scholarly journals Clasificación de usos del suelo a partir de imágenes Sentinel-2

2017 ◽  
pp. 55 ◽  
Author(s):  
J. Borràs ◽  
J. Delegido ◽  
A. Pezzola ◽  
M. Pereira ◽  
G. Morassi ◽  
...  
Keyword(s):  
Land Use ◽  
Buenos Aires ◽  
Relevant Information ◽  
Earth Observation ◽  
Kappa Index ◽  
Excellent Spatial Resolution ◽  
The One ◽  
Agricultural Areas ◽  
Sentinel 2 ◽  
Do So

<p>Sentinel-2 (S2), a new ESA satellite for Earth observation, accounts with 13 bands which provide high-quality radiometric images with an excellent spatial resolution (10 and 20 m) ideal for classification purposes. In this paper, two objectives have been addressed: to determine the best classification method for S2, and to quantify its improvement with respect to the SPOT operational mission. To do so, four classifiers (LDA, RF, Decision Trees, K-NN) have been selected and applied to two different agricultural areas located in Valencia (Spain) and Buenos Aires (Argentina). All classifiers were tested using, on the one hand, all the S2 bands and, on the other hand, only selecting those bands from S2 closer to the four bands from SPOT. In all the cases, between 10%-50% of samples were used to train the classifier while remaining the rest for validation. As a result, a land use map was generated from the best classifier, according to the Kappa index, providing scientifically relevant information such as the area of each land use class.</p>

scholarly journals Study of efficiency and information transmission for agricultural futures markets: a comparative analysis between Buenos Aires and Chicago using monthly and daily data

2017 ◽  
Vol 34 (69) ◽  
pp. 3-23
Author(s):  
Jeremías Lachman ◽  
Pablo Jack
Keyword(s):  
Comparative Analysis ◽  
Information Transmission ◽  
Market Efficiency ◽  
Futures Markets ◽  
Buenos Aires ◽  
Relevant Information ◽  
Futures Market ◽  
Daily Data ◽  
Agricultural Futures ◽  
The One

This paper aims to study and compare the efficiency in futures markets for soybean crop between Buenos Aires (MATBA) and Chicago (CME–CBOT) for the years 1994 through 2015. There are numerous studies that analyze this phenomenon independently, but few of them have done a comparative analysis between marke- ts. Therefore, the main objective of this research — in addition to individually analyzing the efficiency in futures market in each country — is to be able to detect the existence of a relationship between the two markets. In this article we show that, in addition for market efficiency in all cases, market efficiency in MatBa was derived from the efficiency in CME–CBOT. This means that relevant information is transmitted from the Chicago market to the one in Buenos Aires. By using a cointegration approach based on Johansen (1995) we estimated the models with monthly and daily data.

scholarly journals Sentinel-2 imagery usage on environmental monitoring of land use and occupation in a microwatershed in Central Brazil

Gaia Scientia ◽  
2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Jean Jesus Novais ◽  
Marilusa Pinto Coelho Lacerda
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Social Aspects ◽  
Agricultural Activities ◽  
Maximum Likelihood Algorithm ◽  
Kappa Index ◽  
Central Brazil ◽  
Strategic Plans ◽  
Distrito Federal ◽  
Sentinel 2

In the last decades, sustainability concerns have increased the demand for projects and strategic plans that integrate economic and social aspects, reducing environmental impacts. In this sense, this study aims to monitor land-use adequacy in the Ribeirão Extrema microwatershed, Distrito Federal, based on cross-mapping between land-use and occupation in 2019 and agricultural aptitude map through Geographic Information Systems and Remote sensing. To this end, a hypsometric and thematic database was prepared for the region. Besides, we acquired an image from the Sentinel-2 orbital sensor of October 2019. The image was subjected to classification regarding land-use and occupation, using the MAXVER (maximum likelihood) algorithm. It was observed that 80% of use in 2019 was related to agricultural activities. Kappa index validation reached 81% accuracy. Based on the methodology, we identified 62.33% of agricultural activities occur into its capacity; 4.33%, were used above capacity, causing environmental degradation, especially in permanent preservation areas. The application of the technique was considered satisfactory because the adequacy of land-use in the studied microwatershed could be assessed in order to pursue sustainable development. Continuous analyzes can improve results.

