The ability to accurately and rapidly acquire leaf area index lai is an indispensable component of processbased ecological research facilitating the understanding of gasvegetation exchange phenomenon at an array of spatial scales from the leaf to the landscape. Estimating leaf area index lai of vitis vinifera using indirect methods involves some critical issues, related to its discontinuous and nonhomogeneous canopy. The combination of a poor 20142015 season, the extremely dry early agricultural season. Retrieving leaf area index lai using remote sensing. Leaf area index estimation in a heterogeneous grassland using optical, sar, and dem data.
The onesided green leaf area per unit ground surface area describes the lai data set. To resolve the saturation phenomenon and develop an ideal lai retrieval model for chinese satellite hj1 ccd data, a hot dark spot hds index method based on multiangular remote sensing was investigated in this study. Leaf area index retrieval using high resolution remote sensing data. Half of the total needle surface area per unit ground surface area.
Theories, methods and sensors, year 2009 share openurl. A failure to develop an approach that has these advantages, but cir occurs when the optimization algorithm does not find an. Leaf area index estimation in a heterogeneous grassland. Estimation of forest leaf area index using remote sensing and gis data for modelling net primary production. Mar 14, 2019 measuring leaf area index licor lai2200c duration. Leaf area index retrieval using high resolution remote sensing data by pietro soldo, giuseppe satalino, alessandro vittorio vonella, pasquale garofalo, michele rinaldi and sergio ruggieri no static citation data no static citation data cite. How to calculate lai leaf area index using remote sensing. Leaf area index lai, total onesided area of leaf tissue per unit ground surface. Journal of applied remote sensing journal of astronomical telescopes, instruments, and systems journal of biomedical optics. Recent remote sensing of environment articles elsevier. Estimation of forest leaf area index using remote sensing. Due to a wide variety in spatial resolution of remotely sensed data and the requirements of ecological modeling, the scaling issue of lai is. The amount and spatial and temporal dynamics of vegetation are important information in environmental studies and agricultural practices. The current inversion method of maize leaf area index has the problems of long timeconsuming inversion, high energy consumption, and low fitting coefficient between the prediction result and the actual result.
Monika moskal remote sensing and geospatial analysis laboratory and precision forestry cooperative, college of forest resources, university of washington, box 352100, seattle, washington, usa 981952100. Monika moskal remote sensing and geospatial analysis laboratory and precision forestry cooperative, college of forest resources, university of washington, box 352100, seattle, washington, 981952100, usa. The dynamic leaf area index lai derived from satellite remote sensing was incorporated into the variable infiltration capacity model vic to enable an interannually varying seasonal cycle of vegetation vicveg. Leaf area index lai is a measure of foliage density that plays a major role in photosynthesis, groundwatersurface water interactions through. A visible band index for remote sensing leaf chlorophyll content at the canopy scale. Information on the state of the terrestrial vegetation cover is important for several ecological, economical, and planning issues. Stomatal conductance, canopy temperature, and leaf area index. Validation and intercomparison of global leaf area index. Leaf area index lai indicates the amount of leaf area in an ecosystem. Th e objectives of this study were to develop and test a new index, based on red, green and blue bands, that is sensitive to dif. Algorithm development for remote sensing of chlorophyll. In this regard, vegetation properties such as the type, vitality, or density can be described by means of continuous biophysical parameters. As shown in table 1, total leaf area index tolai was first defined as the total onesided area of photosynthetic tissue per unit ground surface area 51,52. Comparison of inversion method of maize leaf area index based.
The estimation of biophysical variables, such as the leaf area index lai, using remote sensing techniques, is still the subject of numerous studies, since these variables allow obtaining. For vegetation studies, spectral evolution offers a wide range of instruments. Potential of high resolution remote sensing data for leaf. Remotely sensed images including landsat, spot, naip orthoimagery, and lidar and relevant processing tools can be used to predict plant stomatal conductance g s, leaf area index lai, and canopy.
