A Mixed Data-Based Deep Neural Network to Estimate Leaf Area Index in Wheat Breeding Trials [PDF]
, 2020 Remote and non-destructive estimation of leaf area index (LAI) has been a challenge in the last few decades as the direct and indirect methods available are laborious and time-consuming.
Apolo Apolo, Orly Enrique +3 more
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Evaluation of MODIS LAI/FPAR product Collection 6. Part 2: Validation and intercomparison [PDF]
, 2016 The aim of this paper is to assess the latest version of the MODIS LAI/FPAR product (MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this product through three approaches: validation with field measurements, intercomparison with other ...
Chen, Chi +8 more
core +5 more sources
European Journal of Remote Sensing, 2021 The red-edge bands of Sentinel-2 allow for a greater diversity of spectral Vegetation Indices (VIs) to be calculated and used for vegetation characterization.
Ilina Kamenova, Petar Dimitrov
doaj +1 more source
Investigating the effect of Gotvand Dam on changes in soil salinity and vegetation cover of downstream lands of the dam using satellite imagery and spectral indices [PDF]
علوم محیطی, 2021 Introduction: One of the most important factors that play a major role in reducing soil fertility and agricultural land degradation is soil salinization. Soil salinity problem is more severe in agricultural lands of arid and semi-arid regions.
Morteza Sharif, Saeid Hamzeh
doaj +1 more source
Prototyping of LAI and FPAR retrievals from MODIS multi-angle implementation of atmospheric correction (MAIAC) data [PDF]
, 2017 Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by vegetation are key variables in many global models of climate, hydrology, biogeochemistry, and ecology.
Chen, Chi +7 more
core +2 more sources
Agritech, 2020 Lai (Durio kutejensis) seed starches have a high retrogradation ability and low paste stability so that its function in food industry is less widespread.
Siti Masithah Fiqtinovri +3 more
doaj +1 more source
Inconsistencies of interannual variability and trends in long-term satellite leaf area index products [PDF]
, 2017 Understanding the long-term performance of global satellite leaf area index (LAI) products is important for global change research. However, few effort has been devoted to evaluating the long-term time-series consistencies of LAI products.
Claverie, Martin +5 more
core +1 more source
WormBook, 2005 C. elegans hermaphrodites are self-fertile, and their rate and temporal pattern of egg-laying are modulated by diverse environmental cues. Egg-laying behavior has served as an important phenotypic assay for the genetic dissection of neuronal signal transduction mechanisms. This chapter reviews our current understanding of the neuronal and neurochemical
openaire +2 more sources
LAI based trees selection for mid latitude urban developments: A microclimatic study in Cairo, Egypt [PDF]
, 2010 To study the leaf area index, LAI, based thermal performance in distinguishing trees for Cairo's urban developments, ENVI-met plants database was used as platform for a foliage modeling parameter, the leaf area density, LAD.
Aiad +46 more
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Interannual variability in North American grassland biomass/productivity detected by SeaWinds scatterometer backscatter [PDF]
, 2005 We analyzed 2000–2004 growing-season SeaWinds Ku-band microwave backscatter and MODIS leaf area index (LAI) data over North America. Large anomalies in mid-growing-season mean backscatter and LAI, relative to 5-year mean values, occurred primarily in the
Fahnestock, Mark +4 more
core +2 more sources