scholarly journals Segmentation of Agricultural Parcels in Satellite Images Based on Historical Vegetation Index Data

2021 ◽  
Author(s):  
Maria Pavlova ◽  
Valerii Timofeev ◽  
Dmitry Bocharov ◽  
Irina Kunina ◽  
Anna Smagina ◽  
...  
Keyword(s):  
Satellite Images ◽  
Vegetation Index ◽  
Connected Components ◽  
Agricultural Field ◽  
Index Data ◽  
Boundary Recognition ◽  
History Of Vegetation ◽  
Index Approach ◽  
History Of

This paper considered the issue of agricultural fields boundary recognition in satellite images. A novel algorithm based on the aggregated history of vegetation index data obtained via open satellite data, Sentinel-2, was proposed. The proposed algorithm included several basic steps, namely the detection of parcel regions on aggregated index data; the calculation of aggregated edge maps; the segmentation of parcel regions using the edges obtained; the computation of connected components and their contour extraction. In this paper, we showed that the use of aggregated vegetation index data and boundary maps allow for much more accurate agricultural field segmentation compared to the instant vegetation index approach. The quality of segmentation within regions of Russia and the Ukraine was estimated. The dataset that was used and Python implementation of the proposed algorithm were provided.

scholarly journals Crop loss identification at field parcel scale using satellite remote sensing and machine learning

2021 ◽  
Author(s):  
Santosh Hiremath ◽  
Samantha Wittke ◽  
Taru Palosuo ◽  
Jere Kaivosoja ◽  
Fulu Tao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Satellite Images ◽  
Vegetation Index ◽  
Reference Data ◽  
Insurance Companies ◽  
Crop Loss ◽  
Agricultural Field ◽  
Normalised Difference Vegetation Index ◽  
The Hard Problem

Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to define crop loss. This study investigates the feasibility of using satellite images to train machine learning (ML) models to classify agricultural field parcels into those with and without crop loss. The reference data for this study was provided by Finnish Food Authority (FFA) containing crop loss information of approximately 1.4 million field parcels in Finland covering about 3.5 million ha from 2000 to 2015. This reference data was combined with Normalised Difference Vegetation Index (NDVI) derived from Landsat 7 images, in which more than 80\% of the possible data are missing. Despite the hard problem with extremely noisy data, among the four ML models we tested, random forest (with mean imputation and missing value indicators) achieved the average AUC (area under the ROC curve) of  [[EQUATION]] over all 16 years with the range [0.602, 0.795] in identifying new crop-loss fields based on reference fields of the same year. To our knowledge, this is one of the first large scale benchmark study of using machine learning for crop loss classification at field parcel scale. The classification setting and trained models have numerous potential applications, for example, allowing government agencies or insurance companies to verify crop-loss claims by farmers and realise efficient agricultural monitoring.

scholarly journals Crop loss identification at field parcel scale using satellite remote sensing and machine learning

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0251952
Author(s):  
Santosh Hiremath ◽  
Samantha Wittke ◽  
Taru Palosuo ◽  
Jere Kaivosoja ◽  
Fulu Tao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Satellite Images ◽  
Vegetation Index ◽  
Reference Data ◽  
Insurance Companies ◽  
Crop Loss ◽  
Agricultural Field ◽  
Normalised Difference Vegetation Index ◽  
The Hard Problem

Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to define crop loss. This study investigates the feasibility of using satellite images to train machine learning (ML) models to classify agricultural field parcels into those with and without crop loss. The reference data for this study was provided by Finnish Food Authority (FFA) containing crop loss information of approximately 1.4 million field parcels in Finland covering about 3.5 million ha from 2000 to 2015. This reference data was combined with Normalised Difference Vegetation Index (NDVI) derived from Landsat 7 images, in which more than 80% of the possible data are missing. Despite the hard problem with extremely noisy data, among the four ML models we tested, random forest (with mean imputation and missing value indicators) achieved the average AUC (area under the ROC curve) of 0.688±0.059 over all 16 years with the range [0.602, 0.795] in identifying new crop-loss fields based on reference fields of the same year. To our knowledge, this is one of the first large scale benchmark study of using machine learning for crop loss classification at field parcel scale. The classification setting and trained models have numerous potential applications, for example, allowing government agencies or insurance companies to verify crop-loss claims by farmers and realise efficient agricultural monitoring.

