[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 …

Priority list of biodiversity metrics to observe from space

AK Skidmore, NC Coops, E Neinavaz, A Ali… - Nature ecology & …, 2021 - nature.com
Monitoring global biodiversity from space through remotely sensing geospatial patterns has
high potential to add to our knowledge acquired by field observation. Although a framework …

Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

J ** major land cover dynamics in Bei**g using all Landsat images in Google Earth Engine
H Huang, Y Chen, N Clinton, J Wang, X Wang… - Remote sensing of …, 2017 - Elsevier
Land cover in Bei**g experienced a dramatic change due to intensive human activities,
such as urbanization and afforestation. However, the spatial patterns of the dynamics are …

[HTML][HTML] Remote sensing of forest burnt area, burn severity, and post-fire recovery: A review

E Kurbanov, O Vorobev, S Lezhnin, J Sha, J Wang… - Remote Sensing, 2022 - mdpi.com
Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

[HTML][HTML] A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series

JC White, MA Wulder, T Hermosilla, NC Coops… - Remote Sensing of …, 2017 - Elsevier
In the context of complex demands on forest resources and climate change, synoptic and
spatially-explicit baseline data characterizing national trends in forest disturbance and …

Continuous change detection and classification of land cover using all available Landsat data

Z Zhu, CE Woodcock - Remote sensing of Environment, 2014 - Elsevier
A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …

[HTML][HTML] The Australian geoscience data cube—foundations and lessons learned

A Lewis, S Oliver, L Lymburner, B Evans… - Remote Sensing of …, 2017 - Elsevier
Abstract The Australian Geoscience Data Cube (AGDC) aims to realise the full potential of
Earth observation data holdings by addressing the Big Data challenges of volume, velocity …

Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+

AL Mitchell, A Rosenqvist, B Mora - Carbon balance and management, 2017 - Springer
Forest degradation is a global phenomenon and while being an important indicator and
precursor to further forest loss, carbon emissions due to degradation should also be …