Monitoring 2015 drought in West Java using Normalized Difference Water Index (NDWI)

Amalo, Luisa Febrina; Ma’rufah, Ummu; Permatasari, Prita Ayu

doi:10.1088/1755-1315/149/1/012007

Cited by 15 publications

(7 citation statements)

References 11 publications

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“…One of them is used to monitor changes in leaf water content, using near-infrared (NIR) and shortwave-infrared (SWIR) wavelengths. The NDWI equation is mathematically described in equation (2). NDWI (2) where :…”

Section: 4mentioning

confidence: 99%

“…Most natural disasters that occur in Indonesia are disasters related to climate change such as floods, droughts and forest fires. Data that contains information on potential areas of drought which slightly plays a role as one of the factors that hamper in solving drought problems, so drought area data is needed considering drought is a problem that has a serious impact on all sectors of life [2].…”

Section: Introductionmentioning

confidence: 99%

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Implementation Drought Area Identifier Application Of East Bali Based On Remote Sensing

Adnyana

Putra

Purnawan

2020

JIM

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Drought is a natural disaster whose frequency is quite high and occurs almost every year. According to the radarbali.jawapos.com page on June 15, 2019, rice fields in Karangasem are threatened by drought. 2000 hectares of agricultural land threatened with drought or did not get irrigation supply because during the dry season the water source used to irrigate the land was drastically reduced and even partly dried up. From the observations of the UPTD of the Horticultural Agricultural Plant Protection Agency (BPTPH) of the Bali Provincial Agriculture Office, until June 2019 there was damage to rice fields due to drought where observations were made since the start of the planting season in May. Drought area information is used to map and calculate the area of drought areas, so that areas with drought potential can be identified. One way to get drought area data is by remote sensing technology. Identification of potential drought areas is the basic idea for the formation of drought identification applications in East Bali. The remote sensing application uses the NDDI (Normalized Difference Drought Index) method. NDDI is the result of calculation of the Normalized Difference Vegetation Index (NDVI) which is an index of vegetation parameters and Normalized Difference Water Index (NDWI) which is the value of wetness of vegetation. The images used in this study are Landsat 8 imagery with OLI (Onboard Operational Land Imager) sensor and TIRS (Thermal Infrared Sensor) sensor. The result of the application of drought area identification is the visualization of drought area and the extent of drought area based on the category of very dry, dry, mild dry, normal and non-classification using hectare units.

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Section: 4mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation Drought Area Identifier Application Of East Bali Based On Remote Sensing

Adnyana

Putra

Purnawan

2020

JIM

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“…In the same area at the age of 92 HST has an NDWI value of 0.1998 and is in a high drought condition. All of these categorizations are based on the classification system proposed by Amalo et al (2018) [7]. Based on the data above, it can be seen that the lower the NDWI value of an object, the drier it is.…”

Section: Resultsmentioning

confidence: 99%

Detection of paddy rice drought stress with sentinel image vegetation index and the relation with productivity in Allatengae Village, Bantimurung District, Maros Regency

Marfuah,

Useng

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Maros Regency is one of the rice storage areas in South Sulawesi. According to the Central Bureau of Statistics for Maros Regency in 2020, the harvested area of rice decreased by 10.11% or 4,849.55 Ha compared to 2018 and rice production decreased by 16.96% or 37,719.68 tons. This causes the productivity of rice also decreased. One of the factors causing the decline in rice production in Maros Regency is drought. Sentinel 2 imagery is one of the remote sensing data that can be used to detect rice drought using the drought index method. This study aims to detect dryness of paddy rice in Allatengae Village using Sentinel-2A satellite imagery based on NDDI index analysis and determine the relationship between drought index and rice productivity. The method used is the Normalized Difference Drought Index (NDDI) method to determine the dryness level of paddy fields based on NDVI and NDWI parameters and uses regression and correlation analysis methods. From the results of this study, dry rice in Allatengae Village was detected in September and October 2021. In September (42 HST), the average NDDI value was 0.0254 and was in a mild drought condition while in October (62 HST), the average NDDI value is 0.2425 and is in moderate class drought conditions. From the results of the analysis of the relationship between the drought index and rice productivity, there is a strong (negative) correlation, where the higher the NDDI index value, the lower the rice productivity value.

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“…Wetland classification (Ahmed, Akter, Marandi, Schüth, & Environment, 2021) Analysis of surface water resources (Bhangale, More, Shaikh, Patil, & More, 2020) Water body extraction (Kaplan & Avdan, 2017) Assessing wetland habitat vulnerability (Pal & Paul, 2020) Land Use Land Cover (LULC) mapping (Chatziantoniou, Petropoulos, & Psomiadis, 2017) Wetland change mapping (Gemechu, Rui, & Lu, 2022) Monitoring drought (Amalo, Ma'rufah, & Permatasari, 2018)…”

Section: Ndwimentioning

confidence: 99%

Efficacy of the unmodified and modified water indices for saline wetland ecosystems

Singh

Sharma

Naik

2023

Preprint

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Wetlands are world’s most significant, and diversified ecosystems, including an exclusive combination of water and land in both marine, and inland settings. Inland saline wetlands predominantly occur in arid and semi-arid regions of the world. Our study area the Sambhar Salt Lake is a halite-rich basin, which is India’s largest inland saline lake and situated in a semi-arid region, Eastern part of Thar Desert. Index methods are predominantly used for area change finding, and inspection purpose which split the water from its background on the basis of a threshold value. In this study we used 6 indices for surface area change detection of the lake from December 2018 and December 2021, for which we used Sentinel–2B data. We also analysed the physical parameters of water along with nitrate, and phosphate. The results showed decrease in concentration of EC, TDS, and salinity in 2018 to 2021 except pH. This may be due to rise in water level of the lake. Extracted surface water area increased in December 2021 compared to December 2018 by ~ 57 km2. This change in extracted surface water area reflects the human’s influence on lake. The NDWI index shows maximum area change ~ 13.35%. while overall best result was shown by AWEIsh and SWI indices. We found AWEIsh based algorithms achieved high accuracy 93.33% and kappa coefficient 0.9134 in compared to others. To conserve this highly deteriorating precious ecosystem there is need of proper monitoring and strict rules & regulation for its resources use.

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Monitoring 2015 drought in West Java using Normalized Difference Water Index (NDWI)

Cited by 15 publications

References 11 publications

Implementation Drought Area Identifier Application Of East Bali Based On Remote Sensing

Implementation Drought Area Identifier Application Of East Bali Based On Remote Sensing

Detection of paddy rice drought stress with sentinel image vegetation index and the relation with productivity in Allatengae Village, Bantimurung District, Maros Regency

Efficacy of the unmodified and modified water indices for saline wetland ecosystems

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