A new NDVI measure that overcomes data sparsity in cloud-covered regions predicts annual variation in ground-based estimates of high arctic plant productivity
Efforts to estimate plant productivity using satellite data can be frustrated by the presence of cloud cover. We developed a new method to overcome this problem, focussing on the high-arctic archipelago of Svalbard where extensive cloud cover during the growing season can prevent plant productivity...
Main Authors: | Stein Rune Karlsen, Helen B Anderson, René van der Wal, Brage Bremset Hansen |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2018-01-01
|
Series: | Environmental Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/aa9f75 |
Similar Items
-
Spatial and Temporal Variability in the Onset of the Growing Season on Svalbard, Arctic Norway — Measured by MODIS-NDVI Satellite Data
by: Stein Rune Karlsen, et al.
Published: (2014-08-01) -
Seasonal And Annual Variability Of Svalbard Cloud Cover
by: Schmitt Amelie, et al.
Published: (2022-09-01) -
Changes in greening in the high Arctic: insights from a 30 year AVHRR max NDVI dataset for Svalbard
by: Hannah Vickers, et al.
Published: (2016-01-01) -
Warming, Sheep and Volcanoes: Land Cover Changes in Iceland Evident in Satellite NDVI Trends
by: Martha Raynolds, et al.
Published: (2015-07-01) -
Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard
by: Stein Rune Karlsen, et al.
Published: (2021-08-01)