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June 2012 |
Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data
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January 2011 |
Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification
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October 2004 |
Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers
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January 1998 |
The impact of imperfect ground reference data on the accuracy of land cover change estimation
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June 2009 |
Mapping smallholder and large-scale cropland dynamics with a flexible classification system and pixel-based composites in an emerging frontier of Mozambique
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March 2020 |
Citizens as sensors: the world of volunteered geography
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November 2007 |
Object based image analysis for remote sensing
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January 2010 |
A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping
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October 2013 |
Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping
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November 2013 |
Artificial neural network response to mixed pixels in coarse-resolution satellite data
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December 1996 |
On the nature of models in remote sensing
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October 1986 |
Mapping land-cover modifications over large areas: A comparison of machine learning algorithms
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May 2008 |
Deep learning in remote sensing applications: A meta-analysis and review
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June 2019 |
Status of land cover classification accuracy assessment
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April 2002 |
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence
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January 2017 |
Satellite-based assessment of yield variation and its determinants in smallholder African systems
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February 2017 |
Land-Use Mapping in a Mixed Urban-Agricultural Arid Landscape Using Object-Based Image Analysis: A Case Study from Maricopa, Arizona
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June 2014 |
Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo
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June 2011 |
A survey of image classification methods and techniques for improving classification performance
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March 2007 |
Exploring diversity in ensemble classification: Applications in large area land cover mapping
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July 2017 |
Recommendations for using the relative operating characteristic (ROC)
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January 2014 |
New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products
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January 2008 |
A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples
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July 2009 |
High-Resolution Global Maps of 21st-Century Forest Cover Change
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November 2013 |
Mapping global cropland and field size
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January 2015 |
Automatic identification of building types based on topographic databases – a comparison of different data sources
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January 2015 |
Land cover mapping of wetland areas in an agricultural landscape using SAR and Landsat imagery
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May 2009 |
Harshness in image classification accuracy assessment
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May 2008 |
Large-scale land cover mapping with the integration of multi-source information based on the Dempster–Shafer theory
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January 2012 |
Classification in the Presence of Label Noise: A Survey
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May 2014 |
First operational BRDF, albedo nadir reflectance products from MODIS
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November 2002 |
Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
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June 2012 |
The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data
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November 2016 |
A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification
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June 2009 |
Assessing geometric accuracy of the orthorectification process from GeoEye-1 and WorldView-2 panchromatic images
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April 2013 |
Effect of errors in ground truth on classification accuracy
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August 2009 |
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
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December 2017 |
Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s
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January 2014 |
Good practices for estimating area and assessing accuracy of land change
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May 2014 |
A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
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July 2018 |
Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
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February 2012 |
A scalable satellite-based crop yield mapper
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July 2015 |
Conflation of expert and crowd reference data to validate global binary thematic maps
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February 2019 |
Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
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June 2016 |
Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
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February 2013 |
Utilizing Temporally Invariant Calibration Sites to Classify Multiple Dates and Types of Satellite Imagery
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February 2011 |
Object-based Vegetation Mapping in the Kissimmee River Watershed Using HyMap Data and Machine Learning Techniques
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January 2013 |
Sub-pixel land-cover mapping with improved fraction images upon multiple-point simulation
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June 2013 |
On the use of dimensioned measures of error to evaluate the performance of spatial interpolators
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January 2006 |
Using active learning to adapt remote sensing image classifiers
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September 2011 |
Carbon consequences of land cover change and expansion of urban lands: A case study in the Seattle metropolitan region
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October 2011 |
Incorporating Land Use Mapping and Participation in Jordan: An Approach to Sustainable Management of Two Mountainous Areas
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February 2008 |
Comparison of methods for land-use classification incorporating remote sensing and GIS inputs
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April 2011 |
A fuzzy classification of sub-urban land cover from remotely sensed imagery
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January 1998 |
The modifiable areal unit problem and implications for landscape ecology
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June 1996 |
Criteria to Confirm Models that Simulate Deforestation and Carbon Disturbance
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September 2018 |
Comment on “Tropical forests are a net carbon source based on aboveground measurements of gain and loss”
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January 2019 |
Sampling designs for accuracy assessment of land cover
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September 2009 |
A platform for crowdsourcing the creation of representative, accurate landcover maps
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June 2016 |
A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management
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November 1998 |
Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products
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March 2018 |
A review of assessing the accuracy of classifications of remotely sensed data
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July 1991 |
Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization
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September 2009 |
Challenges in using land use and land cover data for global change studies: LAND USE AND LAND COVER DATA FOR GLOBAL CHANGE STUDIES
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January 2011 |
Accuracy of forest inventory mapping: Some implications for boreal forest management
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November 2007 |
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
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January 2000 |
Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data
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October 2014 |
