Key wordscanopy structure, ecosystem modelling, global ecology, lai, leaf area index, remote sensing. Estimation of multispecies leaf area index based on chinese gf1 satellite data using lookup table and gaussian process regression methods yangyang zhang 1,2,3, jian yang 1,2, xiuguo liu 1, lin du 1, shuo shi 4, jia sun 1 and biwu chen 4. Leaf area index lai is a measure of canopy foliage. Influence of spatial heterogeneity and scaling on leaf area index estimates from remote sensing data. Comparison of inversion method of maize leaf area index. Leaf area index lai is a measure of foliage density that plays a major role. Integrating remotely sensed leaf area index and leaf.
Stomatal conductance, canopy temperature, and leaf area. Retrieving leaf area index from spot4 satellite data sciencedirect. Download the understanding the publishing process pdf. It is also an important input parameter for climate, energy and carbon cycle models. Information about weather is used to force crop simulations directly. A visible band index for remote sensing leaf chlorophyll. Stomatal conductance, canopy temperature, and leaf area index estimation using remote sens stomatal conductance, canopy temperature, and leaf area index estimation using remote sensing and obia techniques. High spectral resolution hyperspectral and multispectral imagery was used to examine the spectral response of loblolly pine with contrasting lai. Remote sensing of leaf area index lai and other vegetation. Introduction lai is a dimensionless variable and was first defined as the total onesided area of photosynthetic tissue per nit ground surface area watson, 1947. It is fundamentally important as a parameter in landsurface processes and parameterizations in climate models. In conifers, three definitions for lai have been used. Jan 22, 2020 beerlambert law is widely used in calculating crop leaf area index lai, however, it is timeconsuming detection and low in output.
Remote sensing of seasonal leaf area index across the oregon. Leaf area index gap fractionhemispherical photography digital camera 1. Improving regional winter wheat yield estimation through. Remote sensing of leaf area index and radiation intercepted by understory vegetation. Waring department of forest science, oregon state university, corvallis, oregon 97331 usa abstract. This chapter first introduces field methods for measuring lai. Leaf area index lai is a critical vegetation structural variable and is essential in the feedback of vegetation to the climate system. The capability of a model inversion method assessed by sensitivity analysis and hyperspectral data of florida bay john d. Leaf area per unit surface laileaf area index is a valuable.
Nov 16, 2017 remote sensing of seagrass leaf area index and species. Both parameters are essential for estimating radiation absorption and distribution in the canopy. It is defined as the onesided green leaf area per unit ground surface area lai leaf area ground area, m2 m2 in broadleaf canopies. Airborne multispectral data for quantifying leaf area index, nitrogen concentration and photosynthetic efficiency in agriculture. Leaf area index and biomass estimation overy leaf area index estimation definition leaf area index is defined what is leaf area index quora. Estimation of leaf area index using groundbased remote sensed ndvi measurements. Crop leaf area index observations with a wireless sensor network. Pdf leaf area index retrieval using high resolution.
Pdf influence of spatial heterogeneity and scaling on. Remote sensing of leaf area index lai international journal of. Remote sensing of leaf area index and clumping index. Detection of plant water stress by remote sensing has been proposed using indices of nearinfrared nir, 0. The scaling effect of the lai has always been of concern. Nov 30, 2012 the leaf area index lai is a critical biophysical variable that describes canopy geometric structures and growth conditions. Leaf area index lai, one half the total green leaf area per unit horizontal ground surface, is an important structural property of vegetation. Ground data, including biomass and leaf area index, were collected monthly at the rangeland site and weekly or triweekly at the crop site.
Mccarty, soil scientist usdaars, hydrology and remote sensing laboratory building 007 room 104 barcwest 10300 baltimore avenue. Remote sensing of seagrass leaf area index and species. Pdf retrieving leaf area index lai using remote sensing leaf area index two band vegetation indices three ppt frontiers remote sensing of seagrass leaf area index and species. Estimation of forest leaf area index using remote sensing. Graphic presentation of the proposed approach step 2. Half of the total needle surface area per unit ground surface area. Impacts on model performance and future predictions dana parr and guiling wang department of civil and environmental engineering, and center for environmental sciences and engineering, university of connecticut, storrs, connecticut david bjerklie. Quantitative monitoring of leaf area index in wheat of. The leaf area index lai is a critical biophysical variable that describes canopy geometric structures and growth conditions. Validation and intercomparison of global leaf area index. Case study mpumalanga, south africa is my own work and i am the sole author thereof, that reproduction and publication thereof by.
