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 …

Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis

S Chen, CE Woodcock, EL Bullock, P Arévalo… - Remote Sensing of …, 2021 - Elsevier
Current estimates of forest degradation are associated with large uncertainties. However,
recent advancements in the availability of remote sensing data (eg, the free data policies of …

Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series

X Yang, Z Zhu, S Qiu, KD Kroeger, Z Zhu… - Remote Sensing of …, 2022 - Elsevier
Coastal tidal wetlands are highly altered ecosystems exposed to substantial risk due to
widespread and frequent land-use change coupled with sea-level rise, leading to disrupted …

Time series analysis for global land cover change monitoring: A comparison across sensors

L Xu, M Herold, NE Tsendbazar, D Masiliūnas… - Remote Sensing of …, 2022 - Elsevier
Comparing the performance of different satellite sensors in global land cover change (LCC)
monitoring is necessary to assess their potential and limitations for more accurate and …

Integrating GEDI and Landsat: Spaceborne lidar and four decades of optical imagery for the analysis of forest disturbances and biomass changes in Italy

S Francini, G D'Amico, E Vangi, C Borghi, G Chirici - Sensors, 2022 - mdpi.com
Forests play a prominent role in the battle against climate change, as they absorb a relevant
part of human carbon emissions. However, precisely because of climate change, forest …

Satellite image time series analysis for big earth observation data

R Simoes, G Camara, G Queiroz, F Souza… - Remote Sensing, 2021 - mdpi.com
The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …

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 …

Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat

MA Friedl, CE Woodcock, P Olofsson, Z Zhu… - Frontiers in Remote …, 2022 - frontiersin.org
Land cover maps are essential for characterizing the biophysical properties of the Earth's
land areas. Because land cover information synthesizes a rich array of information related to …

Detecting subpixel human settlements in mountains using deep learning: A case of the Hindu Kush Himalaya 1990–2020

THK Chen, B Pandey, KC Seto - Remote Sensing of Environment, 2023 - Elsevier
The majority of future population growth in mountains will occur in small-and medium-sized
cities and towns and affect vulnerable ecosystems. However, mountain settlements are often …