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] 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] 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 …

A near real-time deep learning approach for detecting rice phenology based on UAV images

Q Yang, L Shi, J Han, J Yu, K Huang - Agricultural and Forest Meteorology, 2020 - Elsevier
Near real-time crop phenology detection is essential for crop management, estimation of
harvest time and yield estimation. Previous approaches to crop phenology detection have …

Estimating natural grassland biomass by vegetation indices using Sentinel 2 remote sensing data

M Guerini Filho, TM Kuplich… - International Journal of …, 2020 - Taylor & Francis
Estimation of natural grassland biomass was carried out in a region located in the Brazilian
Pampa, using field and remote sensing data and statistical models. The study was …

10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations

C Zhao, CZ Qin - ISPRS Journal of Photogrammetry and Remote …, 2020 - Elsevier
China has lost 50% of its mangroves since the 1950s, while the remaining mangroves are
exhibiting an increase in fragmentation. While a detailed mangrove map of China derived …

Sentinel-1 time series data for monitoring the phenology of winter wheat

M Schlund, S Erasmi - Remote sensing of environment, 2020 - Elsevier
The potential of time series metrics based on optical sensors for monitoring of crops and
their phenological stages has long been recognized. SAR (synthetic aperture radar) sensors …

Change detection techniques based on multispectral images for investigating land cover dynamics

DR Panuju, DJ Paull, AL Griffin - Remote Sensing, 2020 - mdpi.com
Satellite images provide an accurate, continuous, and synoptic view of seamless global
extent. Within the fields of remote sensing and image processing, land surface change …