Review of optical-based remote sensing for plant trait mapping

Homolová, Lucie; Malenovský, Zbyněk; Clevers, J.G.P.W.; García-Santos, Glenda; Schaepman, Michael E.

doi:10.1016/j.ecocom.2013.06.003

Cited by 326 publications

(322 citation statements)

References 215 publications

(8 reference statements)

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“…1). These three subregions are composed of (1) the photosynthetically active region (400-700 nm PAR), in which photosynthetic pigments, namely chlorophylls a and b, strongly absorb light; (2) the near-infrared region (700-1,400 nm), in which healthy plant tissue is highly reflective; and (3) the shortwave infrared region (1,400-2,500 nm), in which water and biomolecules contribute to reflectance characteristics (Jones and Vaughan, 2010;Homolová et al, 2013). In addition to these regions, thermal infrared, typically 8 to 13 mm when used for remote sensing, can provide information about canopy temperature (Jones, 2004).…”

mentioning

confidence: 99%

The quest for understanding phenotypic variation via integrated approaches in the field environment

et al. 2016

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confidence: 99%

The quest for understanding phenotypic variation via integrated approaches in the field environment

et al. 2016

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“…The interactions between solar radiation and plant canopies are extremely complex and determine the amount of radiant energy that is absorbed, reflected or transmitted by plants and therefore the fraction available to the processes of photosynthesis and evapotranspiration. The spectral behavior of plant canopies depends, on one hand, on the canopy elements and, on the other hand, on their spatial organization (Homolová et al, 2013). However, vegetation spectral behavior is predominantly a function of the spectral properties of the leaves (Daughtry and Walthall, 1998).…”

Section: Basis Of Remote Sensing Approachmentioning

confidence: 99%

“…These facts allow the remote sensing of plant phenology. Vegetation reflectance is primarily a function of the optical properties of leaves, but also of other canopy elements (nonphotosynthetic elements such as branches and trunks), canopy architecture (leaf and stem orientation, foliage clumping), background reflectance, illumination conditions, viewing geometry and atmospheric influence (Baret and Guyot, 1991;Asner, 1998;Huete et al, 1999;Gao et al, 2000;Homolová et al, 2013). Even when leaf spectral properties remain constant, the spectral signature of vegetation varies as the architectural arrangement of plant components changes and also the proportion of soil and plants (Pinter et al, 2003).…”

Section: Phenologymentioning

confidence: 99%

Remote sensing in food production and #8211; a review

Calvão

Pessoa

2015

Emir. J. Food Agric

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FAO's most recent assessments indicate that, globally, in 2011-13, about one in eight people in the world are likely to have suffered from chronic hunger, not having adequate food supplies for an active and healthy life. Food security crises are now caused, almost exclusively, by problems in access to food, not absolute food availability, but, monitoring agricultural production remains fundamental. Traditional ground-based systems of production estimation have many limitations which have restricted their use. However, remotely sensed satellite data offer timely, objective, economical, and synoptic information for crop monitoring. The objective of this paper is to review the contribution of remote sensing techniques in the classification, monitoring of crop phenology and condition and estimation of production.

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“…In contrast, imaging spectroscopy is a well-established, continuously advancing technology capable of monitoring terrestrial plant functional biodiversity in a way that is vastly richer and more sensitive than other remote sensing techniques 22,27,28 . It captures environmental information at extremely fine spectral resolution by simultaneously mapping the reflectance and emission of light from the Earth's surface in hundreds of narrow spectral bands, producing essentially continuous spectra from the visible to infrared wavelengths 29 .…”

Section: The World's Ecosystems Are Losing Biodiversity Fast a Satelmentioning

confidence: 99%

“…Data on plant productivity, phenology, land-cover and other environmental parameters from MODIS and Landsat satellites currently serve as reasonably effective covariates for spatiotemporal biodiversity models based on in situ data 12,20,26 . However, the coarse spectral resolution of current satellite-borne sensors has so far prevented a more direct capture of biodiversity, and correlative models are limited by the above-mentioned data gaps.In contrast, imaging spectroscopy is a well-established, continuously advancing technology capable of monitoring terrestrial plant functional biodiversity in a way that is vastly richer and more sensitive than other remote sensing techniques 22,27,28 . It captures environmental information at extremely fine spectral resolution by simultaneously mapping the reflectance and emission of light from the Earth's surface in hundreds of narrow spectral bands, producing essentially continuous spectra from the visible to infrared wavelengths 29 .…”

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Erratum: Monitoring plant functional diversity from space

Jetz¹,

Cavender‐Bares²,

Pavlick³

et al. 2016

Nature Plants

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The world's ecosystems are losing biodiversity fast. A satellite mission designed to track changes in plant functional diversity around the globe could deepen our understanding of the pace and consequences of this change and how to manage it.The ability to view Earths' vegetation from space is a hallmark of the space age. Yet decades of satellite measurements have provided relatively little insight into the immense diversity of form and function in the plant kingdom in space and time. Humans are rapidly impacting biodiversity around the globe 1,2 , leading to the loss of ecosystem function 3 , and the goods and services they provide 4,5 . Recognizing the gravity of this threat, the international community has committed to urgent action to halt biodiversity loss [6][7][8][9] .Ecosystem processes [10][11][12] are often directly linked to the functional biodiversity of plants, that is, to a wide range of plant chemical, physiological and structural properties, connected to the uptake, use and allocation of resources. The functional biodiversity of plants varies in space and time and across scales of biological organization. Capturing and understanding this variation is vitally important for tracking the status and resilience of Earth's ecosystems, and for predicting how our ecological life support systems will function in the future.We currently lack consistent, repeated, high-resolution global-scale data on the functional biodiversity of the Earth's vegetation 2,10-12 . However, the technological tools, informatics infrastructure, theoretical basis, and analytical capability now exist to produce this essential data. Here we suggest that this capability is utilized in a satellite mission supporting a Global Biodiversity Observatory, that tracks temporal changes in plant functional traits across the globe to fill critical knowledge gaps, aid in the assessment of global environmental change, and improve predictions of future change. The continuous, global coverage in space and time such a mission would provide has the potential to transform basic and applied science on diversity and function, and to pave the way to a more mechanistically detailed representation of the terrestrial biosphere in Earth system models.The data and knowledge gap Plant functional biodiversity encompasses the wide-ranging variation in the chemical physiological and morphological properties of plants, such as the concentration of metabolites and nonstructural carbohydrates in leaves and the ratio of leaf mass to leaf area. These attributes are related functionally to the uptake, allocation and use of resources, such as carbon and nutrients, within the plant, and to defense against pests and environmental stresses.Functional properties vary within and among individuals (for instance as determined by the position of a leaf on a plant, or a tree in a forest), populations, species and communities, and may be measured at any of these levels of biological organization. With increasing spatial scale (and thus decreasing spatial resolution of measurem...

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Review of optical-based remote sensing for plant trait mapping

Cited by 326 publications

References 215 publications

The quest for understanding phenotypic variation via integrated approaches in the field environment

The quest for understanding phenotypic variation via integrated approaches in the field environment

Remote sensing in food production and #8211; a review

Erratum: Monitoring plant functional diversity from space

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