Related references
Note: Only part of the references are listed.Boundary Delineation of Agricultural Fields in Multitemporal Satellite Imagery
Heather C. North et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)
Discriminating between C3, C4, and Mixed C3/C4 Pasture Grasses of a Grazed Landscape Using Multi-Temporal Sentinel-1a Data
Richard Azu Crabbe et al.
REMOTE SENSING (2019)
Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform
Fuyou Tian et al.
REMOTE SENSING (2019)
Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data
Shengjie Liu et al.
REMOTE SENSING (2019)
Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems
Murali Krishna Gumma et al.
REMOTE SENSING (2019)
Characterizing Crop Water Use Dynamics in the Central Valley of California Using Landsat-Derived Evapotranspiration
Matthew Schauer et al.
REMOTE SENSING (2019)
Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes
Aleksi Rasanen et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Key issues in rigorous accuracy assessment of land cover products
Stephen V. Stehman et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems
Andrei Stoian et al.
REMOTE SENSING (2019)
Automatic canola mapping using time series of sentinel 2 images
Davoud Ashourloo et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
The effect of fusing Sentinel-2 bands on land-cover classification
Mateo Gasparovic et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Mapping of peanut crops in Queensland, Australia, using time-series PROBA-V 100-m normalized difference vegetation index imagery
Haerani Haerani et al.
JOURNAL OF APPLIED REMOTE SENSING (2018)
Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy
Vasileios Sitokonstantinou et al.
REMOTE SENSING (2018)
Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data
Julia Maschler et al.
REMOTE SENSING (2018)
Irrigation Mapping Using Sentinel-1 Time Series at Field Scale
Qi Gao et al.
REMOTE SENSING (2018)
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
Kristof Van Tricht et al.
REMOTE SENSING (2018)
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data
Pardhasaradhi Teluguntla et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2017)
Using spectrotemporal indices to improve the fruit-tree crop classification accuracy
M. A. Pena et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Good Practices for Object-Based Accuracy Assessment
Julien Radoux et al.
REMOTE SENSING (2017)
A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)
Valentine Lebourgeois et al.
REMOTE SENSING (2017)
Superpixels and Polygons using Simple Non-Iterative Clustering
Radhakrishna Achanta et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
Markus Immitzer et al.
REMOTE SENSING (2016)
Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile
M. A. Pena et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Optimization of Object-Based Image Analysis With Random Forests for Land Cover Mapping
Jan Stefanski et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2013)
The European Earth monitoring (GMES) programme: Status and perspectives
Josef Aschbacher et al.
REMOTE SENSING OF ENVIRONMENT (2012)
FROM FOREST TO FIELD: PERENNIAL FRUIT CROP DOMESTICATION
Allison J. Miller et al.
AMERICAN JOURNAL OF BOTANY (2011)
A phenology-based approach to map crop types in the San Joaquin Valley, California
Liheng Zhong et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Object-based crop identification using multiple vegetation indices, textural features and crop phenology
Jose M. Pena-Barragan et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Comparison of methods for land-use classification incorporating remote sensing and GIS inputs
Offer Rozenstein et al.
APPLIED GEOGRAPHY (2011)
Object based image analysis for remote sensing
T. Blaschke
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2010)
Textural approaches for vineyard detection and characterization using very high spatial resolution remote sensing data
C. Delenne et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
Estimating crop area using seasonal time series of Enhanced Vegetation Index from MODIS satellite imagery
A. B. Potgieter et al.
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH (2007)
On the use of the overlapping area matrix for image segmentation evaluation: A survey and new performance measures
Alberto Ortiz et al.
PATTERN RECOGNITION LETTERS (2006)
Using a geographic information system to identify areas with potential for off-target pesticide exposure
Thomas G. Pfleeger et al.
ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY (2006)
Object-based detailed vegetation classification. with airborne high spatial resolution remote sensing imagery
Qian Yu et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2006)
Application of MODIS derived parameters for regional crop yield assessment
PC Doraiswamy et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Forecasting land use change and its environmental impact at a watershed scale
Z Tang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2005)
Spatial classification of orchards and vineyards with high spatial resolution panchromatic imagery
TA Warner et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2005)
A simple method to improve field-level rice identification: toward operational monitoring with satellite remote sensing
TG Van Niel et al.
AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE (2003)
Crop identification using harmonic analysis of time-series AVHRR NDVI data
ME Jakubauskas et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2002)
Share Paper
