ReviewGlobal change biology2022
Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications.
Review in Global change biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Decoding plant volatile stress signals across scales: from molecular responses to ecosystem dynamics.Frontiers in plant science · 2026Review
- An Enhanced Phenology Dataset for Global Drylands from 2001 to 2019.Scientific data · 2025Article
- Impact of the urban atmospheric environment on otolaryngologic disease outpatient visits in Lanzhou, China.Scientific reports · 2025Article
- Assessment of Suitable Habitats and Identification of Key Protection Areas forLife (Basel, Switzerland) · 2025Article
- Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau.Sensors (Basel, Switzerland) · 2025Article
- Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications.Global change biology · 2022Review
- Continued spring phenological advance under global warming hiatus over the Pan-Third Pole.Frontiers in plant science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 for models to accurately simulate the exchange of carbon, water, and energy between the vegetated land surface and the atmosphere. Remote sensing has advanced the monitoring of vegetation phenology by providing spatially and temporally continuous data that together with conventional ground observations offers a unique contribution to our knowledge about the environmental impact on ecosystems as well as the ecological adaptations and feedback to global climate change. Land surface phenology (LSP) is defined as the use of satellites to monitor seasonal dynamics in vegetated land surfaces and to estimate phenological transition dates. LSP, as an interdisciplinary subject among remote sensing, ecology, and biometeorology, has undergone rapid development over the past few decades. Recent advances in sensor technologies, as well as data fusion techniques, have enabled novel phenology retrieval algorithms that refine phenology details at even higher spatiotemporal resolutions, providing new insights into ecosystem dynamics. As such, here we summarize the recent advances in LSP and the associated opportunities for science applications. We focus on the remaining challenges, promising techniques, and emerging topics that together we believe will truly form the very frontier of the global LSP research field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.