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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...
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...
QUNATITATIVE PRECIPITATION FORECASTING USING CLOUD-BASED TECHNIQUES ON AVHRR DATA
Real- time High resolution Precipitation Modeling Classification Processing
2015/7/29
Tri-yearly recurrence of flooding in Malaysia has made floods the most important significant natural disaster in the country in terms of
cost and damage to property. Many hydrological and hydraulic ...
THE USE OF ADAPTIVE (TARGETED) OBSERVATIONS IN OPERATIONAL NUMERICAL WEATHER FORECASTING
Adaptive Observations Targeted Observations Remote Sensing Numerical Weather Prediction
2015/5/12
Over the past 40 years there have been significant improvements in weather forecasting. These improvements are primarily due to (1)
improved model physics and increased numerical grid resolution made...
CROP INVENTORY AND PRODUCTION FORECASTING USING REMOTE SENSING AND AGROMETOROLOGICAL MODELS:THE CASE OF MAJOR AGRICULTURAL COMMODITIES IN HAMADAN PROVINCE,IRAN
Crop inventory Remote sensing Agrometorological models Production forecasting Monitoring
2015/2/4
This paper summarises the result and findings of a research project, that was aiming at design and development of an
information system which supports crop forecasting of major agricultural commoditi...
Dynamics and forecasting of population growth and urban expansion in Srinagar City – A Geospatial Approach
Urban Sprawl Population Regression Temporal
2014/12/15
The urban areas of developing countries are densely populated and need the use of sophisticated monitoring systems, such as remote sensing and geographical information systems (GIS). The urban sprawl ...
A Comparison of Neighbourhood Selection Techniques in Spatio-Temporal Forecasting Models
Spatio-temporal forecasting prediction transportation model selection variable selection
2014/11/28
Spatio-temporal neighbourhood (STN) selection is an important part of the model building procedure in spatio-temporal forecasting. The STN can be defined as the set of observations at neighbouring loc...