NDVI imaging within space exploration plant growth modules – A case study from EDEN ISS Antarctica

Tucker, Rachel; Callaham, Jordan; Zeidler, Conrad; Paul, Anna‐Lisa; Ferl, Robert J.

doi:10.1016/j.lssr.2020.03.006

Cited by 12 publications

(5 citation statements)

References 15 publications

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“…Riihimäki et al (2017) notes that the highest NDVI values and biomass are usually found in areas with low altitudes and high levels of solar radiation on the slopes of the south and southwest exposure. Landsat data have been widely used to obtain NDVI because of their long archive and relatively high spatial resolution (Zhu and Liu, 2015;Tucker et al, 2020). 100.0 *Note: NDVI values: -1.0-0.1 -bare soil, roads; 0.1-0.3 -thin meadow vegetation; 0.3-0.5 -pine forest with a dense woodland; 0.5-0.6 -sparse pine forest dominated by broad-leaved species; 0.6-1.0 -broad-leaved forests Before the hurricane in 2007, more than 80% of the research area was occupied by light coniferous and light coniferous-broad-leaved forests, so the main contribution to the formation of NDVI values is made by the standing pine, whose crowns occupy a large area (Table 1, Figure 2).…”

Section: Resultsmentioning

confidence: 99%

Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall

Suleymanov¹,

Yakimov²,

Liebelt³

et al. 2021

Eurasian Journal of Soil Science (Ejss)

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Article InfoThe article presents the results of complex research (research was conducted in 2019) of the Botanical natural monument territory "Pine forest near Venetsiya village" (Russia). In 2007, part of the nature monument territory was destroyed by a hurricane, resulting in massive windfall. The purpose of the research was to study the processes of evolution of natural complexes (vegetation and soil cover) in the areas affected by the hurricane. Classification of vegetation was done according to the Braun-Blanquet and Kopečký and Hejný approaches. NDVI (Normalized Difference Vegetation Index) was used to estimate the amount of photosynthetically active biomass. Changes in morphological, physical and chemical properties were studied in the soil cover. The conducted research showed that the vegetation of the natural monument is represented by relict pine and broad-leaved pine forests. Under the pine canopy linden and birch are dominated. In the herb layer grow in various combinations of nemoral and boreal species. Soil cover is represented by Gray-humus (Umbric Luvisol). There is a strong transformation of vegetation in the areas damaged by the hurricane in 12 years (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019). There is an active formation of highly productive herbaceous vegetation and renewal of deciduous stands, which leads to an increase in biomass (confirmed by changes in NDVI). The terminal stage of the restoration succession will be the formation of secondary deciduous and mixed nemoral forests. The active development of grass vegetation leads to the formation of a sod horizon on the surface of the soil with a thickness of about 14 cm. There is also an increase in the content of organic carbon, alkaline-hydrolyzable nitrogen and mobile phosphorus, the value of electrical resistivity increases and acidification of the soil solution.

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Section: Resultsmentioning

confidence: 99%

Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall

Suleymanov¹,

Yakimov²,

Liebelt³

et al. 2021

Eurasian Journal of Soil Science (Ejss)

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“…As a measure of the relative plant health in terrestrial habitats and landscapes, the normalized difference vegetation index (NDVI) is widely used as an index to evaluate the exposure level of green space ( 28 ). The NDVI quantifies the density of green vegetation based on the difference between the surface reflectance of near-infrared (NIR) and visible red (VISR) measured by satellite ( 29 ).…”

Section: Methodsmentioning

confidence: 99%

Association between smoking and hypertension under different PM2.5 and green space exposure: A nationwide cross-sectional study