Index for remote sensing of vegetation liquid water from space bocai gao the nornalized difference vegetation index ndvi has been widely used for remote sensing of vegetation for many years. Remote sensing leaf chlorophyll content using a visible. Lai is a key variable for regional and global models of biosphere. 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.
Leaf area index estimates using remotely sensed data and. Leaf area index retrieval using high resolution remote sensing data. Measurement of leaf relative water content by infrared. Remotely sensed images including landsat, spot, naip orthoimagery, and lidar and relevant processing tools can be used to predict plant stomatal conductance g. Leaf area index lai is a dimensionless quantity that characterizes plant canopies. Introduction although there are several parameters of interest in the quantitative aspects of vegetative remote sensing. Estimation of multispecies leaf area index based on. This study took place in an evergreen scrub oak ecosystem in florida.
Abstract using remote sensing data to estimate leaf area. Integrating remotely sensed leaf area index and leaf nitrogen accumulation with ricegrow model based on particle swarm optimization algorithm for rice grain yield assessment hang wang yan zhu wenlong li. By submitting this thesis, i declare that remote sensing of leaf area index in savannah grass using inversion of radiative transfer model on landsat 8 imagery. Integrating remote sensing data on evapotranspiration and. Estimating the crop leaf area index using hyperspectral. Predictability of leaf area index using vegetation indices. Leaf area index lai is widely used to describe the photosynthetic and transpirational surface of plant canopies.
Estimation of forest leaf area index using vegetation. Biging, and mirta rosa larrieu abstract field spectrometer data and leaf area index lai. Predictability of leaf area index using vegetation indices from multiangular chrisproba data over eastern china zhujun gu, a, g. 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. Leaf area index lai indicates the amount of leaf area in an ecosystem. Chen and others published remote sensing of leaf area index and clumping index find, read and cite all the research you need on researchgate. The dynamic leaf area index lai derived from satellite remote sensing was. Leaf area index lai is widely used to describe the main characteristics of forest stands such as cover intensity at different forest levels from moss to tree as well as main stand dendrometric parameters. Considering the effects of the clumping indices on the brdf models of discrete canopies, an effective lai is defined.
Imaging spectrometer chris were acquired to derive leaf area index information. Leaf chlorophyll content is an important variable for agricultural remote sensing because of its close relationship to leaf nitrogen content. Find out more about the editorial board for science of remote sensing. Using the connecticut river basin as an example, this study assesses the extent to which remote sensing data can help improve hydrological modeling and how it may in. For these problems, an inversion method of maize leaf area index based on uav hyperspectral remote sensing is proposed in this paper. Skidmore professor of vegetation and agricultural land use survey. Remote sensing rs technology is an important tool for crop yield prediction. The first objective of this study was to test the ability of the leaf water content index lwci to determine leaf. The advancement of the global earth observation has enabled the development of global lai products and boosted global earth system modeling studies.
Nevertheless, relationships between lai and svi show saturation. How to calculate lai leaf area index in remote sensing. Comparison of vegetation indices for leaf area index estimation in. Arturo sanchezazofeifa, b jilu feng, b and sen cao c ananjing xiaozhuang university, school of environmental science, nanjing 211171, china. Remotely sensed data acquired from four remotesensing instruments on three different aircraft platforms over a transect of coniferous forest stands in oregon were analyzed with respect to seasonal leaf area index lai. Leaf area index estimates using remotely sensed data and brdf models in a semiarid region. Stomatal conductance, canopy temperature, and leaf area index estimation using remote sensing and obia techniques s. Validation and intercomparison of global leaf area index products derived from remote sensing data s. Author links open overlay panel yi chen a b zhao zhang b fulu tao a c. Pdf influence of spatial heterogeneity and scaling on leaf. Assimilating remote sensing observations of leaf area index.
