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Journal articles on the topic 'NDDI'

Author: Grafiati

Published: 17 September 2021

Last updated: 30 July 2025

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1

Paniagua, M. T., J. Villalba, and M. Pasten. "SPATIAL-TEMPORAL DISTRIBUTION OF DROUGHT IN THE WESTERN REGION OF PARAGUAY (2005–2017)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 6, 2020): 327–30. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-327-2020.

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Abstract. The Western Region of Paraguay is naturally dry which makes it vulnerable to almost permanent drought events. Hence, low cost drought monitoring is necessary. Therefore, an index derived from satellite image information was used for this purpose. The Normalized Difference Drought Index (NDDI) was used with the objective of studying the characteristics (temporal and spatial distribution) of drought in the Western Region of Paraguay from years 2005 to 2017 and relate drought point values of NDDI to the land use cover of the study area. Terra satellite’s Moderate Resolution Imaging Spec

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Tống, Thị Huyền Ái, Phúc Hải Nguyễn, Hữu Dụng Lê, Hồng Hiền Võ та Thị Làn Phạm. "Theo dõi hạn hán trong mùa khô bằng chỉ số hạn hán NDDI trên công cụ Google earth engine, thí nghiệm tại tỉnh Đắk Nông". Tạp chí Khoa học Đo đạc và Bản đồ, № 46 (15 грудня 2020): 49–56. http://dx.doi.org/10.54491/jgac.2020.46.52.

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Trong nghiên cứu này, nhóm tác giả đã phân tích mối quan hệ giữa các chỉ số vật lý NDVI, NDWI và NDDI với mức độ hạn hán của tỉnh Đăk Nông. Dữ liệu ảnh Landsat trong mùa khô từ năm 2005-2019 được thu thập, tiền xử lý và tính toán các chỉ số trên công cụ Google Earth Engine một cách nhanh chóng. Các kết quả sau khi phân tích chỉ ra rằng, NDWI và NDDI có độ nhạy với hạn hán tốt hơn so với chỉ số NDVI. Trong đó, giá trị NDDI>0,8 và NDWI

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Marfuah, G., and D. Useng. "Detection of paddy rice drought stress with sentinel image vegetation index and the relation with productivity in Allatengae Village, Bantimurung District, Maros Regency." IOP Conference Series: Earth and Environmental Science 1230, no. 1 (2023): 012147. http://dx.doi.org/10.1088/1755-1315/1230/1/012147.

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Abstract 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 i

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Mehta, Shubham, Alok Tyagi, Richa Tripathi, and Mahesh Kumar. "Study of inter-relationship of depression, seizure frequency and quality of life of people with epilepsy in India." Mental Illness 6, no. 1 (2014): 1–4. http://dx.doi.org/10.1108/mi.2014.5169.

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Epilepsy is a chronic neurological disorder that can have profound physical, social and psychological consequences. We aimed to assess the clinical predictors of quality of life of people with epilepsy. We recruited 31 patients suffering from epilepsy in this cross-sectional study. Their clinical profile was recorded. Quality Of Life in Epilepsy (QOLIE-31) was used to assess quality of life of our patients. Depression was screened by Neurological Disorders Depression Inventory in Epilepsy (NDDI-E). Among all the clinical variables, only seizure frequency significantly correlated with seizure w

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H. Yaqub, I.Younes, K. Mahmood, and S. Mahmood. "A CASE STUDY OF DUST STORM EVENTS IN PAKISTAN USING NORMALIZED DUST DETECTION INDEX." Pakistan Journal of Science 75, no. 1 (2023): 78–87. http://dx.doi.org/10.57041/pjs.v75i1.825.

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Currently dust storms are among the most prevalent global environmental issues.They are the early warning indicators for desertification and climate change. The study intends toanalyse dust event in Pakistan using normalized dust detection index (NDDI), brightness temperature(BT) and MODIS data of aerosol optical depth (AOD), deep blue angstrom exponent (AE), aerosolindex (AI) and HYSPLIT mass trajectory methods. It also highlighted the relationship between NDDI,BT and AOD. The threshold value of NDDI was 0.19 - 0.36 and BT ≤ 310.5 K. Data from CALIPSO,NCEP/NCAR reanalysis datasets were used t

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R., Kumaraperumal, Pazhanivelan S., Ragunath K.P., Balaji Kannan, Prajesh P.J., and Mugilan G.R. "Agricultural drought monitoring in Tamil Nadu in India using Satellite-based multi vegetation indices." Journal of Applied and Natural Science 13, no. 2 (2021): 414–23. http://dx.doi.org/10.31018/jans.v13i2.2585.