scholarly journals Evaluation of Using Sentinel-1 and -2 Time-Series to Identify Winter Land Use in Agricultural Landscapes

2018 ◽  
Vol 11 (1) ◽  
pp. 37 ◽  
Author(s):  
Julien Denize ◽  
Laurence Hubert-Moy ◽  
Julie Betbeder ◽  
Samuel Corgne ◽  
Jacques Baudry ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Vegetation Cover ◽  
Temporal Dynamics ◽  
Agricultural Practices ◽  
Agricultural Landscapes ◽  
Support Vector ◽  
Kappa Index ◽  
Spatio Temporal ◽  
Agricultural Areas

Monitoring vegetation cover during winter is a major environmental and scientific issue in agricultural areas. From an environmental viewpoint, the presence and type of vegetation cover in winter influences the transport of pollutants to water resources. From a methodological viewpoint, characterizing spatio-temporal dynamics of land cover and land use at the field scale is challenging due to the diversity of farming strategies and practices in winter. The objective of this study was to evaluate the respective advantages of Sentinel optical and SAR time-series to identify land use in winter. To this end, Sentinel-1 and -2 time-series were classified using Support Vector Machine and Random Forest algorithms in a 130 km² agricultural area. From the classification, the Sentinel-2 time-series identified winter land use more accurately (overall accuracy (OA) = 75%, Kappa index = 0.70) than that of Sentinel-1 (OA = 70%, Kappa = 0.66) but a combination of the Sentinel-1 and -2 time-series was the most accurate (OA = 81%, Kappa = 0.77). Our study outlines the effectiveness of Sentinel-1 and -2 for identify land use in winter, which can help to change agricultural practices.

scholarly journals MAPPING OF SUMMER AGRICULTURAL CROPS IN THE ALTO PARAGUAI BASIN THROUGH EVI/MODIS TIME SERIES

GEOGRAFIA ◽  
2018 ◽  
Vol 42 (3) ◽  
pp. 129-143
Author(s):  
Clóvis CECHIM JÚNIOR ◽  
João Francisco Gonçalves ANTUNES ◽  
Jerry Adriani JOHANN ◽  
Júlio César Dalla Mora ESQUERDO
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Cover ◽  
Temporal Analysis ◽  
Agricultural Expansion ◽  
Agricultural Crops ◽  
Kappa Index ◽  
Lulc Changes ◽  
Agricultural Areas ◽  
Spatial Temporal Analysis

The main land use and land cover (LULC) changes that a given area passes over the time can be evaluated by using spatial-temporal analysis of satellites images. Then, it is possible to identify the LULC changes, as well as the main causes of environmental impacts. The objective of this paper was to analyze the LULC changes of the main agricultural lands cultivated in the Alto Paraguai Basin (BAP). This paper focused on the summer crops (soybean and corn) and the analysis of agricultural expansion. The results, considering a16-year comparison, showed an increase of 40.60% in the expansion of agricultural areas. The evaluation of the accuracy showed the efficiency of the methodology of agricultural mapping, presenting a Kappa Index of 0.85 for the 2000/2001 and 0.86 for the 2015/2016 crop seasons

scholarly journals Analysis of a Landscape Intensely Modified by Agriculture in the Tietê–Jacaré Watershed, Brazil

2021 ◽  
Vol 13 (16) ◽  
pp. 9304
Author(s):  
Diego Peruchi Trevisan ◽  
Polyanna da Conceição Bispo ◽  
Yaqing Gou ◽  
Bianca Fogaça de Souza ◽  
Veraldo Liesenberg ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Driving Forces ◽  
Temporal Analysis ◽  
Environmental Data ◽  
Kappa Index ◽  
Paulo State ◽  
Proposed Model ◽  
Environmental Responses ◽  
Sentinel 2

