46-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification

Land use and cover changes (LUCC) in permafrost regions have significant consequences on ecology, engineered systems, and the environment. Obtaining more details about LUCC is crucial for sustainable development, land conservation, and environment management. The Hola Basin (957 km<sup>2</s...

Full description

Bibliographic Details
Main Authors: Raul-David Șerban, Mihaela Șerban, Ruixia He, Huijun Jin, Yan Li, Xinyu Li, Xinbin Wang, Guoyu Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/10/1910
id doaj-c09a1d98565e46199b7e1def72385126
record_format Article
spelling doaj-c09a1d98565e46199b7e1def723851262021-05-31T23:56:43ZengMDPI AGRemote Sensing2072-42922021-05-01131910191010.3390/rs1310191046-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented ClassificationRaul-David Șerban0Mihaela Șerban1Ruixia He2Huijun Jin3Yan Li4Xinyu Li5Xinbin Wang6Guoyu Li7State Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaState Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaState Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaState Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaState Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaSchool of Civil Engineering, Harbin Institute of Technology, Harbin 150090, ChinaState Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaState Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaLand use and cover changes (LUCC) in permafrost regions have significant consequences on ecology, engineered systems, and the environment. Obtaining more details about LUCC is crucial for sustainable development, land conservation, and environment management. The Hola Basin (957 km<sup>2</sup>) in the northernmost part of Northeast China, a boreal forest landscape underlain by discontinuous, sporadic, and isolated permafrost, was selected for the case study. The LUCC was analyzed using the Landsat archive of satellite images from 1973 to 2019. A thematic change detection analysis was performed by combining the object-based image analysis (OBIA) and the Support Vector Machine (SVM) algorithm. Four types of LUCC (forest, grass, water, and anthropic) were extracted with an overall accuracy of 80% for 1973 and >90% for 1986, 2000, and 2019. Forest, the dominant class (750 km<sup>2</sup> in 1973), declined by 88 km<sup>2</sup> (11.8%) from 1973 to 1986 but had a recovery of 78 km<sup>2</sup> (12.5%) from 2000 to 2019. Grass, the second-largest class (187 km<sup>2</sup> in 1973), increased by 86 km<sup>2</sup> (46.5%) between 1973 and 1986 and decreased by 90 km<sup>2</sup> (40%) between 2000 and 2019. The anthropic class continuously increased from 10 km<sup>2</sup> (1973) to 37 km<sup>2</sup> (2019). Major features in LUCC are attributed to rapid population growth, resource exploitation, agriculture intensification, economic development, and frequent forest fires. Under a pronounced climate warming, these drivers have been accelerating the degradation of permafrost, subsequently triggering natural hazards and deteriorating the ecological environment. This study represents a benchmark for sustainable LUCC management in the Hola Basin, Northeast China.https://www.mdpi.com/2072-4292/13/10/1910land use and cover changes (LUCC)object-based image analysis (OBIA)Support Vector Machine (SVM)permafrostNortheast China
collection DOAJ
language English
format Article
sources DOAJ
author Raul-David Șerban
Mihaela Șerban
Ruixia He
Huijun Jin
Yan Li
Xinyu Li
Xinbin Wang
Guoyu Li
spellingShingle Raul-David Șerban
Mihaela Șerban
Ruixia He
Huijun Jin
Yan Li
Xinyu Li
Xinbin Wang
Guoyu Li
46-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
Remote Sensing
land use and cover changes (LUCC)
object-based image analysis (OBIA)
Support Vector Machine (SVM)
permafrost
Northeast China
author_facet Raul-David Șerban
Mihaela Șerban
Ruixia He
Huijun Jin
Yan Li
Xinyu Li
Xinbin Wang
Guoyu Li
author_sort Raul-David Șerban
title 46-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
title_short 46-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
title_full 46-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
title_fullStr 46-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
title_full_unstemmed 46-Year (1973–2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
title_sort 46-year (1973–2019) permafrost landscape changes in the hola basin, northeast china using machine learning and object-oriented classification
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-05-01
description Land use and cover changes (LUCC) in permafrost regions have significant consequences on ecology, engineered systems, and the environment. Obtaining more details about LUCC is crucial for sustainable development, land conservation, and environment management. The Hola Basin (957 km<sup>2</sup>) in the northernmost part of Northeast China, a boreal forest landscape underlain by discontinuous, sporadic, and isolated permafrost, was selected for the case study. The LUCC was analyzed using the Landsat archive of satellite images from 1973 to 2019. A thematic change detection analysis was performed by combining the object-based image analysis (OBIA) and the Support Vector Machine (SVM) algorithm. Four types of LUCC (forest, grass, water, and anthropic) were extracted with an overall accuracy of 80% for 1973 and >90% for 1986, 2000, and 2019. Forest, the dominant class (750 km<sup>2</sup> in 1973), declined by 88 km<sup>2</sup> (11.8%) from 1973 to 1986 but had a recovery of 78 km<sup>2</sup> (12.5%) from 2000 to 2019. Grass, the second-largest class (187 km<sup>2</sup> in 1973), increased by 86 km<sup>2</sup> (46.5%) between 1973 and 1986 and decreased by 90 km<sup>2</sup> (40%) between 2000 and 2019. The anthropic class continuously increased from 10 km<sup>2</sup> (1973) to 37 km<sup>2</sup> (2019). Major features in LUCC are attributed to rapid population growth, resource exploitation, agriculture intensification, economic development, and frequent forest fires. Under a pronounced climate warming, these drivers have been accelerating the degradation of permafrost, subsequently triggering natural hazards and deteriorating the ecological environment. This study represents a benchmark for sustainable LUCC management in the Hola Basin, Northeast China.
topic land use and cover changes (LUCC)
object-based image analysis (OBIA)
Support Vector Machine (SVM)
permafrost
Northeast China
url https://www.mdpi.com/2072-4292/13/10/1910
work_keys_str_mv AT rauldavidserban 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
AT mihaelaserban 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
AT ruixiahe 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
AT huijunjin 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
AT yanli 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
AT xinyuli 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
AT xinbinwang 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
AT guoyuli 46year19732019permafrostlandscapechangesintheholabasinnortheastchinausingmachinelearningandobjectorientedclassification
_version_ 1721416154156630016