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Drought being an insidious hazard, is considered to have one of the most complex phenomenons. The proposed study identifies remote sensing-based indices that could act as a proxy indicator in monitoring agricultural drought over Tamil Nadu's region India. The satellite data products were downloaded from 2000 to 2013 from MODIS, GLDAS – NOAH, and TRMM. The intensity of agricultural drought was studied using indices viz., NDVI, NDWI, NMDI, and NDDI. The satellite-derived spectral indices include raw, scaled, and combined indices. Comparing satellite-derived indices with in-situ rainfall data and

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Trịnh Minh Ngọc та Nguyễn Quang Hưng. "ỨNG DỤNG NỀN TẢNG GOOGLE EARTH ENGINE XÂY DỰNG BẢN ĐỒ PHÂN VÙNG HẠN HÁN CHO TỈNH BÌNH THUẬN". Tạp chí Khoa học Biến đổi khí hậu, № 24 (28 грудня 2022): 22–31. http://dx.doi.org/10.55659/2525-2496/24.76437.

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Nghiên cứu sử dụng nền tảng xử lý dựa trên đám mây Google Earth Engine (GEE) để xây dựng bản đồ phân vùng mức độ hạn hán tỉnh Bình Thuận từ 2014 đến 2020, dựa trên tính toán chỉ số khác biệt hạn hán (NDDI - Normalized Difference Drought Index). Kết quả tính toán cho thấy, khô hạn thiếu nước trong mùa khô diễn ra ở nhiều nơi trong tỉnh; thường xuyên xảy ra tại các huyện Tuy Phong, Bắc Bình, TP. Phan Thiết, Hàm Thuận Nam, Hàm Tân và Thị xã La Gi nơi có chỉ số NDDI cao 4 - 6, mức độ hạn có xu hướng tăng đặc biệt nghiêm trọng vào năm 2016. Ứng dụng nền tảng Google Earth Engine được xây dựng nhằm t

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Budikayanti, Astri, Izati Rahmi, Lilir Amalini, et al. "Screening of Major Depression Disorder in Patients With Epilepsy in Indonesian National Referral Hospital." Neurology: Clinical Practice 13, no. 3 (2023): e200152. http://dx.doi.org/10.1212/cpj.0000000000200152.

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Background and ObjectivesMajor depressive disorder (MDD) is a common psychiatric disorder in patients with epilepsy (PWE). The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is one of the MDD screening tools used in PWE. This study aims to determine the accuracy of the valid and reliable NDDI-E Indonesian version as an MDD screening tool in PWE and investigate the prevalence and risk factors for the development of MDD in PWE.MethodsA diagnostic cross-sectional study was conducted at Cipto Mangunkusumo National Referral Hospital, Indonesia. Patients were PWE aged 18 years or

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Pramestika, Mutiara Indah. "EXPLORING SPATIAL AND TEMPORAL VARIATIONS OF AGRICULTURAL DROUGHT IN RORAYA WATERSHED USING NORMALIZED DIFFERENCE DROUGHT INDEX (NDDI)." JURNAL GEOGRAFI Geografi dan Pengajarannya 22, no. 2 (2024): 123–34. https://doi.org/10.26740/jggp.v22n2.p123-134.

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Agricultural drought is a critical concern for food security, particularly in regions with significant climatic variability such as the Roraya Watershed in Southeast Sulawesi. This watershed is vulnerable due to its reliance on rain-fed agriculture and distinctive karst topography. This research aims to describe and map drought-prone areas within the Roraya Watershed using the Normalized Difference Drought Index (NDDI) from 2019 to 2023 comprehensively. The findings indicate a consistent presence of severe drought conditions across the watershed, which led to prolonged dry spells and decreased

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Rawat, Kishan Singh, Sudhir Kumar Singh, and Vinod Kumar Tripathi. "Assessment of silica content in groundwater of Peninsular Indian region using statistical techniques." Indonesian Journal of Geography 52, no. 3 (2020): 374. http://dx.doi.org/10.22146/ijg.55959.

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The groundwater resources from open dug wells are the ultimate and inevitable drinking water source in Chennai municipality. These are of shallow depth of 8 to 10m with a static water depth range of 30 to 75 m. This study's objective was to assess silica (in the form of Silicon Dioxide, SiO2) in groundwater and to establish their baseline concentration. Twelve wells were monitored in the study area, in some parameters, namely: Chloride (Cl-), Total Dissolved Solids (TDS), pH, Electrical Conductivity (EC), and SiO2. We examined the existing relationship between silica and other measured water q

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Dobri, Radu-Vlad, Lucian Sfîcă, Vlad-Alexandru Amihăesei, Liviu Apostol, and Simona Țîmpu. "Drought Extent and Severity on Arable Lands in Romania Derived from Normalized Difference Drought Index (2001–2020)." Remote Sensing 13, no. 8 (2021): 1478. http://dx.doi.org/10.3390/rs13081478.

