Results 21 to 30 of about 763 (163)

Comparative Global Assessment and Optimization of LandTrendr, CCDC, and BFAST Algorithms for Enhanced Urban Land Cover Change Detection Using Landsat Time Series

Remote Sensing
The rapid expansion of urban areas necessitates effective monitoring systems for sustainable development planning. Time-series change detection algorithms applied to satellite imagery offer promising solutions, but their comparative effectiveness ...
Taku Murakami, Narumasa Tsutsumida
doaj   +2 more sources

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   +2 more sources

Extraction of Building Construction Time Using the LandTrendr Model With Monthly Landsat Time Series Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting building construction time is crucial for effective land resource management and sustainable urban development, particularly in fast-growing urban areas.
Tengyun Hu, Meng Zhang, Xuecao Li, Tinghai Wu, Qiwei Ma, Jianneng Xiao, Xieqin Huang, Jinchen Guo, Yangchun Li, Donglie Liu   +9 more
doaj   +2 more sources

Using LandTrendr to analyze forest disturbance, recovery, and attribution in Hunan province from 2001 to 2024

Ecological Indicators
Forest dynamics monitoring is an important basis for assessing the stability of regional ecosystems and formulating sustainable management strategies, and forest evolution patterns under the interaction of frequent human activities and natural disturbances in subtropical regions have not been fully revealed.
Panlin Cao, Zhuo Zang, Meng Zhang, Xu Wang, Xian Tang, Jiahong Xiang, Shu Tang, Jing Wang, Yanan Zhang   +8 more
openaire   +3 more sources

Harmonizing Terrestrial Carbon Cycle Observations Over CONUS NEON Sites: Assessing the Information Contributions of Multiple Data Constraints. [PDF]

Glob Chang Biol
The 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, Li Q, Helgeson A, Serbin SP, Dietze M.   +4 more
europepmc   +2 more sources

Improving forest loss mapping in Nepal using LandTrendr time-series and machine learning

Remote Sensing Applications: Society and Environment
Peer ...
Sakar Dhakal, Kamal Raj Aryal, Uttam Babu Shrestha, Hari Adhikari   +3 more
openaire   +3 more sources

Mapeamento da perda de vegetação por urbanização na Barra da Tijuca (1984-2024) com o algoritmo LandTrendr e séries temporais Landsat [PDF]

Coleção Estudos Cariocas
A detecção de mudanças em áreas naturais é essencial para sua preservação. Este estudo avaliou o desflorestamento associado à urbanização na Barra da Tijuca (RJ), utilizando o algoritmo LandTrendr em séries temporais de imagens Landsat (1985 - 2024).
Matheus Augusto de Souza, Debora da Paz Gomes Brandão Ferraz   +1 more
doaj   +2 more sources

Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr

Remote Sensing of Environment, 2022
Abstract Permafrost is warming globally which leads to widespread permafrost thaw. Particularly ice-rich permafrost is vulnerable to rapid thaw and erosion, impacting whole landscapes and ecosystems. Retrogressive thaw slumps (RTS) are abrupt permafrost disturbances that expand by several meters each year and lead to an increased soil organic carbon ...
Alexandra Runge, Ingmar Nitze, Guido Grosse   +2 more
openaire   +4 more sources

Spatial-temporal dynamics of transboundary forest disturbance-recovery and its influencing factors in the central Himalayas

Geocarto International, 2023
Transboundary forests in the Himalayas are one of the world’s biodiversity hotspots, but exploring the patterns and influencing factors related to forest disturbance-recovery is still limited.
Bohao Cui, Yili Zhang, Linshan Liu, Changjun Gu, Zhaofeng Wang, Bo Wei, Dianqing Gong   +6 more
doaj   +1 more source

Object-based change detection for vegetation disturbance and recovery using Landsat time series

GIScience & Remote Sensing, 2022
Accurate characterization of historical trends in vegetation change at the landscape scale is necessary for resource management and ecological assessment. Vegetation disturbance and recovery are coherent spatial and temporal processes. Pixel-based change
Zheng Wang, Caiyong Wei, Xiangnan Liu, Lihong Zhu, Qin Yang, Qinyu Wang, Qian Zhang, Yuanyuan Meng   +7 more
doaj   +1 more source