[HTML][HTML] Fifty years of Landsat science and impacts

MA Wulder, DP Roy, VC Radeloff, TR Loveland… - Remote Sensing of …, 2022 - Elsevier
Since 1972, the Landsat program has been continually monitoring the Earth, to now provide
50 years of digital, multispectral, medium spatial resolution observations. Over this time …

A review of machine learning applications in wildfire science and management

P Jain, SCP Coogan, SG Subramanian… - Environmental …, 2020 - cdnsciencepub.com
Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …

Significant increase in natural disturbance impacts on European forests since 1950

M Patacca, M Lindner, ME Lucas‐Borja… - Global change …, 2023 - Wiley Online Library
Over the last decades, the natural disturbance is increasingly putting pressure on European
forests. Shifts in disturbance regimes may compromise forest functioning and the continuous …

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 …

Remote sensing in forestry: current challenges, considerations and directions

FE Fassnacht, JC White, MA Wulder… - … An International Journal …, 2024 - academic.oup.com
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …

Map** the forest disturbance regimes of Europe

C Senf, R Seidl - Nature Sustainability, 2021 - nature.com
Abstract Changes in forest disturbances can have strong impacts on forests, yet we lack
consistent data on Europe's forest disturbance regimes and their changes over time. Here …

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 …

[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review

C Gómez, JC White, MA Wulder - ISPRS Journal of photogrammetry and …, 2016 - Elsevier
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …

[HTML][HTML] Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve map** outcomes

T Hermosilla, MA Wulder, JC White… - Remote Sensing of …, 2022 - Elsevier
Deriving land cover from remotely sensed data is fundamental to many operational map**
and reporting programs as well as providing core information to support science activities …

Land cover 2.0

MA Wulder, NC Coops, DP Roy, JC White… - … Journal of Remote …, 2018 - Taylor & Francis
Interest in knowing more about the Earth's land cover and how it has changed over time
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …