A study of the long-term dynamics of soil moisture  in the Bac Binh district (Binh Thuan province, Vietnam)  using Landsat multispectral images

Hung, Trinh Le; Zablotskii, V. R.; Dao, K.H.

doi:10.21046/2070-7401-2018-15-7-89-101

Cited by 3 publications

(3 citation statements)

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“…Nevertheless, it is situated in a dry and arid region, making it particularly vulnerable to drought [20]. Although the severity of the drought varied over different years, it has caused damage to people's life, people livelihood, and local economic development [21]. Determination of drought using the satellite image data can rely on various indices such as the Normalized Difference Vegetation Index (NDVI), the Soil Adjusted Vegetation Index (SAVI), the Temperature Vegetation Dryness Index (TVDI), and the Vegetation Condition Index (VCI) [22].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, TVDI is considered an effective index for detecting droughts in different regions, and its results can be easily interpreted and mapped [27]. As a result, this index has often been used in monitoring drought [21,26,[28][29][30][31][32]. Nonetheless, most of these studies used old-generation Landsat satellite images to monitor drought [21,26,31], or used different satellite image data in assessing drought [28][29][30]32].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, this index has often been used in monitoring drought [21,26,[28][29][30][31][32]. Nonetheless, most of these studies used old-generation Landsat satellite images to monitor drought [21,26,31], or used different satellite image data in assessing drought [28][29][30]32]. Whereas the old-generation Landsat imagery data was often delayed for a long time before being provided to users, which hindered timely and efficient analysis [33].…”

Section: Introductionmentioning

confidence: 99%

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Building drought classification map with landsat 8 image data in Bac Binh district, Binh Thuan province

Dieu Chinh,

Hang,

Quynh

et al. 2023

STCE

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Vietnam experiences increasing droughts throughout the dry season due to climate change, global warming,and human-caused activities like urbanization and deforestation. Drought hazard significantly impacts socioeconomic, agriculture, and the environment; it directly threatens human lives, livelihoods, food security, and environmental degradation. It is essential to have a drought assessment map to assist in developing and implementing strategies to combat drought. Space remote sensing technology development has enabled efficient and cost-effective monitoring and evaluation of droughts on a large scale, surpassing the capabilities of ground-based observations. This research uses remote sensing technology to monitor and assess the severity of the drought in the Bac Binh district, Binh Thuan province. We analyzed the Temperature Vegetation Dryness Index (TVDI) using multi-temporal Landsat 8 satellite data for the severe drought events in 2014, 2017, and 2020. The results indicate a significant increase in the percentage of land area affected by drought, from 50.74% in 2014 to 66.23% in 2020. The obtained maps provide valuable visual data to relevant agencies, assisting with planning preventative measures and mitigating future drought risks.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Building drought classification map with landsat 8 image data in Bac Binh district, Binh Thuan province

Dieu Chinh,

Hang,

Quynh

et al. 2023

STCE

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Using Multispectral Satellite Images to Estimate Alteration in the Water Surface Area of Lake Dankia During the 2020--2021 Dry Season, Lam Dong Province, Vietnam

Hung

Zablotskiy

Zenkov³

et al. 2023

HoBMSTU.SIE

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Vietnam in recent years, especially in the Central Highlands and the South Central region, is experiencing severe droughts due to global climate change, depletion of the surface water resources and intensive agricultural production. The study used four Sentinel 2 MSI satellite images received during the 2020--2021 dry seasons to evaluate alteration in the water surface area of Lake Dankia in the Lam Dong Province of the Vietnam Central Highlands. Optical green channel (channel 3) and shortwave infrared channel (channel 11) of the Sentinel 2 images were used to calculate the modified normalized difference water index MNDWI and to decipher the land--water boundary by the thresholding method. The obtained results demonstrated that the Lake Dankia area at the dry season end (March 18. 2021) decreased by 86.46 hectares compared to November 18. 2020 (dry season start), which was 31.7 % of the original lake area. This study shows that the Sentinel 2 MSI satellite images could be effectively used to monitor alterations in the surface water area and provide valuable input information for models to assess the drought impact on water resources in the areas

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Application of geoinformation technologies and remote sensing of the Earth to assess the impact of aridity of the territory on the water quality of small rivers

Kosarev

Ivanov

Mikerov

et al. 2021

Hygiene and Sanitation

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Introduction. The relevance of the work for preventive medicine is due to the need to assess the impact of climate aridity on the hygienic safety of drinking water. The aim of the work is to determine the influence of the degree of aridity of the arid regions of Russia on the hygienic safety of drinking water prepared from surface water sources. Materials and methods. The objects of the study are the water of small rivers located in the arid regions of the Saratov Region and the Republic of Bashkortostan. The content of pollutants in water was determined by atomic absorption spectrometry, spectrophotometry, and potentiometry. Satellite images for the implementation of remote sensing of the Earth are obtained in the geoinformation catalogue earthexplorer.usgs.gov. Image processing and mapping of the studied territories was carried out using the QGIS program, version 3.12.3. Results. Using the method of remote sensing of the Earth, it was revealed for the first time that the low-arid regions of the Republic of Bashkortostan correspond to positive NDMI values. In contrast, the areas of the Saratov region are characterized by negative NDMI values. For the first time, a statistically significant correlation has been established between the hygienic hazard caused by polluting chemicals in water, typical for arid territories and the change in the aridity index NDMI. Biogenic nitrogen, iron, and manganese make the most significant contribution to the formation of the non-carcinogenic danger of small river waters in the conditions of climate warming. Conclusion. We have shown for the first time using the remote sensing method of the Earth that low-arid regions of the Republic of Bashkortostan correspond to low positive values of the aridity index NDMI than for the areas of the Saratov region characterized by negative NDMI values. For the first time, a correlation was established between an increase in the degree of aridity of arid areas of Russia and an increase in non-carcinogenic health risk due to the use of drinking water prepared from surface water sources.

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A study of the long-term dynamics of soil moisture in the Bac Binh district (Binh Thuan province, Vietnam) using Landsat multispectral images

Cited by 3 publications

References 0 publications

Building drought classification map with landsat 8 image data in Bac Binh district, Binh Thuan province

Building drought classification map with landsat 8 image data in Bac Binh district, Binh Thuan province

Using Multispectral Satellite Images to Estimate Alteration in the Water Surface Area of Lake Dankia During the 2020--2021 Dry Season, Lam Dong Province, Vietnam

Application of geoinformation technologies and remote sensing of the Earth to assess the impact of aridity of the territory on the water quality of small rivers

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