Status of phenological research using Sentinel-2 data: A review

G Misra, F Cawkwell, A Wingler - Remote Sensing, 2020 - mdpi.com
Remote sensing of plant phenology as an indicator of climate change and for mapping land
cover has received significant scientific interest in the past two decades. The advancing of …

[HTML][HTML] National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series

D Frantz, F Schug, A Okujeni, C Navacchi… - Remote Sensing of …, 2021 - Elsevier
Urban areas and their vertical characteristics have a manifold and far-reaching impact on
our environment. However, openly accessible information at high spatial resolution is still …

FORCE—Landsat+ Sentinel-2 analysis ready data and beyond

D Frantz - Remote Sensing, 2019 - mdpi.com
Ever increasing data volumes of satellite constellations call for multi-sensor analysis ready
data (ARD) that relieve users from the burden of all costly preprocessing steps. This paper …

[HTML][HTML] Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2

Y Cheng, A Vrieling, F Fava, M Meroni… - Remote sensing of …, 2020 - Elsevier
The short revisit times afforded by recently-deployed optical satellite sensors that acquire 3–
30 m resolution imagery provide new opportunities to study seasonal vegetation dynamics …

[HTML][HTML] Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island

A Vrieling, M Meroni, R Darvishzadeh… - Remote sensing of …, 2018 - Elsevier
Remote sensing studies of vegetation phenology increasingly benefit from freely available
satellite imagery acquired with high temporal frequency at fine spatial resolution. Particularly …

[HTML][HTML] National tree species mapping using Sentinel-1/2 time series and German National Forest Inventory data

L Blickensdörfer, K Oehmichen, D Pflugmacher… - Remote Sensing of …, 2024 - Elsevier
Spatially explicit and detailed information on tree species composition is critical for forest
management, nature conservation and the assessment of forest ecosystem services. In …

[HTML][HTML] Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series

K Kowalski, A Okujeni, M Brell, P Hostert - Remote Sensing of Environment, 2022 - Elsevier
Severe droughts caused unprecedented impacts on grasslands in Central Europe in 2018
and 2019. Yet, spatially varying drought impacts on grasslands remain poorly understood as …

[HTML][HTML] Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with …

F Schug, D Frantz, A Okujeni, S van Der Linden… - Remote Sensing of …, 2020 - Elsevier
The increasing impact of humans on land and ongoing global population growth requires an
improved understanding of land cover (LC) and land use (LU) processes related to …

Assessing combinations of Landsat, Sentinel-2 and Sentinel-1 time series for detecting bark beetle infestations

S König, F Thonfeld, M Förster, O Dubovyk… - GIScience & Remote …, 2023 - Taylor & Francis
Bark beetle infestations are among the most substantial forest disturbance agents
worldwide. Moreover, as a consequence of global climate change, they have increased in …

Comparison of masking algorithms for sentinel-2 imagery

V Zekoll, M Main-Knorn, K Alonso, J Louis, D Frantz… - Remote Sensing, 2021 - mdpi.com
Masking of clouds, cloud shadow, water and snow/ice in optical satellite imagery is an
important step in automated processing chains. We compare the performance of the …