Assessing Accuracy of Land Cover Change Maps Derived from Automated Digital Processing and Visual Interpretation in Tropical Forests in Indonesia
This study assessed the accuracy of land cover change (2000–2018) maps compiled from Landsat images with either automated digital processing or with visual interpretation for a tropical forest area in Indonesia. The accuracy assessment used a two-stage stratified random sampling involving a confusio...
Main Authors: | Inggit Lolita Sari, Christopher J. Weston, Glenn J. Newnham, Liubov Volkova |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/8/1446 |
Similar Items
-
Developing Multi-Source Indices to Discriminate between Native Tropical Forests, Oil Palm and Rubber Plantations in Indonesia
by: Inggit Lolita Sari, et al.
Published: (2021-12-01) -
Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset
by: Tingting Zhao, et al.
Published: (2023-04-01) -
Using Bayesian multitemporal classification to monitor tropical forest cover changes in Kalimantan, Indonesia
by: Inggit Lolita Sari, et al.
Published: (2022-12-01) -
Assessing Multi-Temporal Global Urban Land-Cover Products Using Spatio-Temporal Stratified Sampling
by: Yali Gong, et al.
Published: (2022-08-01) -
Regional Accuracy Assessment of 30-Meter GLC_FCS30, GlobeLand30, and CLCD Products: A Case Study in Xinjiang Area
by: Jingpeng Liu, et al.
Published: (2023-12-01)