1985
DOI: 10.1016/0273-1177(85)90343-6
|View full text |Cite
|
Sign up to set email alerts
|

Vegetation health: Nature's climate monitor

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
10
0

Year Published

2003
2003
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 18 publications
(10 citation statements)
references
References 5 publications
0
10
0
Order By: Relevance
“…Strong correlations between NDVI and interannual precipitation variability related to ENSO in deserts in Australia, South America, and Africa (27,28) indicate that the processes described in the U.S. Southwest may apply to deserts globally. The strength of the NDVI-precipitation relationships has resulted in the proposed use of NDVI as a proxy for precipitation variability (27,29).…”
Section: Resultsmentioning
confidence: 99%
“…Strong correlations between NDVI and interannual precipitation variability related to ENSO in deserts in Australia, South America, and Africa (27,28) indicate that the processes described in the U.S. Southwest may apply to deserts globally. The strength of the NDVI-precipitation relationships has resulted in the proposed use of NDVI as a proxy for precipitation variability (27,29).…”
Section: Resultsmentioning
confidence: 99%
“…The foundation for using NDVI data in monitoring arid and semi-arid lands is based on a large body of research in the 1980s in a wide range of arid land regions demonstrating the close relationship between NDVI and rainfall variations on seasonal to interannual time scales (Gray and Tapley, 1985;Tucker et al, 1985;Justice and Hiernaux, 1986;Townshend and Justice, 1986;Nicholson et al, 1990;Tucker et al, 1991;Tucker and Nicholson, 1999;Rasmusson, 1998). This relationship between NDVI and rainfall provided the basis for using time series NDVI data for drought monitoring and development of famine early warning derived from a blend of satellite measurements and rain gauge network (a-top).…”
Section: Data and Analysis Methodsmentioning
confidence: 99%
“…Presented as a time series, the NDVI is a good indicator of vegetation phenology [ Townshend and Justice , 1985]. A number of studies have shown that temporal variations in NDVI are associated with the seasonal dynamics of rainfall and evapotranspiration in a wide range of environmental conditions [ Gray and Tapley , 1985; Justice et al , 1986; Nicholson et al , 1990; Cihlar et al , 1991] and on global scale with atmospheric CO 2 fluxes. The compilation of more than 20 years of these data has resulted in more detailed studies of the biosphere‐climate coupling.…”
Section: Data and Analysis Methodsmentioning
confidence: 99%