Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach-Reference-Cited by-同舟云学术

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Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach

Published:2015-06 Issue: Volume:163 Page:42-47
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Pisek Jan,Rautiainen Miina,Nikopensius Maris,Raabe Kairi

Funder

Estonian Science Foundation

Academy of Finland

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference31 articles.

1. Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS;Ahl;Remote Sensing of Environment,2006

2. Variability of biome reflectance directional signatures as seen by POLDER;Bacour;Remote Sensing of Environment,2005

3. Retrieving forest background reflectance in a boreal region from multi-angle Imaging SpectroRadiometer (MISR) data;Canisius;Remote Sensing of Environment,2007

4. A four-scale bidirectional reflectance model based on canopy architecture;Chen;IEEE Transactions on Geoscience and Remote Sensing,1997

5. Recent advances in geometrical optical modeling and its applications;Chen;Remote Sensing Reviews,2000

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