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River restoration projects, which aim at improved flood safety and increased ecological value, have resulted in more heterogeneous vegetation. However, they also resulted in increasing hydraulic rough...
To assess the phenological changes in Moist Deciduous Forest (MDF) of western Himalayan region of India, we carried out NDVI time series analysis from 2013 to 2015 using Landsat 8 OLI data. We used th...
In this study, we used the NDVI time-series datasets to investigate variations in the starting dates of growing season (SGS) in China's cropland from 1983 to 2002. To do so, a smoothing algorithm base...
Plant phenology is an integraph of global changes and a comprehensive indicator of landscape and entironment changes, and its responses to global environment changes have become a focus of the field ...
The NDVI (normalized difference vegetation index) has shown to be a good predictor of green vegetation density for several vegetation types. The Brazilian xeromorphic vegetation, called Cerrado, compr...
In the recent years study of vegetation variation has taken significance as a quintessential part of a bigger research agenda of climate change. This study has attempted to (a) Analyse the inter-annua...
Phenology is receiving increasing interest in the area of climate change and vegetation adaptation to climate. The phenology of a landscape can be used as a key parameter in land surface models and dy...
Phenolog y cont rols the seaso nal activ ities ofvege tation on land surfaces and thu s plays a fun damenta lrole in regu lating pho tosynthesi s and othe r ecosyste mprocesses. There fore, accuratel ...
NOAA-AVHRR bi-monthly NDVI data of 8×8 km for the period of 1982–2006 were used to analyze the trend of crop phenology matrices over Indian region. Time series principal component analysis of NDVI was...
The estimation of crop phenology is necessary to grasp the water use of irrigated farmlands. To estimate the crop phenology, time-series patterns of Leaf Area Index (LAI) are considered effective. A m...

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