The study of vegetation bidirectional reflectance is useful for remote sensing data interpretation. This study evaluates the smart app pocketlai and hemispherical photography in vineyards against destructive lai measurements. Special issue leaf area index lai retrieval using remote sensing. Full article this article belongs to the special issue leaf area index lai retrieval using remote sensing. Noaa climate data record cdr of leaf area index lai and. Mapping urbanrural gradients of settlements and vegetation at national scale using sentinel2 spectraltemporal metrics and regressionbased unmixing with synthetic training data open access. Estimation of forest leaf area index using remote sensing and. Using hyperspectral remote sensing data for retrieving canopy chlorophyll and nitrogen content abstract. Bryant t he amount and spatial and temporal dynamics of veg tional laisvi approaches to circumvent these limita. Leaf area index estimates using remotely sensed data and. Remotely sensed images including landsat, spot, naip orthoimagery, and lidar and relevant processing tools can be used to predict plant stomatal conductance g. Theories, methods and sensors by guang zheng and l.
With darwin sp data acquisition software included, it provides instant access to 19 vegetation indices for your research. This definition is especially applicable to flat broad leaf condition with same area on both sides of leaf. Forest leaf area index inversion based on landsat oli data in the. Leaf area index estimates using remotely sensed data and brdf models in a semiarid region j. Due to a wide variety in spatial resolution of remotely sensed data and the requirements of ecological. This chapter first introduces field methods for measuring lai. Remote sensing leaf chlorophyll content using a visible band. Remote sensing of leaf area index and clumping index. Leaf area index estimation in a heterogeneous grassland using.
Leaf area index lai is a dimensionless quantity that characterizes plant canopies. Using hyperspectral remote sensing data for retrieving canopy. Calculation by combining multispectral data and insitu measurements use different methods than ones based on highres lidar data or hyperspectral images. In conifers, three definitions for lai have been used. Abstractthe ability to accurately and rapidly acquire leaf area index lai is an indispensable. An important vegetation biophysical parameter, the leaf area index lai, is a dimensionless variable and a ratio of leaf area to per unit ground surface area.
Integrating remote sensing data on evapotranspiration and. Leaf area index retrieval using high resolution remote sensing data by michele rinaldi, sergio ruggieri, pasquale garofalo, alessandro vittorio vonella, giuseppe satalino and pietro soldo no static citation data no static citation data cite. The lai is an important measure to increase the yield and adjust the quantity of manure. Noaa climate data record cdr of leaf area index lai. Theories, methods and sensors article pdf available in sensors 94. Hot dark spot index method based on multiangular remote. Leaf area index lai is an important index that reflects the growth status of.
It is defined as the onesided green leaf area per unit ground surface area lai leaf area ground area, m2 m2 in broadleaf canopies. Recent remote sensing of environment articles recently published articles from remote sensing of environment. Apr 25, 2016 leaf area index lai is an important parameter of vegetation ecosystems for crop monitoring and yield estimations. Retrieval of leaf area index using temporal, spectral, and.
In addition, stress may affect the plant pigment system, influencing the photosynthetic capacity of plants. Pdf retrieving leaf area index lai using remote sensing. Remotely sensed images including landsat, spot, naip orthoimagery, and lidar and relevant processing tools can be used to predict plant stomatal conductance g s, leaf area index lai, and canopy temperature, vegetation. Retrieving leaf area index of forests in red soil hilly. It is defined as the onesided green leaf area per unit ground surface area lai leaf area ground area, m 2 m 2 in broadleaf canopies. Therefore, in this study, this widely used index was calculated from all the possible paired waveband combinations, using canopy emissivity spectra of pooled data and each species between 8. The triangular greenness index tgi was developed based on the area of a triangle surrounding the spectral features of chlorophyll with points at 670nm, r670, 550nm, r550, and 480nm, r480, where r. For these problems, an inversion method of maize leaf area index based on uav hyperspectral remote sensing is proposed in this paper. Lai extracted from remotely sensed data may contribute to grasp the yield of rice at an early stage.
In this study, optical remote sensing data were used for leaf area index lai estimation. In predominantly deciduous hardwood and mixedwood stands remote sensing estimates may be influenced by understory and other factors. Estimation of forest canopy leaf area index using modis. Plant stress is often expressed as a reduction in amount of biomass or leaf area index lai. Leaf area density is significantly correlated with radiation interception and light environment in the. Vegetation canopies information such as leaf area index, mean leaf inclination, mean plant. Leaf area index lai is an important parameter of vegetation ecosystems for crop monitoring and yield estimations.