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The aim of this study was to evaluate the frequency and severity of drought over the arable lands of Romania using the Normalized Difference Drought Index (NDDI). This index was obtained from the Moderate Resolution Imaging Spectro-Radiometer (MODIS) sensor of the Terra satellite. The interval between March and September was investigated to study the drought occurrence from the early stage of crop growth to its harvest time. The study covered a long period (2001–2020), hence it is able to provide a sound climatological image of crop vegetation conditions. Corine Land Cover 2018 (CLC) was used

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Albarakat and Lakshmi. "Monitoring Dust Storms in Iraq Using Satellite Data." Sensors 19, no. 17 (2019): 3687. http://dx.doi.org/10.3390/s19173687.

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Dust storms can suspend large quantities of sand and cause haze in the boundary layer over local and regional scales. Iraq is one of the countries that is often impacted to a large degree by the occurrences of dust storms. The time between June 29 to July 8, 2009 is considered one of the worst dust storm periods of all times and many Iraqis suffered medical problems as a result. We used data from the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS Surface Reflectance Daily L2G Global 1km and 500m data were utilized to calculate the Normalized Difference Dust Index (NDDI). The MYD0

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Yang, Lu, Lu She, Yahui Che, Xingwei He, Chen Yang, and Zixian Feng. "Analysis of Dust Detection Algorithms Based on FY-4A Satellite Data." Applied Sciences 13, no. 3 (2023): 1365. http://dx.doi.org/10.3390/app13031365.

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Dust detection is essential for environmental protection, climate change assessment, and human health issues. Based on the Fengyun-4A (FY-4A)/Advance Geostationary Radiation Imager (AGRI) images, this paper aimed to examine the performances of two classic dust detection algorithms (i.e., the brightness temperature difference (BTD) and normalized difference dust index (NDDI) thresholding algorithms) as well as two dust products (i.e., the infrared differential dust index (IDDI) and Dust Score products (DST) developed by the China Meteorological Administration). Results show that a threshold bel

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Patil, Pritam P., Megha P. Jagtap, Narendra Khatri, Hakka Madan, Aditya Abhiram Vadduri, and Tarun Patodia. "Exploration and advancement of NDDI leveraging NDVI and NDWI in Indian semi-arid regions: A remote sensing-based study." Case Studies in Chemical and Environmental Engineering 9 (June 2024): 100573. http://dx.doi.org/10.1016/j.cscee.2023.100573.

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Cahyono, Bowo Eko, Rahmadin Rahagian, and Agung Thahjo Nugroho. "Analisis Produktivitas Padi berdasarkan Indeks Kekeringan (NDWI dan NDDI) Lahan Sawah menggunakan Data Citra Sentinel-2A di Kecamatan Ambulu." INDONESIAN JOURNAL OF APPLIED PHYSICS 13, no. 1 (2023): 88. http://dx.doi.org/10.13057/ijap.v13i1.70682.

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<span>Rice is almost a staple food source for the world's population. The State of Indonesia contributes the largest amount of rice productivity, especially in the province of East Java. Ambulu District is part of the province of East Java, which has experienced a decline in rice productivity. The decline in rice productivity is thought to be the result of agricultural land drought. The purpose of this study was to determine the correlation value of the drought index (NDWI and NDDI) with rice productivity. This research was conducted using remote sensing methods using the Sentinel-2A sat

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Tsabithah, Kayla Azka Dhiya, Grahani Switamy Br Manik, Muhammad 'Anil 'Aziz, and Robert Kurniawan. "Perbandingan Classification Advanced Methods Dalam Klasifikasi Indeks Kekeringan di Provinsi Nusa Tenggara Timur." PROSIDING SEMINAR NASIONAL SAINS DATA 4, no. 1 (2024): 249–57. https://doi.org/10.33005/senada.v4i1.186.

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Provinsi Nusa Tenggara Timur tergolong sebagai wilayah kering dengan hanya empat bulan basah dan delapan bulan kering. Penelitian ini bertujuan untuk mengetahui gambaran tingkat kekeringan pada level kecamatan melalui indikator Normalized Difference Drought Index (NDDI), serta membandingkan ketiga Classification Advanced Methods, yakni K-Nearest Neighbor (KNN), Support Vector Machine (SVM), dan Random Forest (RF), untuk menentukan metode klasifikasi terbaik dalam mengidentifikasi setiap tingkat kekeringan dengan menggunakan berbagai indikator kekeringan berbasis satelit. Hasil penelitian ini m

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Gouveia, C. M., A. Bastos, R. M. Trigo, and C. C. DaCamara. "Drought impacts on vegetation in the pre- and post-fire events over Iberian Peninsula." Natural Hazards and Earth System Sciences 12, no. 10 (2012): 3123–37. http://dx.doi.org/10.5194/nhess-12-3123-2012.

