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.
Ecological and hydrological cycles play a key role in global climate dynamics. Remote sensing data are important in climate studies as they provide a global coverage of important hydrological variables at a variety of spatial and temporal scales. In this paper we study the long term relationships between NDVI derived from AVHRR and microwave brightness temperature from SSM/I sensor for different climate...
The radiation of the 4th channel data of AVHRR used was adjusted. After that, the luminance temperature which is equivalent radiation is acquired through computation. According to a majority of researchers' procedure, the difference of luminance temperature between urban and suburb was used to stand for Heat Island temperature and expressed by centigrade temperature. We summed up twelve cities' square...
In this work, a method for determining the micro- and macro-physical properties of cirrus clouds from NOAA- AVHRR daylight imagery is presented. The combined use of the radiances measured by satellites and an atmospheric radiative transfer model makes possible to obtain cirrus properties, such as optical thickness, mean effective ice crystal size and temperature, through an inversion method. Due to...
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...
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.