Chen

Geng

et al. 2022

Front. Public Health

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BackgroundSmoking has been widely reported to have a significant relationship with hypertension, but the past description of this relationship has not been uniform. In addition, there has been a lack of research to discuss the impact of environmental exposure on the relationship between smoking and hypertension. Therefore, this study estimates the association between smoking and hypertension in middle aged and elderly people in China under different PM2.5 (fine particulate matter) concentrations and the green space exposure conditions.MethodsIndividual sample data from the China Health and Retirement Longitudinal Study in 2018 and the long-term average exposure concentration of fine particles and green space exposure for all participants were used with a multilevel binary logistic mixed effects model. Adjustments were made for sociodemographic characteristics and other health behaviors including drinking, physical activity, and social activity. The normalized difference vegetation index (NDVI) and PM2.5 concentration stratification were assigned with the median of the population exposure concentration as the dividing line, and the dual environmental factor stratification was assigned in combination with the two types of environmental exposure. The analysis was also stratified using age groups.ResultsA total of 10,600 participants over the age of 45 were included in the study. The effects of smoking on hypertension were diverse under different environmental exposure conditions. There was a significant relationship between smoking behavior and hypertension in the Low-NDVI group, and the effect value of this relationship was significantly different from that in the High-NDVI group. Furthermore, for respondents exposed to low green spaces and high PM2.5 environments at the same time (Low-NDVI/High-PM2.5 group), their smoking behavior may lead to an increase in the risk of hypertension. In addition, the risk of hypertension caused by smoking in the middle-aged (45–64) was significant under low green space exposure, but the effect difference between the different age groups was not significant.ConclusionsThe relationship between smoking and hypertension was different under different environmental exposure conditions. Exposure to low green spaces may strengthen the association between smoking and hypertension risk. When participants were exposed to both low green spaces and high PM2.5 concentrations, the risk of hypertension caused by smoking was significantly higher than that of those who were exposed to high green spaces and low PM2.5 concentrations.

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“…The principle of the NDVI algorithm is based on green plants reflecting near-infrared radiation and absorbing radiation in visible light, so a combination of bands from the NDVI algorithm can show the greenness of plants as a measure of relative plant health [11,12]. Thus, a high NDVI value indicates that an area has healthy and dense plants [23].…”

Section: Detecting Rice Plant Health By Ndvi Valuesmentioning

confidence: 99%

“…In knowing the health condition of rice plants through satellite imagery, the NDVI algorithm or the Normalised Difference Vegetation Index can be used [3], [9], [10]. The principle of the NDVI algorithm is based on green plants that reflect near-infrared radiation and absorb radiation in visible light, so we get a combination of bands from the NDVI algorithm that can show the greenness of plants as a measure of relative plant health [11], [12]. The density of a plant can affect the high or low value of NDVI, where IOP Publishing doi:10.1088/1755-1315/1111/1/012023 2 a low value indicates that plants are rare or not dense and vice versa.…”

Section: Introductionmentioning

confidence: 99%

“…According to data from the Central Statistics Agency for 2020, Parakansalak District has an area of 694 ha of rice fields and 1,047 ha of non-rice fields, which makes the sub-district included in the total land area in the Sukabumi Regency. According to Tucker [12], one of the essential aspects of advancing rice production is effective plant health monitoring. By doing this, farmers can reduce the potential harm to plants, such as pests or plant diseases, to optimize rice production.…”

Section: Introductionmentioning

confidence: 99%

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Rice Plant Health Spatial Study with Sentinel and SPOT Imagery in Parakansalak District

Octavia

Supriatna

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The Rice plant is a food plant cultivated through lowland, one of the world community’s basic needs and source of livelihood for most Indonesian people. However, the amount of rice production in Indonesia is still relatively low compared to the consumption rate of the people, so it needs to get more attention in supporting the realization of food self-sufficiency. One of the efforts to achieve this is made by monitoring, such as health conditions. The purpose of this research is to identify the health condition of rice plants in Parakansalak District, Sukabumi Regency, West Java, by applying high-resolution satellite imagery, Sentinel-2 and SPOT-6 processed with NDVI (Normalized Difference Vegetation Index) algorithm to the monitoring plants health. The result concluded that rice plants have good health with an area of 197 hectares or 52 % of the existing paddy field area by Sentinel-2, and the distribution of NDVI values in higher resolution images SPOT-6 has a similar spatial pattern. This percentage shows that the distribution of NDVI values is relatively high and indicates that the plants have a high density.

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NDVI imaging within space exploration plant growth modules – A case study from EDEN ISS Antarctica

Cited by 12 publications

References 15 publications

Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall

Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall

Association between smoking and hypertension under different PM2.5 and green space exposure: A nationwide cross-sectional study

Rice Plant Health Spatial Study with Sentinel and SPOT Imagery in Parakansalak District

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