ClimateCharts.net – an interactive climate analysis web platform
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TLDR
The conception and implementation of a web platform which uses special charts and maps for climate monitoring and analysis and enables users to generate individual historical climate charts from the beginning of the twentieth century until present day is described.Abstract:
This article describes the conception and implementation of a web platform which uses special charts and maps for climate monitoring and analysis. At first it gives an overview of related web appli...read more
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Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco
TL;DR: In this article , the authors used the Revised Universal Soil Loss Equation (RUSLE) and the Soil and Water Assessment Tool (SWAT) model in the R’Dom watershed in Morocco, based on the opportunities of Remote Sensing (RS) techniques and Geographical Information System (GIS) geospatial tools.
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High Accuracy Pre-Harvest Sugarcane Yield Forecasting Model Utilizing Drone Image Analysis, Data Mining, and Reverse Design Method
TL;DR: The Wondercane model is an accurate and robust tool that can substantially reduce the issue of sugarcane yield estimate errors and provide the sugar industry with improved pre-harvest assessment of sugarCane yield.
Journal ArticleDOI
Climatic conditions, not above- and belowground resource availability and uptake capacity, mediate tree diversity effects on productivity and stability
TL;DR: In this paper , the authors investigated how above and belowground resource availability and resource uptake capacity mediate tree species diversity effects on aboveground wood productivity and temporal stability of productivity in European forests and whether the effects differ between humid and arid regions.
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Consequences of chemical pretreatments in particle size analysis for modelling wind erosion
TL;DR: In this paper, the impact of different pretreatments to remove binding agents for PSD and consequences for wind erosion modelling have not been tested, and only a few of the samples were assigned to a different texture class.
SENERGY: A Novel Deep Learning-Based Auto-Selective Approach and Tool for Solar Energy Forecasting
TL;DR: SENERGY is a novel deep learning-based auto-selective approach and tool that predicts the best performing deep learning model for global horizontal irradiance (GHI) forecasting in terms of forecasting error and can predict the best forecasting model with 81% accuracy.
References
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World Map of the Köppen-Geiger climate classification updated
TL;DR: A new digital Koppen-Geiger world map on climate classification, valid for the second half of the 20 th century, based on recent data sets from the Climatic Research Unit of the University of East Anglia and the Global Precipitation Climatology Centre at the German Weather Service.
Book
Information Visualization: Perception for Design
TL;DR: The art and science of why the authors see objects the way they do are explored, and the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness.
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Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of 1901-96 Monthly Grids of Terrestrial Surface Climate
Mark New,Mike Hulme,Phil Jones +2 more
TL;DR: In this paper, the authors describe the construction of a 0.58-latent-long gridded dataset of monthly terrestrial surface climate for the period of 1901-96, which consists of seven climate elements: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapor pressure, cloud cover, and ground frost frequency.
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Information visualization and visual data mining
TL;DR: This paper proposes a classification of information visualization and visual data mining techniques which is based on the data type to be visualized, the visualization technique, and the interaction and distortion technique.
Journal ArticleDOI
A comparison of vegetation indices over a global set of TM images for EOS-MODIS
TL;DR: In this paper, a set of Landsat Thematic Mapper images representing a wide range of vegetation conditions from the NASA Landsat Pathfinder, global land cover test site (GLCTS) initiative were processed to simulate the Moderate Resolution Imaging Spectroradiometer (MODIS), global vegetation index imagery at 250 m pixel size resolution.