Mapping understory plant communities in deciduous forests from Sentinel-2 time series
Understory plant communities are an integral component of deciduous forests, playing a
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with …
Crop phenology has been widely detected from multiple historical satellite observations.
Conversely, Near-Real-Time (NRT) monitoring of crop progress from timely available remote …
Conversely, Near-Real-Time (NRT) monitoring of crop progress from timely available remote …
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Accurate and timely crop phenology is essential for efficient crop management and precise
modelling of crop yield and productivity. It has been commonly mapped from moderate or …
modelling of crop yield and productivity. It has been commonly mapped from moderate or …
From satellite-based phenological metrics to crop planting dates: Deriving field-level planting dates for corn and soybean in the US Midwest
Abstract Information on planting dates is crucial for modeling crop development, analyzing
crop yield, and evaluating the effectiveness of policy-driven planting windows. Despite their …
crop yield, and evaluating the effectiveness of policy-driven planting windows. Despite their …
Assessing the consistency of crop leaf area index derived from seasonal Sentinel-2 and Landsat 8 imagery over Manitoba, Canada
To take full advantage of cloud-free optical remote sensing data for crop leaf area index
(LAI) retrieval throughout the growing season, integration of multi-sensor satellite data is …
(LAI) retrieval throughout the growing season, integration of multi-sensor satellite data is …
Land surface phenology retrieval through spectral and angular harmonization of Landsat-8, Sentinel-2 and Gaofen-1 data
Land Surface Phenology is an important characteristic of vegetation, which can be
informative of its response to climate change. However, satellite-based identification of …
informative of its response to climate change. However, satellite-based identification of …
Long-term vegetation responses to climate depend on the distinctive roles of rewilding and traditional grazing systems
Context The abandonment of traditional practices has transformed agro-pastoral systems,
leading to a more frequent occurrence of passive rewilding of Mediterranean landscapes …
leading to a more frequent occurrence of passive rewilding of Mediterranean landscapes …
Reconstruction of seamless harmonized Landsat Sentinel-2 (HLS) time series via self-supervised learning
Abstract The Harmonized Landsat Sentinel-2 (HLS) data, harmonizing Landsat-8/9 and
Sentinel-2 imagery, offers frequent 30 m resolution multispectral observations but is often …
Sentinel-2 imagery, offers frequent 30 m resolution multispectral observations but is often …
Stability in time and consistency between atmospheric corrections: Assessing the reliability of Sentinel-2 products for biodiversity monitoring in tropical forests
Earth observation satellite imagery is increasingly accessible, and has become a key
component for vegetation mapping and monitoring. Sentinel-2 satellites acquire optical …
component for vegetation mapping and monitoring. Sentinel-2 satellites acquire optical …
A modified shape model incorporating continuous accumulated growing degree days for phenology detection of early rice
Using a shape model (SM) is a typical method to determine the phenological phases of
crops with long-time-series satellite remote sensing data. The average AGDD-based shape …
crops with long-time-series satellite remote sensing data. The average AGDD-based shape …