Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities

Z Gong, W Ge, J Guo, J Liu - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Vegetation phenology serves as a crucial indicator of ecosystem dynamics and its response
to environmental cues. Against the backdrop of global climate warming, it plays a pivotal role …

[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] 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 …

[HTML][HTML] Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe

F Tian, Z Cai, H **, K Hufkens, H Scheifinger… - Remote Sensing of …, 2021 - Elsevier
Vegetation phenology obtained from time series of remote sensing data is relevant for a
range of ecological applications. The freely available Sentinel-2 imagery at a 10 m spatial …

Spatiotemporal image fusion in remote sensing

M Belgiu, A Stein - Remote sensing, 2019 - mdpi.com
In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These
methods fuse temporally sparse fine-resolution images with temporally dense coarse …