ArticleScientific reports2019
Monitoring tropical forest carbon stocks and emissions using Planet satellite data.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed.
- Managed rainforests support higher carbon density and sequestration in the Congo Basin.Nature communications · 2026Article
- Quantifying carbon stock and tree community composition in tropical forests through combining satellite and UAV analyses.Scientific reports · 2026Article
- Integrating satellite data and field surveys to predict bird communities in the Peruvian Amazon.PloS one · 2026Article
- Prediction of Water Quality Parameters in the Paraopeba River Basin Using Remote Sensing Products and Machine Learning.Sensors (Basel, Switzerland) · 2025Article
- Two Novel Cloud-Masking Algorithms Tested in a Tropical Forest Setting Using High-Resolution NICFI-Planet Basemaps.Sensors (Basel, Switzerland) · 2025Article
- Species diversity estimation in a typical tropical forest: which phenological stage and spatial resolution are suitable?Frontiers in plant science · 2025Article
- Simplifying drone-based aboveground carbon density measurements to support community forestry.PloS one · 2025Article
- Forest Carbon Reserve Calculation and Comprehensive Economic Value Evaluation: A Forest Management Model Based on Both Biomass Expansion Factor Method and Total Forest Value.International journal of environmental research and public health · 2022Article
- Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery.Remote sensing in ecology and conservation · 2022Article
- A Simple and Robust Spectral Index for Identifying Lodged Maize Using Gaofen1 Satellite Data.Sensors (Basel, Switzerland) · 2022Article
- Big trees drive forest structure patterns across a lowland Amazon regrowth gradient.Scientific reports · 2021Article
- Near-real time aboveground carbon emissions in Peru.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tropical forests are crucial for mitigating climate change, but many forests continue to be driven from carbon sinks to sources through human activities. To support more sustainable forest uses, we need to measure and monitor carbon stocks and emissions at high spatial and temporal resolution. We developed the first large-scale very high-resolution map of aboveground carbon stocks and emissions for the country of Peru by combining 6.7 million hectares of airborne LiDAR measurements of top-of-canopy height with thousands of Planet Dove satellite images into a random forest machine learning regression workflow, obtaining an R
Identifiers
What OpenQuestion holds
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.