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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Forecasting Inflation with Economic Narratives and Machine Learning
经济叙事 机器学习 通货膨胀
2023/4/23
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 ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：A novel deep learning approach for tourism volume forecasting with tourist search data
游客搜索数据 旅游量预测 深度学习方法
2023/5/8
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...
FORECASTING AND MONITORING AGRICULTURAL DROUGHT IN THE PHILIPPINES
Remote Sensing Applications Agriculture Drought Natural Hazards Philippines
2016/12/1
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...
Rabi cropped area forecasting of parts of Banaskatha District,Gujarat using MRS RISAT-1 SAR data
Dual polarisations multi-temporal discrimination cropped and un-cropped areas
2016/12/1
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 BASED ON NIGHT LIGHTS
Urban expansion forecasting DMSP/OLS night lights stable lights urban sprawl planning
2016/12/1
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...
FORECASTING ANTARCTIC SEA ICE CONCENTRATIONS USING RESULTS OF TEMPORAL MIXTURE ANALYSIS
Temporal mixture analysis times series model sea ice concentration AR model
2016/11/30
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 ...
DROUGHT FORECASTING BASED ON MACHINE LEARNING OF REMOTE SENSING AND LONG-RANGE FORECAST DATA
Drought Forecasting Machine learning Long-range forecast Remote sensing data
2016/11/30
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...
APPLICATIONS OF THE RESOURCE SATELLITES FOR ENVIRONMENT AND DISASTER MONITORING AND FORECASTING IN DISASTER MONITORNG AND ASSESSMENT
The Resource Satellites constellation the Resource Satellites disaster monitoring assessment
2016/3/17
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 TIME SERIES FOR FORECASTING,HABIAT MODELLING AND VISUALISATION OF THE MANAGED BOREAL FOREST LANDSCAPE
Remote Sensing Forestry Classification Change detection Visualization Development
2015/12/28
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...
A Preliminary Approach to Flood Risk Mapping and Flood Forecasting System for the LDCs
Floods Precipitation Satellite Database Geomorphology
2015/12/18
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...
Development of algorithms and software for forecasting, nowcasting and variability of TEC
Development of algorithms software for forecasting
2015/9/14
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...
Meteosat based agrometeorological monitoring and crop yield forecasting using the energy and water balance monitoring system
Satellite Meteosat MSG EWBMS
2015/9/6
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...
Non-parametric crop yield forecasting, a didatic case study for Zimbabwe
Agriculture Climate Crop
2015/9/6
Operational crop yield forecasting is mostly achieved with empirical statistical regression equations relating regional yield with
predictor variables, termed “factors”. Regional yield (the “dependen...
A comparison and evaluation of performances among crop yield forecasting models based on remote sensing: Results from the GEOLAND Observatory of Food Monitoring
Crop Yield Forecast Remote Sensing Modelling
2015/9/6
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...