Probiotics in gastroenterology – from a different angle

2013 ◽  
Vol 154 (8) ◽  
pp. 294-304 ◽  
Author(s):  
György Miklós Buzás
Keyword(s):  
Side Effects ◽  
Beneficial Effect ◽  
Analytical Data ◽  
Well Being ◽  
Gastrointestinal Diseases ◽  
Convincing Evidence ◽  
Probiotic Treatment ◽  
History Of ◽  
Irritable Bowel

After a short overview of the history of probiotics, the author presents the development of human intestinal microflora based on the newest genetic data and the microbiological features of main probiotics. The indications of probiotic administration have been defined and extended in recent years. The author reviews significant results of probiotic treatment in some gastrointestinal diseases based on meta-analytical data. Probiotics are useful in preventing and treating diarrhoea caused by antibiotics and Clostridium difficile caused diarrhoea. In the treatment of Helicobacter pylori infection, preparations containing certain Lactobacillus,Bifidobacterium strains or Saccaromyces boulardii could enhance by 5–10% the rate of successful eradication and reduce the incidence and severity of the side effects. Some symptoms of irritable bowel syndrome and thus the quality of life can be improved by probiotics. Their beneficial effect in ulcerative colitis was proven, while in Crohn’s disease has not yet been defined. The use of probiotics is not included in guidelines, with the exception of the Maastricht IV/Florence consensus. For each disease it is advisable to use probiotics containing strains only with proven beneficial effect. The efficiency of preparations containing mixed strains has not yet been properly investigated. The author reviews the rare but potentially serious side effects of probiotics. In Hungary, there are many probiotic preparations available which can be purchased in pharmacies without prescription: their use is more empirical than evidence-based. The European Food Safety Authority has recently rejected claims for probiotics to be classed as medicines given the lack of convincing evidence on the effects of probiotics on human health and well-being. Clearly, further research is needed to collect evidence which could be incorporated into the international guidelines. Orv. Hetil., 2013, 154, 294–304.

EXPLORING HEALTHCARE ARCHITECTURE THROUGH THE MEDIUM OF FILM: Motives and Techniques

2014 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Stephen Verderber
Keyword(s):  
Real World ◽  
The Real ◽  
Healthcare Settings ◽  
Interdisciplinary Field ◽  
Body Of Knowledge ◽  
Behavior Setting ◽  
Physical Environments ◽  
Scant Attention ◽  
History Of

The interdisciplinary field of person-environment relations has, from its origins, addressed the transactional relationship between human behavior and the built environment. This body of knowledge has been based upon qualitative and quantitative assessment of phenomena in the “real world.” This knowledge base has been instrumental in advancing the quality of real, physical environments globally at various scales of inquiry and with myriad user/client constituencies. By contrast, scant attention has been devoted to using simulation as a means to examine and represent person-environment transactions and how what is learned can be applied. The present discussion posits that press-competency theory, with related aspects drawn from functionalist-evolutionary theory, can together function to help us learn of how the medium of film can yield further insights to person-environment (P-E) transactions in the real world. Sampling, combined with extemporary behavior setting analysis, provide the basis for this analysis of healthcare settings as expressed throughout the history of cinema. This method can be of significant aid in examining P-E transactions across diverse historical periods, building types and places, healthcare and otherwise, otherwise logistically, geographically, or temporally unattainable in real time and space.

