Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications

X Ma, X Zhu, Q Xie, J Jin, Y Zhou, Y Luo… - Global change …, 2022 - Wiley Online Library
Vegetation phenology has been viewed as the nature's calendar and an integrative indicator
of plant‐climate interactions. The correct representation of vegetation phenology is important …

Indicators of water use efficiency across diverse agroecosystems and spatiotemporal scales

DL Hoover, LJ Abendroth, DM Browning, A Saha… - Science of the Total …, 2023 - Elsevier
Understanding the relationship between water and production within and across
agroecosystems is essential for addressing several agricultural challenges of the 21st …

Solar-induced chlorophyll fluorescence captures photosynthetic phenology better than traditional vegetation indices

J Zhang, A Gonsamo, X Tong, J Xiao… - ISPRS Journal of …, 2023 - Elsevier
Accurate characterization of plant phenology is of great importance for monitoring global
carbon, water, and energy cycling. Remotely sensed satellite observations have been …

PhenoCam: An evolving, open-source tool to study the temporal and spatial variability of ecosystem-scale phenology

AD Richardson - Agricultural and Forest Meteorology, 2023 - Elsevier
Over the last twenty years, phenology—the study of seasonal life cycle events—has
emerged as a key subfield of global change biology. Phenology provides an integrated …

Fulfilling the promise of digital tools to build rangeland resilience

BT Bestelmeyer, SE McCord… - Frontiers in Ecology …, 2024 - Wiley Online Library
The world's rangelands and drylands are undergoing rapid change, and consequently are
becoming more difficult to manage. Big data and digital technologies (digital tools) provide …

Ten best practices for effective phenological research

RB Primack, AS Gallinat, ER Ellwood… - International Journal of …, 2023 - Springer
The number and diversity of phenological studies has increased rapidly in recent years.
Innovative experiments, field studies, citizen science projects, and analyses of newly …

Towards routine mapping of crop emergence within the season using the Harmonized Landsat and Sentinel-2 dataset

F Gao, MC Anderson, DM Johnson, R Seffrin… - Remote Sensing, 2021 - mdpi.com
Crop emergence is a critical stage for crop development modeling, crop condition
monitoring, and biomass accumulation estimation. Green-up dates (or the start of the …

TAVIs: Topographically adjusted vegetation index for a reliable proxy of gross primary productivity in mountain ecosystems

X Xie, W Zhao, G Yin - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Remotely sensed (RS) vegetation indices (VIs) are increasingly being employed as a direct
proxy for gross primary productivity (GPP). When estimating mountain vegetation GPP from …

Classification of daily crop phenology in phenocams using deep learning and hidden markov models

SD Taylor, DM Browning - Remote Sensing, 2022 - mdpi.com
Near-surface cameras, such as those in the PhenoCam network, are a common source of
ground truth data in modelling and remote sensing studies. Despite having locations across …

PhenoNet: A two-stage lightweight deep learning framework for real-time wheat phenophase classification

R Zhang, S Jin, Y Zhang, J Zang, Y Wang, Q Li… - ISPRS Journal of …, 2024 - Elsevier
The real-time monitoring of wheat phenology variations among different varieties and their
adaptive responses to environmental conditions is essential for advancing breeding efforts …