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 map** land
cover has received significant scientific interest in the past two decades. The advancing of …

Remote sensing of mangrove forest phenology and its environmental drivers

J Pastor-Guzman, J Dash, PM Atkinson - Remote sensing of environment, 2018 - Elsevier
Mangrove forest phenology at the regional scale have been poorly investigated and its
driving factors remain unclear. Multi-temporal remote sensing represents a key tool to …

The optimal threshold and vegetation index time series for retrieving crop phenology based on a modified dynamic threshold method

X Huang, J Liu, W Zhu, C Atzberger, Q Liu - Remote Sensing, 2019 - mdpi.com
Crop phenology is an important parameter for crop growth monitoring, yield prediction, and
growth simulation. The dynamic threshold method is widely used to retrieve vegetation …

Map** Brazilian savanna vegetation gradients with Landsat time series

M Schwieder, PJ Leitão… - International journal of …, 2016 - Elsevier
Global change has tremendous impacts on savanna systems around the world. Processes
related to climate change or agricultural expansion threaten the ecosystem's state, function …

植被物候参数遥感提取与验证方法研究进展

王敏钰, 罗毅, 张**阳, 谢巧云, 吴小丹, 马轩龙 - 遥感学报, 2022 - ygxb.ac.cn
在气候变化背景下, 植被物候作为生态系统对环境变化响应的直接体现方式, 日益受到学界关注.
获取长期, 连续, 多尺度的植被物候数据是物候研究的基础, 而利用卫星遥感手段获取的物候参数 …

Delineation of orchard, vineyard, and olive trees based on phenology metrics derived from time series of Sentinel-2

MA Abubakar, A Chanzy, F Flamain, G Pouget… - Remote Sensing, 2023 - mdpi.com
This study aimed to propose an accurate and cost-effective analytical approach for the
delineation of fruit trees in orchards, vineyards, and olive groves in Southern France …

LiDAR derived topography and forest stand characteristics largely explain the spatial variability observed in MODIS land surface phenology

G Misra, A Buras, M Heurich, S Asam… - Remote Sensing of …, 2018 - Elsevier
In the past, studies have successfully identified climatic controls on the temporal variability of
the land surface phenology (LSP). Yet we lack a deeper understanding of the spatial …

Multiple UAV flights across the growing season can characterize fine scale phenological heterogeneity within and among vegetation functional groups

DJA Wood, TM Preston, S Powell, PC Stoy - Remote Sensing, 2022 - mdpi.com
Grasslands and shrublands exhibit pronounced spatial and temporal variability in structure
and function with differences in phenology that can be difficult to observe. Unpiloted aerial …

Spatiotemporal variability in start and end of growing season in China related to climate variability

Q Ge, J Dai, H Cui, H Wang - Remote Sensing, 2016 - mdpi.com
Satellite-derived vegetation phenophases are frequently used to study the response of
ecosystems to climate change. However, limited studies have identified the common …

Phenology-based classification of Sentinel-2 data to detect coastal mangroves

S Mahmud, M Redowan, R Ahmed, AA Khan… - Geocarto …, 2022 - Taylor & Francis
Precise categorization of mangrove forests with medium spatial resolution satellite data is
challenging and occasionally yields mixed outcomes. The available methods to estimate …