Estimation of forest leaf area index using remote sensing and gis. This dataset contains gridded daily leaf area index lai and fraction of absorbed photosynthetically active radiation fapar derived from the noaa climate data record cdr of advanced very high resolution radiometer avhrr surface reflectance. P2 the soil line is inferred from satellite data through consideration of a scattergram of reflectance data. Review retrieving leaf area index lai using remote. The journal of applied remote sensing jars is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban landuse planning, environmental quality monitoring. Stomatal conductance, canopy temperature, and leaf area index estimation using remote sensing and obia techniques s. Leaf area index estimates using remotely sensed data and brdf models in a semiarid region. Retrieving leaf area index from remotely sensed data using. Remote sensing of leaf area index lai and a spatiotemporally parameterized model for mixed grasslands li shen zhaoqin li xulin guo department of geography and planning university of saskatchewan saskatoon, sk s7n5c8, canada abstract leaf area index lai is an important biophysical variable used to reflect the vegetation condition in ecosystems. One of these parameters is the leaf area index lai, which is defined as half the total leaf area per unit. This ratio can be related to gasvegetation exchange processes such as photosynthesis 1, evaporation and transpiration 2 4, rainfall interception 5, and carbon flux 6. Estimation of leaf area index using remote sensing data. A large number of relationships have been discovered between remote sensing data obtained from optical, thermal, lidar, and radar sensors at.
The aim of this study is to evaluate the accuracy of leaf area index lai retrieval over agricultural area that can be obtained by empirical relationships between different spectral vegetation indices vi and lai measured on three. The term vegetative index describes an algorithm that processes spectral data for the purpose of determining information about. Stomatal conductance, canopy temperature, and leaf area. Validation and intercomparison of global leaf area index products derived from remote sensing data s.
Rs5400 high resolution field portable spectroradiometer. However, in areas with high leaf area index lai, vegetation indices usually saturate at leaf areas greater than about 4. This article is from sensors basel, switzerland, volume 9. This latter procedure is relatively inefficient and does not. Noaa climate data record cdr of leaf area index lai and fraction of absorbed photosynthetically active radiation fapar, version 4 format.
Leaf area index retrieval using hyperion eo1 data based vegetation indices in himalayan forest system cite 2 recommendations. Pdf the ability to accurately and rapidly acquire leaf area index lai is an indispensable component of. However, in areas with high leaf area index lai, vegetation indices usually. Ecosystem models can be used to estimate potential net primary production pnpp using gis data, and remote sensing input of actual forest leaf area to such models can provide estimates of current actual net primary production anpp. In reality, the shape of leaves is not always of this type, some leaves such as white spruce picea glauca are needleshaped. How to calculate lai leaf area index in remote sensing. Leaf area index estimates using remotely sensed data and brdf. Landsat oli was used as the data source for remotely sensed data, and. Sr6500 highest resolution field spectroradiometer available. Until now, lai research focused either on the use of coarse resolution remote sensing data for global applications, or on lai modeling over a confined area, mostly in forest and crop ecosystems, using medium to high spatial resolution data.
Pdf leaf area index estimates using remotely sensed data and. Estimation of forest canopy leaf area index using modis, misr. This special issue, leaf area index lai retrieval using remote sensing, is calling for papers that demonstrate original research that can overcome or address the above challenges and gaps and develop corresponding solutions, in particular using remote sensing recent advances. Leaf area index is defined as the projected area of leaves over a unit of land m2 m. Using hyperspectral remote sensing data for retrieving. Lai can also be estimated from remotesensing data using either statistical or physical methods.
Lai can also be estimated from remote sensing data using either statistical or physical methods. Therefore, the purpose of this study is to estimate the lai through remote sensing. Estimating leaf area index lai in vineyards using the. However, lai is difficult to directly acquire for large spatial extents due to its time consuming and work intensive nature. At the field scale, spectral data from sentinel2 can accurately retrieve the maize leaf area index in the study area.
Rs8800 high resolution spectroradiometer controlled by iphone, android device or tablet. Leaf area index estimation from hyperspectral data using. Jan 01, 2011 the journal of applied remote sensing jars is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban landuse planning, environmental quality monitoring, ecological restoration, and numerous. Remote sensing leaf chlorophyll content using a visible.
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