Anthropogenic actions influence landscapes, and the resulting mosaic is a mix of natural and anthropogenic elements that vary in size, shape, and pattern. Considering this, our study aimed to analyse the land use and land cover changes in the Tietê–Jacaré watershed (São Paulo state, Brazil), using the random forest (RF) algorithm and Sentinel-2 satellite data from 2016 to 2018 to detect landscape changes. By overlapping the environmental data and the proposed model evaluation, it was possible to observe the landscape structure, produce information about the state of this region, and assess the environmental responses to anthropic impacts. The land use and land cover analysis identified eight classes: exposed soil, citriculture, pasture, silviculture, sugar cane, urban area, vegetation, and water. The RF classification for the three years reached high accuracy with a kappa index of 0.87 in 2016, 0.85 in 2017, and 0.85 in 2018. The model developed was essential for the temporal analysis since it allowed us to comprehend the driving forces that act in this landscape and contribute to the discussions about their impacts over time. The results showed a predominance of agricultural activities over the three years, with approximately 900.000 ha (76% of the area), mainly covered by sugarcane cultivation.

scholarly journals SEN2-AGRI – CROP TYPE MAPPING PILOT STUDY USING SENTINEL-2 SATELLITE IMAGERY IN INDIA

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 175-180 ◽  
Author(s):  
D. Vijayasekaran
Keyword(s):  
Land Use ◽  
Time Series ◽  
Satellite Imagery ◽  
Classification Accuracy ◽  
Earth Observation ◽  
Field Size ◽  
Observation Data ◽  
Type Mapping ◽  
Crop Type ◽  
Sentinel 2

<p><strong>Abstract.</strong> Large-scale mapping and monitoring of agriculture land use are very important. It helps in forecast crop yields, assesses the factors influencing the crop stress and estimate the damage due to natural hazards. Also, more essentially, aids in calculating the irrigation water demand at the farm level and better water resource management. Recent developments in remote sensing satellite sensors spatial and temporal resolutions, global coverage and open access such as Sentinel-2, created new possibilities in mapping and monitoring land use/land cover features. The present study investigated the performance and applicability of Sen2-Agri system in the heterogeneous cropping system for operational crop type mapping at parcel resolution using time series Sentinel-2 multispectral satellite imagery. The parcel level crop type information was collected in the field by systematic sampling and used to train and validate the random forest (RF) classification in the system. The classification accuracy varied from 57% to 86% for different major crops. The overall classification accuracy was 70% with KAPPA index of 61%. The very small agriculture field size and persistent cloud cover are the major constraint to the improvement of classification accuracy. Combination of the time series imagery from multiple earth observation satellites for the monsoon cropping season and development of a robust system for in-situ data collection will further increase the mapping accuracy. Sen2-Agri system has the potential to handle a large amount of earth observation data and can be scaled up to the entire country, which will help in the efficient monitoring of crops.</p>

scholarly journals SPEECH RATE OF OLDER PEOPLE

2011 ◽  
pp. 56-63
Author(s):  
Erica Gonçalves Teixeira ◽  
Letícia Correa Celeste ◽  
Henrique Gonçalves Teixeira ◽  
César Reis
Keyword(s):  
Older People ◽  
Comparative Study ◽  
Oral Reading ◽  
Speech Rate ◽  
Relevant Information ◽  
Brazilian Portuguese ◽  
Temporal Organization ◽  
Significant Difference ◽  
The One ◽  
Do So

This research consists primarily of the attempt to better understand the phenomena related to the temporal organization in oral reading of adults and older people in Brazilian Portuguese. In order to do so, readings were collected from one of the excerpts of the corpus EUROM1 for Brazilian Portuguese, with 20 female informants. For the analysis of temporal organization, we studied the following parameters: elocution and articulation time, number of pauses and their time, number of syllables, elocution and articulation rates. We were able to note that there is a statistically significant difference between the two groups observed for all the analyzed parameters (except the one with number of syllables). Therefore, we conclude that the temporal organization is an important aspect of prosody, which may give relevant information in a comparative study.

scholarly journals INVESTIGATIONS ON THE POTENTIAL OF HYPERSPECTRAL AND SENTINEL-2 DATA FOR LAND-COVER&thinsp;/&thinsp;LAND-USE CLASSIFICATION

2018 ◽  
Vol IV-1 ◽  
pp. 155-162 ◽  
Author(s):  
M. Weinmann ◽  
P. M. Maier ◽  
J. Florath ◽  
U. Weidner
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Automated Analysis ◽  
Hyperspectral Data ◽  
Land Use Classification ◽  
Multispectral Data ◽  
Benchmark Datasets ◽  
Time Series Analyses ◽  
The One ◽  
Sentinel 2

