Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos
Pauline Stenberg, Panu Lahtinen, Pekka Voipio and 2 more
Remote Sensing · 2009
doi:10.3390/rs1041380 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
A new simple airborne method based on wide optics camera is developed for leaf area index (LAI) estimation in coniferous forests. The measurements are carried out in winter, when the forest floor is completely snow covered and thus acts as a light background for the hemispherical analysis of the images. The photos are taken automatically and stored on a laptop during the flights. The R2 value of the linear regression of the airborne and ground based LAI measurements was 0.89.
Abstract licence: CC BY
References18
18 more references, whose wording the paper’s licence keeps private.
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.