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A Practical Framework for Progressive In-Season Crop Area Estimation: Design-Consistent Inference Combining Vehicle–UAV Sampling and Dynamic Classification Maps
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Global land cover mapping at 30 m resolution: A POK-based operational approach
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Exploring Google Street View with deep learning for crop type mapping
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End-to-end learned early classification of time series for in-season crop type mapping
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EMET: An emergence-based thermal phenological framework for near real-time crop type mapping
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Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The Pareto Boundary
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Resolution dependent errors in remote sensing of cultivated areas
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Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data
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Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
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Good practices for estimating area and assessing accuracy of land change
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Key issues in rigorous accuracy assessment of land cover products
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Incorporating interpreter variability into estimation of the total variance of land cover area estimates under simple random sampling
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Choosing a sample size allocation to strata based on trade-offs in precision when estimating accuracy and area of a rare class from a stratified sample
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The impact of map accuracy on area estimation with remotely sensed data within the stratified random sampling design
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Robust and timely within-season conterminous United States crop type mapping using Landsat Sentinel-2 time series and the transformer architecture
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Integrating classifier transfer and sample transfer strategies for in-season crop mapping based on sample weighting technique
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The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery
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Estimating area and map accuracy for stratified random sampling when the strata are different from the map classes
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Poststratification and Conditional Variance Estimation
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Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC)
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Planning airborne photogrammetry and remote-sensing missions with modern platforms and sensors
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Ant system: optimization by a colony of cooperating agents
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Global land use / land cover with Sentinel 2 and deep learning
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Wireless communications with unmanned aerial vehicles: opportunities and challenges
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Twenty years of CropWatch: Progress and prospect
inferredcites →https://doi.org/10.1287/trsc.2017.0791openalex-snapshot
Optimization Approaches for the Traveling Salesman Problem with Drone
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Unmanned Aerial Vehicles in Agriculture: A Survey
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A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses
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A Survey of Recent Extended Variants of the Traveling Salesman and Vehicle Routing Problems for Unmanned Aerial Vehicles
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A Review on UAV-Based Applications for Precision Agriculture
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Vehicle routing problem with trucks and drones collaboration: a structured literature review
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