Results 91 to 100 of about 358 (155)

Testing temporal transferability of remote sensing models for large area monitoring

Science of Remote Sensing
Applying remote sensing models outside the temporal range of their training data, referred to as temporal model transfer, has become common practice for large area monitoring projects that extrapolate models for hindcasting or forecasting to time periods
Steven K. Filippelli, Karen Schleeweis, Mark D. Nelson, Patrick A. Fekety, Jody C. Vogeler   +4 more
doaj   +1 more source

Tracking lake drainage events and drained lake basin vegetation dynamics across the Arctic. [PDF]

Nat Commun, 2023
Chen Y, Cheng X, Liu A, Chen Q, Wang C.
europepmc   +1 more source

Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing

International Journal of Applied Earth Observations and Geoinformation
Impervious surfaces are important indicators of human activity, and finding ways to quantify the gain and loss of impervious surfaces is important for sustainable urban development. However, most relevant studies assume that the transformation of natural
Xiao Zhang, Liangyun Liu, Wenhan Zhang, Linlin Guan, Ming Bai, Tingting Zhao, Zhehua Li, Xidong Chen   +7 more
doaj   +1 more source

High-resolution maps show that rubber causes substantial deforestation. [PDF]

Nature, 2023
Wang Y, Hollingsworth PM, Zhai D, West CD, Green JMH, Chen H, Hurni K, Su Y, Warren-Thomas E, Xu J, Ahrends A.   +10 more
europepmc   +1 more source

30-Year Dynamics of Vegetation Loss in China’s Surface Coal Mines: A Comparative Evaluation of CCDC and LandTrendr Algorithms

Sustainability
Large-scale vegetation loss induced by surface coal mining constitutes a critical driver of regional ecological degradation. However, the applicability of existing change detection methodologies based on remote sensing within complex mining areas under diverse climatic conditions remains systematically unverified.
Wanxi Liu, Yaling Xu, Huizhen Xie, Han Zhang, Li Guo, Jun Li, Chengye Zhang   +6 more
openaire   +1 more source

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

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   +1 more source

The effect of farmland on the surface water of the Aral Sea Region using Multi-source Satellite Data. [PDF]

PeerJ, 2022
Shi J, Guo Q, Zhao S, Su Y, Shi Y.
europepmc   +1 more source

Ecological Effect of Ecological Engineering Projects on Low-Temperature Forest Cover in Great Khingan Mountain, China. [PDF]

Int J Environ Res Public Health, 2021
Wang S, Zhong R, Liu L, Zhang J.
europepmc   +1 more source

Incorporation of historical disturbance identified with landtrendr algorithm for land cover mapping In Malaysia [PDF]

In Malaysia, land area under oil palm plantation has been increasing. Meanwhile voluntary measures to improve sustainability of palm oil production have been introduced including regulation of land conversion to oil palm plantations. The objective of this project is to assess the utility of Google Earth Engine with the LandTrendr algorithm for ...
openaire  

Vegetation grows more luxuriantly in Arctic permafrost drained lake basins. [PDF]

Glob Chang Biol, 2021
Chen Y, Liu A, Cheng X.
europepmc   +1 more source