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An Adaptive Image Segmentation Method with Automatic Selection of Optimal Scale for Extracting Cropland Parcels in Smallholder Farming Systems

Zhiwen Cai, Qiong Hu, Xinyu Zhang, Jingya Yang, Haodong Wei, Zhen He, Qian Song, Cong Wang, Gaofei Yin, Baodong Xu
2022 Remote Sensing  
In this study, we proposed an adaptive image segmentation method with the automated selection of optimal scale (MSAOS) to extract cropland parcels in heterogeneous agricultural landscapes.  ...  These results indicate the great potential of using MSAOS for image segmentation in conjunction with random forest classification to effectively extract cropland parcels in smallholder farming systems.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14133067 fatcat:4pvlmgjmebgizmfooie4ddio7u

Mapping Crop Rotation by Using Deeply Synergistic Optical and SAR Time Series

Yiqing Liu, Wenzhi Zhao, Shuo Chen, Tao Ye
2021 Remote Sensing  
Furthermore, the deeply synergistic SAR-optical, time-series data, with a corresponding attention mechanism, were effective in extracting crop rotation features, with an overall gain of accuracy of four  ...  Therefore, our proposed method added wisdom to dynamic crop rotation mapping and yields important information for the agro-ecosystem management of the study area.  ...  Data Availability Statement: All data and model presented in this study are available on request from the corresponding author for research purpose.  ... 
doi:10.3390/rs13204160 fatcat:7yujcf4o4fbmhnv5fxmfndfoxy

Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network [article]

François Waldner, Foivos I. Diakogiannis
2020 arXiv   pre-print
In this paper, we address the problem of field boundary extraction from satellite images as a multitask semantic segmentation problem.  ...  By minimising image preprocessing requirements and replacing local arbitrary decisions by data-driven ones, our approach is expected to facilitate the extraction of individual crop fields at scale.  ...  Acknowledgements We received funding from "Grains", a project of the Digiscape Future Science Platform. We are grateful to Dr Sophie Bontemps and Annelize Collet for sharing their data and.  ... 
arXiv:1910.12023v2 fatcat:h7mvdtlj3zhblfyoc6b26s4li4

Advanced Fully Convolutional Networks for Agricultural Field Boundary Detection

Alireza Taravat, Matthias P. Wagner, Rogerio Bonifacio, David Petit
2021 Remote Sensing  
The presented results show that the ResU-Net model has a better performance with an average F1 score of 0.90 and average Jaccard coefficient of 0.80 in comparison to the U-Net model with an average F1  ...  An extensive experimental analysis is performed over the whole of Denmark using Sentinel-2 images and comparing several U-Net and ResU-Net field boundary detection algorithms.  ...  We would like to thank Matt Grayling for helping us improving our U-Net model. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13040722 fatcat:3kdx3lsvpbh6rcgr7qphdl3nty

AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine

Gaoxiang Yang, Weiguo Yu, Xia Yao, Hengbiao Zheng, Qiang Cao, Yan Zhu, Weixing Cao, Tao Cheng
2021 International Journal of Applied Earth Observation and Geoinformation  
After extracting spatial objects from Sentinel-2 imagery in the season of 2017-2018, this method performed recognition of winter wheat objects based on the unique phenology and spectral features of winter  ...  Currently, the automatic acquisition of crop distribution at large scales is still a challenge due to the time-consuming processing of remotely sensed imagery and manual collection of sufficient training  ...  As indicated in Fig. 6a & b, over-segmentation was more obvious over the state-owned farms than the smallholder farms due to the existence of clearer boundaries (but may not be wide enough for separating  ... 
doi:10.1016/j.jag.2021.102446 fatcat:wd7n53ql6fbk7jusva4wcdu6h4

Deep Learning and Earth Observation to Support the Sustainable Development Goals [article]

Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls
2021 arXiv   pre-print
This paper reviews current deep learning approaches for Earth observation data, along with their application towards monitoring and achieving the SDGs most impacted by the rapid development of deep learning  ...  in Earth observation.  ...  Initially explored methods for the automated extraction of cadastral boundaries from EO images are based on image segmentation and edge detection [173] .  ... 
arXiv:2112.11367v1 fatcat:7eve5dr45vcublfqyzzrccuvxa

Remote Sensing and Cropping Practices: A Review

Agnès Bégué, Damien Arvor, Beatriz Bellon, Julie Betbeder, Diego de Abelleyra, Rodrigo P. D. Ferraz, Valentine Lebourgeois, Camille Lelong, Margareth Simões, Santiago R. Verón
2018 Remote Sensing  
We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor.  ...  In this context, we reviewed the literature on remote sensing for mapping cropping practices.  ...  [87] showed that an object-based approach for WorldView2 image classification, based on multiscale segmentations and the joint use of textural and spectral indices, results in good discrimination of  ... 
doi:10.3390/rs10010099 fatcat:twvd6jtdinb2hnfs63nlvnyvwa

Deep Learning and Adaptive Graph-Based Growing Contours for Agricultural Field Extraction

Matthias P. Wagner, Natascha Oppelt
2020 Remote Sensing  
We combined the boundary detection results with the GGC method for field polygon extraction.  ...  In this study, we present a field boundary detection technique based on deep learning and a variety of image features, and combine it with the graph-based growing contours (GGC) method to extract agricultural  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12121990 fatcat:tof5iu3tdzcpxhdabwxkjevgry

