Results 11 to 20 of about 2,290,802 (153)

Monitoring of Vegetation Disturbance and Restoration at the Dumping Sites of the Baorixile Open-Pit Mine Based on the LandTrendr Algorithm. [PDF]

Int J Environ Res 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
Guo J, Li Q, Xie H, Li J, Qiao L, Zhang C, Yang G, Wang F.   +7 more
europepmc   +5 more sources

Mapping mangrove dynamics and colonization patterns at the Suriname coast using historic satellite data and the LandTrendr algorithm [PDF]

International Journal of Applied Earth Observations and Geoinformation, 2021
Mangroves play an important role in protecting coasts against wave energy and storms. Mangrove ecosystems provide important habitats for fauna and flora and are an important carbon sink.
Steven M. de Jong, Youchen Shen, Job de Vries, Ginny Bijnaar, Barend van Maanen, Pieter Augustinus, Pita Verweij   +6 more
doaj   +17 more sources

Evaluating the Multidimensional Stability of Regional Ecosystems Using the LandTrendr Algorithm

Remote Sensing
Stability is a key characteristic for understanding ecosystem processes and evolution. However, research on the stability of complex ecosystems often faces limitations, such as reliance on single parameters and insufficient representation of continuous ...
Lijuan Li, Jiaqiang Du, Jin Wu, Zhilu Sheng, Xiaoqian Zhu, Zebang Song, Guangqing Zhai, Fangfang Chong   +7 more
doaj   +6 more sources

Monitoring shrub disturbance in the Qinghai–Tibet Plateau from 1990 to 2022 using the LandTrendr algorithm

Grassland Research
This study utilized the LandTrendr algorithm to monitor shrub disturbances on the Qinghai‐Tibet Plateau from 1990 to 2022. The findings indicate that climate, topography, and grazing are the primary drivers of shrub disturbances, providing valuable scientific evidence for ecological monitoring.
Chunchun An, YuanYuan Hao, Xuexia Liu, Zhe Meng, Yixuan Wang, Shengshen He, Caicheng Huang   +6 more
exaly   +4 more sources

Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm

Journal of Cleaner Production, 2018
The vegetation cover dynamics such as the spatial extent and pattern of disturbance and recovery are necessary information in mining regulation and environmental sustainability assessment. The acquisition and further analysis of these dynamics are hampered due to that the vegetation cover in mining area changes both spatially and temporally. This paper
Yongjun Yang, Peter D. Erskine, Alex Lechner, David Mulligan, Shaoliang Zhang, Zhenyu Wang   +5 more
core   +12 more sources

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.
Dean Qiu, Yunjian Liang, Rong Shang, Jing M. Chen   +3 more
doaj   +2 more sources

Long-term continuous changes of vegetation cover in desert oasis of a hyper-arid endorheic basin with LandTrendr algorithm

Ecological Indicators
Ecological water diversion projects (EWDP) is one of the most important initiatives for oases restoration in arid endorheic basins. Fine monitoring of the long-term and continuous changes in vegetation cover before and after the EWDP is important to ...
Qin Shen, Guangyao Gao, Yixuan Duan, Ling Chen   +3 more
doaj   +4 more sources

The Applicability of LandTrendr to Surface Water Dynamics: A Case Study of Minnesota from 1984 to 2019 Using Google Earth Engine

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
Audrey C. Lothspeich, Joseph F. Knight
doaj   +2 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.
Theodomir Mugiraneza, Andrea Nascetti, Yifang Ban   +2 more
doaj   +2 more sources

Monitoring forest gain and loss based on LandTrendr algorithm and Landsat images in KTH Pati social forestry area, Indonesia [PDF]

Journal of Applied and Natural Science, 2023
Social forestry schemes are now being implemented in numerous state forest areas in Indonesia, aiming to reduce deforestation and improve the community’s livelihood. However, spatial monitoring in the social forestry area is still limited to see how the implementation progresses. The present study aimed to identify the change of forest taking a case in
Deha Agus Umarhadi, Wahyu Wardhana, null Senawi, Emma Soraya   +3 more
openaire   +2 more sources