Prospect inversion for indirect estimation of leaf dry matter content and specific leaf area

Ali, Abebe Mohammed; Darvishzadeh, Roshanak; Skidmore, Andrew K.; Duren, Iris van; Heiden, Uta; Heurich, Marco

doi:10.5194/isprsarchives-xl-7-w3-277-2015

Cited by 7 publications

(4 citation statements)

References 49 publications

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“…campaigns assisted for reasonable parameterisation of the model. The obtained result is in line with earlier findings by Yuan et al (2015) and Ali et al (2015) who demonstrated the effect of stand characteristics on INFORM simulated canopy reflectance. In general, a close match was observed between the measured and simulated reflectance spectra of RapidEye and Sentinel-2 in the visible, and the red-edge region where the average absolute errors (AAE) were below 0.02 for both sensors (Fig.…”

Section: Discussionsupporting

confidence: 92%

Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model

Darvishzadeh

Skidmore

Abdullah

et al. 2019

International Journal of Applied Earth Observation and Geoinfor

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Leaf chlorophyll plays an essential role in controlling photosynthesis, physiological activities and forest health. In this study, the performance of Sentinel-2 and RapidEye satellite data and the Invertible Forest Reflectance Model (INFORM) radiative transfer model (RTM) for retrieving and mapping of leaf chlorophyll content in the Norway spruce (Picea abies) stands of a temperate forest was evaluated. Biochemical properties of leaf samples as well as stand structural characteristics were collected in two subsequent field campaigns during July 2015 and 2016 in the Bavarian Forest National Park (BFNP), Germany, parallel with the timing of the RapidEye and Sentinel-2 images. Leaf chlorophyll was measured both destructively and nondestructively using wet chemical spectrophotometry analysis and a hand-held chlorophyll content meter. The INFORM was utilised in the forward mode to generate two lookup tables (LUTs) in the spectral band settings of RapidEye and Sentinel-2 data using information obtained from the field campaigns. Before generating the LUTs, the sensitivity of the model input parameters to the spectral data from RapidEye and Sentinel-2 were examined. The canopy reflectance of the studied plots were obtained from the satellite images and used as input for the inversion of LUTs. The coefficient of determination (R 2), root mean square errors (RMSE), and the normalised root mean square errors (NRMSE), between the retrieved and measured leaf chlorophyll, were then used to examine the attained results from RapidEye and Sentinel-2 data, respectively. The use of multiple solutions and spectral subsets for the inversion process were further investigated to enhance the retrieval accuracy of foliar chlorophyll. The result of the sensitivity analysis demonstrated that the simulated canopy reflectance of Sentinel-2 is sensitive to the alternation of all INFORM input parameters, while the simulated canopy reflectance from RapidEye did not show sensitivity to leaf water content variations. In general, there was agreement between the simulated and measured reflectance spectra from RapidEye and Sentinel-2, particularly in the visible and red-edge regions. However, examining the average absolute error from the simulated and measured reflectance revealed a large discrepancy in spectral bands around the near-infrared shoulder. The relationship between retrieved and measured leaf chlorophyll content from the Sentinel-2 data had a higher coefficient of determination with a higher NRMSE (NRMSE = 0.36 μg/cm 2 , R 2 = 0.45) compared to those obtained using the RapidEye data (NRMSE = 0.31 μg/ cm 2 and R 2 = 0.39). Using the mean of the ten best solutions (retrieved chlorophyll) the retrieval error for both Sentinel-2 and RapidEye data decreased (NRMSE = 0.34, NRMSE = 0.26, respectively), as compared to only selecting the single best solution. When the Sentinel-2 red edge bands were used as the spectral subset, the retrieval error of leaf chlorophyll decreased indicating the importance of red edge, as well as properly located spec...

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Section: Discussionsupporting

confidence: 92%

Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model

Darvishzadeh

Skidmore

Abdullah

et al. 2019

International Journal of Applied Earth Observation and Geoinfor

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“…At last, we calculated the leaf dry matter dividing the dry weight (mg) of a leaf by its water-saturated fresh weight (g) (Ali et al 2015).…”

Section: Collection Of Functional Characteristicsmentioning

confidence: 99%

Does the presence of exotic species decrease the initial development of native species in Brazilian seasonally dry tropical forests?

et al. 2022

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We assessed the impacts of the biological invasion of Azadirachta indica on the quality of plant species native to a Seasonally Dry Tropical Forest. We planted Amburana cearensis, Libidibia ferrea, Mimosa caesalpiniifolia, and Cenostigma pyramidale individuals alone and interacting with the exotic species. We measured their diameters at ground level and heights for four months, calculating their monthly and general average. After this period, seedlings were destroyed to obtain their number of leaves, leaf area, specific leaf area, length and primary root area, wood density, wood dry matter, leaf dry matter, shoot dry matter, primary root dry matter, secondary root dry matter, root system dry matter, and total dry matter. The presence of the exotic species affected the functional characteristics of native species in different ways. We observed negative effects in M. caesalpiniifolia and A. cearensis, positive effects in C. pyramidale, and mixed effects in L. ferrea. In addition, we identified conflicting demands between pairs of characteristics of the interacting species A. cearensis and M. caesalpiniifolia. Based on the results, it is possible to conclude that A. indica decreases the quality of individuals of most native species studied, which may have consequences for their establishment and the local biodiversity.

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“…The ProSAIL model is widely used in agricultural (Ali et al, 2015;Richter et al, 2009;Vuolo et al, 2010) and ecological studies (Feilhauer et al, 2018;Punalekar et al, 2018). Although considerable high accuracies in parameter retrieval are found in literature, ProSAIL is a relatively simple 2-D model.…”

Section: The Prosail Radiative Transfer Modelmentioning

confidence: 99%

OBIA4RTM – towards an operational open-source solution for coupling object-based image analysis with radiative transfer modelling

Graf

Papp

Lang

2020

European Journal of Remote Sensing

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Radiative transfer models (RTM) provide universally applicable, highly accurate prospects for plant parameter retrieval. Due to the ill-posed nature of radiative transfer theory, however, the retrieval of plant parameters requires sophisticated strategies for model inversion. We argue that object-based image analysis (OBIA) works as an effective regularization measure to cope with this ill-posedness. Despite similar findings reported in the literature, OBIA and RTM are rarely used in a combined manner. Additionally, there is a clear lack of software solutions ready for operational usage. Therefore, we propose OBIA4RTM as an approach to combine OBIA and RTM using Python and PostgreSQL/PostGIS spatial databases in a fully Open Geospatial Consortium (OGC) compliant way. First results obtained in agricultural regions in southern Germany and Austria using Sentinel-2 data during the 2017 and 2018 growing season show root mean squared errors (RMSE) in the leaf area index (LAI) of 1.47 m²/m² in the case of silage maize and 1.31 m²/m² in the case of winter cereals. Issues of integrating space and time as well as defining appropriate validation strategies, however, require further research.

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Prospect inversion for indirect estimation of leaf dry matter content and specific leaf area

Cited by 7 publications

References 49 publications

Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model

Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model

Does the presence of exotic species decrease the initial development of native species in Brazilian seasonally dry tropical forests?

OBIA4RTM – towards an operational open-source solution for coupling object-based image analysis with radiative transfer modelling

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