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Abstract. The present work aims to study the combined effect of drought and large wildfires in the Iberian Peninsula relying on remotely sensed data of vegetation dynamics and leaf moisture content, in particular monthly NDVI, NDWI and NDDI time series from 1999–2009, derived from VEGETATION dataset. The impact of the exceptional 2004/2005 drought on vegetation was assessed for vegetation recovering from the extraordinary fire season of 2003 and on the conditions that contributed to the onsetting of the fire season of 2005. Drought severity was estimated by the cumulative negative effect on ph

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Von Oertzen, J., A. J. Mitchell, J. Rampling, H. Cock, and N. Agrawal⁎. "Validation of NDDI-E in the UK." Epilepsy & Behavior 24, no. 2 (2012): 187. http://dx.doi.org/10.1016/j.yebeh.2011.04.026.

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KHAMPEERA, Anan, Chao YONGCHALERMCHAI, and Kuaanan TECHATO. "Drought Monitoring using Drought Indices and GIS Techniques in Kuan Kreng Peat Swamp, Southern Thailand." Walailak Journal of Science and Technology (WJST) 15, no. 5 (2017): 357–70. http://dx.doi.org/10.48048/wjst.2018.2723.

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This research aims to study the spatial characteristics of drought throughout the year in Kuan Kreng Peat Swamp (KKPS) by using various drought indices. Meteorological drought indices were analysed by using data of precipitation during the period of the study 1984 - 2013. The standardized precipitation index (SPI) was calculated on the basis of precipitation deficit. Vegetation-based drought indices were also derived from the analysis of Landsat satellite images based on the normalized difference drought index (NDDI). In addition, hydrological drought indices were studied based on the water ta

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Paredes, Paula, Dora Maglione, Marisa Sandoval, Julio Soto, Oscar Bonfili, and Gervasio Humano. "Relación entre índices de sequía usando datos meteorológicos y satelitales, en la estepa magallánica seca (Patagonia)." Revista de Investigación en Modelos Financieros 1 (November 27, 2024): 45–62. https://doi.org/10.56503/rimf/vol.1(2022)p.45-62.

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The effects of drought have an impact on the productive sector in different regions, affecting vegetation, water availability and the consequences that this causes, so it is of interest to study its behavior in order to be able to carry out monitoring and early warnings. There are different proposed indices in the literature, some of which are obtained from meteorological data, and others from satellite images. The objective of the present work is to relate drought indices obtained with data from meteorological stations (Anomaly of Precipitation - AP, the Standardized Precipitation Index -SPI,

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Muhammad Abdul Rehman Muneeb and Dr. Kashif Imdad. "AC Test of Power Frequency with NDDI Method." Physical Education, Health and Social Sciences 3, no. 1 (2025): 42–49. https://doi.org/10.63163/jpehss.v3i1.203.

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Cable is used while transmitting power in an electrical system. High tension cable plays a vital role in electrical power systems. This paper puts forward an AC test of power frequency withstand voltage test of the insulation of the high tension cable. Pin to surface type electrode is used while performing the test. Power frequency withstand voltage test is performed at 11KV & 27KV voltages without the time and with time. Readings are taken at four-electrode distance at 11KV and 27KV voltage. The newton divided interpolation method is used to estimate breakdown voltage at unknown distances

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Viellard, Marine, Nathalie Villeneuve, Mathieu Milh, Anne Lépine, Jean-Arthur Micoulaud-Franchi, and Aileen McGonigal. "Screening for depression in youth with epilepsy: Psychometric analysis of NDDI-E-Y and NDDI-E in a French population." Epilepsy & Behavior 98 (September 2019): 19–26. http://dx.doi.org/10.1016/j.yebeh.2019.06.012.

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Perdana, Agung Mahadi Putra, Angga Yudha Pratama, Adam Irwansyah Fauzi, Tri Kies Welly, and Rian Nurtyawan. "Analisis Spasio-temporal Kekeringan Pada Lahan Sawah di Lampung Selatan Berbasis Pengolahan Normalized Difference Drought Index Pada Citra Satelit Landsat 8." Jurnal Geosains dan Remote Sensing 3, no. 1 (2022): 1–9. http://dx.doi.org/10.23960/jgrs.2022.v3i1.65.

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Kekeringan pada lahan pertanian merupakan kondisi berkurangnya kandungan air dalam tanah sehingga tidak mampu memenuhi kebutuhan tanaman tertentu dalam periode tertentu. Pada November 2019 Kabupaten Lampung Selatan mengalami kekeringan pertanian yang menyebabkan terjadinya kegagalan panen lahan sawah seluas 1300 Ha. Citra Landsat 8 merupakan salah satu data penginderaan jauh sistem optis yang dapat digunakan untuk mengidentifikasi kekeringan padi menggunakan metode indeks kekeringan. Indeks kekeringan Normalized Difference Drought Index (NDDI) adalah salah satu metode yang digunakan untuk meng

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Angearu, Claudiu-Valeriu, Anisoara Irimescu, Denis Mihailescu, and Ana Virsta. "Evaluation of Droughts and Fires in the Dobrogea Region, Using Modis Satellite Data." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (2018): 336–45. http://dx.doi.org/10.2478/alife-2018-0050.

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Abstract Drought is one of the most significant extreme event facing the world, affecting the society and the environment. Located in SE Romania, Dobrogea Region is characterized by a temperate climate with strong continental influences, being affected by drought episodes which cause significant damages and economic costs over extensive agricultural areas. Risk reduction, continuous vegetation monitoring, and management implementation are facilitated by complementary use of vegetation indices and biophysical parameters derived from satellite products (gridded data) within-situ data (point data

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Artikanur, S. D., Widiatmaka, Y. Setiawan, and Marimin. "Normalized Difference Drought Index (NDDI) computation for mapping drought severity in Bojonegoro Regency, East Java, Indonesia." IOP Conference Series: Earth and Environmental Science 1109, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1755-1315/1109/1/012027.

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Abstract Drought is a natural disaster that causes difficulties meeting household, agriculture, and industrial water needs. Drought often occurs in various regions in Indonesia, one of which is the Bojonegoro Regency. Bojonegoro Regency has the highest number of villages experiencing drought in East Java Province in 2019. This study aims to map the drought severity in the Bojonegoro Regency based on the results of the Normalized Difference Drought Index (NDDI) computation. The method used to obtain NDDI was by subtracting the Normalized Difference Vegetation Index (NDVI) by the Normalized Diff

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Pamungkas, Guntur Bagus. "Analisis Kekeringan Berbasis Remote Sensing dengan Metode Normalized Difference Drought Index (NDDI) secara Multi-Years." REKSABUMI 2, no. 2 (2024): 139–50. http://dx.doi.org/10.33830/reksabumi.v2i2.6494.2023.

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Global drought conditions pose a serious worldwide problem, exacerbated by climate change, deforestation, and excessive water extraction. At the local level, South Tangerang City is grappling with drought challenges due to an extended dry season. Drought mitigation efforts entail the distribution of clean water and public education. The use of innovative remote sensing technology becomes crucial for drought monitoring and management. This study aims to integrate NDVI, NDWI, and NDDI modification methods with multi-year Landsat data to analyse drought in South Tangerang City. The study site foc

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Giangennaro, Coppola, Pastorino Grazia, and Felicia Operto Francesca. "Monitoring and Managing Depressive Symptoms in Adolescents with Epilepsy." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 11, No 1 Sup2 (2020): 12–16. https://doi.org/10.18662/brain/11.1Sup2/33.

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Depressive disorders are the most frequent psychiatric disturbances associated with epilepsy in adolescents and include a broad and heterogeneous spectrum of conditions that share hallmark features and symptoms such as sadness, irritability, decreased motivation or interests, fatigue, withdrawal, hopelessness, anhedonia, changes in appetite and weight, and sleep disturbances that are persistent and pervasive most days for at least 2 weeks. Using generic self-report depression surveys and current diagnostic codes, clinical and surveillance studies have revealed prevalence rates of 20—25%

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Tedrus, Glória Maria Almeida Souza, Lorena Murta dos Santos, and Fernanda Meneghetti. "Older adults with epilepsy: memory complaints and objective neuropsychological performance." Arquivos de Neuro-Psiquiatria 79, no. 2 (2021): 133–38. http://dx.doi.org/10.1590/0004-282x-anp-2020-0209.

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ABSTRACT Introduction: People with epilepsy frequently complain of poor memory. Objective: To assess the occurrence of memory complaints in older adults with epilepsy (OAE) and whether it is associated with clinical variables, objective cognitive performance, and quality of life (QoL). Methods: The Memory Complaint Questionnaire (MAC-Q) was related to objective cognitive performance, the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), the Quality of Life in Epilepsy Inventory (QOLIE-31), and the clinical characteristics of 83 OAE. Results: OAE showed worse cognitive performa

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Mujiyo, Mujiyo, Ramadhina Nurdianti, Komariah Komariah, and Sutarno Sutarno. "Agricultural Land Dryness Distribution Using the Normalized Difference Drought Index (NDDI) Algorithm on Landsat 8 Imagery in Eromoko, Indonesia." Environment and Natural Resources Journal 21, no. 2 (2023): 1–13. http://dx.doi.org/10.32526/ennrj/21/202200157.

