A Composite Method for Predicting Local Accuracies in Remotely Sensed Land-Cover Change Using Largely Non-Collocated Sample Data

Remote Sensing - Switzerland
doi 10.3390/rs11232818
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Assessment of Land-Cover Change Using GIS and Remotely-Sensed Data: A Case Study in Ain Snoussi Area of Northern Tunisia

Forest Science and Technology
ForestryPolicyManagementMonitoringLaw
2011English

Impact of Land Use Land Cover Change on Coastal Tourism in Kundapura, Karnataka, Using Multi-Temporal Remotely Sensed Data and GIS Techniques

Atna - Journal of Tourism Studies
2018English

Review Article Digital Change Detection Techniques Using Remotely-Sensed Data

International Journal of Remote Sensing
EarthPlanetary Sciences
1989English

Environmental Public Health Applications Using Remotely Sensed Data

Geocarto International
DevelopmentWater SciencePlanningTechnologyGeography
2012English

Conditional Simulation of Remotely Sensed Rainfall Data Using a Non-Gaussian V-Transformed Copula

Advances in Water Resources
Water ScienceTechnology
2010English

Integrating Logistic Regression and Geostatistics for User-Oriented and Uncertainty-Informed Accuracy Characterization in Remotely-Sensed Land Cover Change Information

ISPRS International Journal of Geo-Information
DevelopmentPlanetary SciencesComputers in Earth SciencesPlanningEarthGeography
2016English

Assessment of Urban Heat Islands Using Remotely Sensed Data

Ekoloji
EvolutionEcologyNatureSystematicsBehaviorLandscape ConservationPollution
2012English

Predicting Mammal Species Richness From Remotely Sensed Data at Different Spatial Scales

The Open Remote Sensing Journal
2009English

Analysis of Agricultural Drought Using Remotely Sensed Evapotranspiration in a Data-Scarce Catchment

Water (Switzerland)
DevelopmentBiochemistryPlanningAquatic ScienceWater ScienceTechnologyGeography
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy