High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques

Li, Shuang; Xu, Liang; Jing, Yinghong; Yin, Hang; Li, Xinghua; Guan, Xiaobin

doi:10.1016/j.jag.2021.102640

Cited by 99 publications

(73 citation statements)

References 124 publications

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“…The weight of the S-G filter depends on the polynomial least squares fit in the filter window [50]. The general equation of the S-G filter for NDVI time-series smoothing can be given as follows [51]:…”

Section: Materials 221 Modis Ndvi Datasetmentioning

confidence: 99%

Spatiotemporal Variations of Forest Vegetation Phenology and Its Response to Climate Change in Northeast China

et al. 2022

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Vegetation phenology is an important indicator of vegetation dynamics. The boreal forest ecosystem is the main part of terrestrial ecosystem in the Northern Hemisphere and plays an important role in global carbon balance. In this study, the dynamic threshold method combined with the ground-based phenology observation data was applied to extract the forest phenological parameters from MODIS NDVI time-series. Then, the spatiotemporal variation of forest phenology is discussed and the relationship between phenological change and climatic factors was concluded in the northeast China from 2011 to 2020. The results indicated that the distribution of the optimal extraction threshold has spatial heterogeneity, and the changing rate was 3% and 2% with 1° increase in latitude for SOS (the start of the growing season) and EOS (the end of the growing season). This research also notes that the SOS had an advanced trend at a rate of 0.29 d/a while the EOS was delayed by 0.47 d/a. This variation of phenology varied from different forest types. We also found that the preseason temperature played a major role in effecting the forest phenology. The temperature in winter of the previous year had a significant effect on SOS in current year. Temperature in autumn of the current year had a significant effect on EOS.

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Section: Materials 221 Modis Ndvi Datasetmentioning

confidence: 99%

Spatiotemporal Variations of Forest Vegetation Phenology and Its Response to Climate Change in Northeast China

et al. 2022

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“…The method used in our analysis for estimating the impact of urbanization upon vegetation cover with the NDVI (normalized difference vegetation index) indicator is exhibited in Figure 2. NDVI has been widely used in the literature for measuring vegetation coverage and ecological environment [19,22,23]. We first have an overview of definitions and measurements for urbanization rate, economic development, and NDVI nationwide.…”

Section: Conceptual Methodologymentioning

confidence: 99%

“…The NDVI indicator [19,[22][23][24] is particularly indicative for the greenness of biological communities. Computed with the formula NDVI = (ρ nir − ρ red )/(ρ nir + ρ red ), where ρ nir is reflectance in the NIR spectral band, and ρ N IR is the red waveband, it is a proxy to evaluate vegetation cover because of the different reflectance between healthy plants and land.…”

Section: Ndvi Indicatormentioning

confidence: 99%

Urbanization, Economic Development, and Ecological Environment: Evidence from Provincial Panel Data in China

Xiao-fu

Chang

2022

Sustainability

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The relationship between urbanization and the ecological environment is not conclusive in the literature. We used the provincial data from China from 1998 to 2019 to empirically study the relationship between the urbanization ratio and ecological environment which is proxied by the NDVI (normalized difference vegetation index) from the remote sensing data. The results indicate that the coefficient of the interaction between urbanization and per capita GDP is statistically significant and negative (−0.0946), while the coefficient of urbanization itself is very trivial and not statistically significant. It implies that urbanization could reduce ecological quality, particularly for the high-income regions. The higher the urbanization ratio is, the larger the negative impact is. It implies that urban expansion does reduce the ecological environment. The effect of economic development level on the NDVI can be divided into three stages: the one where the NDVI improves with the increase of GDP per capita (urbanization rate of less than 77.59%), the one where the value of the NDVI is not affected by the level of GDP per capita (urbanization rate equal to 77.59%), and the one where the NDVI decreases with the increase of GDP per capita (urbanization rate of more than 77.59%).

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“…To calculate the use and management factor (C), vegetation cover in the study areas was assessed by calculating the normalized difference vegetation index (NDVI), which is a sensitive indicator of the quantity and condition of vegetation (Li et al, 2021). For image collection, the UAV Phantom 4 Advanced drone, equipped with a global positioning system/GLONASS, 20-megapixel camera with a 1-inch sensor, and a mechanical shutter was used.…”

Section: Methodsmentioning

confidence: 99%

Estimating soil loss by laminar erosion using precision agriculture computational tools

Krug

Gomes

Souza

et al. 2022

Rev. bras. eng. agríc. ambient.

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The study aimed to identify and evaluate the spatial variability in laminar erosion in areas using precision agriculture tools. Soil data from three properties in the western region of Paraná state, Brazil, were used: one in the municipality of Céu Azul (area A) and two in Serranópolis do Iguaçu (areas B and C). To identify discrepant data (outliers), analysis of the dispersion of quartiles was performed using a box-plot graph. Data normality was verified using the Kolmogorov-Smirnov test. A spatial analysis was performed using AgDataBox-Map software. The parameters of the universal soil loss equation were estimated and used with map algebra to produce a model to identify areas susceptible to erosion. Area A (soil loss estimate = 0-200 t ha-1 per year) presented greater susceptibility to erosion than areas B and C (soil loss estimate = 0-150 t ha-1 per year); however, all areas had a low susceptibility to erosion.

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High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques

Cited by 99 publications

References 124 publications

Spatiotemporal Variations of Forest Vegetation Phenology and Its Response to Climate Change in Northeast China

Spatiotemporal Variations of Forest Vegetation Phenology and Its Response to Climate Change in Northeast China

Urbanization, Economic Development, and Ecological Environment: Evidence from Provincial Panel Data in China

Estimating soil loss by laminar erosion using precision agriculture computational tools

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