Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data

@article{Melaas2013DetectingIV,
  title={Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data},
  author={E. Melaas and M. Friedl and Zhe Zhu},
  journal={Remote Sensing of Environment},
  year={2013},
  volume={132},
  pages={176-185}
}
Abstract Observations of vegetation phenology provide valuable information regarding ecosystem responses to climate variability and change. Phenology is also a first-order control on terrestrial carbon and energy budgets, and remotely sensed observations of phenology are often used to parameterize seasonal vegetation dynamics in ecosystem models. Current land surface phenology products are only available at moderate spatial resolution and possess considerable uncertainty. Higher resolution… Expand
Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series
Change point estimation of deciduous forest land surface phenology
Phenology analysis of moist decedous forest using time series Landsat-8 remote sensing data
  • Siddhartha Khare, S. Rossi
  • Environmental Science
  • 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
  • 2019
Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 43 REFERENCES
Measuring phenological variability from satellite imagery
Monitoring vegetation phenology using MODIS
Using FLUXNET data to improve models of springtime vegetation activity onset in forest ecosystems
Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006
...
1
2
3
4
5
...