Using phenological information derived from MODIS-data to aid nutrient modeling

被引：4

作者：

Torma, Markus ^{[1
]}

Rankinen, Katri ^{[1
]}

Harma, Pekka ^{[1
]}

机构：

[1] Finnish Environm Inst SYKE, Helsinki, Finland

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

关键词：

MODIS; phenology; NDVI; nutrient modeling;

D O I：

10.1109/IGARSS.2007.4423300

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The use of MODIS data for helping nutrient modeling has been tested in Finnish Loimijoki river basin during year 2006. Phenological time-series was constructed by computing weekly maximum NDVI-mosaics for study period. The important dates of growing season like beginning of greening, peak of growing season and senescence were extracted from time-series. The nutrient modeling has been made using the dynamic INCA-N semi-distributed model which integrates hydrology and N processes. The use of phenological time-series improved predictions of model compared to the case when we used average growing season as input. This improvement happened in spring in the beginning of growing season, which is in the northern countries crucial time for nutrient leaching due to high runoff after snowmelt.

引用

页码：2298 / 2301

页数：4