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] 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 …

A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery

DP Roy, H Huang, R Houborg, VS Martins - Remote Sensing of …, 2021 - Elsevier
Abstract The PlanetScope CubeSat constellation is providing unprecedented global
coverage, visible to near infrared, atmospherically corrected, 3 m imagery. The revisit …

Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network

F Waldner, FI Diakogiannis - Remote sensing of environment, 2020 - Elsevier
Applications of digital agricultural services often require either farmers or their advisers to
provide digital records of their field boundaries. Automatic extraction of field boundaries from …

[HTML][HTML] Global validation of the collection 6 MODIS burned area product

L Boschetti, DP Roy, L Giglio, H Huang… - Remote sensing of …, 2019 - Elsevier
This paper presents a Stage 3 validation of the recently released Collection 6 NASA
MCD64A1 500 m global burned area product. The product is validated by comparison with …

Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine

JM Deines, AD Kendall, MA Crowley, J Rapp… - Remote Sensing of …, 2019 - Elsevier
Understanding how irrigated areas change over time is vital to effectively manage limited
agricultural water resources, but long-term, high-resolution, and spatially explicit datasets …

The Landsat Burned Area algorithm and products for the conterminous United States

TJ Hawbaker, MK Vanderhoof, GL Schmidt… - Remote Sensing of …, 2020 - Elsevier
Complete and accurate burned area map data are needed to document spatial and
temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and …

The Swiss data cube, analysis ready data archive using earth observations of Switzerland

B Chatenoux, JP Richard, D Small, C Roeoesli… - Scientific data, 2021 - nature.com
Since the opening of Earth Observation (EO) archives (USGS/NASA Landsat and EC/ESA
Sentinels), large collections of EO data are freely available, offering scientists new …

[HTML][HTML] Conterminous United States Landsat-8 top of atmosphere and surface reflectance tasseled cap transformation coefficients

Y Zhai, DP Roy, VS Martins, HK Zhang, L Yan… - Remote Sensing of …, 2022 - Elsevier
The tasseled cap transformation (TCT) has been widely used to decompose satellite multi-
spectral information into “brightness”,“greenness”, and “wetness” components. Published …

Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach

L Yan, DP Roy - Remote Sensing of Environment, 2020 - Elsevier
Statistical time series models are increasingly being used to fit medium resolution time
series provided by satellite sensors, such as Landsat, for terrestrial monitoring. Cloud and …