Evidence map›Paper›PMID 36081897›Full record

ArticleInternational journal of applied earth observation and geoinformation : ITC journal2020

Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India.

Sanjiv K Sinha, Hitendra Padalia, Anindita Dasgupta, Jochem Verrelst, Juan Pablo Rivera

Open access · hybridAbstract read
In one paragraph

Article in International journal of applied earth observation and geoinformation : ITC journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

5 citing papers in PubMed, 88 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Sanjiv K SinhaIndian Institute of Remote Sensing, Indian Space Research Organisation (ISRO), 4-Kalidas Road, Dehradun, 248001, Uttarakhand, India.
Hitendra PadaliaIndian Institute of Remote Sensing, Indian Space Research Organisation (ISRO), 4-Kalidas Road, Dehradun, 248001, Uttarakhand, India.
Anindita DasguptaIndian Institute of Remote Sensing, Indian Space Research Organisation (ISRO), 4-Kalidas Road, Dehradun, 248001, Uttarakhand, India.
Jochem VerrelstImage Processing Laboratory (IPL), Parc Científic, Universitat de Valéncia, 46980 Paterna, Valéncia, Spain.
Juan Pablo RiveraConacyt-UAN-CENiT2 Centro Nayarita de Innovación y transferencia de tecnologia, Calle 3 esquina con Av. 9 /n colonia Ciudad Industrial, 63173 Tepic, Nayarit, Mexico.
Indian Space Research Organisation · INIndian Institute of Remote Sensing · INParc Científic de la Universitat de València · ESUniversidad Tecnológica de Nayarit · MX

Funding

European Research Council 755617
6 · The paper itself

Abstract

Forests play a vital role in biological cycles and environmental regulation. To understand the key processes of forest canopies (e.g., photosynthesis, respiration and transpiration), reliable and accurate information on spatial variability of Leaf Area Index (LAI), and its seasonal dynamics is essential. In the present study, we assessed the performance of biophysical parameter (LAI) retrieval methods

Indexed as

Leaf area indexRadiative transfer model Sentinel-2Vegetation indices

Identifiers

PMID36081897
PMCPMC7613355
OpenAlexW2990165672

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.