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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
extent. Within the fields of remote sensing and image processing, land surface change …