An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data
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June 2011 |
A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing
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April 2009 |
Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms
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February 2010 |
Smallholder maize area and yield mapping at national scales with Google Earth Engine
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July 2019 |
Cartography: uncertainty, interventions, and dynamic display
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June 2006 |
Assessing the accuracy of land cover change with imperfect ground reference data
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October 2010 |
A Coefficient of Agreement for Nominal Scales
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April 1960 |
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform
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September 2017 |
Modeling Percent Tree Canopy Cover: A Pilot Study
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July 2012 |
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
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January 2010 |
Edge effects enhance carbon uptake and its vulnerability to climate change in temperate broadleaf forests
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December 2016 |
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges
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August 2012 |
Soil Moisture Remote Sensing: State-of-the-Science
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January 2017 |
A generalized cross‐tabulation matrix to compare soft‐classified maps at multiple resolutions
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January 2006 |
A review of methods for the assessment of prediction errors in conservation presence/absence models
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March 1997 |
From Guesstimates to GPStimates: Land Area Measurement and Implications for Agricultural Analysis
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May 2015 |
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
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January 2005 |
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data
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October 2018 |
Combining satellite imagery and machine learning to predict poverty
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August 2016 |
Range of Categorical Associations for Comparison of Maps with Mixed Pixels
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August 2009 |
Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology
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journal
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November 2016 |
Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program
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March 2020 |
Hybrid object-based approach for land use/land cover mapping using high spatial resolution imagery
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June 2011 |
Recent Advances in the Measurement Error Literature
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October 2016 |
A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America
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November 2010 |
Global land cover mapping at 30m resolution: A POK-based operational approach
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May 2015 |
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
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December 2010 |
Long-term land cover dynamics by multi-temporal classification across the Landsat-5 record
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January 2013 |
An ontology of slums for image-based classification
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March 2012 |
Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin
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July 2015 |
Comparison of Office and Field Techniques for Validating Landscape Change Classification in Pacific Northwest National Parks
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December 2018 |
Towards a Reproducible LULC Hierarchical Class Legend for Use in the Southwest of Pará State, Brazil: A Comparison with Remote Sensing Data-Driven Hierarchies
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May 2018 |
Component intensities to relate difference by category with difference overall
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May 2019 |
An Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA
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September 2012 |
Improved land cover mapping using high resolution multiangle 8-band WorldView-2 satellite remote sensing data
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January 2013 |
On the Use of Unmanned Aerial Systems for Environmental Monitoring
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April 2018 |
Evaluating effectiveness of down-sampling for stratified designs and unbalanced prevalence in Random Forest models of tree species distributions in Nevada
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May 2012 |
While Boolean sets non-gently rip: A theoretical framework on fuzzy sets for mapping landscape patterns
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March 2010 |
Supervised methods of image segmentation accuracy assessment in land cover mapping
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February 2018 |
Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target: EXTENDED TRIPLE COLLOCATION
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September 2014 |
An assessment of the effectiveness of a random forest classifier for land-cover classification
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January 2012 |
Mapping vegetation in a heterogeneous mountain rangeland using landsat data: an alternative method to define and classify land-cover units
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July 2004 |
Implementation of machine-learning classification in remote sensing: an applied review
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January 2018 |
Multiscale analysis and validation of the MODIS LAI productI. Uncertainty assessment
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December 2002 |
Sub-pixel confusion–uncertainty matrix for assessing soft classifications
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March 2008 |
The factor of scale in remote sensing
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April 1987 |
Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance
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August 2013 |
Radiative forcing and temperature response to changes in urban albedos and associated CO 2 offsets
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January 2010 |
An assessment of support vector machines for land cover classification
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January 2002 |
Land cover mapping using time series HJ-1/CCD data
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May 2014 |
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
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November 2018 |
ImageNet Large Scale Visual Recognition Challenge
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April 2015 |
Components of information for multiple resolution comparison between maps that share a real variable
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October 2007 |
Statistics notes: Measurement error
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June 1996 |
Land change for all municipalities in Latin America and the Caribbean assessed from 250-m MODIS imagery (2001–2010)
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November 2012 |
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS): Assessing the accuracy of distribution models
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September 2006 |
Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data
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February 2016 |
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine
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October 2017 |
Land cover mapping of the tropical savanna region in Brazil
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June 2009 |
A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes
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June 2016 |
A global dataset of crowdsourced land cover and land use reference data
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June 2017 |
Importance of Matrix Construction for Multiple-Resolution Categorical Map Comparison
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July 2008 |
Accounting for urban biogenic fluxes in regional carbon budgets
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August 2017 |
Estimating the global distribution of field size using crowdsourcing
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November 2018 |
The total operating characteristic to measure diagnostic ability for multiple thresholds
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November 2013 |
Optimizing Remotely Sensed Solutions for Monitoring, Modeling, and Managing Coastal Environments
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August 2000 |
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
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July 2019 |
What is Land Cover?