Retrieving leaf area index from remotely sensed data using. Retrieving leaf area index lai using remote sensing. 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. Winter wheat was planted early october 2006 and late november 2006 in a field on the eastern shore of maryland 39 2 2 n lat, 76 10 36 w long. Pdf leaf area index estimates using remotely sensed data and. Ecv t11 leaf area index lai significance for climate change activities monitoring the distribution and changes of leaf area index lai is important for assessing growth and vigour of vegetation on the planet. Each planting was divided into 6 northsouth strips, each with various levels of initial nitrogen fertilizer, which caused large variations in leaf area index. Example uses of the database for global plant productivity, fractional energy absorption, and remote sensing studies are highlighted.
Leaf area index retrieval using hyperion eo1 databased vegetation indices in himalayan forest system 2 recommendations 7th jul, 2016. The leaf area index lai is an important vegetation parameter, which is used widely in many applications. Hyperspectral remote sensing of vegetation parameters using statistical and physical models roshanak darvishzadeh. Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data. A good relationship was observed between groundbased and remote sensing derived leaf area index in the case of wheat r2. Our objective was to improve the accuracy of monitoring lai through remote sensing by integrating ndvi and beerlambert law. View enhanced pdf access article on wiley online library html view download pdf for offline viewing. Leaf area index derivation from hyperspectral vegetation indices and the red. Remote sensing leaf area index of winter wheat from.
Remote sensing leaf chlorophyll content using a visible band. Leaf area index lai, defined as the onesided green leaf area per unit ground surface area, 1 is used as one key parameter for surface modeling of hydrological processes, ecological develop ment, and global change. The spatial scaling effect of the discretecanopy effective. Remote sensing of leaf area index lai and a spatiotemporally parameterized. High spectral resolution hyperspectral and multispectral imagery was used to examine the spectral response of loblolly pine with contrasting lai and foliar nitrogen concentration.
Pdf retrieving leaf area index lai using remote sensing. Pdf leaf area index retrieval using high resolution remote. Ndwi a normalized difference water index for remote. Lai can also be estimated from remote sensing data using either statistical or physical methods. 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. As a fundamental plant parameter leaf area index lai leaf area ground surface. Remote sensing techniques are known to be effective but inexpensive methods for estimating the lai of crop canopies. Global synthesis of leaf area index observations ucl department. Leaf area formation of sugar beet in early summer is the most important variable for crop growth models. This study aimed at estimating whether differences in leaf area development of sugar beet resulting from different agronomic practices can be determined with remote sensing. Quality control to estimating leaf area index with remote sensing imagery. An alternative approach is to employ satellite remote sensing techniques to. Remote sensing of leaf area index lai and other vegetation parameters.
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. Application perspectives of the leaf area index lai. Litter fall collection is a direct method widely used to estimate leaf area index lai in broadleaved forest. Hyperspectral remote sensing of vegetation parameters. Theories, methods and sensors article pdf available in sensors 94. To estimate leaf area index lai, intercepted radiation, and other related. A number of techniques for space borne remote sensing data have been developedtested, ranging from regression models to canopy reflectance model. Leaf area index estimates using remotely sensed data and brdf. Among these surface characteristics, the leaf area index lai, defined as half the total developed area of green i. Leaf area index lai quantifies the amount of leaf area in a canopy, while clumping index ci characterizes the spatial distribution pattern of leaves in the canopy. Estimation of forest leaf area index using remote sensing and. Using remote sensing data to estimate leaf area index and foliar nitrogen of loblolly pine plantations under the direction of h.
Stomatal conductance, canopy temperature, and leaf area index. Mar 24, 2020 leaf area index formula remote sensing masuzi march 24, 2020 uncategorized 0 leaf area index and biomass estimation overy leaf area index estimation definition leaf area index is defined what is leaf area index quora. Assimilating remote sensing observations of leaf area. Because leaf surfaces are the primary border of energy and mass exchange, important processes such as canopy interception, evapotranspiration, and gross photosynthesis are directly proportional to lai. Estimation of forest leaf area index using remote sensing and gis data for modelling net primary production. Integrating remote sensing data on evapotranspiration and leaf area index with hydrological modeling.
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