Title :
The method of early drought detection with AVHRR/NOAA data
Author :
Spivak, Lev ; Terehov, Alexei ; Muratova, Nadiya ; Arkhipkin, Oleg
Author_Institution :
Inst. of Space Res., Minist. of Sci., Almaty, Kazakhstan
Abstract :
The special Vegetation Temporal Index (VTI) is introduced for estimation of Kazakstan spring temperature-moisture conditions and crop yield forecast. VTI values are defined for each polygons (16×16 km) from 8 to 22 weekly´s NDVI AVHRR/NOAA data (PSQ format). The validation was carried out on 1991, 1992, 1995, 1996 years data. It shown the good correlation between VTI values and corresponding spring wheat crop
Keywords :
agriculture; atmospheric techniques; geophysical techniques; hydrological techniques; rain; remote sensing; AD 1991; AD 1992; AD 1995; AD 1996; AVHRR; IR; Kazakstan; NDVI; NOAA; VTI; Vegetation Temporal Index; agriculture; crop estimation; crop yield forecast; early drought detection; geophysical measurement technique; hydrology; land surface; optical imaging; rain; rainfall; satellite remote sensing; spring temperature-moisture conditions; vegetation mapping; visible; wheat; Calendars; Crops; Springs; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615863