РАССКАЗЫ В.ШУКШИНА И ПРОБЛЕМЫ ПЕРЕВОДА ИХ НА КЫРГЫЗСКИЙ ЯЗЫК

2020 ◽  
pp. 77-81
Author(s):  
Джээнбүбү Бегеева
Keyword(s):  
Key Words ◽  
Russian Literature ◽  
Main Task ◽  
Stylistic Variation ◽  
Psychological Feature ◽  
Translation Analysis ◽  
History Of ◽  
The Creation ◽  
Problems Of Translation

Аннотация. В статье анализируется качество переводов рассказов В.Шукшина, осуществленных в середине 70-х годов С. Наматбаевым. Переводоведческий анализ вывил многочисленные стилевые расхождения между оригиналом и переводом. При переводе одного из лучших рассказов Шукшина «Чудик» искажения стиля не передали психологические тонкости рассказа. При переводе рассказа «Дядя Ермолай» философский аспект рассказа выпал, так как переводчик исказил жанровую специфику. Перевод рассказа «Два письма» оказался более качественным по сравнению с предыдущими. Переводчик рассказа «Два письма» сумел приблизиться к оригиналу, расшифровать его основную тональность, воспроизвести атмосферу напряженных поисков истины героем рассказа Николаем Иванычем. Этот перевод оказался более качественно выполненным по сравнению с предыдущим рассказом «Дядя Ермолай». Причину переводческого успеха можно объяснить, прежде всего, доступностью содержания рассказа, да и сам герой не столь сложная и глубокая личность, как повествователь в рассказе о дяде Ермолае. В целом, переводы С.Наматбаева являются своеобраз- ным этапом в переводческом деле. В настоящее время необходимо более полное и глубокое восприятие творчества В.Шукшина и создания новых адекватных переводов. Ключевые слова: качество переводов, стилевые расхождения, психологические тонкости, философский аспект, этапом. Аннотация. Макалада В.Шукшиндин аңгемелеринин кыргыз тилине которуудагы сапаты каралат, котормолор 1970-жылдары котормочу С.Наматбаев аркылуу жаралган. Котормонун сапатына талдоо жүргүзгөндө көпчүлүк каталар табылган, алардын эң олуттуусу стилдердин айырмасы, негизги чыгарма менен котормонун ортосунда. Мисалы, “Чудик” деген аңгеменин психологиялык мүнөздөмөсү жоголуп кеткен. “Ермолай байке” деген аңгемеде жанрдын туура эмес берилишинен жазуучунун негизги ою жоголуп кеткен. “Эки кат” деген аңгеме беркилерге караганда сапаттуу которулган. Котормочу " Эки кат" деген аңгемени оригиналга жакындатып которгон. Башкы каарман Николай Иванычтын изденүүлөрүн, ойлорун, чындыкты табууга аракеттерин Шукшинден кем эмес окуучуларга жеткирген. Котормочунун жетишкендиги аңгеменин түшүнүктүү мазмуну менен түшүндүрсө болот, жана Николай Ивановичтин жөнөкөйлүгү менен. С.Наматбаевдын котормолору каталарына карабастан котормочулук иште алдыга жылуу болгон. Бирок, азыркы заманда сапаттуу котормо жаратууда мезгил келди. Түйүндүү сөздөр: которуудагы сапаты, стилдердин айырмасы, психологиялык мүнөздөмөсү, негизги ою жоголуп. Annotation. The quality of translation of the Shukshins stories is analyzed in the Middle 70- years. By S.Namatbaev. The translation analysis had idenh hed numerous style discrepancies between the original and the translation. The psychological feature of the compasihion were not be hansfered by the translation one the bestand famous story by. V.Shukshin due to distorhion of the style. By the translation of the story “The uncle Ermolai” had full a phisichal aspect of the story, because the translator had distorted the genre specifics. The translation of the stories “Two letters” was wade more qualitative comparated with another stories. Generally, the Namatbaevs translation are a sui generis stage in the translatiobs. We need currently more total and profound perception of the creation by V.Shukshin. The create of the new adeavate translation is the main task. The head of the theory and history of Russian literature department. V. Shukshin’s stories and problems of translation them into Kyrgyz language. This article is analysed the quality of translation of V. Shukshin’s stories, which were written in 70 th with S. Namatbaev. Translation analyse deduced many stylistic variations between translated version and original. There is a misrepresentation, was not transmitted psychological subtleties of the story in translation of one of the best V. Shuk- shin’s story “Wierdo”. Metaphysical dimension is disappeared in translation of the story “Uncle Ermolai”, since translator destort the genre specificity. The translation of the story “Two letters” has been more qualitative in comparison with previous translations. In common, S. Namatbaev’s translation is a genius stage in translation. It needs more full and deep comprehension of S. Shukshin’s work and to establish new suitable translation. Key words: Quality of translation, stylistic variation, psychological subtleties, metaphysical dimension, stage.

