scholarly journals Variação espacial da temperatura de superfície: estudo de caso de dois episódios no município de Viana, Espírito Santo, Brasil, em 2019

GeoTextos ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Fabricio Holanda do Nascimento ◽  
Amanda Fernandes Silva
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Satellite Images ◽  
Forest Cover ◽  
Espírito Santo ◽  
Heat Conservation ◽  
Remote Sensing Techniques ◽  
Espirito Santo ◽  
Land Use And Cover

<p>Esta pesquisa tem o objetivo de identificar e analisar a variação das temperaturas de superfície do Município de Viana, Espírito Santo, Brasil, por meio de técnicas de Sensoriamento Remoto, em dois episódios, chuvoso e seco, de 2019, bem como relacionar as classes de temperatura com o uso e a cobertura do solo e a morfologia do terreno. Para tanto, foram feitos levantamentos bibliográficos entre livros, teses, dissertações e artigos científicos que discorrem sobre os principais conceitos aqui tratados (Clima, Climatologia Geográfica, Sensoriamento Remoto, Sistemas de Informações Geográficas etc.), aquisição de bases cartográficas (vetoriais e raster) para a elaboração dos mapas e para aplicação de recursos técnicos de geoprocessamento de imagens de satélite. Os resultados mostraram diferenças significativas na variação das temperaturas, mais elevadas nas áreas urbanas comparativamente às áreas de agricultura/pastagens (8°C) e providas de cobertura florestal (9,5°C), tanto no verão quanto no inverno, associadas às propriedades diferenciadas quanto à produção, à propagação e à conservação de calor no ambiente.</p><p><span>Abstract</span></p><p>SPATIAL VARIATION OF SURFACE TEMPERATURE: CASE STUDY OF TWO EPISODES IN THE MUNICIPALITY OF VIANA, ESPÍRITO SANTO, BRAZIL, IN 2019</p><p>This research aims to identify and analyze the variation in surface temperatures in the municipality of Viana, Espírito Santo, Brazil, using Remote Sensing techniques, in two episodes, rainy and dry 2019, as well as to relate the temperature classes with the land use and cover and the terrain morphology. To this end, bibliographical surveys were made between books, theses, dissertations and scientific articles that discuss the main concepts treated here (Clima, Geographic Climatology, Remote Sensing, Geographic Information Systems, etc.), acquisition of cartographic bases (vector and raster) for the preparation of maps and for the application of technical resources for geoprocessing satellite images. The results showed significant differences in the variation of higher temperatures in urban areas compared to areas of agriculture / pasture (8°C) and provided with forest cover (9.5°C) both in summer and in winter associated with different properties as to production, propagation and heat conservation in the environment.</p>

scholarly journals Classifying vineyards from satellite images: a case study on Burgundy’s Côte d’Or

OENO One ◽  
2014 ◽  
Vol 48 (4) ◽  
pp. 247 ◽  
Author(s):  
Jorge R. Ducati ◽  
Magno G. Bombassaro ◽  
Jandyra M. G. Fachel
Keyword(s):  
Remote Sensing ◽  
Classification Accuracy ◽  
Satellite Images ◽  
Vegetation Index ◽  
Pinot Noir ◽  
Grape Variety ◽  
Spectral Bands ◽  
Remote Sensing Techniques ◽  
Grape Varieties

<p style="text-align: justify;"><strong>Aim</strong>: To use Remote Sensing imagery and techniques to differentiate categories of Burgundian vineyards.</p><p style="text-align: justify;"><strong>Methods and results</strong>: A sample of 201 vine plots or “climats” from the Côte d’Or region in Burgundy was selected, consisting of three vineyard categories (28 Grand Cru, 74 Premier Cru, and 99 Communale) and two grape varieties (Pinot Noir and Chardonnay). A mask formed by the polygons of these vine plots was made and projected on four satellite images acquired by the ASTER sensor, covering the Côte d’Or region in years 2002, 2003 (winter image), 2004 and 2006. Mean reflectances were extracted from pixels within each polygon for each of the nine spectral bands (visible and infrared) covered by ASTER. The database had a total of 797 reflectance spectra assembled over the four images. Statistical discriminant analysis of percentage classification accuracy was made separately for Côte de Nuits and Côte de Beaune, and for each year. Results showed that for individual years and Côtes, classification accuracy for vineyard category was as high as 73.7% (Beaune 2002) and as low as 66.7% (Beaune 2003). There were no significant differences in accuracy between spring, summer and winter images. Classification accuracy for grape variety in Côte de Beaune over the four study years was between 73.5% for Pinot Noir climats in 2004 and 91.9% for Chardonnay climats in 2006, including the winter image. Concerning the vegetation index NDVI, there were no significant differences between vineyard categories.</p><p style="text-align: justify;"><strong>Conclusions</strong>: Satellite data is shown to be functional to reveal vineyard quality. Spectral differences between categories of Burgundian vineyards are at least partially due to terroir characteristics, which are transmitted to vine and vine canopy.</p><p style="text-align: justify;"><strong>Significance and impact of the study</strong>: This work indicates that Remote Sensing techniques can be used as an auxiliary tool for the monitoring of vineyard quality in established viticultural regions and for the study of quality potential in new regions.</p>

