scholarly journals Early mapping of industrial tomato in Central and Southern Italy with Sentinel 2, aerial and RapidEye additional data

2018 ◽  
Vol 156 (3) ◽  
pp. 396-407 ◽  
Author(s):  
Gaia Vaglio Laurin ◽  
Claudio Belli ◽  
Roberto Bianconi ◽  
Pietro Laranci ◽  
Dario Papale
Keyword(s):  
Open Data ◽  
Development Stage ◽  
Control Area ◽  
Current Case ◽  
Crop Development ◽  
Data Policy ◽  
Main Production ◽  
Growth Changes ◽  
Production Areas ◽  
Sentinel 2

AbstractTimely crop information, i.e. well before harvesting time and at first stages of crop development, can benefit farmers and producer organizations. The current case study documents the procedure to deliver early data on planted tomato to users, showing the potential of Sentinel 2 (S2) to map tomato at the very beginning of the crop season, which is a challenging task. Using satellite data, integrated with ground and aerial data, an initial estimate of area planted with tomato and early tomato maps were generated in seven main production areas in Italy. Estimates of the amount of area planted with tomato provided similar results either when derived from field surveys or from remote-sensing-based classification. Tomato early maps showed a producer accuracy >80% in seven cases out of nine, and a user accuracy >80% in five cases out of nine, with differences attributed to the varying agricultural characteristics and environmental heterogeneity of the study areas. The additional use of aerial data improved producer accuracy moderately. The ability to identify abrupt growth changes, such as those caused by natural hazards, was also analysed: S2 detected significant changes in tomato growth between a hailstorm-affected area and a control area. The study suggests that S2, with enhanced spectral capabilities and open data policy, represents very valuable data, allowing crop monitoring at an early development stage.

scholarly journals Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions

2021 ◽  
Vol 10 (4) ◽  
pp. 251
Author(s):  
Christina Ludwig ◽  
Robert Hecht ◽  
Sven Lautenbach ◽  
Martin Schorcht ◽  
Alexander Zipf
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Open Data ◽  
Green Spaces ◽  
Data Sets ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Urban Quality Of Life ◽  
Shafer Theory ◽  
Sentinel 2

Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 m fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations, we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster–Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95% and was mainly influenced by the uncertainty of the public accessibility model.

scholarly journals Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series

2021 ◽  
Vol 13 (5) ◽  
pp. 956
Author(s):  
Florian Mouret ◽  
Mohanad Albughdadi ◽  
Sylvie Duthoit ◽  
Denis Kouamé ◽  
Guillaume Rieu ◽  
...  
Keyword(s):  
Outlier Detection ◽  
Experimental Validation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Multispectral Images ◽  
Vegetation Indexes ◽  
Crop Development ◽  
Different Types ◽  
Selection Of ◽  
Sentinel 2

This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on rapeseed and wheat parcels located in Beauce (France). The proposed methodology consists of four sequential steps: (1) preprocessing of synthetic aperture radar (SAR) and multispectral images acquired using Sentinel-1 and Sentinel-2 satellites, (2) extraction of SAR and multispectral pixel-level features, (3) computation of parcel-level features using zonal statistics and (4) outlier detection. The different types of anomalies that can affect the studied crops are analyzed and described. The different factors that can influence the outlier detection results are investigated with a particular attention devoted to the synergy between Sentinel-1 and Sentinel-2 data. Overall, the best performance is obtained when using jointly a selection of Sentinel-1 and Sentinel-2 features with the isolation forest algorithm. The selected features are co-polarized (VV) and cross-polarized (VH) backscattering coefficients for Sentinel-1 and five Vegetation Indexes for Sentinel-2 (among us, the Normalized Difference Vegetation Index and two variants of the Normalized Difference Water). When using these features with an outlier ratio of 10%, the percentage of detected true positives (i.e., crop anomalies) is equal to 94.1% for rapeseed parcels and 95.5% for wheat parcels.

scholarly journals Fusarium Consortium Populations Associated with Asparagus Crop in Spain and Their Role on Field Decline Syndrome

2020 ◽  
Vol 6 (4) ◽  
pp. 336
Author(s):  
Alexandri María Brizuela ◽  
Eduardo De la Lastra ◽  
José Ignacio Marín-Guirao ◽  
Laura Gálvez ◽  
Miguel de Cara-García ◽  
...  
Keyword(s):  
Fusarium Oxysporum ◽  
Fusarium Species ◽  
Management Strategies ◽  
Statistical Correlation ◽  
Inoculum Density ◽  
Average Temperature ◽  
Species Complexes ◽  
Main Production ◽  
Production Areas ◽  
Prevalent Species

Asparagus Decline Syndrome (ADS) is one of the main phytosanitary problems of asparagus crop worldwide. Diseased plants and soil samples from 41 fields from three main production areas of Spain were surveyed. Eight Fusarium species belonging to seven species complexes were identified in soils: F. oxysporum, F. proliferatum, F. redolens, F. solanisensu stricto, F. equiseti, F. culmorum, F. compactum and F. acuminatum. Fusarium oxysporum was the most prevalent species. Statistical correlation (R2 = 88%) was established between F. oxysporum inoculum density and the average temperature of the warmest month. A relationship was also established between three crop factors (average temperature, crop age and F. oxysporum inoculum density) and field disease indices. Significant differences were observed between the distribution of F. oxysporum propagules in white and green asparagus fields. Thirteen Fusarium species belonging to seven species complexes were identified from roots of diseased plants, being F. oxysporum the most prevalent. F. proliferatum, F. oxysporum and F. redolens showed pathogenicity to asparagus and were the main species associated to ADS. Fusarium oxysporum was the species with the highest genetic diversity displaying 14 sequence-based haplotypes with no geographic differentiation. This work contributes to understanding the Fusarium complex associated to ADS for developing accurate integrated disease management strategies.

scholarly journals Characterization of Xanthomonas campestris pv. campestris in Algeria

2021 ◽  
Vol 60 (1) ◽  
pp. 51-62
Author(s):  
Samia LAALA ◽  
Sophie CESBRON ◽  
Mohamed KERKOUD ◽  
Franco VALENTINI ◽  
Zouaoui BOUZNAD ◽  
...  
Keyword(s):  
Xanthomonas Campestris ◽  
Housekeeping Genes ◽  
First Record ◽  
Black Rot ◽  
Physiological And Biochemical Characteristics ◽  
Main Production ◽  
Production Areas ◽  
Cruciferous Plants ◽  
Xanthomonas Campestris Pv Campestris

Xanthomonas campestris pv. campestris (Xcc) causes the black rot of cruciferous plants. This seed-borne bacterium is considered as the most destructive disease to cruciferous crops. Although sources of contamination are various, seeds are the main source of transmission. Typical symptoms of black rot were first observed in 2011 on cabbage and cauliflower fields in the main production areas of Algeria. Leaf samples displaying typical symptoms were collected during 2011 to 2014, and 170 strains were isolated from 45 commercial fields. Xcc isolates were very homogeneous in morphological, physiological and biochemical characteristics similar to reference strains, and gave positive pathogenicity and molecular test results (multiplex PCR with specific primers). This is the first record of Xcc in Algeria. Genetic diversity within the isolates was assessed in comparison with strains isolated elsewhere. A multilocus sequence analysis based on two housekeeping genes (gyrB and rpoD) was carried out on 77 strains representative isolates. The isolates grouped into 20 haplotypes defined with 68 polymorphic sites. The phylogenetic tree obtained showed that Xcc is in two groups, and all Algerian strains clustered in group 1 in three subgroups. No relationships were detected between haplotypes and the origins of the seed lots, the varieties of host cabbage, the years of isolation and agroclimatic regions.

scholarly journals An Evaluation of the Pathogenic Potential, and the Antimicrobial Resistance, of Salmonella Strains Isolated from Mussels

2022 ◽  
Vol 10 (1) ◽  
pp. 126
Author(s):  
Antonio Lozano-León ◽  
Carlos García-Omil ◽  
Rafael R. Rodríguez-Souto ◽  
Alexandre Lamas ◽  
Alejandro Garrido-Maestu
Keyword(s):  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Virulence Genes ◽  
Health Issues ◽  
Salmonella Spp ◽  
Pathogenic Potential ◽  
Antimicrobial Resistance Genes ◽  
Important Health ◽  
Main Production ◽  
Production Areas

Salmonella spp. and antimicrobial resistant microorganisms are two of the most important health issues worldwide. In the present study, strains naturally isolated from mussels harvested in Galicia (one of the main production areas in the world), were genetically characterized attending to the presence of virulence and antimicrobial resistance genes. Additionally, the antimicrobial profile was also determined phenotypically. Strains presenting several virulence genes were isolated but lacked all the antimicrobial resistance genes analyzed. The fact that some of these strains presented multidrug resistance, highlighted the possibility of bearing different genes than those analyzed, or resistance based on completely different mechanisms. The current study highlights the importance of constant surveillance in order to improve the safety of foods.

scholarly journals Development and release of phenological data products—A case study in compliance with federal open data policy

2018 ◽  
Author(s):  
Alyssa H. Rosemartin ◽  
Madison L. Langseth ◽  
Theresa M. Crimmins ◽  
Jake F. Weltzin
Keyword(s):  
Open Data ◽  
Phenological Data ◽  
Data Products ◽  
Data Policy

Societal and Economical Impact on Citizens through Innovations Using Open Government Data

2015 ◽  
pp. 147-178 ◽  
Author(s):  
D. P. Misra ◽  
Alka Mishra
Keyword(s):  
Good Governance ◽  
Open Data ◽  
Indian Society ◽  
Government Accountability ◽  
Open Government Data ◽  
Data Platform ◽  
Data Policy ◽  
Government Data ◽  
The Government ◽  
The Impact

This chapter analyzes the impact that an open data policy can have on the citizens of India. Especially in a scenario where government accountability and transparency has become the buzzword for good governance and further look at whether the availability of open data can become an agent for socio-economic change in India. What kind of change it can bring to India which has its own complexities when it comes to socio economic issues and whether the steps taken by the government are up to the mark to address these complexities through data sharing. In order to understand the changes which may occur for the good or the bad, the chapter looks at specific examples where the open data platform have been utilized in India and what impact they have had on the Indian society and how the citizens have responded to it.

Progress and Initiatives for Open Data Policy in Japan

Computer ◽  
2018 ◽  
Vol 51 (12) ◽  
pp. 14-23 ◽  
Author(s):  
Takahiro Sumitomo ◽  
Noboru Koshizuka
Keyword(s):  
Open Data ◽  
Data Policy

scholarly journals Preventive Archaeology Based on Open Remote Sensing Data and Tools: The Cases of Sant’Arsenio (SA) and Foggia (FG), Italy

2019 ◽  
Vol 11 (15) ◽  
pp. 4145 ◽  
Author(s):  
Nicodemo Abate ◽  
Rosa Lasaponara
Keyword(s):  
Remote Sensing ◽  
Cultural Heritage ◽  
Urban Sprawl ◽  
Southern Italy ◽  
Open Data ◽  
Remote Sensing Data ◽  
Public Works ◽  
Oil Pipelines ◽  
Specific Reason ◽  
Sentinel 2

Sentinel-2 data have been used in various fields of human activity. In cultural heritage, their potential is still to be fully explored. This paper aims to illustrate how remote sensing and open source tools are useful for archaeological investigations. The whole issue revolves around the application of satellite (Sentinel-2) and accessory tools for the identification, knowledge and protection of the cultural heritage of two areas of southern Italy: Sant’Arsenio (SA) and Foggia (FG). Both study cases were selected for a specific reason: to demonstrate the usefulness of open data and software for research and preservation of cultural heritage, as in the case of urban sprawl, development of public works (gas- and oil-pipelines, etc.) or intensive use of land for agricultural purposes. The results obtained are relevant for the knowledge improvement and very useful to operate in the field of preventive archaeology, for the evaluation and management of risk, the planning of city-expansion or infrastructures that could damage the buried heritage.

scholarly journals Agronomic Evaluation and Yield Performance of Selected Barley (Hordeum vulgare L.) Landraces from Jordan

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
R. Al-Sayaydeh ◽  
A. Al-Bawalize ◽  
Z. Al-Ajlouni ◽  
M. W. Akash ◽  
J. Abu-Elenein ◽  
...  
Keyword(s):  
Hordeum Vulgare ◽  
Hordeum Vulgare L ◽  
Yield Performance ◽  
Growing Seasons ◽  
Local Cultivar ◽  
Dry Conditions ◽  
Associated Conditions ◽  
Barley Landraces ◽  
Main Production ◽  
Production Areas

Barley (Hordeum vulgare L.) landraces collected previously from main production areas across Jordan are expected to perform well under stressful environments. In this study, the agronomic performance of 10 Jordanian barley landraces and three local cultivars was evaluated in two locations for two growing seasons. Clear significant variations for all studied traits were observed among the selected genotypes, environments, and their interactions. The local cultivar Rum and Baladi landrace showed the best yield performance, while Herawi and Nabawi landraces produced the lowest yield across all environments. Clustering analysis using genotypic data from the iSelect 9k SNP barley array showed a clear grouping based on row type with 100% similarity level between the Syfi and Arabi landraces. The characterized Jordanian landraces can be used to improve barley resilience against climate change and associated conditions and are recommended in breeding programs to improve productivity under dry conditions.

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