TEMPERATURA DE SUPERFÍCIE E A RELAÇÃO COM O ÍNDICE DE VEGETAÇÃO POR DIFERENÇA NORMALIZADA (NDVI) NA MICROBACIA DO RIO DA BATATEIRAS, CRATO-CE

2019 ◽  
Vol 21 (2) ◽  
pp. 1310-1320
Author(s):  
Cícera Celiane Januário da Silva ◽  
Vinicius Ferreira Luna ◽  
Joyce Ferreira Gomes ◽  
Juliana Maria Oliveira Silva
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Temperature Measurement ◽  
Rainy Season ◽  
Satellite Images ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Low Density ◽  
Difference Map

O objetivo do presente trabalho é fazer uma comparação entre a temperatura de superfície e o Índice de Vegetação por Diferença Normalizada (NDVI) na microbacia do rio da Batateiras/Crato-CE em dois períodos do ano de 2017, um chuvoso (abril) e um seco (setembro) como também analisar o mapa de diferença de temperatura nesses dois referidos períodos. Foram utilizadas imagens de satélite LANDSAT 8 (banda 10) para mensuração de temperatura e a banda 4 e 5 para geração do NDVI. As análises demonstram que no mês de abril a temperatura da superfície variou aproximadamente entre 23.2ºC e 31.06ºC, enquanto no mês correspondente a setembro, os valores variaram de 25°C e 40.5°C, sendo que as maiores temperaturas foram encontradas em locais com baixa densidade de vegetação, de acordo com a carta de NDVI desses dois meses. A maior diferença de temperatura desses dois meses foi de 14.2°C indicando que ocorre um aumento da temperatura proporcionado pelo período que corresponde a um dos mais secos da região, diferentemente de abril que está no período de chuvas e tem uma maior umidade, presença de vegetação e corpos d’água que amenizam a temperatura.Palavras-chave: Sensoriamento Remoto; Vegetação; Microbacia.                                                                                  ABSTRACTThe objective of the present work is to compare the surface temperature and the Normalized Difference Vegetation Index (NDVI) in the Batateiras / Crato-CE river basin in two periods of 2017, one rainy (April) and one (September) and to analyze the temperature difference map in these two periods. LANDSAT 8 (band 10) satellite images were used for temperature measurement and band 4 and 5 for NDVI generation. The analyzes show that in April the surface temperature varied approximately between 23.2ºC and 31.06ºC, while in the month corresponding to September, the values ranged from 25ºC and 40.5ºC, and the highest temperatures were found in locations with low density of vegetation, according to the NDVI letter of these two months. The highest difference in temperature for these two months was 14.2 ° C, indicating that there is an increase in temperature provided by the period that corresponds to one of the driest in the region, unlike April that is in the rainy season and has a higher humidity, presence of vegetation and water bodies that soften the temperature.Key-words: Remote sensing; Vegetation; Microbasin.RESUMENEl objetivo del presente trabajo es hacer una comparación entre la temperatura de la superficie y el Índice de Vegetación de Diferencia Normalizada (NDVI) en la cuenca Batateiras / Crato-CE en dos períodos de 2017, uno lluvioso (abril) y uno (Septiembre), así como analizar el mapa de diferencia de temperatura en estos dos períodos. Las imágenes de satélite LANDSAT 8 (banda 10) se utilizaron para la medición de temperatura y las bandas 4 y 5 para la generación de NDVI. Los análisis muestran que en abril la temperatura de la superficie varió aproximadamente entre 23.2ºC y 31.06ºC, mientras que en el mes correspondiente a septiembre, los valores oscilaron entre 25 ° C y 40.5 ° C, y las temperaturas más altas se encontraron en lugares con baja densidad de vegetación, según el gráfico NDVI de estos dos meses. La mayor diferencia de temperatura de estos dos meses fue de 14.2 ° C, lo que indica que hay un aumento en la temperatura proporcionada por el período que corresponde a uno de los más secos de la región, a diferencia de abril que está en la temporada de lluvias y tiene una mayor humedad, presencia de vegetación y cuerpos de agua que suavizan la temperatura.Palabras clave: Detección remota; vegetación; Cuenca.