<p><strong>Abstract.</strong> The automated analysis of large areas with respect to land-cover and land-use is nowadays typically performed based on the use of hyperspectral or multispectral data acquired from airborne or spaceborne platforms. While hyperspectral data offer a more detailed description of the spectral properties of the Earth’s surface and thus a great potential for a variety of applications, multispectral data are less expensive and available in shorter time intervals which allows for time series analyses. Particularly with the recent availability of multispectral Sentinel-2 data, it seems desirable to have a comparative assessment of the potential of both types of data for land-cover and land-use classification. In this paper, we focus on such a comparison and therefore involve both types of data. On the one hand, we focus on the potential of hyperspectral data and the commonly applied techniques for data-driven dimensionality reduction or feature selection based on these hyperspectral data. On the other hand, we aim to reason about the potential of Sentinel-2 data and therefore transform the acquired hyperspectral data to Sentinel-2-like data. For performance evaluation, we provide classification results achieved with the different types of data for two standard benchmark datasets representing an urban area and an agricultural area, respectively.</p>

Pablo Neruda's Transnational Modernist Networks: Colombo-Madrid-London-Buenos Aires (1927–1933)

2017 ◽  
Vol 12 (2) ◽  
pp. 198-225
Author(s):  
Patricia Novillo-Corvalán
Keyword(s):  
Chamber Music ◽  
Latin American ◽  
Buenos Aires ◽  
Cultural Institutions ◽  
Complex Composition ◽  
British Colonial ◽  
The One ◽  
Composition Process ◽  
In Transit ◽  
Standing Question

This article positions Pablo Neruda's poetry collection Residence on Earth I (written between 1925–1931 and published in 1933) as a ‘text in transit’ that allows us to trace the development of transnational modernist networks through the text's protracted physical journey from British colonial Ceylon (now Sri Lanka) to Madrid, and from José Ortega y Gasset's Revista de Occidente (The Western Review) to T. S. Eliot's The Criterion. By mapping the text's diasporic movement, I seek to reinterpret its complex composition process as part of an anti-imperialist commitment that proposes a form of aesthetic solidarity with artistic modernism in Ceylon, on the one hand, and as a vehicle through which to interrogate the reception and categorisation of Latin American writers and their cultural institutions in a British periodical such as The Criterion, on the other. I conclude with an examination of Neruda's idiosyncratic Spanish translation of Joyce's Chamber Music, which was published in the Buenos Aires little magazine Poesía in 1933, positing that this translation exercise takes to further lengths his decolonising views by giving new momentum to the long-standing question of Hiberno-Latin American relations.

Interrelationships between municipal spatial policy strategy and airport operation and development. Lodz Airport case study

2018 ◽  
Vol 59 (1) ◽  
pp. 65-79
Author(s):  
Katarzyna Nikorowicz-Zatorska
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Cultural Development ◽  
The Other ◽  
Local Authorities ◽  
Spatial Management ◽  
The One ◽  
Surrounding Areas

Abstract The present paper focuses on spatial management regulations in order to carry out investment in the field of airport facilities. The construction, upgrades, and maintenance of airports falls within the area of responsibility of local authorities. This task poses a great challenge in terms of organisation and finances. On the one hand, an active airport is a municipal landmark and drives local economic, social and cultural development, and on the other, the scale of investment often exceeds the capabilities of local authorities. The immediate environment of the airport determines its final use and prosperity. The objective of the paper is to review legislation that affects airports and the surrounding communities. The process of urban planning in Lodz and surrounding areas will be presented as a background to the problem of land use management in the vicinity of the airport. This paper seeks to address the following questions: if and how airports have affected urban planning in Lodz, does the land use around the airport prevent the development of Lodz Airport, and how has the situation changed over the time? It can be assumed that as a result of lack of experience, land resources and size of investments on one hand and legislative dissonance and peculiar practices on the other, aviation infrastructure in Lodz is designed to meet temporary needs and is characterised by achieving short-term goals. Cyclical problems are solved in an intermittent manner and involve all the municipal resources, so there’s little left to secure long-term investments.

Sign in / Sign up

Export Citation Format

Share Document