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EXPLORING SENTINEL-2 FOR LAND COVER AND CROP MAPPING IN PORTUGAL

I. Hernandez, P. Benevides, H. Costa, M. Caetano
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper presents research ongoing in Portugal to develop a methodology for automatic image classification using training samples labelling with no human intervention.  ...  Rather, auxiliary datasets are used to randomly extract labelled points from large training samples to produce a land cover and crop map in raster format at 10 m spatial resolution using 2018 Sentinel-  ...  ACKNOWLEDGEMENTS This study was developed under the framework of the project foRESTER (PCIF/SSI/0102/2017) -DataFusion of sensor networks and fire spread modelling for decision support in forest fire suppression  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-83-2020 fatcat:qargl62yjzagrb5glrebi3nsdi

An operational Sentinel-2 based monitoring system for the management and control of direct aids to the farmers in the context of the Common Agricultural Policy (CAP): A case study in mainland Portugal

Ana Navarro, Inês Silva, João Catalão, João Falcão
2021 International Journal of Applied Earth Observation and Geoinformation  
A special thanks to the technicians of the IFAP Parcel Identification Unit and Operational Control Unit, in particular to Ana Marques and Manuel Camacho, for all the support and explanations throughout  ...  Results from previous experiences with Sentinel-2 imagery, used during CAP checks or other pilot projects, allowed the definition of two critical thresholds (Vajsova et al., 2019) .  ...  This area is representative of the main temporary and permanent crop types in Portugal.  ... 
doi:10.1016/j.jag.2021.102469 fatcat:teohz5tar5e3bevi67o67coovy

European Rice Cropland Mapping with Sentinel-1 Data: The Mediterranean Region Case Study

Duy Ba Nguyen, Wolfgang Wagner
2017 Water  
The annual variation in σ • (dB) from rice fields is higher than any other agricultural crop [13] .  ...  Water 2017, 9, 392 2 of 21 contributions to greenhouse gases [3], life cycle inventory [4,5], life cycle assessment [6,7], water cycle analysis [8], crop forecasting [9], and others.  ...  We also thank Ali Iftikhar for the valuable comments on the paper in its early version.  ... 
doi:10.3390/w9060392 fatcat:k3l6dudqjjhw3a2yaf7vjgwaii

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this paper, we present a patch-based land use and land cover classification approach using Sentinel-2 satellite images.  ...  The Sentinel-2 satellite images are openly and freely accessible, and are provided in the earth observation program Copernicus.  ...  Sentinel-2 satellite for the task of patch-based land use and land cover classification.  ... 
doi:10.1109/jstars.2019.2918242 fatcat:dkkraiq5bzf7np6tey5g73begm

BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding [article]

Gencer Sumbul, Jian Kang, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir
2021 arXiv   pre-print
Then, the new class-nomenclature of BigEarthNet is used within state-of-the-art DL models in the context of multi-label classification.  ...  content of the Sentinel-2 images.  ...  ) Sentinel-2 images.  ... 
arXiv:2001.06372v3 fatcat:jlo3jmzfuzhqbbkxz5pcaco4hq

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification [article]

Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2019 arXiv   pre-print
In this paper, we address the challenge of land use and land cover classification using Sentinel-2 satellite images.  ...  The Sentinel-2 satellite images are openly and freely accessible provided in the Earth observation program Copernicus.  ...  To differentiate between different agricultural land uses, the proposed dataset covers the classes annual crop, permanent crop (e.g., fruit orchards, vineyards or olive groves) and pastures.  ... 
arXiv:1709.00029v2 fatcat:nhaedu4ijnc5jixph6isjcmlly

Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding

Gencer Sumbul, Marcela Charfuelan, Begum Demir, Volker Markl
2019 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium  
Index Terms-Sentinel-2 image archive, multi-label image classification, deep neural network, remote sensing  ...  The BigEarthNet opens up promising directions to advance operational RS applications and research in massive Sentinel-2 image archives.  ...  EXPERIMENTAL RESULTS In the experiments, we have used the BigEarthNet archive in the framework of RS image scene classification problems.  ... 
doi:10.1109/igarss.2019.8900532 dblp:conf/igarss/SumbulCDM19 fatcat:nwqaeos56rcgzgmdl6ebt3r6qi

Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)

Ina M. Sieber, Malte Hinsch, Marta Vergílio, Artur Gil, Benjamin Burkhard
2021 One Ecosystem  
the Azores Region official LULC map (COS.A 2018) and (3) a remote sensing-based LULC and vegetation map of Terceira Island using Sentinel-2 satellite imagery.  ...  This paper assesses how different input LULC datasets affect the modelling and mapping of ES supply for a case study on Terceira Island, the Azores (Portugal), namely: (1) the EU-wide CORINE LULC, (2)  ...  The research leading to these results has received funding from the European Union, under the programme Pilot Project -Mapping and Assessing the State of Ecosystems and their Services in the Outermost  ... 
doi:10.3897/oneeco.6.e69119 fatcat:sxghe5mrxzcg7kjpvdu2rei6ym

BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding [article]

Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl
2019 arXiv   pre-print
The BigEarthNet opens up promising directions to advance operational RS applications and research in massive Sentinel-2 image archives.  ...  This paper presents the BigEarthNet that is a new large-scale multi-label Sentinel-2 benchmark archive.  ...  EXPERIMENTAL RESULTS In the experiments, we have used the BigEarthNet archive in the framework of RS image scene classification problems.  ... 
arXiv:1902.06148v2 fatcat:hghky2xjcvatrhez5rt6blsv54

SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification [article]

Vasileios Syrris, Ondrej Pesek, Pierre Soille
2020 arXiv   pre-print
Its usefulness is demonstrated for enhanced satellite image classification and segmentation based on convolutional neural networks.  ...  Data and open source code are provided to ensure the reproducibility of all obtained results and facilitate the ingestion of additional datasets in SatImNet.  ...  Acknowledgement: The authors would like to thank Tomáš Kliment, Panagiotis Mavrogiorgos and Pier Valerio Tognoli for their contribution in data management and Docker images configuration and maintenance  ... 
arXiv:2006.10623v1 fatcat:g55uuyxgm5cpjccgc62u4xnyyi

Self-Adjusting Thresholding for Burnt Area Detection Based on Optical Images

Edyta Woźniak, Sebastian Aleksansdrowicz
2019 Remote Sensing  
Although developed for Landsat images, it can be also applied to Sentinel-2 images without modification.  ...  The algorithm was tested in 27 areas located worldwide, and covered by various types of vegetation. Comparisons with manual interpretation show that the fully-automated classification is accurate.  ...  Four pairs of Sentinel-2 images were tested for fires that occurred in 2016 and 2017 in Colombia (Table 3) , California and for two areas in Portugal (Table 4 ).  ... 
doi:10.3390/rs11222669 fatcat:bhjsxwn5pfbhnhvjx7zhtxqjqe

Organic Farming and Cover-Crop Management Reduce Pest Predation in Austrian Vineyards

Jo Marie Reiff, Sebastian Kolb, Martin H. Entling, Thomas Herndl, Stefan Möth, Andreas Walzer, Matthias Kropf, Christoph Hoffmann, Silvia Winter
2021 Insects  
We examined the effect of organic versus integrated management, cover-crop diversity in the vineyard inter-rows, and landscape composition on the natural pest control of Lobesia botrana eggs and pupae.  ...  Habitat simplification and intensive use of pesticides are main drivers of global arthropod declines and are, thus, decreasing natural pest control.  ...  Acknowledgments: We are grateful to all collaborating winegrowers and to Argyroula Tsormpatzidou for rearing Lobesia botrana and preparing sentinel cards.  ... 
doi:10.3390/insects12030220 pmid:33806420 fatcat:qospqazqcrazbj22r4zg6kgk4a

D6.1 Collaboration with EU Projects and initiatives (1)

Manolis Tsantakis
2021 Zenodo  
The next relevant deliverable D6.5 "Collaboration with EU projects and initiatives (2)" is due in month 20 and will further elaborate on the solutions derived from the projects, the ENVISION strengths  ...  The main outcome is that all 8 projects are open for further discussions in due course.  ...  Furthermore, CALLISTO will develop an in-season availability of parcellevel crop type information using Sentinel-1 and Sentinel-2 data, aiming to identify, across a large area, parcels that potentially  ... 
doi:10.5281/zenodo.6122094 fatcat:6emsxa3oazevjh6jao2rkkac64

Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery

Luís Pádua, Nathalie Guimarães, Telmo Adão, António Sousa, Emanuel Peres, Joaquim J. Sousa
2020 ISPRS International Journal of Geo-Information  
In this study, Sentinel-2 time series data performances were evaluated in comparison with high-resolution UAV-based data, in an area affected by a fire, in 2017.  ...  Given the 10-m resolution of Sentinel-2 images, different spatial resolutions of the UAV-based data (0.25, 5 and 10 m) were used and compared to determine their similarities.  ...  Figure 2 . 2 Figure 2. Fire severity classification of the study area. Figure 2 . 2 Figure 2. Fire severity classification of the study area. 14 Figure 3 . 143 Figure 3.  ... 
doi:10.3390/ijgi9040225 fatcat:culfesfgibc3vl5aty7dffvjmu

SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification

Vasileios Syrris, Ondrej Pesek, Pierre Soille
2020 Remote Sensing  
In this context, the present work has a twofold objective: (i) to describe procedures of open-source training data management, integration, and data retrieval, and (ii) to demonstrate the practical use  ...  of varying source training data for remote sensing image classification.  ...  Acknowledgments: The authors would like to thank Tomáš Kliment, Panagiotis Mavrogiorgos, Pier Valerio Tognoli, and Paul Hasenohr for their contribution in data management, ftp service set up, and Docker  ... 
doi:10.3390/rs12203358 fatcat:elg7tuf3xvfodkm3xntfemnraq
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