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A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
L Zeng, BD Wardlow, D ** crop phenology in near real-time using satellite remote sensing: Challenges and opportunities
Crop phenology is critical for agricultural management, crop yield estimation, and
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
NASA's Black Marble nighttime lights product suite
NASA's Black Marble nighttime lights product suite (VNP46) is available at 500 m resolution
since January 2012 with data from the Visible Infrared Imaging Radiometer Suite (VIIRS) …
since January 2012 with data from the Visible Infrared Imaging Radiometer Suite (VIIRS) …
[HTML][HTML] Status of phenological research using Sentinel-2 data: A review
Remote sensing of plant phenology as an indicator of climate change and for map** land
cover has received significant scientific interest in the past two decades. The advancing of …
cover has received significant scientific interest in the past two decades. The advancing of …
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
Vegetation phenology is considered an important biological indicator in understanding the
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …
Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China
Autumn phenology plays a critical role in regulating climate–biosphere interactions.
However, the climatic drivers of autumn phenology remain unclear. In this study, we applied …
However, the climatic drivers of autumn phenology remain unclear. In this study, we applied …
Large‐scale variations in the vegetation growing season and annual cycle of atmospheric CO2 at high northern latitudes from 1950 to 2011
We combine satellite and ground observations during 1950–2011 to study the long‐term
links between multiple climate (air temperature and cryospheric dynamics) and vegetation …
links between multiple climate (air temperature and cryospheric dynamics) and vegetation …
An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data
In this study we compared the Savitzky–Golay, asymmetric Gaussian, double-logistic,
Whittaker smoother, and discrete Fourier transformation smoothing algorithms (noise …
Whittaker smoother, and discrete Fourier transformation smoothing algorithms (noise …