The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Based on 1961-2003 NCEP/NCAR reanalysis treated with EOF, wavelet and cross wavelet techniques we investigate different space patterns of July-September precipitation over Fujian in relation to summer monsoon over the NW Pacific and Indian Ocean at a range of time scales. Results show that 1) the uniform rainfall all over the province and opposite distribution of precipitation in the SE to the NW...
A number of the major human infectious diseases (like malaria and dengue) and Desert Locusts that still plague the developing world are sensitive to inter-seasonal and inter-decadal changes in environment and climate. Monitoring variations in environmental conditions such as rainfall and vegetation helps decision-makers at Ministries of Agriculture and Ministries of Health to assess the risk levels...
The spatial relationship between vegetation patterns and climatic variables and its trend over the period 1985-2001 in the shrubland, grassland, and cropland of Middle Kazakhstan was investigated with normalized difference vegetation index (NDVI) images (1985-2000) derived from the Advanced Very High Resolution Radiometer (AVHRR), and climate records from weather stations located in the study area...
This research integrated the RMsed Universal Soil Loss Equation (RUSLE) model with RS and GIS techniques to quantify soil erosion risk, took upper Chaobai River basin, China as an example to map soil erosion within ArcGIS environment by using the RUSLE model. The RUSLE factors were developed from local rainfall, topographic, soil classification and land use data. This study proved that the integration...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.