Key issues in rigorous accuracy assessment of land cover products

SV Stehman, GM Foody - Remote Sensing of Environment, 2019 - Elsevier
Accuracy assessment and land cover mapping have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …

Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data

H Ebrahimy, B Mirbagheri, AA Matkan… - ISPRS Journal of …, 2021 - Elsevier
Given the importance of accuracy in land cover (LC) maps, several methods have been
adopted to predict per-pixel land cover accuracy (PLCA) of classified remote sensing …

Quantifying uncertainty in land-use land-cover classification using conformal statistics

D Valle, R Izbicki, RV Leite - Remote Sensing of Environment, 2023 - Elsevier
Land-use land-cover (LULC) change is one of the most important anthropogenic threats to
biodiversity and ecosystems integrity. As a result, the systematic generation of annual …

S patio-temporal pattern of land use and land cover and its effects on land surface temperature using remote sensing and GIS techniques: A case study of …

T Das, A Jana, B Mandal, A Sutradhar - GeoJournal, 2021 - Springer
Urbanization produces substantial land use changes by causing the construction of different
urban infrastructures in the city region for habitation, transportation, industry, and other …

Effectiveness of the integration of data balancing techniques and tree-based ensemble machine learning algorithms for spatially-explicit land cover accuracy …

H Ebrahimy, B Mirbagheri, AA Matkan… - … Applications: Society and …, 2022 - Elsevier
Classification of remote sensing images has become a common practice in providing land
use/land cover (LULC) maps. Among the main elements of a successful LC mapping task …

Spatial downscaling of MODIS Chlorophyll-a using Landsat 8 images for complex coastal water monitoring

Y Fu, S Xu, C Zhang, Y Sun - Estuarine, Coastal and Shelf Science, 2018 - Elsevier
Abstract Chlorophyll-a (Chl-a) is an indicator for monitoring the trophic status of coastal
water. However, its sampling and analysing in situ can be time consuming and spatially …

Self-learning based land-cover classification using sequential class patterns from past land-cover maps

Y Kim, NW Park, KD Lee - Remote Sensing, 2017 - mdpi.com
To improve the accuracy of classification with a small amount of training data, this paper
presents a self-learning approach that defines class labels from sequential patterns using a …

地表覆盖遥感产品更新完善的研究动向

陈军, 张俊, 张委伟, 彭舒 - 遥感学报, 2021 - ygxb.ac.cn
近年来, 多尺度地表覆盖遥感产品的不断涌现, 为环境变化研究, 地球系统模拟, 地理国(世)
情监测和可持续发展规划等提供了重要科学数据. 为更好地满足广大用户日益增长的应用需求 …

Geostatistical characterization of local accuracies in remotely sensed land cover change categorization with complexly configured reference samples

J Zhang, W Zhang, Y Mei, W Yang - Remote Sensing of Environment, 2019 - Elsevier
Accuracy is an integral component in consumption of land cover and change information.
Accuracy characterization in change categorization is more complicated than that in single …

Use of Geostatistical Methods Involving Standard Deviation and Semivariogram to Assess the Accuracy of Water Surface Extraction by Supervised Classification

A Bendib, ML Boutrid - Journal of the Indian Society of Remote Sensing, 2024 - Springer
The extraction of water surfaces plays a pivotal role in various applications, yet it presents
considerable challenges due to the intricate nature of homogeneous entities and the quality …