Sustainability Failure in the Antimicrobial Stewardship Program in a Secondary Care Hospital from Cuba: A Historical Review of 30 Years and 3 Shots

2020 ◽  
Vol 18 ◽  
Author(s):  
Humberto Guanche Garcell ◽  
Juan José Pisonero Socias ◽  
Gilberto Pardo Gómez
Keyword(s):  
Antimicrobial Stewardship ◽  
Historical Review ◽  
Original Data ◽  
Care Hospital ◽  
Antimicrobial Stewardship Program ◽  
Continuous Quality ◽  
Stewardship Program ◽  
History Of ◽  
Health Organization

Background: During the last 30 years an antimicrobial stewardship program (ASP) was implemented in a facility with periods of weakness. We aim to describe the history of the sustainability failure in the local ASP. Methods: A historical review was conducted using original data from the facility library and papers published. An analysis of factors related to the failure was conducted based on the Doyle approach. Results: The first ASP was implemented from 1989 to 1996 based on the international experiences and contributes to the improvement in the quality of prescription, reduction of 52% in cost and in the incidence of nosocomial infection. The second program restarts in 2008 and decline in 2015, while the third program was guided by the Pan-American Health Organization from 2019. This program, in progress, is more comprehensive than previous ones and introduced as a novel measure the monitoring of antibiotic prophylaxis in surgery. The factors related to the sustainability were considered including the availability of antimicrobials, the leader´s support, safety culture, and infrastructure. Conclusions: The history behind thirty years of experiences in antimicrobial stewardship programs has allowed us to identify the gaps that require proactive strategies and actions to achieve sustainability and continuous quality improvement.

Pseudo-Parkinson Disease Secondary to Ritonavir–Buspirone Interaction

2003 ◽  
Vol 37 (2) ◽  
pp. 202-205 ◽  
Author(s):  
Patrick G Clay ◽  
Molly M Adams
Keyword(s):  
Drug Interaction ◽  
Inhibitory Effect ◽  
Hiv Positive ◽  
High Dose ◽  
Resting Tremor ◽  
Case Summary ◽  
History Of ◽  
Drug Drug Interaction ◽  
To Receive

OBJECTIVE: To report a case of Parkinson-like symptoms appearing in a patient after introduction of ritonavir to buspirone therapy. CASE SUMMARY: A 54-year-old HIV-positive white man presented to the clinic with a 2-week history of ataxia, shuffling gait, cogwheel rigidity, resting tremor, and sad affect with masked features. This patient had been receiving high-dose buspirone (40 mg every morning and 30 mg every evening) for 2 years prior to the introduction of ritonavir/indinavir combination therapy (400 mg/400 mg twice daily) 6 weeks prior to initiation of the above symptoms. Buspirone was decreased to 15 mg 3 times daily, ritonavir/indinavir was discontinued, and amprenavir 1200 mg twice daily was added. The patient's symptoms began to subside after 1 week, with complete resolution after about 2 weeks. The patient continued to receive buspirone for an additional 12 months without recurrence of symptoms. DISCUSSION: This is the first reported interaction of buspirone and antiretrovirals. Buspirone, extensively metabolized by CYP3A4, was likely at supratherapeutic levels due to the inhibitory effect of ritonavir and, secondarily, indinavir. The Parkinson-like symptoms developed rapidly and severely, impacted this patient's quality of life, and necessitated significant clinic expenditures to identify this drug–drug interaction. CONCLUSIONS: This case demonstrates a severe drug–drug interaction between buspirone and ritonavir and further demonstrates the need for awareness of the metabolic profile for all agents an HIV-infected patient is receiving.

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