id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_septivkparfmzg2isgi3wddoeu	Alison L. Beamish	Monitoring pigment-driven vegetation changes in a low-Arctic tundra ecosystem using digital cameras	2018.0	14	.pdf	application/pdf	8780	867	60	Arctic vegetation phenology is a sensitive indicator of a changing climate, and rapid assessment of vegetation status is necessary to more comprehensively understand the impacts on foliar condition Simple linear regression was used to investigate relationships between common pigment-driven spectral indices calculated from field-based spectrometry and red, green, and blue (RGB) indices from corresponding digital photographs in three dominant vegetation communities across three major seasons at Toolik Lake, North Slope, Alaska. used to relate RGB indices and extracted leaf-level pigment content with a simple additive error propagation of the root mean square error. strongly to the response of pigment-driven spectral indices and RGB data can act as a surrogate to track low-cost, easy-to-use digital cameras can monitor vegetation status and changes related to seasonal foliar Key words: hyperspectral; low-Arctic; red, green, and blue indices; true-color digital photography; vegetation surrogate for in situ spectral data in assessing pigment-driven vegetation changes associated with Using the spectral reflectance data, we calculated common pigment-driven vegetation indices,	./cache/work_septivkparfmzg2isgi3wddoeu.pdf	./txt/work_septivkparfmzg2isgi3wddoeu.txt