Application of Vegetation Condition Index and Standardized Vegetation Index for Assessment of Spring Drought in South Korea

Park, Jung-Sool; Kim, Kyungtak; Choi, Yun‐Seok

doi:10.1109/igarss.2008.4779463

Cited by 17 publications

(12 citation statements)

References 3 publications

(5 reference statements)

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“…Use of the monthly VCI is more appropriate in areas with a large land management signal (e.g., cropping) and hence is suitable for monitoring agricultural drought [ McVicar and Jupp , ]. A standardized form of NDVI, known as the Standardized Vegetation Index (SVI), is based on the z score of NDVI values [ Peters et al , ; Park et al , ]:

SVI = ({NDVI}_{ijk} - {\overset{NDVI}{false}}_{ij}) / σ_{ij}

. The SVI is computed for each pixel (i), week (j), and year (k).…”

Section: Progress In Remote Sensing Of Drought From An Ecological Permentioning

confidence: 99%

Remote sensing of drought: Progress, challenges and opportunities

AghaKouchak

Farahmand

Melton

et al. 2015

Reviews of Geophysics

679

400

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This review surveys current and emerging drought monitoring approaches using satellite remote sensing observations from climatological and ecosystem perspectives. We argue that satellite observations not currently used for operational drought monitoring, such as near-surface air relative humidity data from the Atmospheric Infrared Sounder mission, provide opportunities to improve early drought warning. Current and future satellite missions offer opportunities to develop composite and multi-indicator drought models. While there are immense opportunities, there are major challenges including data continuity, unquantified uncertainty, sensor changes, and community acceptability. One of the major limitations of many of the currently available satellite observations is their short length of record. A number of relevant satellite missions and sensors (e.g., the Gravity Recovery and Climate Experiment) provide only a decade of data, which may not be sufficient to study droughts from a climate perspective. However, they still provide valuable information about relevant hydrologic and ecological processes linked to this natural hazard. Therefore, there is a need for models and algorithms that combine multiple data sets and/or assimilate satellite observations into model simulations to generate long-term climate data records. Finally, the study identifies a major gap in indicators for describing drought impacts on the carbon and nitrogen cycle, which are fundamental to assessing drought impacts on ecosystems.

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SVI = ({NDVI}_{ijk} - {\overset{NDVI}{false}}_{ij}) / σ_{ij}

. The SVI is computed for each pixel (i), week (j), and year (k).…”

Section: Progress In Remote Sensing Of Drought From An Ecological Permentioning

confidence: 99%

Remote sensing of drought: Progress, challenges and opportunities

AghaKouchak

Farahmand

Melton

et al. 2015

Reviews of Geophysics

679

400

View full text Add to dashboard Cite

show abstract

“…These drought events had a critical impact on South Korea, which led to regional water shortages and influenced the use of water, including for agricultural and household activities [44]. In addition, natural ecosystems were damaged by the drought, and vegetation indices on the national scale were low [33,35,45]. However, in model results, the growth peaks were observed after 2000.…”

Section: Stem Volume C Stocks and Annual C Sequestrationmentioning

confidence: 99%

Quantifying Impacts of National-Scale Afforestation on Carbon Budgets in South Korea from 1961 to 2014

Kim

Kraxner

Son

et al. 2019

Forests

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Forests play an important role in regulating the carbon (C) cycle. The main objective of this study was to quantify the effects of South Korean national reforestation programs on carbon budgets. We estimated the changes in C stocks and annual C sequestration in the years 1961–2014 using Korea-specific models, a forest cover map (FCM), national forest inventory (NFI) data, and climate data. Furthermore, we examined the differences in C budgets between Cool forests (forests at elevations above 700 m) and forests in lower-altitude areas. Simulations including the effects of climate conditions on forest dynamics showed that the C stocks of the total forest area increased from 6.65 Tg C in 1961 to 476.21 Tg C in 2014. The model developed here showed a high degree of spatiotemporal reliability. The mean C stocks of the Cool forests and other forests increased from 4.03 and 0.43 Mg C ha−1, respectively, to 102.43 and 73.76 Mg C ha−1 at a rate of 1.82 and 1.36 Mg C ha−1 yr−1 during the same period. These results imply that, although the total Cool forest area of South Korea occupied only about 12.3% (772,788 ha) of the total forest area, the Cool forests play important roles in C balances and forest ecosystems in South Korea. Annual C sequestration totals are projected to decrease at a low rate in the near future because the overall growth rate of a mature forest decreases as the stand ages. Our results quantified forest C dynamics in South Korean forests before and after national reforestation programs. Furthermore, our results can help in development of regional and national forest management strategies to allow for sustainable development of society and to cope with climate change in South Korea.

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“…NDVI of between -1 to +1 would be obtained from the calculation. In the area covered by plants, the reflective value in NIR wavelength would be higher than that in Red wavelength, thus making the NDVI value to be positive, whereas the soil surface, the open area, and the construction area would have similar reflective value between these two wavelengths thus making NDVI value to approach near zero (Park et al, 2008;Rotjanakusol & Laosuwan, 2019). In the case of water surface, the reflective value in NIR wavelength would be lower than Red wavelength thus making NDVI value to be negative (Thavorntam et al, 2015).…”

Section: Vegetation Condition Index (Vci) Analysismentioning

confidence: 99%

An Investigation of Drought Around Chi Watershed During Ten-Year Period Using Terra/Modis Data

Rotjanakusol¹,

Laosuwan²

2019

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To examine the drought affected area is highly challenging because the drought is a natural disaster that starts and expands slowly. The severity of the drought is different when the rainfall is imbalance in the area. The objective of this study was to analyze the drought around Chi watershed with total area of 49,131.920 km 2 by using data from Terra/MODIS satellite during 10 years (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016). On part of method operation, the NDVI data was obtained from Terra/MODIS satellite, and VCI (Vegetation Condition Index) analysis was performed to examine the condition of plants which could identify the condition of drought in the area. According to the study, it was found that in 2015, it was the time when the drought affected area was at most which was equal to 91.54 percent, or 44975.23 km 2 . When the analysis results of these ten years were brought to find relationship with rainfall, it was found that the decision coefficient was R 2 = 0.913. It can be concluded from the results of this study that VCI could be used as indicator and could identify the drought in Chi watershed in terms of area and time reasonably.

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Application of Vegetation Condition Index and Standardized Vegetation Index for Assessment of Spring Drought in South Korea

Cited by 17 publications

References 3 publications

Remote sensing of drought: Progress, challenges and opportunities

Remote sensing of drought: Progress, challenges and opportunities

Quantifying Impacts of National-Scale Afforestation on Carbon Budgets in South Korea from 1961 to 2014

An Investigation of Drought Around Chi Watershed During Ten-Year Period Using Terra/Modis Data

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