A proposed methodology for the correction of the Leaf Area Index measured with a ceptometer for pinus and eucalyptus forests = Proposta de uma methodologia para a correcao do indice de area foliar medido pelo ceptometro em provoamentos de pinus e eucalyptus

Leaf area index (LAI) is an important parameter controlling many biological and physiological processes associated with vegetation on the Earth's surface, such as photosynthesis, respiration, transpiration, carbon and nutrient cycle and rainfall interception. LAI can be measured indirectly by sunfleck ceptometers in an easy and non-destructive way but this practical methodology tends to underestimated when measured by these instruments. Trying to correct this underestimation, some previous studies heave proposed the multiplication of the observed LAI value by a constant correction factor. The assumption of this work is LAI obtained from the allometric equations are not so problematic and can be used as a reference LAI to develop a new methodology to correct the ceptometer one. This new methodology indicates that the bias (the difference between the ceptometer and the reference LAI) is estimated as a function of the basal area per unit ground area and that bias is summed to the measured value. This study has proved that while the measured Pinus LAI needs a correction, there is no need for that correction for the Eucalyptus LAI. However, even for this last specie the proposed methodology gives closer estimations to the real LAI values

How to account for irrigation withdrawals in a watershed model

In agricultural areas, the downstream flow can be highly influenced by human activities during low-flow periods, especially during dam releases and irrigation withdrawals. Irrigation is indeed the major use of freshwater in the world. This study aims at precisely taking these factors into account in a watershed model. The Soil and Water Assessment Tool (SWAT+) agro-hydrological model was chosen for its capacity to model crop dynamics and management. Two different crop models were compared in terms of their ability to estimate water needs and actual irrigation. The first crop model is based on air temperature as the main determining factor for growth, whereas the second relies on high-resolution data from the Sentinel-2 satellite to monitor plant growth. Both are applied at the plot scale in a watershed of 800 km2 that is characterized by irrigation withdrawals. Results show that including remote sensing data leads to more realistic modeled emergence dates for summer crops. However, both approaches have proven to be able to reproduce the evolution of daily irrigation withdrawals throughout the year. As a result, both approaches allowed us to simulate the downstream flow with a good daily accuracy, especially during low-flow periods.</p

A leaf area index data set acquired in Sahelian rangelands of Gourma in Mali over the 2005–2017 period

The leaf area index of Sahelian rangelands and related variables such as the vegetation cover fraction, the fraction of absorbed photosynthetically active radiation and the clumping index were measured between 2005 and 2017 in the Gourma region of northern Mali. These variables, known as climate essential variables, were derived from the acquisition and the processing of hemispherical photographs taken along 1&thinsp;km linear sampling transects for five contrasted canopies and one millet field. The same sampling protocol was applied in a seasonally inundated Acacia open forest, along a 0.5&thinsp;km transect, by taking photographs of the understorey and the tree canopy. These observations collected over more than a decade, in a remote and not very accessible region, provide a relevant and unique data set that can be used for a better understanding of the Sahelian vegetation response to the current rainfall changes. The collected data can also be used for satellite product evaluation and land surface model development and validation. This paper aims to present the field work that was carried out during 13 successive rainy seasons, the measured vegetation variables, and the associated open database. Finally, a few examples of data use are shown. DOI of the referenced data set: https://doi.org/10.17178/AMMA-CATCH.CE.Veg_Gh.</p

Método para estimativa do IAF de árvores isoladas ou de plantações com dossel fechado

