Drought Detection by Application of Remote Sensing Technology and Vegetation Phenology

Uttaruk, Yannawut; Laosuwan, Teerawong

doi:10.12911/22998993/76326

Cited by 23 publications

(18 citation statements)

References 18 publications

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“…The Situ Gintung tragedy on March 27, 2009 is as an example Extreme changes in rainfall intensity from high to low over a long duration of time lead to drought. Water scarcity impacts all aspects of life and the economy [7,8]. Floods, landslides and drought are related with the characteristics of local rainfall as a consequence of climate change.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Local Rainfall Characteristics as a Mitigation Strategy for Hydrometeorology Disaster in Rain-fed Reservoirs Area

Kartono¹,

Purwanto²,

Suripin³

2020

Adv. sci. technol. eng. syst. j.

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The Gembong reservoir in Pati Regency, Java, Indonesia is a rain-fed reservoir, which experiences a depletion of it carrying capacity. The characteristic of local rainfall is one of the important factors in assessing the potential of hydrometeorology disasters in its area. Sedimentation in watersheds and reservoirs has covered water sources, so local rainfall determines the dynamics of water availability. This research is needed in the development of mitigation strategies. This article contains an analysis of the characteristics of local rainfall, and forecasting based on local daily rainfall data. This data was obtained from the rainfall gauge station in the Gembong reservoir area in 2007-2019. Variation coefficient, anomaly index, rainfall concentration index, and Mann-Kendall test were used to identify its characteristics. The time series model is used as modeling for forecasting. The results of empirical analysis show that rainfall volatility with irregular changes in high variability, meteorological drought in moderate category, rainfall trends follow fluctuating patterns and do not follow monotonic trend patterns but high concentrations of rainfall. Forecasting results with the Autoregressive Integrated Moving Average model for the wet months show an increasing in total rainfall by 17% in the next year. So, the potential for flooding is greater than the potential for drought. Based on the analysis of the local rainfall characteristics, then mitigation on flood is preferred.

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Section: Introductionmentioning

confidence: 99%

Analysis of Local Rainfall Characteristics as a Mitigation Strategy for Hydrometeorology Disaster in Rain-fed Reservoirs Area

Kartono¹,

Purwanto²,

Suripin³

2020

Adv. sci. technol. eng. syst. j.

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“…In this study, it was found from the study that in 2015, it was the time when drought was at most level equal to 91.54 or equal to 44975.23 km 2 . When the results of the study were used to compare with other similar researches such as research on "Application of remote sensing technology for drought monitoring in Mahasarakham Province, Thailand" by Laosuwan et al, (2016), research on "Drought Detection by Application of Remote Sensing Technology and Vegetation Phenology" by Uttaruk & Laosuwan, (2017), research on "Remote Sensing Based Drought Monitoring In The Middle-Part of Northeast Region of Thailand" by Rotjanakusol & Laosuwan, (2018), research on "Surface Moisture and Vegetation Cover Analysis for Drought Monitoring in the Southern Kruger National Park Using Sentinel-1, Sentinel-2, and Landsat-8" by Urban et al, (2018), it was found that 4 researches had the analysis results in the same direction with that of this study. The result of this study can be used as criteria in making reasonable decision on the Chi watershed area affected by drought, and also can be used to assess the drought area rapidly and reliably.…”

Section: Discussionmentioning

confidence: 99%

“…Drought is one of the top disasters of Thailand that cause considerable damage especially against the agriculture and cultivation due to the geography and weather that are risk factors of drought (Gomasathit rt al., 2015;Laosuwan et al, 2016). The Chi watershed, located at the northeastern region of Thailand, has been affected by drought for a very long period of time; this is considered as one major problem which is mainly caused by rainfall and other related factors including the absorption of soil, the water source on the ground, the water source under the ground, and the use of land (Uttaruk & Laosuwan, 2017). The drought is caused by an absence of rain during rainy season during June to July.…”

Section: Introductionmentioning

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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“…Agriculture is a major occupation in the northeast, so water shortages have had a severe impact on crop production. When agricultural crops are reduced, economic, social and environmental problems may arise, as well as health problems such as epidemics during drought [5].…”

Section: Introductionmentioning

confidence: 99%

Drought Analysis Using Satellite-Based Data and Spectral Index in Upper Northeastern Thailand

Uttaruk

Laosuwan

2019

Pol. J. Environ. Stud.

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Drought is one of the major natural disasters in Thailand, causing significant damage as it greatly affects farming, mostly in the northeastern region of Thailand. The objective of this study was to present a drought analysis using data from the Terra Modis satellite and spectral index in the upper northeastern study area, approximately 52,504.65 km 2. In operation the Standardized Vegetation Index (SVI) was analyzed, based on calculations from the normalized differences vegetation index (NDVI) values Terra Modis satellite to examine the distribution of plants during 2014-2016. The study found that the largest drought area was in the year 2014, representing 93.12% (or 48,892.33 km 2), followed by the year 2015 representing 87.02% (or 45,689.54 km 2), and the year 2016 representing 86.42% (or 45,374.51 km 2), respectively. The three-year SVI analysis results showed that the statistical correlation of rainfall during the same period is high. The results of this study indicated that drought analysis based on data from Terra Modis effectively identified the patterns of drought-prone areas.

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Drought Detection by Application of Remote Sensing Technology and Vegetation Phenology

Cited by 23 publications

References 18 publications

Analysis of Local Rainfall Characteristics as a Mitigation Strategy for Hydrometeorology Disaster in Rain-fed Reservoirs Area

Analysis of Local Rainfall Characteristics as a Mitigation Strategy for Hydrometeorology Disaster in Rain-fed Reservoirs Area

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

Drought Analysis Using Satellite-Based Data and Spectral Index in Upper Northeastern Thailand

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