Remotely sensed thermal decay rate: an index for vegetation monitoring.

S S Kumar, L Prihodko, B M Lind, J Anchang, W Ji, C W Ross, M N Kahiu, N M Velpuri, N P Hanan

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In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Prediction of Crop Yield Using Phenological Information Extracted from Remote Sensing Vegetation Index.Sensors (Basel, Switzerland) · 2021
Article

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5 · Who and what money

Authors and funding

9 authors.

S S KumarASRC Federal Data Solutions contractor to U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, SD 57198, USA. ssathyachandran@contractor.usgs.gov.

L PrihodkoDepartment of Animal and Range Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.

B M LindDepartment of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.

J AnchangDepartment of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.

W JiDepartment of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.

C W RossDepartment of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.

M N KahiuInternational Livestock Research Institute (ILRI), PO Box 30709, Nairobi, 00100, Kenya.

N M VelpuriInternational Water Management Institute, 127 Sunil Mawatha, Pelawatte, Battaramulla, Colombo, Sri Lanka.

N P HananDepartment of Animal and Range Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vegetation buffers local diurnal land surface temperatures, however, this effect has found limited applications for remote vegetation characterization. In this work, we parameterize diurnal temperature variations as the thermal decay rate derived by using satellite daytime and nighttime land surface temperatures and modeled using Newton's law of cooling. The relationship between the thermal decay rate and vegetation depends on many factors including vegetation type, size, water content, location, and local conditions. The theoretical relationships are elucidated, and empirical relationships are presented. Results show that the decay rate summarizes both vegetation structure and function and exhibits a high correlation with other established vegetation-related observations. As proof of concept, we interpret 15-year spatially explicit trends in the annual thermal decay rates over Africa and discuss results. Given recent increases in availability of finer spatial resolution satellite thermal measurements, the thermal decay rate may be a useful index for monitoring vegetation.

Identifiers

PMID32555210

DOI10.1016/j.ijheatmasstransfer.2012.03.035

PMCPMC7299984

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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.