A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

L Zeng, BD Wardlow, D Xiang, S Hu, D Li - Remote Sensing of …, 2020 - Elsevier
Vegetation dynamics and phenology play an important role in inter-annual vegetation
changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions …

High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms

X Jin, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

[HTML][HTML] A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud …

P Teluguntla, PS Thenkabail, A Oliphant… - ISPRS journal of …, 2018 - Elsevier
Mapping high resolution (30-m or better) cropland extent over very large areas such as
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …

[HTML][HTML] Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

J Xiong, PS Thenkabail, MK Gumma… - ISPRS Journal of …, 2017 - Elsevier
The automation of agricultural mapping using satellite-derived remotely sensed data
remains a challenge in Africa because of the heterogeneous and fragmental landscape …

[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] Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring

Y Sadeh, X Zhu, D Dunkerley, JP Walker… - International Journal of …, 2021 - Elsevier
Abstract The dynamics of Leaf Area Index (LAI) from space is key to identify crop types and
their phenology over large areas, and to characterize spatial variations within growers' …

[HTML][HTML] ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products

Y Luo, Z Zhang, Y Chen, Z Li… - Earth System Science …, 2020 - essd.copernicus.org
Crop phenology provides essential information for monitoring and modeling land surface
phenology dynamics and crop management and production. Most previous studies mainly …

Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages

A Mercier, J Betbeder, J Baudry, V Le Roux… - ISPRS Journal of …, 2020 - Elsevier
In the global context of population growth and climate change, monitoring crops is
necessary to sustain agriculture and conserve natural resources. While many studies have …

Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data

G Zhang, X Xiao, J Dong, W Kou, C Jin, Y Qin… - ISPRS Journal of …, 2015 - Elsevier
Abstract Knowledge of the area and spatial distribution of paddy rice is important for
assessment of food security, management of water resources, and estimation of greenhouse …