems with Human Activity Patterns

open access: yesMathematics, 2022
Prediction problems in timed datasets related to human activities are especially difficult to solve, because of the specific characteristics and the scarce number of predictive (input) variables available to tackle these problems.
Ricardo Torres-López   +5 more
doaj   +1 more source

Why the Increasing Trend of Summer Rainfall over North China Has Halted since the Mid-1990s

open access: yesAdvances in Meteorology, 2020
Previous studies indicate that the summer (July-August) rainfall over North China has decreased since the mid-1970s due to the weakening of East Asian summer monsoon (EASM). However, this study firstly discovers the new evidences that the summer rainfall
Haiwen Liu   +5 more
doaj   +1 more source

Effects of random forest modeling decisions on biogeochemical time series predictions

open access: yesLimnology and Oceanography: Methods, 2022
Random forests (RF) are an increasingly popular machine learning approach used to model biogeochemical processes in the Earth system. While RF models are robust to many assumptions that complicate deterministic models, there are several important ...
P. Regier   +3 more
semanticscholar   +1 more source

Exploiting Domain Knowledge to Address Class Imbalance in Meteorological Data Mining

open access: yesApplied Sciences, 2022
We deal with the problem of class imbalance in data mining and machine learning classification algorithms. This is the case where some of the class labels are represented by a small number of examples in the training dataset compared to the rest of the ...
Evangelos Tsagalidis   +1 more
doaj   +1 more source

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