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April 2005 |
Uncovering Ecological Patterns with Convolutional Neural Networks
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August 2019 |
High-resolution mapping of global surface water and its long-term changes
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December 2016 |
Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification
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January 2018 |
Mapping and interpreting historical land cover/land use changes in a Natura 2000 site using earth observational data: The case of Nestos delta, Greece
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journal
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January 2011 |
Mapping Urban Land Use by Using Landsat Images and Open Social Data
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February 2016 |
Ambiguities inherent in sums-of-squares-based error statistics
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January 2009 |
Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network
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December 1997 |
Global land change from 1982 to 2016
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August 2018 |
Key issues in rigorous accuracy assessment of land cover products
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September 2019 |
Learning Aerial Image Segmentation From Online Maps
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November 2017 |
Geo-Wiki: An online platform for improving global land cover
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journal
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May 2012 |
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
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September 2012 |
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach
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March 2020 |
Validating MODIS Terrestrial Ecology Products
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October 1999 |
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
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Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification
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March 2020 |
Variability of operator performance in remote-sensing image interpretation: the importance of human and external factors
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Visualizing Uncertain Information
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June 1992 |
Design and Interpretation of Intensity Analysis Illustrated by Land Change in Central Kalimantan, Indonesia
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July 2013 |
Assessing the global warming potential of human settlement expansion in a mesic temperate landscape from 2005 to 2050
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March 2016 |
Land Use and Land Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data
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October 2008 |
Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover
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June 2018 |
The effects of imperfect reference data on remote sensing-assisted estimators of land cover class proportions
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August 2018 |
Review article Synergy in remote sensing-what's in a pixel?
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January 1998 |
Uncertainty analysis for image interpretations of urban slums
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A large-area, spatially continuous assessment of land cover map error and its impact on downstream analyses
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October 2017 |
Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation
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September 2016 |
The dimensions of global urban expansion: Estimates and projections for all countries, 2000–2050
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February 2011 |
The spatial and temporal domains of modern ecology
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April 2018 |
Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product
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March 2019 |
Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition
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May 2012 |
A critical synthesis of remotely sensed optical image change detection techniques
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April 2015 |
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
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August 2011 |
Evaluation of the VIIRS BRDF, Albedo and NBAR products suite and an assessment of continuity with the long term MODIS record
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November 2017 |
Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization
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July 2009 |
Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
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June 2018 |
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
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journal
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December 2017 |
Uncertainty in ecosystem mapping by remote sensing
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January 2013 |
Integrating OpenStreetMap crowdsourced data and Landsat time-series imagery for rapid land use/land cover (LULC) mapping: Case study of the Laguna de Bay area of the Philippines
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February 2016 |
Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements: GLOBAL PHENOLOGY FROM MODIS
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How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis
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June 2015 |
Identifying Mislabeled Training Data
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Smallholder crop area mapped with wall-to-wall WorldView sub-meter panchromatic image texture: A test case for Tigray, Ethiopia
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June 2018 |
Fuzzy set theory and thematic maps: accuracy assessment and area estimation
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March 2000 |
Random Forests
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Machine learning in geosciences and remote sensing
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Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information
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Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts
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July 2013 |
Sources of error in accuracy assessment of thematic land-cover maps in the Brazilian Amazon
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March 2004 |
Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean
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journal
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February 2009 |
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform
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dataset
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January 2017 |
Implementation of machine-learning classification in remote sensing: an applied review
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dataset
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January 2018 |
Edge effects enhance carbon uptake and its vulnerability to climate change in temperate broadleaf forests
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dataset
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January 2016 |
Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding
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conference
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July 2019 |
Estimating the Global Distribution of Field Size using Crowdsourcing
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dataset
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January 2018 |
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
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dataset
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January 2018 |