青海省牧草产量的遥感估算及其时空分布规律  

Pasture production and its spatio-temporal distribution pattern in Qinghai Province: An estimation with remote sensing

作　　者：侯英雨[1] 毛留喜 钱拴 伏洋[3] 

机构地区：[1]中国科学院遥感应用研究所,北京100101 [2]国家气象中心,北京100081 [3]青海省气象局,西宁810001

出　　处：《生态学杂志》2006年第11期1428-1434,共7页Chinese Journal of Ecology

基　　金：科技部科研院所社会公益研究专项资金项目(2003DJB4J144);中国气象局新技术推广资助项目(CMATG2006M01)。

摘　　要：以青海省为例，基于植被指数（NDVI）和地面实测资料建立了不同草地类型的牧草产量遥感估算模型。并利用地面实测资料对模型精度进行了检验。结果表明，所有模型拟合结果良好（R^2≥0．67），精度较高，能够对牧草产量进行动态监测；基于建立的牧草产量遥感估算模型，反演了青海省2004年5～8月基于像元尺度的月牧草产量分布图，并对牧草产量的空间分布特征、时间演变规律进行了详细分析。研究表明，青海省牧草产量空间分布主要与草地类型密切相关，同时也与其地貌、土壤和气候特征有关。而牧草产量的年内季节变化则主要与牧草生长及气候变化规律有关。Based on the Normalized Difference Vegetation Index （NDVI） and the actual observation data, the pasture production estimation models for different types of grassland in Qinghai Province were established and validated. The results showed that all the modeks had high precision, and the correlation coefficients （R2） obtained from all regression equations were higher than 0.67, indicating that the modeks could be used to estimate the pasture production in a large area at a near-real time. By using the established models, the monthly pasture production on a cell scale in the province from May to August 2004 was retrieved. Based on the images of pasture production distribution retrieved in different periods, the temporal-spatial distribution pattern of pasture production was analyzed, and the results indicated that in Qinghai Province, the temporal distribution of pasture production was mainly determined by the pasture growth cycle and climate change, while the spatial distribution was related to the grassland type and its climatic attributes.

关 键 词：牧草 产量估算模型 遥感 时空分布特征 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] Q948[自动化与计算机技术—控制科学与工程]