Results 1 to 10 of about 358 (155)
Demystifying LandTrendr and CCDC temporal segmentation
International Journal of Applied Earth Observation and Geoinformation, 2022 Improved access to remotely sensed imagery and time series algorithms in combination with increased availability of cloud computing resources and platforms such as Google Earth Engine have significantly expanded the community of users processing and ...
Valerie J Pasquarella +2 more
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Fusing LandTrendr BCI and machine learning for spoil dump mapping [PDF]
Scientific ReportsMonitoring the long-term evolution of open-pit mining spoil dumps is challenging, requiring the decoupling of short-term material deposition from long-term ecological succession. This study presents an automated framework for spoil dump mapping by fusing
Xu Zhen +3 more
doaj +6 more sources
Remote Sensing, 2023 Forest disturbance detection is of great significance for understanding forest dynamics. The Landsat-based detection of the Trends in Disturbance and Recovery (LandTrendr) algorithm is widely used for forest disturbance mapping.
Rong Shang, Jing M Chen, Chen Jing M
exaly +4 more sources
Monitoring of Vegetation Disturbance and Restoration at the Dumping Sites of the Baorixile Open-Pit Mine Based on the LandTrendr Algorithm [PDF]
International Journal of Environmental Research and Public Health, 2022 Overstocked dumping sites associated with open-pit coal mining occupy original vegetation areas and cause damage to the environment. The monitoring of vegetation disturbance and restoration at dumping sites is important for the accurate planning of ecological restoration in mining areas. This paper aimed to monitor and assess vegetation disturbance and
Junting Guo +2 more
exaly +4 more sources
Remote Sensing, 2022 The means to accurately monitor wetland change over time are crucial to wetland management. This paper explores the applicability of LandTrendr, a temporal segmentation algorithm designed to identify significant interannual trends, to monitor wetlands by
Joseph Knight
exaly +4 more sources
European Journal of Remote Sensing, 2022 Recently, the Tibetan Plateau (TP) has experienced dramatic climate change, which influence atmospheric and hydrological cycles. The understanding of surface water dynamics is essential to further investigate the water balance and the hydrologic cycle in
X. R. Chai, M. Li, G. W. Wang
exaly +4 more sources
A global map of planting years of plantations [PDF]
Scientific Data, 2022 Measurement(s) planting years of plantations Technology Type(s) remote sensing and LandTrendr algorithm Sample Characteristic - Organism ...
Zhenrong Du +9 more
doaj +2 more sources
Harmonizing Terrestrial Carbon Cycle Observations Over CONUS NEON Sites: Assessing the Information Contributions of Multiple Data Constraints. [PDF]
Glob Chang BiolThe Workflow of the State Data Assimilation (SDA). ABSTRACT Accurate inventories of terrestrial carbon pools and fluxes are crucial for understanding ecosystem processes, tracking climate change impacts, and meeting the monitoring, reporting, and verification (MRV) requirements in international treaties and voluntary carbon markets.
Zhang D +4 more
europepmc +2 more sources
Implementation of the LandTrendr Algorithm on Google Earth Engine [PDF]
Remote Sensing, 2018 The LandTrendr (LT) algorithm has been used widely for analysis of change in Landsat spectral time series data, but requires significant pre-processing, data management, and computational resources, and is only accessible to the community in a ...
Robert E Kennedy +6 more
doaj +2 more sources
LandTrendr smoothed spectral profiles enhance woody encroachment monitoring
Remote Sensing of Environment, 2021 This work was supported by project IMAGINE [CGL2016-80400-R] funded by the Spanish Science Foundation (FECYT) and by the research grant program Ajuts UdL, Jade Plus i Fundació Bancària La Caixa [Agreement 79/2018 of the Governing Council of the University of Lleida].
Père Gelabert +2 more
exaly +5 more sources