Surface phenology and satellite sensor-derived onset of greenness: an initial comparison
Surface phenology and satellite sensor-derived onset of greenness: an initial comparison
复制标题
DOI：
10.1080/014311699211499
复制
发表时间：
1999
影响因子：
3.4
通讯作者：
M. D. Schwartz;B. Reed
中科院分区：
文献类型：
--
作者：
M. D. Schwartz;B. Reed
这项工作的目的是通过将卫星传感器获得的物候数据与模拟物候进行比较，记录其实用性。地面物候模型输出（第一叶和第一次开花日期）与卫星传感器得出的季节开始（SOS）日期为1991-1995年在美国东部呈正相关。相关性最高的森林（r 0.62的落叶乔木和0.64的混交林）和高草（r 0.46）和最低的矮草（r 0.37）。所有土地覆被类型的平均相关系数为0.61。在所有土地覆盖类型中，平均SOS日期始终早于春季指数日期。这一发现和有限的本地树木物候数据表明，SOS技术检测林下绿化的森林，而不是overstorey物种。卫星传感器数据每两周一次的时间分辨率对预测准确性设置了上限;因此，各个地点的年与年之间的变化通常很小。然而，T...
The objective of this work was to document the utility of phenological data derived from satellite sensors by comparing them with modelled phenology. Surface phenological model outputs (first leaf and first bloom dates) were correlated positively with satellite sensor-derived start of season (SOS) dates for 1991-1995 across the eastern United States. The correlation was highest for forest (r 0.62 for deciduous trees and 0.64 for mixed woodland) and tall grass (r 0.46) and lowest for short grass (r 0.37). The average correlation over all land cover types was 0.61. Average SOS dates were consistently earlier than Spring Index dates across all land cover types. This finding and limited native tree phenology data suggest that the SOS technique detects understorey green-up in the forest rather than overstorey species. The biweekly temporal resolution of the satellite sensor data placed an upper limit on prediction accuracy; thus, year-to-year variations at individual sites were typically small. Nevertheless, t...