Results 1 to 10 of about 763 (163)
Improving LandTrendr Forest Disturbance Mapping in China Using Multi-Season Observations and Multispectral Indices [PDF]
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 Chen
exaly +5 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 +6 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 +5 more sources
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 ...
Zhiqiang Yang +2 more
exaly +5 more sources
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
Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and LandTrendr-Google Earth Engine Cloud Computing [PDF]
Remote Sensing, 2020 Producing accurate land cover maps is time-consuming and estimating land cover changes between two generated maps is affected by error propagation.
Andrea Nascetti +2 more
exaly +4 more sources
Land, 2022 Mining sites are areas where mining and restoration coexist and are constantly changing. The vegetation condition can reflect the process of surface mining and restoration, while quantifying the impacts of different mining patterns and surrounding ...
Yunxuan Liu
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
Annual Impervious Surface Data from 2001–2020 for West African Countries: Ghana, Togo, Benin and Nigeria [PDF]
Scientific DataImpervious surface data are increasingly important for research and planning. Despite the availability of global and local urban land cover maps, regional data are lacking in Africa. We generated annual 30 m impervious cover data from 2001–2020 for Ghana,
Andrews Korah, Michael C. Wimberly
doaj +2 more sources
Forest harvest dataset for northern Colorado Rocky Mountains (1984â2015) generated from a Landsat time series and existing forest harvest records [PDF]
Data in Brief, 2017 This dataset provides a shapefile containing approximately 3500 polygons with the location, extent, size, and year of clearcut harvest events occurring between 1984 and 2015 in forested areas of the northern Colorado, Landsat WRS-2 scene Path 034, Row ...
Brian Woodward +6 more
doaj +2 more sources