DocumentCode
315098
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
Volume
1
fYear
1997
fDate
3-8 Aug 1997
Firstpage
281
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IGARSS.1997.615863
Filename
615863
Link To Document