Evidence map›Paper›PMID 42515455›Full record

ArticleSensors (Basel, Switzerland)2026

Evaluation of Five Evapotranspiration Products and Driving Factors over the Plateau and Plains of China.

Wei Fu, Bo-Hui Tang, Changjun Deng, Xinming Zhu, Zhongxi Ge, Junyi Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wei FuYunnan Key Laboratory of Quantitative Remote Sensing/Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards, Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.ORCID 0009-0000-7548-5071
Bo-Hui TangYunnan Key Laboratory of Quantitative Remote Sensing/Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards, Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.ORCID 0000-0002-1918-5346
Changjun DengYunnan Key Laboratory of Quantitative Remote Sensing/Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards, Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.
Xinming ZhuYunnan Key Laboratory of Quantitative Remote Sensing/Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards, Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.ORCID 0000-0002-9256-5644
Zhongxi GeYunnan Key Laboratory of Quantitative Remote Sensing/Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards, Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.ORCID 0000-0002-7671-3723
Junyi ChenYunnan Key Laboratory of Quantitative Remote Sensing/Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards, Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.ORCID 0000-0001-8428-9259

Funding

Ministry-Provincial Cooperation Pilot Project 2023ZRBSHZ048National Natural Science Foundation of China 42230109Research on Key Technologies for Intelligent Rural Governance in Western Mountainous Regions 2025YFHZ0293Yunling Scholar Project of the Xingdian Talent Support Program of Yunnan Province 202221002Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards 202403AP140002
6 · The paper itself

Abstract

Evapotranspiration (ET) plays a pivotal role in the water and energy cycles, yet the accuracy of ET products and their driving mechanisms varies significantly across complex topographies. This study systematically evaluates five ET products and investigates their driving mechanisms across the Tibetan Plateau (TP), the Yunnan-Guizhou Plateau (YGP), and the lowlands of China. The results show that, while ET products generally achieve higher accuracy in lowlands, the PML_V2 and ETMonitor demonstrate superior performance and sensitivity in the challenging plateau environments. Distinct regional heterogeneity was observed: the TP is dominated by thermal radiation factors, the YGP is constrained by both thermal and moisture conditions, and the lowlands are driven by the synergistic interaction of thermal, moisture, and vegetation factors. Unlike previous studies, which often treat these regions homogeneously, this work highlights the critical necessity of region-specific model selection to mitigate uncertainties arising from terrain changes. These findings advance understanding of ET discrepancies, facilitate the selection of appropriate ET products, promote model optimization in ET retrieval research, and enhance water management and hydrological modeling under varying topographical conditions.

Indexed as

driving factorsevapotranspirationplainplateauremote sensing

Identifiers

PMID42515455
PMCPMC13417009

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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.