Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses

Kobayashi, Hideki; Suzuki, Rikie; Kobayashi, S.

doi:10.1016/j.rse.2006.08.011

Cited by 68 publications

(48 citation statements)

References 38 publications

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“…If the Root Mean Square Error (RMSE) is taken into account as a measure of agreement between the reflectances found, August 3 rd fits best with the measurements found by the two other studies, even though for example both September 1 st and October 12 th are closer to DOY 266, where the data from Kajisa et al (2007) are measured. The smallest difference with a deviation of only 4 % is found for the NDVI on August 3 rd compared to the NDVI found by Kobayashi et al (2007) …”

Section: Resultsmentioning

confidence: 55%

“…The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12-19 July 2016, Prague, Czech Republic As the terrain shadow parametrization method is the only method producing continuously physically reasonable results, Kobayashi et al (2007) for Landsat 7 (LS7) Enhanced Thematic Mapper Plus (ETM+) and Larix gmelinii on DOY 170 and the values found by Kajisa et al (2007) for Landsat 5 Thematic Mapper (TM) and Larix kaempferi on DOY 266. An asterisk means that the value was calculated from the found band spectral values in the study.…”

Section: Resultsmentioning

confidence: 99%

“…publication. Kobayashi et al (2007) performed a radiative transfer analysis including an overpass of Landsat 7 ETM+ on DOY 170 for an area in Siberia with Larix gmelinii (Siberian larch). As no details are given in the publication, values were read from the diagrams, here.…”

Section: Resultsmentioning

confidence: 99%

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Comprehensive Spectral Signal Investigation of a Larch Forest Combining Ground- And Satellite-Based Measurements

Landmann¹,

Rutzinger²,

Bremer³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Collecting comprehensive knowledge about spectral signals in areas composed by complex structured objects is a challenging task in remote sensing. In the case of vegetation, shadow effects on reflectance are especially difficult to determine. This work analyzes a larch forest stand (Larix decidua MILL.) in Pinnis Valley (Tyrol, Austria). The main goal is extracting the larch spectral signal on Landsat 8 (LS8) Operational Land Imager (OLI) images using ground measurements with the Cropscan Multispectral Radiometer with five bands (MSR5) simultaneously to satellite overpasses in summer 2015. First, the relationship between field spectrometer and OLI data on a cultivated grassland area next to the forest stand is investigated. Median ground measurements for each of the grassland parcels serve for calculation of the mean difference between the two sensors. Differences are used as "bias correction" for field spectrometer values. In the main step, spectral unmixing of the OLI images is applied to the larch forest, specifying the larch tree spectral signal based on corrected field spectrometer measurements of the larch understory. In order to determine larch tree and shadow fractions on OLI pixels, a representative 3D tree shape is used to construct a digital forest. Benefits of this approach are the computational savings compared to a radiative transfer modeling. Remaining shortcomings are the limited capability to consider exact tree shapes and nonlinear processes. Different methods to implement shadows are tested and spectral vegetation indices like the Normalized Difference Vegetation Index (NDVI) and Greenness Index (GI) can be computed even without considering shadows.

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Section: Resultsmentioning

confidence: 55%

Section: Resultsmentioning

confidence: 99%

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Comprehensive Spectral Signal Investigation of a Larch Forest Combining Ground- And Satellite-Based Measurements

Landmann¹,

Rutzinger²,

Bremer³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Currently, there is only a limited understanding of reflectance seasonality and its driving factors at forest stand level: seasonal reflectance variation has preliminarily been linked to changes in stand structure (e.g. Kobayashi et al, 2007;Kodani et al, 2002;Nilson et al, 2008;Rautiainen et al, 2009;Suviste et al, 2007) or variation in leaf spectra resulting from, for example, climaticelevational factors and site quality (e.g. Richardson & Berlyn, 2002;Richardson et al, 2003).…”

Section: Seasonal Reflectance Changes In Satellite Imagesmentioning

confidence: 99%

“…Based on empirical reflectance data and radiative transfer modelling, Kobayashi et al (2007) reported that seasonal changes in a larch forest understory (or forest floor) influence both the absolute values of reflectance and seasonal reflectance trajectories even if the LAI of the tree layer remains constant. Next, Nilson et al (2008) and Suviste et al (2007) reported that in sparse stands (e.g.…”

Section: Seasonal Forest Reflectance Modelingmentioning

confidence: 99%

Seasonal Reflectance Courses of Forests

Nilson¹,

Rautiainen²,

Písek³

et al. 2012

New Advances and Contributions to Forestry Research

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Retrieval of seasonal dynamics of forest understory reflectance from semiarid to boreal forests using MODIS BRDF data

et al. 2016

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Spatial and temporal patterns of forest background (understory) reflectance are crucial for retrieving biophysical parameters of forest canopies (overstory) and subsequently for ecosystem modeling. In this communication, we retrieved seasonal courses of understory normalized difference vegetation index (NDVI) from multiangular Moderate Resolution Imaging Spectroradiometer bidirectional reflectance distribution function (MODIS BRDF)/albedo data. We compared satellite‐based seasonal courses of understory NDVI to understory NDVI values measured in different types of forests distributed along a wide latitudinal gradient (65.12°N–31.35°N). Our results indicated that the retrieval method performs well particularly over open forests of different types. We also demonstrated the limitations of the method for closed canopies, where the understory signal retrieval is much attenuated.

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Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses

Cited by 68 publications

References 38 publications

Comprehensive Spectral Signal Investigation of a Larch Forest Combining Ground- And Satellite-Based Measurements

Comprehensive Spectral Signal Investigation of a Larch Forest Combining Ground- And Satellite-Based Measurements

Seasonal Reflectance Courses of Forests

Retrieval of seasonal dynamics of forest understory reflectance from semiarid to boreal forests using MODIS BRDF data

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