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The study area, Eromoko, has agricultural land covering 79.76% of the area, which experiences drought every year, causing a decrease in crop yields. Information on agricultural land dryness is needed to reduce the impact of dryness conditions on the agricultural sector. The effect of drought can be minimized using the transformation of the Normalized Difference Drought Index (NDDI) algorithm on Landsat 8 Imagery because it is considered capable of being used for land drought analysis that is accurate and efficient in time and cost. This study created a model for estimating soil moisture with a

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Al-Khudhairy, Aws A., Auday H. Shaban, and Yaseen K. Al-Timimi. "Modis Satellite Data Evaluation for Detecting the Dust Storm Using Remote Sensing Techniques Over Iraq." IOP Conference Series: Earth and Environmental Science 1223, no. 1 (2023): 012024. http://dx.doi.org/10.1088/1755-1315/1223/1/012024.

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Abstract The phenomena of Dust storm take place in barren and dry regions all over the world. It may cause by intense ground winds which excite the dust and sand from soft, arid land surfaces resulting it to rise up in the air. These phenomena may cause harmful influences upon health, climate, infrastructure, and transportation. GIS and remote sensing have played a key role in studying dust detection. This study was conducted in Iraq with the objective of validating dust detection. These techniques have been used to derive dust indices using Normalized Difference Dust Index (NDDI) and Middle E

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Herawati, A., M. Mujiyo, B. D. E. P. Nugroho, et al. "Drought potential index using Normalized Difference Drought Index (NDDI) method based on Geographical Information System (GIS) in Slogohimo, Wonogiri Indonesia." IOP Conference Series: Earth and Environmental Science 1314, no. 1 (2024): 012040. http://dx.doi.org/10.1088/1755-1315/1314/1/012040.

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Abstract Climate change is an impact caused by global warming. The phenomenon due to climate change is El Nino, which affects a long dry season. Central Java is an area heavily affected by drought caused by El Nino, one of which is Wonogiri Regency, which has the potential to cause crop failures, forest fires, and decreased water availability, which can be detrimental. Drought potential analysis was carried out to estimate the distribution of the drought index in Slogohimo District, Wonogiri Regency. The method used is the Normalized Difference Drought Index (NDDI), which combines vegetation d

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Xu, Jingyi, Yao Tang, Jiahui Xu, et al. "Evaluation of Vegetation Indexes and Green-Up Date Extraction Methods on the Tibetan Plateau." Remote Sensing 14, no. 13 (2022): 3160. http://dx.doi.org/10.3390/rs14133160.

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The vegetation green-up date (GUD) of the Tibetan Plateau (TP) is highly sensitive to climate change. Accurate estimation of GUD is essential for understanding the dynamics and stability of terrestrial ecosystems and their interactions with climate. The GUD is usually determined from a time-series of vegetation indices (VIs). The adoption of different VIs and GUD extraction methods can lead to different GUDs. However, our knowledge of the uncertainty in these GUDs on TP is still limited. In this study, we evaluated the performance of different VIs and GUD extraction methods on TP from 2003 to

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Albugami, Sarah, Steven Palmer, Jeroen Meersmans, and Toby Waine. "Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula." Remote Sensing 10, no. 12 (2018): 1993. http://dx.doi.org/10.3390/rs10121993.

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Sand and dust storm events (SDEs), which result from strong surface winds in arid and semi-arid areas, exhibiting loose dry soil surfaces are detrimental to human health, agricultural land, infrastructure, and transport. The accurate detection of near-surface dust is crucial for quantifying the spatial and temporal occurrence of SDEs globally. The Arabian Peninsula is an important source region for global dust due to the presence of extensive deserts. This paper evaluates the suitability of five different MODIS-based methods for detecting airborne dust over the Arabian Peninsula: (a) Normalize

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Campaña-Olaya, Jalmer, and Eber Gines Tafur. "Multi-temporal analysis of NDDI, comparison with the NDWI to determine the drought in the Tumbes National Reserve, Peru, 1986 - 2019." Manglar 18, no. 4 (2021): 389–95. http://dx.doi.org/10.17268/manglar.2021.050.

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Wahby, Sandra, Vikram Karnik, Anita Brobbey, Samuel Wiebe, Tolulope Sajobi, and Colin Bruce Josephson. "Cannabis use is both independently associated with and mediates worse psychosocial health in patients with epilepsy." Journal of Neurology, Neurosurgery & Psychiatry 90, no. 8 (2019): 945–51. http://dx.doi.org/10.1136/jnnp-2018-319780.

