Extracting vegetation phenology metrics in Changbai Mountains using an improved logistic model
Extracting vegetation phenology metrics in Changbai Mountains using an improved logistic model
复制标题
使用改进的逻辑模型提取长白山植被物候指标
DOI：
10.1007/s11769-011-0471-3
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发表时间：
2011-05
影响因子：
3.4
通讯作者：
Meng Xiangjun
中科院分区：
文献类型：
--
作者：
Li Ming;Wu Zhengfang;Qin Lijie;Meng Xiangjun
现在可以利用遥感图像监测大面积的植被动态。将双Logistic模型与全局函数相结合，提出了一种改进的Logistic模型。利用SPOT/NDVI数据，提取了长白山地区3个关键的植被物候指标：生长季开始（SOS）、生长季结束（EOS）和生长季长度（LOS），并建立了关键物候指标与海拔的关系。结果表明，长白山森林、农田和草地的SOS平均值分别为119、145和133天。森林和草地的EOS相似，平均值分别为280和278。相比之下，农田的平均EOS相对较早。森林的服务水平主要分布在160 ~ 180层，草地的服务水平分布在140 ~ 160层，农田的服务水平分布在110 ~ 130层。在研究区相同的土地覆盖下，随着纬度的增加，SOS明显延迟，EOS变得更早。在海拔高于900米的地区，当海拔增加100米时，SOS延迟约3天（a. S. l.）。随着海拔的升高，EOS略早，尤其是在海拔1200 m以下的地区。S. L.在海拔900 m以上的地区，海拔每增加100 m，视距缩短约4天。S. L.植被物候指标与海拔的关系可能受到土地覆被的影响。通过与野外数据和前人研究成果的对比验证，表明改进的Logistic模型是提取植被物候指标的可靠有效方法。
Remotely sensing images are now available for monitoring vegetation dynamics over large areas. In this paper, an improved logistic model that combines double logistic model and global function was developed. Using this model with SPOT/NDVI data, three key vegetation phenology metrics, the start of growing season (SOS), the end of growing season (EOS) and the length of growing season (LOS), were extracted and mapped in the Changbai Mountains, and the relationship between the key phenology metrics and elevation were established. Results show that average SOS of forest, cropland and grassland in the Changbai Mountains are on the 119th, 145th, and 133rd day of year, respectively. The EOS of forest and grassland are similar, with the average on the 280th and 278th, respectively. In comparison, average EOS of the cropland is relatively earlier. The LOS of forest is mainly from the 160th to 180th, that of the grassland extends from the 140th to the 160th, and that of cropland stretches from the 110th to the 130th. As the latitude increases for the same land cover in the study area, the SOS significantly delays and the EOS becomes earlier. The SOS delays approximately three days as the elevation increases 100 m in the areas with elevation higher than 900 m above sea level (a. s. l.). The EOS is slightly earlier as the elevation increases especially in the areas with elevation below 1200 m a. s. l. The LOS shortens approximately four days as the elevation increases 100 m in the areas with elevation higher than 900 m a. s. l. The relationships between vegetation phenology metrics and elevation may be greatly influenced by the land covers. Validation by comparing with the field data and previous research results indicates that the improved logistic model is reliable and effective for extracting vegetation phenology metrics.
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影响因子：
3.4
作者：
M. D. Schwartz;B. Reed
通讯作者：
M. D. Schwartz;B. Reed
影响因子：
3.2
作者：
Karlsen, Stein Rune;Solheim, Inger;Tommervik, Hans
通讯作者：
Tommervik, Hans
影响因子：
3.4
作者：
J. F. Hermance
通讯作者：
J. F. Hermance
影响因子：
2.5
作者：
D. Ratkowsky
通讯作者：
D. Ratkowsky
影响因子：
11.6
作者：
Piao, SL;Fang, JY;Zhu, B
通讯作者：
Zhu, B