scholarly journals Mapping summer SUHI and its impact on the environment using GIS and Remote Sensing techniques: A case study on Municipality of Prishtina (Kosovo)

2021 ◽  
Vol 12 (3) ◽  
pp. 113-129
Author(s):  
Albert Berila ◽  
◽  
Florim Isufi ◽  
Keyword(s):  
Remote Sensing ◽  
Rural Areas ◽  
Urban Areas ◽  
Satellite Image ◽  
Landsat 8 ◽  
Gis And Remote Sensing ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
Remote Sensing Techniques

Urban areas, compared to peripheral and rural areas, have higher temperatures which are caused by a series of unplanned activities that are undertaken by humans. Such a thing leads to the emergence of the Surface Urban Heat Island (SUHI) phenomenon. In this paper, summer SUHI is determined through the calculation of LST for the Municipality of Prishtina using GIS and Remote Sensing techniques. To make this calculation, the Landsat 8 satellite image with 0% cloud cover was used. From the calculations made it turns out that the pixels with the highest value of LST are found in those parts where the urban area appears, where there are numerous constructions with impermeable materials, as well as in those areas where there are bare surfaces. Whereas, the pixels with lower values of LST appear in those parts where there are vegetation and water bodies, making these areas fresher. The SUHI phenomenon makes the lives of citizens difficult, therefore, such information is very important for the leaders and urban planners of the city of Prishtina, so that they take a series of steps towards minimizing such an effect in order to the life of the citizens to be as healthy as possible.

scholarly journals How can remote sensing techniques help monitoring the vine and maximize the terroir potential?

2018 ◽  
Vol 50 ◽  
pp. 02007
Author(s):  
Cecile Tondriaux ◽  
Anne Costard ◽  
Corinne Bertin ◽  
Sylvie Duthoit ◽  
Jérôme Hourdel ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Satellite Images ◽  
Sampling Strategy ◽  
Wine Quality ◽  
Wine Production ◽  
Spectral Bands ◽  
High Resolution Satellite Images ◽  
Remote Sensing Techniques ◽  
Set Up

In each winegrowing region, the winegrower tries to value its terroir and the oenologists do their best to produce the best wine. Thanks to new remote sensing techniques, it is possible to implement a segmentation of the vineyard according to the qualitative potential of the vine stocks and make the most of each terroir to improve wine quality. High resolution satellite images are processed in several spectral bands and algorithms set-up specifically for the Oenoview service allow to estimate vine vigour and a heterogeneity index that, used together, directly reflect the vineyard oenological potential. This service is used in different terroirs in France (Burgundy, Languedoc, Bordeaux, Anjou) and in other countries (Chile, Spain, Hungary and China). From this experience, we will show how remote sensing can help managing vine and wine production in all covered terroirs. Depending on the winegrowing region and its specificities, its use and results present some differences and similarities that we will highlight. We will give an overview of the method used, the advantage of implementing field intra-or inter-selection and how to optimize the use of amendment and sampling strategy as well as how to anticipate the whole vineyard management.

Comparison of aerosol vertical profiles derived by passive and active remote sensing techniques—a case study

2004 ◽  
Vol 38 (39) ◽  
pp. 6679-6685 ◽  
Author(s):  
B. Padma Kumari ◽  
A.L. Londhe ◽  
H.K. Trimbake ◽  
D.B. Jadhav
Keyword(s):  
Remote Sensing ◽  
Vertical Profiles ◽  
Remote Sensing Techniques
Sign in / Sign up

Export Citation Format

Share Document