Integrating Logistic Regression and Geostatistics for User-Oriented and Uncertainty-Informed Accuracy Characterization in Remotely-Sensed Land Cover Change Information
Accuracy is increasingly recognized as an important dimension in geospatial information and analyses. A strategy well suited for map users who usually have limited information about map lineages is proposed for location-specific characterization of accuracy in land cover change maps. Logistic regres...
Main Authors: | Jingxiong Zhang, Yingying Mei |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-07-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/5/7/113 |
Similar Items
-
An Explorative Study on Estimating Local Accuracies in Land-Cover Information Using Logistic Regression and Class-Heterogeneity-Stratified Data
by: Jingxiong Zhang, et al.
Published: (2018-10-01) -
An Adaptive Sampling Strategy for Land Cover Change Information and Its Accuracy Characterization
by: MEI Yingying, et al.
Published: (2018-05-01) -
Improving the Accuracy of Remote Sensing Land Cover Classification by GEO-ECO Zoning Coupled with Geostatistical Simulation
by: Ling Zhu, et al.
Published: (2021-01-01) -
Spatial Accuracy Assessment and Integration of Global Land Cover Datasets
by: Nandin-Erdene Tsendbazar, et al.
Published: (2015-11-01) -
Refining Land-Cover Maps Based on Probabilistic Re-Classification in CCA Ordination Space
by: Yue Wan, et al.
Published: (2020-09-01)