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A review of in-situ sampling protocols to support the remote sensing of vegetation

Authors: Burchard-Levine, Vicente; Riaño, David; Vilar del Hoyo, Lara; Martin, M. Pilar; Becerra Corral, Javier;

A review of in-situ sampling protocols to support the remote sensing of vegetation

Abstract

[ES] A pesar de la reconocida relevancia de los datos in situ para calibrar y/o validar adecuadamente los productos derivados de la teledetección, los problemas relacionados con la adquisición de datos de campo generalmente se pasan por alto y se abordan de forma deficiente. Existen pocas referencias específicas disponibles en la literatura que propongan o describan protocolos de campo para la observación in situ de rasgos vegetales relacionados con estudios de teledetección. Por ello, este artículo busca revisar los protocolos más relevantes disponibles en la literatura, incluyendo aquellos desarrollados a través de iniciativas internacionales, que abordan consideraciones de muestreo in situ de rasgos vegetales para la teledetección de vegetación y ecosistemas. Se diseñó una encuesta para comprender los principales protocolos y prácticas de adquisición de datos de campo que se aplican actualmente en diversas instituciones europeas que participan en la Red de Formación Innovadora Marie-Skłodowska Curie (ITN), denominada "Formación en Teledetección para la Modificación de Ecosistemas" (TRuStEE). También se discuten consideraciones generales para diseños experimentales de muestreo de campo, incluyendo cuestiones espaciales y de escalamiento desde el nivel de campo hasta el nivel de píxel, caracterizaciones estacionales y fenológicas, gestión de datos y especificidades de los ecosistemas. El objetivo general es proporcionar una evaluación integrada de los problemas generales y las buenas prácticas que deben considerarse para diseñar un protocolo de campaña de campo adecuado para apoyar la teledetección de la vegetación.

[EN] In spite of the recognized relevance of in-situ data to properly calibrate and/or validate remote sensing derived products, issues related to field data acquisitions are generally overlooked and poorly addressed. There are only a few specific references available in the literature that propose or describe field protocols for in-situ plant trait observations related to remote sensing studies. As such, this article aims to review the most relevant protocols available in the literature, including those developed through international initiatives, which discuss in-situ sampling considerations of plant traits for the remote sensing of vegetation and ecosystems. A survey was designed to gain an understanding of the main field acquisition protocols and practices currently being applied in various European institutions participating in the Marie-Skłodowska Curie Innovative Training Network (ITN) named ‘Training on Remote Sensing for Ecosystem ModElling’ (TRuStEE). We also discuss general considerations for experimental designs of field sampling, including spatial/scaling issues from the field to pixel level, seasonal and phenological characterizations, data management and ecosystem specificities. The overall aim is to provide an integrated assessment of the general issues and good practices that need to be considered to design an adequate field campaign protocol to support the remote sensing of vegetation.

The research received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie TRuStEE project (grant agreement No 721995). It was also funded by the Spanish Ministry of Science through the BIOSPEC CGL2008-02301 project and the Ministry of Economy and Competitiveness through FLUXPEC CGL2012-34383 and SynerTGE CGL2015-G9095-R (MINECO/FEDER, UE) projects. The research infrastructure at the measurement site in Majadas de Tiétar was partly funded through the Alexander von Humboldt Foundation, ELEMENTAL (CGL2017-83538-C3-3-R, MINECO-FEDER) and IMAGINA (PROMETEU 2019; Generalitat Valenciana)

Peer reviewed

Keywords

Plant traits, Datasets, Field data, Remote sensing, Protocols

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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