Forest biomass estimation through NDVI composites.: The role of remotely sensed data to assess Spanish forests as carbon sinks

被引：51

作者：

Gonzalez-Alonso, F. ^{[1
]}

Merino-De-Miguel, S. ^{[1
]}

Roldan-Zamarron, A. ^{[1
]}

Garcia-Gigorro, S. ^{[1
]}

Cuevas, J. M. ^{[1
]}

机构：

[1] INIA, Minist Educ & Sci, Ctr A Coruna, Forest Res Ctr,Remote Sensing Lab, Madrid 28040, Spain

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2006年 / 27卷 / 23-24期

关键词：

D O I：

10.1080/01431160600830748

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The present Study is focused on the capabilities of remote sensing data and techniques to help in the monitoring of forest ecosystems as carbon sinks. It will attempt to find statistical relationships between satellite-derived NDVI (Normalized Difference Vegetation Index) data from SPOT-VEGETATION and NOAA-AVHRR and field measurements from the Spanish National Forest Inventory oil the geographical basis of provinces. Statistically significant relationships were obtained when correlating the aforementioned datasets. These relationships were then used to predict forest biomass at a national level, in order to obtain updated forest information between consecutive National Forest Inventories.

引用

页码：5409 / 5415

页数：7

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