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Title: Snow Cover seasonality in Kyrgyzstan 2001-2021 observed by the Terra MODIS snow product ; Land Surface Phenology at a Crossroads: Characterizing Seasonalities Using Remote Sensing
Abstract:
Using two decades of MODIS snow-cover data, we investigated trends in four snow seasonality metrics: First Date of Snow (FDoS); Last Date of Snow (LDoS); Duration of the Snow Season (DoSS); and Snow-Covered Days (SCD) across Kyrgyzstan. In our nonparametric approach, we analyzed trends within elevation ranges at two administrative levels: oblast and rayon. We found notable trends to earlier FDoS below 3000 m and more SCD between 1500-3500 m in western KG. We also found the notable trends towards earlier LDoS at both oblast and rayon levels. This analysis revealed more area (107-130%) trending to earlier FDoS than earlier LDoS, highlighting a counterintuitive finding: longer snow seasons starting earlier at lower elevations." ; Land surface phenology is defined as the seasonal pattern of variation in vegetated land surfaces observed from remote sensing. The literature continues to be confused over concepts and terms, ignoring the fundamental problem of reconciling scales of observation. Moreover, there are myriad misguided searches for simple explanations to truly complex phenomena. However, the increasing availability of high-cadence image time series offers the opportunity to think anew about characterizing seasonalities using remote sensing. Here I outline the problems facing LSP research and offer a novel approach to characterizing seasonalities in the vegetated land surface with examples from croplands in Romania and montane pastures in Kyrgyzstan."
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Last modified:
Nov 21, 2024
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http://bc.igik.edu.pl/publication/1424
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