Results 41 to 50 of about 763 (163)

Mapping mangrove dynamics using LandTrendr on Google Earth Engine

, 2020
The coast of Suriname is very dynamic due to slowly migrating mudbanks in front of the coast originating from the Amazon. Coastal erosion or accreation takes place depending on the location of the mudbanks. The dynamics of the mangrove forest between 2000 and 2018 was studied using the Historic Satellite Archive available in Google Earth Engine.
Youchen Shen, Vries, Job De, Pita Verweij, Maanen, Barend Van, Jong, Steven De   +4 more
openaire   +1 more source

A Combined Deep Learning and Prior Knowledge Constraint Approach for Large-Scale Forest Disturbance Detection Using Time Series Remote Sensing Data

Remote Sensing, 2023
The scale and severity of forest disturbances across the globe are increasing due to climate change and human activities. Remote sensing analysis using time series data is a powerful approach for detecting large-scale forest disturbances and describing ...
Bing Du, Zhanliang Yuan, Yanchen Bo, Yusha Zhang   +3 more
doaj   +1 more source

A LandTrendr Algorithm-Based Study of Forest Disturbance from 2000 to 2020 in Jilin Province, China

Polish Journal of Environmental Studies, 2022
Forest resources are of great importance for achieving human sustainable development and carbon neutrality goals. Therefore, this study evaluated forest disturbance in Jilin Province, China, from 2000 to 2020 using the LandTrendr algorithm. The results of the study showed that the overall area of forest disturbance was 448.76 km2 in Jilin Province ...
Wei Wang, Linye Zhu, Lingling Li, Xiurong Xue, Yongyu Feng, Huaqiao Xing   +5 more
openaire   +1 more source

The Temporal-Based Forest Disturbance Monitoring Analysis: A Case Study of Nature Reserves of Hainan Island of China From 1987 to 2020

Frontiers in Environmental Science, 2022
Forest disturbance monitoring can provide scientific data for the decision making and management of nature reserves. LandTrendr algorithm has been applied to identify forest disturbances on a long-time scale through appropriate segmentation and linear ...
Han Xiao, Han Xiao, Xiaoqian Zhang, Xiaoqian Zhang, Min Yan, Min Yan, Li Zhang, Li Zhang, Hua Wang, Yan Ma, Jianbo Liu   +10 more
doaj   +1 more source

Forest Age Mapping Using Landsat Time-Series Stacks Data Based on Forest Disturbance and Empirical Relationships between Age and Height

Remote Sensing, 2023
Forest age is a critical parameter for the status and potential of carbon sequestration in forest ecosystems and reflects major forest disturbance information. However, reliable forest age data with high spatial resolution are lacking to date.
Lei Tian, Longtao Liao, Yu Tao, Xiaocan Wu, Mingyang Li   +4 more
doaj   +1 more source

A dual-pathway framework for mapping forest age in complex mining landscapes by multi-source remote sensing data and tree growth patterns

GIScience & Remote Sensing
Accurate forest age estimation is critical for sustainable forest management, carbon sequestration assessment, and biodiversity conservation. While traditional dendrochronology offers high accuracy, it lacks spatial scalability.
Tianyue Ma, Jing Li, Andy Smith, Xingguang Yan, Yiting Su, Jiangrun Huo, Yanan Li, Dan Chen, Haixia Yu   +8 more
doaj   +1 more source

Tracking the Vegetation Change Trajectory over Large-Surface Coal Mines in the Jungar Coalfield Using Landsat Time-Series Data

Remote Sensing, 2023
Coal mining and ecological restoration activities significantly affect land surfaces, particularly vegetation. Long-term quantitative analyses of vegetation disturbance and restoration are crucial for effective mining management and ecological ...
Yanfang Wang, Shan Zhao, Hengtao Zuo, Xin Hu, Ying Guo, Ding Han, Yuejia Chang   +6 more
doaj   +1 more source

Comparative analysis of forest disturbance detection in the key state-owned forest region of the Greater Khingan Range of China based on different algorithms

Geocarto International
The Greater Khingan Range of China has experienced varying levels of disturbance in history. To support sustainable management, this study used Landsat data (1986–2017) from GEE to establish a normalized burn ratio time series, compared the ...
Ke Xu, Wenshu Lin, Ning Zhang
doaj   +1 more source

Continuous Tracking of Forest Disturbance and Recovery in the Greater Khingan Mountains from Annual Landsat Imagery

Remote Sensing, 2023
Understanding accurate and continuous forest dynamics is of key importance for forest protection and management in the Greater Khingan Mountains (GKM). There has been a lack of finely captured and long-term information on forest disturbance and recovery ...
Huixin Ren, Chunying Ren, Zongming Wang, Mingming Jia, Wensen Yu, Pan Liu, Chenzhen Xia   +6 more
doaj   +1 more source

Cloud-Based Solutions for Monitoring Coastal Ecosystems and the Prioritization of Restoration Efforts Across Belize

Remote Sensing
In recent years, the availability of automated change detection algorithms in Google Earth Engine has permitted the cloud-based processing of large quantities of satellite imagery. Models such as the Continuous Change Detection and Classification (CCDC),
Christine Evans, Lauren Carey, Florencia Guerra, Emil A. Cherrington, Edgar Correa, Diego Quintero   +5 more
doaj   +1 more source