Jeremy I. Fisher

TL;DR: In this paper, the accuracy of satellite-derived metrics with direct field measurements was quantified through higher-resolution satellite records (Landsat) and quantitatively validated with multiple springtime ground observations (r 2 = 0.91).

TL;DR: Phenology is the study of recurring life-cycle events, classic examples being the flowering of plants and animal migration as mentioned in this paper, which are increasingly relevant for addressing applied environmental issues.

TL;DR: In this article, the authors compare phenology from Landsat (field scale, 30 m) to MODIS (500 m) and compare datasets derived from each instrument, and show that the satellite data effectively estimates interannual phenology at two relatively simple deciduous forest sites and is internally consistent, even with changing spatial scale.

TL;DR: In this paper, the authors used a two-parameter spring warming phenology model to explore the relationship between climate and satellite-based phenology, and employed daily air temperature records between 2000 and 2005 for 171 National Oceanographic and Atmospheric Administration weather stations located throughout New England to construct spring warming models predicting the onset of spring.

TL;DR: In this article, the authors used a recursive curve-fitting algorithm to fit these data and eliminate cloud contamination, resulting in an average daily temperature at every 60-m pixel, which is validated against long-term in situ records that were analyzed with the same techniques.