[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products

VC Radeloff, DP Roy, MA Wulder, M Anderson… - Remote Sensing of …, 2024‏ - Elsevier
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …

[HTML][HTML] A systematic review of landsat data for change detection applications: 50 years of monitoring the earth

MA Hemati, M Hasanlou, M Mahdianpari… - Remote sensing, 2021‏ - mdpi.com
With uninterrupted space-based data collection since 1972, Landsat plays a key role in
systematic monitoring of the Earth's surface, enabled by an extensive and free …

GLC_FCS30D: The first global 30-m land-cover dynamic monitoring product with a fine classification system from 1985 to 2022 using dense time-series Landsat …

X Zhang, T Zhao, H Xu, W Liu, J Wang… - Earth System …, 2023‏ - essd.copernicus.org
Land-cover change has been identified as an important cause or driving force of global
climate change and is a significant research topic. Over the past few decades, global land …

Current status of Landsat program, science, and applications

MA Wulder, TR Loveland, DP Roy, CJ Crawford… - Remote sensing of …, 2019‏ - Elsevier
Formal planning and development of what became the first Landsat satellite commenced
over 50 years ago in 1967. Now, having collected earth observation data for well over four …

A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies

L Yang, S **, P Danielson, C Homer, L Gass… - ISPRS journal of …, 2018‏ - Elsevier
Abstract The US Geological Survey (USGS), in partnership with several federal agencies,
has developed and released four National Land Cover Database (NLCD) products over the …

Remote sensing of land change: A multifaceted perspective

Z Zhu, S Qiu, S Ye - Remote Sensing of Environment, 2022‏ - Elsevier
The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …

Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications

Z Zhu - ISPRS Journal of Photogrammetry and Remote …, 2017‏ - Elsevier
The free and open access to all archived Landsat images in 2008 has completely changed
the way of using Landsat data. Many novel change detection algorithms based on Landsat …

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 …

Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

K Zhao, MA Wulder, T Hu, R Bright, Q Wu, H Qin… - Remote sensing of …, 2019‏ - Elsevier
Satellite time-series data are bolstering global change research, but their use to elucidate
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …

Spatio-temporal data mining: A survey of problems and methods

G Atluri, A Karpatne, V Kumar - ACM Computing Surveys (CSUR), 2018‏ - dl.acm.org
Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …