An Assessment of Citizen Contributed Ground Reference Data for Land Cover Map Accuracy Assessment

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences - Germany
doi 10.5194/isprsannals-ii-3-w5-219-2015
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Copernicus GmbH

Related search

Land Cover Classification Accuracy Assessment Using Full-Waveform LiDAR Data

Terrestrial, Atmospheric and Oceanic Sciences
EarthAtmospheric SciencePlanetary SciencesOceanography
2015English

Uncertainty Assessment of Globeland30 Land Cover Data Set Over Central Asia

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Extending Accuracy Assessment Procedures of Global Coverage Land Cover Maps Through Spatial Association Analysis

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2019English

An Experimental Data Set for the Accuracy Assessment of Room Fire Models

1988English

Land Cover Analysis for Evapotranspiration Assessment in Catania Metropolitan Region

Advances in Geospatial Technologies
2013English

An Assessment of the Land Use and Land Cover Changes in Shurugwi District, Midlands Province, Zimbabwe.

Ethiopian Journal of Environmental Studies and Management
2011English

Adaptive Feature Spaces for Land Cover Classification With Limited Ground Truth Data

International Journal of Pattern Recognition and Artificial Intelligence
Computer VisionPattern RecognitionArtificial IntelligenceSoftware
2004English

An Urban Biodiversity Assessment Framework That Combines an Urban Habitat Classification Scheme and Citizen Science Data

Frontiers in Ecology and Evolution
EvolutionEcologySystematicsBehavior
2019English

Accuracy Assessment of Lidar Elevation Data Using Survey Marks

Survey Review
CivilEarthPlanetary SciencesStructural EngineeringComputers in Earth Sciences
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy