Demystifying LandTrendr and CCDC temporal segmentation

VJ Pasquarella, P Arévalo, KH Bratley… - International journal of …, 2022 - Elsevier
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 …

[HTML][HTML] What is going on within google earth engine? A systematic review and meta-analysis

P Pérez-Cutillas, A Pérez-Navarro… - … Society and environment, 2023 - Elsevier
Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …

[HTML][HTML] Automatic monitoring of surface water dynamics using Sentinel-1 and Sentinel-2 data with Google Earth Engine

Z Chen, S Zhao - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Dynamic monitoring of floods is important for water resource management and disaster
prevention. Obtaining multitemporal surface water distribution maps using remote sensing …

Map** of ecological environment based on Google earth engine cloud computing platform and landsat long-term data: A case study of the zhoushan archipelago

C Chen, L Wang, G Yang, W Sun, Y Song - Remote Sensing, 2023 - mdpi.com
In recent years, with the rapid advancement of China's urbanization, the contradiction
between urban development and the ecological environment has become increasingly …

Monitoring shifting cultivation in Laos with Landsat time series

S Chen, P Olofsson, T Saphangthong… - Remote Sensing of …, 2023 - Elsevier
Shifting cultivation is an agricultural practice in which plots of land are cultivated temporarily,
then abandoned, and vegetation is allowed to regenerate during fallow periods. Shifting …

Continuous map** of aboveground biomass using Landsat time series

P Arévalo, A Baccini, CE Woodcock, P Olofsson… - Remote Sensing of …, 2023 - Elsevier
Aboveground biomass (AGB) is an essential variable in the study of the carbon cycle, and
remote sensing provides the only viable means for map** and monitoring biomass at …

Cloud-based storage and computing for remote sensing big data: a technical review

C Xu, X Du, X Fan, G Giuliani, Z Hu… - … Journal of Digital …, 2022 - Taylor & Francis
The rapid growth of remote sensing big data (RSBD) has attracted considerable attention
from both academia and industry. Despite the progress of computer technologies …

A global land cover training dataset from 1984 to 2020

R Stanimirova, K Tarrio, K Turlej, K McAvoy… - Scientific Data, 2023 - nature.com
State-of-the-art cloud computing platforms such as Google Earth Engine (GEE) enable
regional-to-global land cover and land cover change map** with machine learning …

[HTML][HTML] Human activities dominate a staged degradation pattern of coastal tidal wetlands in Jiangsu province, China

H Wang, Y Zhou, J Wu, C Wang, R Zhang, X **ong… - Ecological …, 2023 - Elsevier
The tidal wetlands in Jiangsu Province (JS) play a crucial role as a major blue carbon sink in
the eastern coastal area of China. These wetlands also contribute significantly function to …

Review of drivers of forest degradation and deforestation in Southeast Asia

S Chen, C Woodcock, L Dong, K Tarrio… - Remote Sensing …, 2024 - Elsevier
Abstract Even though Southeast Asia is a hotspot of forest degradation and deforestation,
thorough reviews of the drivers of forest degradation and deforestation are lacking in the …