D6.2 Market Outlook Analysis

Vassilis Spitadakis
2021 Zenodo  
The purpose of the document is to present the status of the market that ENVISION is targeting in terms of the legal environment and technical conditions that affect.  ...  By highlighting the forces and conditions in the market, ENVISION will be aware of the driving elements to consider and the differentiation features to target.  ...  An operational pilot has been successfully performed over Foggia province (south of Italy), automatically processing more than 450,000 agricultural parcels, using more than 200 Sentinel images collected  ... 
doi:10.5281/zenodo.6122355 fatcat:d23edb4nsvbbrejo7l656x4egi

Mid-Term Workshop - User Requirements and Gap Analysis in Different Sectors Report

Vaclav Safar, Karel Charvat, Tomas Orlikas, Martynas RIMGAILA, Bente Lilja Bye, David KOLITZUS, Hana Kubíčková
2020 Zenodo  
Therefore,it is necessary to provide more focused research in thearea of analysis of dependencies of climate data with EO data, including historical [...]  ...  Thus, the Intermediate Workshop, which was planned for mid-March 2020 and co-organized with the support of the European GNSS Agency had to be cancelled.  ...  ERA5 (ECMWF), NEMS30 (Meteoblue). • Level-1C multi-spectral imaging products from the Sentinel-2 available at field scale • Dynamic cropland mask, crop type map and LAI from Sen2Agri system • Corine Land  ... 
doi:10.5281/zenodo.4247303 fatcat:gktsseyboncizk7qkyqjcstbvy

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
By applying an already established active learning approach based on a Support Vector Machine with relevance feedback [2], we can limit ourselves to a limited number of typical satellite images to extract  ...  For doing this, we propose to select overlapping target areas from Synthetic Aperture Radar and multispectral images acquired with rapid succession.  ...  The results are shown for two case studies in Italy and in China The Italian ones is the Sud Fortore District of the Capitanata Irrigation consortium which covers an area of about 50'000 hectares with  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Freewat, A Horizon 2020 Project To Build Open Source Tools For Water Management: A European Perspective Conference Towards Sustainable Agriculture

Borsi Iacopo Mehl Steffen
2017 Zenodo  
and to support the FREEWAT application in an innovative participatory approach gathering technical staff and relevant stakeholders (policy and decision makers) in designing scenarios for applicationof  ...  Specific objectives of the project are: to coordinate previous EU and national funded research to integrate existing software modules for water management in a single environment into the GIS based FREEWAT  ...  Acknowledgements: This study is part of the PERSIST project funded by the EU Water JPI (JPIW2013-118).  ... 
doi:10.5281/zenodo.546436 fatcat:k2i5fkueorbefidbm676x74dii

4. Drivers of Forests and Tree-based Systems for Food Security and Nutrition [chapter]

Daniela Kleinschmit, Bimbika Sijapati Basnett, Adrian Martin, Nitin D. Rai, Carsten Smith-Hall, Neil M. Dawson, Gordon Hickey, Henry Neufeldt, Hemant R. Ojha, Solomon Zena Walelign
2015 Forests and Food: Addressing Hunger and Nutrition Across Sustainable Landscapes  
This report entitled "Forests, Trees and Landscapes for Food Security and Nutrition" presents the results of the fourth global scientific assessment undertaken so far in the framework of GFEP.  ...  It is my hope that those with a responsibility for forests, food security and nutrition at all levels will find this report, and its accompanying policy brief, a useful source of information and inspiration  ...  We also gratefully acknowledge the generous financial and in-kind support provided by the Ministry for Foreign Affairs of Finland, the United States Forest Service, and the Austrian Federal Ministry of  ... 
doi:10.11647/obp.0085.04 fatcat:54v2ju66cfbmxpwp24pptdqvbq

The Food Crisis in Africa: A Comparative Structural Analysis [chapter]

Jean-Philippe Platteau
1991 The Political Economy of Hunger: Volume 2: Famine Prevention  
with in a selective way and at a much decentralized level (24) .  ...  In varietal research, all that was thought to be needed was "importing varieties from other parts of the world, testing them for adaptability, and selecting the suitable ones" [Spencer 1986, 225] .  ...  that in an official document the government of Mali has criticized rural agents of the central administration for the "omnipotent power they have vested themselves with" and for the way they have "traumatized  ... 
doi:10.1093/acprof:oso/9780198286363.003.0007 fatcat:hqn4lhku6fetfflquq4w6xvoiy

Tropical Grasslands-Forrajes Tropicales Vol.7 No.4 [Sep 2019]

TGFT Journal
2019 Tropical Grasslands-Forrajes Tropicales  
Its science is carried out by 15 Research Centers in close collaboration with hundreds of partners across the globe (www.cgiar.org).  ...  Secondly we send special thanks to farmers for their time and for sharing their information with us.  ...  In more humid areas with usually heavier soils, currently leucaena represents an integral part of the feeding systems in hundreds of Paraguayan farms (large-scale as well as smallholders), mainly for steer  ... 
doi:10.17138/tgft(7)259-478 fatcat:lwxqateucfbzbec4qs5hft5o7q
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