Potentials and limits of vegetation indices for LAI and APAR assessment

Baret, Frédéric; Guyot, G.

doi:10.1016/0034-4257(91)90009-u

Cited by 1,582 publications

(833 citation statements)

References 52 publications

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“…Experimental relationships are useful in estimating C H and can use remotely sensed data. For example, several studies have successfully determined surface LAI values from normalized difference vegetation index (NDVI) data [Baret and Guyot, 1991;Gamon et al, 1993;Carlson and Ripley, 1997].…”

Section: Effect Of Canopy Construction On Seasonal Variation In C Hmentioning

confidence: 99%

Controls on evapotranspiration in a west Siberian bog

et al. 2004

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[1] This study analyzed controls on evapotranspiration (E) from a western Siberian bog, from a perspective that surface constraints limit the E available for atmospheric evapotranspiration demands. Ratios of E to potential evapotranspiration (E P ) ranged from 0.2 to 0.9, and were clearly related to changes in surface constraints represented by the bulk transfer coefficient for latent heat C E (= bC H where b is the surface moisture availability and C H is the bulk transfer coefficient for sensible heat). Both E P and equilibrium evaporation (E EQ ) showed similar seasonal trends, suggesting the importance of radiation to the seasonal variation of E P . The atmospheric drying power (E a ) was a minor factor in E P and showed less seasonal change during most of the growing season. However, the presence of a dry air mass caused by synoptic scale advection (most frequently observed in May 1999) significantly enhanced E a ; consequently, the seasonal maximum of E P occurred earlier than the seasonal maximum of E EQ . Values for C H (0.004-0.011) increased with leaf area index except Sphagnum moss (LAI g ), indicating that vegetation growth contributes to changes in bog roughness through canopy height changes. The b value gradually decreased with decreases in the water table position (z wt ); the open water surface area and water content of Sphagnum moss depended on z wt . Furthermore, the absence of a significant relationship between b and phenology implies that changes in evaporation contribute to variations in E more than changes in transpiration. Hence roughness change created by vegetation growth and surface wetness limit evapotranspiration to less than the potential evapotranspiration.

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Section: Effect Of Canopy Construction On Seasonal Variation In C Hmentioning

confidence: 99%

Controls on evapotranspiration in a west Siberian bog

et al. 2004

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“…Radiometric measurement with hand-held or ground-based equipment has provided valuable information in effective wavelength bands, basic model structures and model parameters for estimating agronomic information (Milton et al, 2009). Reflectance measurement in the visible and near infrared wavelengths using the sun as the light source has been widely studied to assess chlorophyll, nitrogen, leaf area, and biomass of various major crops including soy, sorghum, wheat, corn and paddy rice (e.g., Holben et al, 1980;Richardson et al, 1982;Asrar et al, 1985;Baret and Guyot, 1991;Daughtry et al, 2000;Takahashi et al, 2000;Zhu et al, 2007). Several researchers have been measuring reflectance spectra on the ground to use the detected crop status directly for farm management (Horio et al, 2004).…”

mentioning

confidence: 99%

Estimating Paddy Rice Leaf Area Index with Fixed Point Continuous Observation of Near Infrared Reflectance Using a Calibrated Digital Camera

Shibayama

Sakamoto

Takada

et al. 2011

Plant Production Science

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“…NDVI is the most widely used index for analysis of vegetation and crops (Kriegler et al 1969;Baret and Guyot 1991;Serra and Pons 2013), and in this study it was computed from bands 3 and 4. The SAVI index minimizes influence of the soil on reflectance, helping to dissociate spectral response of the soil from vegetation in discontinuous covers (Huete 1988;Baret and Guyot 1991;Serra and Pons 2013); in this study it was computed from bands 3 and 4, using a value of 0.5 for the L constant. Finally, the NDWI index, based on the NDWI₃ proposed by Ouma and Tateishi (2006) as (B5−B4)/(B5 + B4), was calculated.…”

Section: Vegetation and Moisture Indicesmentioning

confidence: 99%

Developing spatially and thematically detailed backdated maps for land cover studies

Vidal-Macua

Zabala

Ninyerola

et al. 2016

International Journal of Digital Earth

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Global or regional land cover change on a decadal time scale can be studied at a high level of detail using the availability of remote sensing data such as that provided by Landsat. However, there are three main technical challenges in this goal. First, the generation of land cover maps without reference data is problematic (backdating). Second, it is important to maintain high accuracies in land cover change map products, requiring a reasonably rich legend within each map. Third, a high level of automation is necessary to aid the management of large volumes of data. This paper describes a robust methodology for processing time series of satellite data over large spatial areas. The methodology includes a retrospective analysis used for the generation of training and test data for historical periods lacking reference information. This methodology was developed in the context of research on global change in the Iberian Peninsula. In this study we selected two scenes covering geographic regions that are representative of the Iberian Peninsula. For each scene, we present the results of two classifications (1985-1989 and 2000-2004 quinquennia), each with a legend of 13 categories. An overall accuracy of over 92% was obtained for all 4 maps. ARTICLE HISTORY

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Potentials and limits of vegetation indices for LAI and APAR assessment

Cited by 1,582 publications

References 52 publications

Controls on evapotranspiration in a west Siberian bog

Controls on evapotranspiration in a west Siberian bog

Estimating Paddy Rice Leaf Area Index with Fixed Point Continuous Observation of Near Infrared Reflectance Using a Calibrated Digital Camera

Developing spatially and thematically detailed backdated maps for land cover studies

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