Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA

被引：36

作者：

Foody, Giles M.

Dash, Jadunandan

机构：

[1] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England

[2] Univ Southampton, Sch Geog, Southampton SO17 1BJ, Hants, England

来源：

ECOLOGICAL INFORMATICS | 2007年 / 2卷 / 02期

基金：

英国自然环境研究理事会;

关键词：

remote sensing; Grassland; C3 and C4 photosynthesis; MERIS MTCI;

D O I：

10.1016/j.ecoinf.2007.03.009

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

There is uncertainty about the extent and distribution of grasslands following the C3 and C4 photosynthetic pathways. Since these grasses have an asynchronous seasonal profile it should be possible to estimate and map the C3-C4 composition of grasslands from multi-temporal remote sensing imagery. This potential was evaluated using 30 weekly composite MERIS MTCI images for South Dakota, USA. Derived relationships between the remotely sensed response and composition of grasslands were significant, with R-2 similar to 0.6. It also appears possible to map broad classes of grassland composition, with a three class (high, medium and low C3 cover) classification having an accuracy of 77.8%.

引用

页码：89 / 93

页数：5

共 10 条

[1] Stochastic models that predict trout population density or biomass on a mesohabitat scale [J].