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In this paper we apply economic narratives to inflation forecasting using a large news corpus and machine learning algorithms. We measure economic narratives quantitatively from the full text content ...
Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, whi...
A monitoring and forecasting sytem is developed to assess the extent and severity of agricultural droughts in the Philippines at various spacial scales and across different time periods. Using Earth o...
Radar sensors can be used for large-scale vegetation mapping and monitoring using backscatter coefficients in different polarisations and wavelength bands. Due to cloud and haze interference, optical ...
Forecasting urban expansion models are a very powerful tool in the hands of urban planners in order to anticipate and mitigate future urbanization pressures. In this paper, a linear regression forecas...
Sea ice concentration (SIC) data acquired by passive microwave sensors at daily temporal frequencies over extended areas provide seasonal characteristics of sea ice dynamics and play a key role as an ...
The reduction of drought impacts may be achieved through sustainable drought management and proactive measures against drought disaster. Accurate and timely provision of drought information is essenti...
The recent floods in Louisiana have reminded the nation of the devastation these disasters can cause, resulting in more than a dozen deaths and damaging more than 40,000 homes. David Maidment, a civil...
The Satellite Constellation for Environment and Disaster Monitoring and Forecasting is a new generation of in-building remote sensing constellation. Just as the name, the new constellation was especia...
Satellite data of Landsat and SPOT type are operationally used in Sweden for nationwide forest mapping; for detection of clear felled areas and for checking the need for deciduous shrub cleaning in yo...
The aim of the project is the development of an Early Warning system for flood events based on precipitation analysis and related to historical flooded area detection.The recently change of Humanitari...
Total Electron Content (TEC) is an important characteristic of the ionosphere relevant to communications. Unpredictable variability of the ionospheric parameters due to various disturbances limits the...
This paper provides an overview of the Energy and Water Balance Monitoring System (EWBMS). This Meteosat based system provides continuous agrometeorological data fields over large regions at pixel sp...
Operational crop yield forecasting is mostly achieved with empirical statistical regression equations relating regional yield with predictor variables, termed “factors”. Regional yield (the “dependen...
In the context of the GEOLAND EC FP6 project the comparison of different remote sensing based approaches for yield forecasting over large areas in Europe are tested and results inter-compared. In par...

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