Remote sensing of phenology: Towards the comprehensive indicators of plant community dynamics from species to regional scales

I Dronova, S Taddeo - Journal of Ecology, 2022 - Wiley Online Library
Remote sensing of vegetation phenology has long been used to characterize ecosystem
functions and responses to climate at spatial and temporal scales unfeasible to field surveys …

Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite …

EF Berra, R Gaulton - Forest Ecology and Management, 2021 - Elsevier
Vegetation phenology is the study of recurring plant life cycle stages, seasonality which is
linked to many ecosystem processes and is an important proxy of climate and environmental …

[HTML][HTML] Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)

L Huo, HJ Persson, E Lindberg - Remote Sensing of Environment, 2021 - Elsevier
The European spruce bark beetle (Ips typographus [L.]) is one of the most damaging pest
insects of European spruce forests. A crucial measure in pest control is the removal of …

[HTML][HTML] Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and-2

M Meroni, R d'Andrimont, A Vrieling… - Remote sensing of …, 2021 - Elsevier
The frequent acquisitions of fine spatial resolution imagery (10 m) offered by recent
multispectral satellite missions, including Sentinel-2, can resolve single agricultural fields …

Recurrent-based regression of Sentinel time series for continuous vegetation monitoring

A Garioud, S Valero, S Giordano, C Mallet - Remote Sensing of …, 2021 - Elsevier
Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …

[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 …

Combination of sentinel-1 and sentinel-2 data for tree species classification in a central European biosphere reserve

M Lechner, A Dostálová, M Hollaus, C Atzberger… - Remote Sensing, 2022 - mdpi.com
Microwave and optical imaging methods react differently to different land surface parameters
and, thus, provide highly complementary information. However, the contribution of individual …

Crop NDVI monitoring based on sentinel 1

R Filgueiras, EC Mantovani, D Althoff… - Remote Sensing, 2019 - mdpi.com
Monitoring agricultural crops is necessary for decision-making in the field. However, it is
known that in some regions and periods, cloud cover makes this activity difficult to carry out …

A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8

EP dos Santos, DD da Silva, CH do Amaral… - … and electronics in …, 2022 - Elsevier
A way to reconstruct optical sensor-derived images allowing cloud-free vegetation
monitoring is proposed in this paper. The motivation is the influence that clouds have on …

European wide forest classification based on sentinel-1 data

A Dostálová, M Lang, J Ivanovs, LT Waser, W Wagner - Remote Sensing, 2021 - mdpi.com
The constellation of two Sentinel-1 satellites provides an unprecedented coverage of
Synthetic Aperture Radar (SAR) data at high spatial (20 m) and temporal (2 to 6 days over …