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ObjectiveTo examine whether cannabis use is associated with or mediates psychosocial health in people with epilepsy.MethodsConsecutive adult epilepsy patients visiting the Calgary Comprehensive Epilepsy Programme clinic were administered validated patient-reported outcome measures (PROMs) including the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Quality of Life in Epilepsy (QOLIE-10-P), EuroQOL five dimensions five level scale (EQ-5D-5L), Global Assessment of Severity of Epilepsy Scale, Global Assessment of Disability Associated with Seizures Scale and the Treatment Sati

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Ergene, E. M., F. Bektaş Balçık, and F. Balik Şanlı. "TRENDS ANALYSIS OF AGRICULTURAL DROUGHT IN CENTRAL ANATOLIAN BASIN, TURKEY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W9-2024 (March 8, 2024): 141–48. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w9-2024-141-2024.

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Abstract. Drought is a natural disaster that can have devastating economic, environmental, and social impacts on a global, national, and regional scale. Remote sensing technology is the most powerful tool to determine of drought categories and analyse drought severity, vulnerability and its trends. Because data that is temporal, quick, wide-area, and repeating can be obtained via remote sensing technologies. The calculation of drought indices with the use of remote sensing technology is crucial for assessing the severity of the drought and its evolution over time. In this study, the Central An

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McGonigal, Aileen, Jean-Arthur Micoulaud-Franchi, Nathalie Villeneuve, Anne Lepine, Marine Viellard, and Mathieu Milh. "Screening for depression in youth with epilepsy: The NDDI-E-Y." Epilepsia 59, no. 10 (2018): 1999–2000. http://dx.doi.org/10.1111/epi.14545.

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Bhendekar, ER Motiram T., Megha P. Jagtap, Madan S. Pendke, and ER Shashikant Mehetre. "Impact assessment of drought characteristics using NDVI, NDWI and NDDI parameters under treated micro watershed area using remote sensing and GIS application for Pre and Post watershed development Period." International Journal of Research in Agronomy 8, no. 7 (2025): 1057–64. https://doi.org/10.33545/2618060x.2025.v8.i7n.3341.

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Filho, Júlio Cezar Cotrim Moreira, and João Rodrigues Tavares Junior. "Avaliação da precisão temática de composições de NDBI, NDVI, NDWI." Revista Brasileira de Geomática 4, no. 1 (2016): 3. http://dx.doi.org/10.3895/rbgeo.v4n1.5462.

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Este artigo trata de experimentos usando composições de índices físicos NDVI (Normalized Difference Vegetation Index), NDWI (Normalized Difference Water Index), NDBI (Normalized Difference Built-Up Index), para avaliar a precisão temática do classificador Máxima Verossimilhança (MAXVER) usando exatidão global, índice kappa e teste Z. A área de estudo foi o entorno da Lagoa Olho D’Água localizada em Jaboatão dos Guararapes-PE. Foram usadas duas cenas TM LANDSAT-5, órbita-ponto 214-066, de 17/03/20111 e 29/09/2011, do DGI-INPE (Divisão de Geração de Imagens do Instituto Nacional de Pesquisas Esp

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de Oliveira, Guilherme Nogueira M., Arthur Kummer, João Vinícius Salgado, et al. "Brazilian version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)." Epilepsy & Behavior 19, no. 3 (2010): 328–31. http://dx.doi.org/10.1016/j.yebeh.2010.07.013.

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Utomo, Agus Suprihatin, M. Pramono Hadi, and Emilya Nurjani. "Analisis spasial temporal zona rawan kekeringan lahan pertanian berbasis remote sensing." Jurnal Teknosains 11, no. 2 (2022): 112. http://dx.doi.org/10.22146/teknosains.67932.

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A mapping model of drought-prone zones for agricultural land based on Geographic Information Systems is needed to determine the distribution of drought vulnerability levels that occured in Bantul Regency, DI Yogyakarta. This study aims to determine the estimated area of agricultural land drought based on the interpretation of aerial images. This study compares the performance of the drought potential index of agricultural land using the Normalized Difference Drought Index (NDDI) algorithm based on remote sensing technology/ Landsat 8 satellite imagery to identify the estimated zones indicated

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Burapapol, Kansuma, and Ryota Nagasawa. "Mapping Soil Moisture as an Indicator of Wildfire Risk Using Landsat 8 Images in Sri Lanna National Park, Northern Thailand." Journal of Agricultural Science 8, no. 10 (2016): 107. http://dx.doi.org/10.5539/jas.v8n10p107.

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<p>Severely dry climate plays an important role in the occurrence of wildfires in Thailand. Soil water deficits increase dry conditions, resulting in more intense and longer burning wildfires. The temperature vegetation dryness index (TVDI) and the normalized difference drought index (NDDI) were used to estimate soil moisture during the dry season to explore its use for wildfire risk assessment. The results reveal that the normalized difference wet index (NDWI) and land surface temperature (LST) can be used for TVDI calculation. Scatter plots of both NDWI/LST and the normalized differenc

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Ristić, Aleksandar J., Jelena Pjevalica, Goran Trajković, et al. "Validation of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) Serbian version." Epilepsy & Behavior 57 (April 2016): 1–4. http://dx.doi.org/10.1016/j.yebeh.2016.01.017.

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Wagner, Janelle L., Tanja S. Kellermann, Martina Mueller, and Gigi Smith. "Response to “Screening for depression in youth with epilepsy: The NDDI-E-Y”." Epilepsia 59, no. 10 (2018): 2000–2001. http://dx.doi.org/10.1111/epi.14558.

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Gulácsi, András, and Ferenc Kovács. "Aszályvizsgálat lehetősége MODIS műholdképekből számított spektrális indexekkel Magyarországon." Tájökológiai Lapok 13, no. 2 (2015): 235–48. http://dx.doi.org/10.56617/tl.3677.

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Az aszály hatása a növényzet biofizikai állapotváltozásának jellemzésével, a műholdas távérzé- kelési adatok alapján számítható spektrális vegetáció- és vízindexekkel és az ezekből képezhető aszályindexek- kel számszerűsíthető. A differenciált vegetációindex (DVI), a normalizált differenciált vegetációindex (NDVI) és a továbbfejlesztett vegetációindex (EVI), valamint a differenciált vízindex (DWI) és a normalizált differenciált vízindex (NDWI) értékeket alkalmaztuk, hogy a belőlük számolható differenciált- (DDI) és a normalizált diffe- renciált (NDDI) aszályindex segítségével összehasonlító el

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Cao, Ruyin, Yan Feng, Xilong Liu, Miaogen Shen, and Ji Zhou. "Uncertainty of Vegetation Green-Up Date Estimated from Vegetation Indices Due to Snowmelt at Northern Middle and High Latitudes." Remote Sensing 12, no. 1 (2020): 190. http://dx.doi.org/10.3390/rs12010190.

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Vegetation green-up date (GUD), an important phenological characteristic, is usually estimated from time-series of satellite-based normalized difference vegetation index (NDVI) data at regional and global scales. However, GUD estimates in seasonally snow-covered areas suffer from the effect of spring snowmelt on the NDVI signal, hampering our realistic understanding of phenological responses to climate change. Recently, two snow-free vegetation indices were developed for GUD detection: the normalized difference phenology index (NDPI) and normalized difference greenness index (NDGI). Both were

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Zinchuk, Mikhail, Georgii Kustov, Evgenii Pashnin, et al. "Validation of the Russian version of neurological disorders depression inventory for epilepsy (NDDI-E)." Epilepsy & Behavior 113 (December 2020): 107549. http://dx.doi.org/10.1016/j.yebeh.2020.107549.

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Rashid, Haroon, Jatinder Katyal, Manjari Tripathi, Mamta Sood, and Yogendra K. Gupta. "Validation of the Indian version of Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)." Epilepsy & Behavior 95 (June 2019): 75–78. http://dx.doi.org/10.1016/j.yebeh.2019.03.048.

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Cheng, Youg-Sin, Jiay-Rong Lu, and Hsin-Fu Yeh. "Multi-Index Drought Analysis in Choushui River Alluvial Fan, Taiwan." Environments 11, no. 11 (2024): 233. http://dx.doi.org/10.3390/environments11110233.

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In recent years, increasing drought events due to climate change have led to water scarcity issues in Taiwan, severely impacting the economy and ecosystems. Understanding drought is crucial. This study used Landsat 8 satellite imagery, rainfall, and temperature data to calculate four drought indices, including the Temperature Vegetation Dryness Index (TVDI), improved Temperature Vegetation Dryness Index (iTVDI), Normalized Difference Drought Index (NDDI), and Standardized Precipitation Index (SPI), to investigate spatiotemporal drought variations in the Choushui River Alluvial Fan over the pas

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Ghazal, Nawal K. "Monitoring dust storm using Normalized difference dust index (NDDI) and brightness temperature variation in Simi arid areas over Iraq." Iraqi Journal of Physics (IJP) 18, no. 45 (2020): 68–75. http://dx.doi.org/10.30723/ijp.v18i45.517.

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Dust storms are a natural phenomenon occurring in most areas of Iraq. In recent years, the study of this phenomenon has become important because of the danger caused by increasing desertification at the expense of the green cover as well as its impact on human health. In this study is important to devote the remote sensing of dust storms and its detection.Through this research, the dust storms can be detected in semi-arid areas, which are difficult to distinguish between these storms and desert areas. For the distinction between the dust storm pixels in the image with those that do not contain

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