Journal ArticleDOI
Crop type classification using a combination of optical and radar remote sensing data: a review
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TLDR
For many years, crop type classification and monitoring has been an important data source for agricultural monitoring and food security assessment studies as discussed by the authors, and reliable and accurate crop classification maps are an important source of information.Abstract:
Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years, crop type classification and monitoring...read more
Citations
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Journal ArticleDOI
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany
Lukas Blickensdörfer,Marcel Schwieder,Dirk Pflugmacher,Claas Nendel,Stefan Erasmi,Patrick Hostert +5 more
TL;DR: In this article , a workflow for generating national agricultural land cover maps on a yearly basis that accounts for varying environmental conditions is proposed, and the results demonstrate the capabilities of integrated optical time series and SAR data in combination with variables describing local and seasonal environmental conditions for annual large-area crop type mapping.
Journal ArticleDOI
Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine
TL;DR: The results showed that fusing multi-temporal SAR and optical data yields higher training overall accuracies (OA) and 3D convolutional neural networks perform better than 2D convolved neural networks for crop type mapping (SAR OA 0.912, optical OA0.992).
Journal ArticleDOI
Crop Classification Based on Temporal Signatures of Sentinel-1 Observations over Navarre Province, Spain
TL;DR: The main objective of this study is to investigate the performance of a supervised crop classification approach based on crop temporal signatures obtained from Sentinel-1 time series in a challenging case study with a large number of crops and a high heterogeneity in terms of agro-climatic conditions and field sizes.
Journal ArticleDOI
Crop Type Classification Using Fusion of Sentinel-1 and Sentinel-2 Data: Assessing the Impact of Feature Selection, Optical Data Availability, and Parcel Sizes on the Accuracies
TL;DR: The results showed that, in contrast to most other studies, SAR datasets outperform optical datasets, and the optical-SAR combination outperformed single sensor predictions and no significant difference was recorded between feature stacking and decision fusion.
Journal ArticleDOI
The Effect of Droughts on Vegetation Condition in Germany: An Analysis Based on Two Decades of Satellite Earth Observation Time Series and Crop Yield Statistics
TL;DR: The study shows that the EVI deviation of the summer months of 2018 were among the most extreme in the study period compared to other years, and the spatial pattern and temporal development of vegetation condition between the drought years differ.
References
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Journal ArticleDOI
Food Security: The Challenge of Feeding 9 Billion People
H Charles J Godfray,John Beddington,I. R. Crute,Lawrence Haddad,David Lawrence,James F. Muir,Jules Pretty,Sherman Robinson,Sandy M Thomas,Camilla Toulmin +9 more
TL;DR: A multifaceted and linked global strategy is needed to ensure sustainable and equitable food security, different components of which are explored here.
Journal ArticleDOI
Solutions for a cultivated planet
Jonathan A. Foley,Navin Ramankutty,Kate A. Brauman,E. S. Cassidy,James S. Gerber,M. Johnston,Nathaniel D. Mueller,Christine S. O’Connell,Deepak K. Ray,Paul C. West,Christian Balzer,Elena M. Bennett,Stephen R. Carpenter,Jason Hill,Chad Monfreda,Stephen Polasky,Johan Rockström,John Sheehan,Stefan Siebert,David Tilman,David P. M. Zaks +20 more
TL;DR: It is shown that tremendous progress could be made by halting agricultural expansion, closing ‘yield gaps’ on underperforming lands, increasing cropping efficiency, shifting diets and reducing waste, which could double food production while greatly reducing the environmental impacts of agriculture.
Journal ArticleDOI
A survey of image classification methods and techniques for improving classification performance
Dengsheng Lu,Qihao Weng +1 more
TL;DR: It is suggested that designing a suitable image‐processing procedure is a prerequisite for a successful classification of remotely sensed data into a thematic map and the selection of a suitable classification method is especially significant for improving classification accuracy.
Journal ArticleDOI
Multisensor image fusion in remote sensing: Concepts, methods and applications
Christine Pohl,J.L. van Genderen +1 more
TL;DR: This review paper describes and explains mainly pixel based image fusion of Earth observation satellite data as a contribution to multisensor integration oriented data processing.
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