Results 41 to 50 of about 358 (155)

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

Contrasting Forest Loss and Gain Patterns in Subtropical China Detected Using an Integrated LandTrendr and Machine-Learning Method

Remote Sensing, 2022
China has implemented a series of forestry law, policies, regulations, and afforestation projects since the 1970s. However, their impacts on the spatial and temporal patterns of forests have not been fully assessed yet. The lack of an accurate, high-resolution, and long-term forest disturbance and recovery dataset has impeded this assessment.
Jianing Shen, Guangsheng Chen, Jianwen Hua, Sha Huang, Jiangming Ma   +4 more
openaire   +2 more sources

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

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

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

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

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

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

Rapid Land Surface Uplift and Groundwater Recovery Observed During the Syrian War

Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract Recent geopolitical upheaval in Syria is driving regional growth by returning populations, which increases demands on water resources. In northwest Syria, widespread cropland abandonment during the Syrian War starting in 2011 drastically changed the hydrological regime of the region.
Saeed Mhanna, Landon J. S. Halloran, Yves Tille, Ahmed Haj Asaad, Francois Zwahlen, Philip Brunner   +5 more
wiley   +1 more source

Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023) [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The growing pressure on the ecosystems of the Amazon Biorne highlights the need for continuous monitoring of vegetation cover, especially in sensitive areas such as Indigenous lands.
A. P. Cavassim, V. R. A. Almeida, D. Z. Muguio, J. A. S. Centeno   +3 more
doaj   +1 more source