Remotely Sensed Phenology of Coffee and Its Relationship to Yield

被引：9
|
作者：
Brunsell, N. A. [1 ,2 ]
Pontes, P. P. B. [2 ]
Lamparelli, R. A. C. [3 ]
机构：
[1] Univ Kansas, Dept Geog, Lawrence, KS 66045 USA
[2] Univ Estadual Campinas, Dept Agr Engn, Sao Paulo, Brazil
[3] Univ Estadual Campinas, Meteorol & Climatol Res Ctr Appl Agr, Sao Paulo, Brazil
来源：
GISCIENCE & REMOTE SENSING | 2009年 / 46卷 / 03期
关键词：
TRANSPIRATION; MANAGEMENT; RIPENESS; COVER; LEAF;
D O I：
10.2747/1548-1603.46.3.289
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Due to complex microclimatic interactions, a biannual phenological cycle, and the generally small scale of coffee plantations, there have been few applications of satellite observations to examine coffee yield. Using 2001-2006 data, surface precipitation and air temperature are related to MODIS surface temperature and fractional vegetation. Using lagged correlation analysis and deviations from the annual cycle, yield is related to accumulated deviations in fractional vegetation. Results imply that the coarse spatial resolution of MODIS data is compensated for by high temporal coverage, which allows for determination of coffee phenology.
引用
收藏
页码：289 / 304
页数：16
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