RESUMO Objetivou-se, com o presente trabalho, descrever e testar um método simplificado de baixo custo (IAF-LUX) para estimativa do índice de área foliar (IAF) em comparação com um equipamento comercial (LAI-2000, Li-Cor®). Ambos foram avaliados em um seringal e em árvores de lima ácida "Tahiti"; posteriormente, os dois métodos foram comparados com medidas destrutivas de área foliar realizadas em uma árvore adulta de lima ácida 'Tahiti'; notou-se, então, que os desvios dos resultados pelo IAF-LUX em relação aos do LAI-2000 foram no máximo de 7,4% na seringueira e de 3,6% em lima ácida "Tahiti". A estimativa da área foliar total utilizando-se o LAI 2000, mostrou boa concordância com as medidas diretas; resultados semelhantes foram obtidos com o IAF-LUX (5% de erro). Para as condições em que foi desenvolvido o trabalho os métodos com base em medida de radiação apresentaram boa precisão na estimativa da área foliar total das árvores de lima ácida, ficando patente que este método pode substituir vantajosamente as outras técnicas usadas, em comparação pelo baixo custo do equipamento, pela facilidade de operação no campo e análise dos dados.ABSTRACT This paper aimed to describe and evaluate a low-cost simplified method (IAF-LUX method) for leaf area index (LAI) estimation, in comparison with well-tested commercial equipment (LAI-2000, Li-Cor®), being both applied for a rubber tree plantation and for a 'Tahiti' acid lime orchard. Later, the results of the both methods were also compared with destructive measurements of leaf area carried out in other 'Tahiti' acid lime adult tree. Considering LAI-2000 as reference, the proposed IAF-LUX method showed deviations of 7.4% for rubber tree and 3.6% for acid lime 'Tahiti'. Comparing the IAF-LUX with destructive measurements, a deviation of 5.0% was observed in acid lime, while LAI-2000 showed deviation of 7.0%. Based on these results, it is concluded that the IAF-LUX method may be used for determining leaf area in the two species, replacing advantageously the other destructive or non-destructive techniques because it is of low cost, easily operated and non-destructive procedure

Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling

[Purpose of Review] We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiation–vegetation interactions related to vegetation temperature, leaf optical properties linked to pigment absorption and chlorophyll fluorescence emission, and of their capability to monitor vegetation health. Part 1 provides an overview of the main physiological indicators (PIs) applied in remote sensing to detect alterations in plant functioning linked to vegetation diseases and decline processes. Part 2 reviews the recent advances in the development of quantitative methods to assess PI through hyperspectral and thermal images.[Recent Findings] In recent years, the availability of high-resolution hyperspectral and thermal images has increased due to the extraordinary progress made in sensor technology, including the miniaturization of advanced cameras designed for unmanned aerial vehicle (UAV) systems and lightweight aircrafts. This technological revolution has contributed to the wider use of hyperspectral imaging sensors by the scientific community and industry; it has led to better modelling and understanding of the sensitivity of different ranges of the electromagnetic spectrum to detect biophysical alterations used as early warning indicators of vegetation health.[Summary] The review deals with the capability of PIs such as vegetation temperature, chlorophyll fluorescence, photosynthetic energy downregulation and photosynthetic pigments detected through remote sensing to monitor the early responses of plants to different stressors. Various methods for the detection of PI alterations have recently been proposed and validated to monitor vegetation health. The greatest challenges for the remote sensing community today are (i) the availability of high spatial, spectral and temporal resolution image data; (ii) the empirical validation of radiation–vegetation interactions; (iii) the upscaling of physiological alterations from the leaf to the canopy, mainly in complex heterogeneous vegetation landscapes; and (iv) the temporal dynamics of the PIs and the interaction between physiological changes.The authors received funding provided by the FluorFLIGHT (GGR801) Marie Curie Fellowship, the QUERCUSAT and ESPECTRAMED projects (Spanish Ministry of Economy and Competitiveness), the Academy of Finland (grants 266152, 317387) and the European Research Council Synergy grant ERC-2013-SyG-610028 IMBALANCE-P.Peer reviewe

Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the PROSPECT model

International audienc

A Modeling Approach for Studying Forest Chlorophyll Content

International audienc

Simulation of the BRDF of forest cover with the coupling of high and medium resolution reflectance models

International audienc