Results 21 to 30 of about 1,957,742 (286)

Validation of MODIS and GEOV1 fPAR Products in a Boreal Forest Site in Finland

open access: yesRemote Sensing, 2015
Remote sensing of the fraction of absorbed Photosynthetically Active Radiation (fPAR) has become a timely option to monitor forest productivity. However, only a few studies have had ground reference fPAR datasets containing both forest canopy and ...
Titta Majasalmi   +3 more
doaj   +1 more source

The spatiotemporal response of photosynthetic accumulation per leaf area to climate change on alpine grassland

open access: yesGlobal Ecology and Conservation, 2023
Characterizing the photosynthetic capacity of grassland is essential for exploring the carbon cycle under climate change. However, little research has been conducted to date on photosynthetic accumulation per leaf area (NPP/LAI) in spatial and temporal ...
Xiaoning Zhang   +9 more
doaj   +1 more source

Evaluation of Vegetation Characteristics over Qinghai- Xizang Plateau Simulated by A Vegetation Dynamic Model

open access: yesGaoyuan qixiang, 2023
In this study, performances of NCAR Community Land Surface Model CLM (version 4.5) coupled with dynamic vegetation and carbon-nitrogen model (CN-DV) in representing the observed vegetation characteristics of satellite over the Qinghai-Xizang Plateau (QXP)
Yan BAO, Yuqi WANG, Sulan NAN, Miao YU
doaj   +1 more source

A comparison of optical and direct methods for monitoring the seasonal dynamics of leaf area index in deciduous forests

open access: yesSilva Fennica, 2001
During the 1996 growing season the seasonal dynamics of the Leaf Area Index (LAI) were determined by 3 different methods in two forest types: a mixed oak (Quercus robur L.) – beech (Fagus sylvatica L.) stand and an ash dominated (Fraxinus excelsior L.)
Mussche, Sylvie   +5 more
doaj   +1 more source

LIGHT DIFFUSION IN THE TROPICAL DRY FOREST OF COSTA RICA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Leaf Area Index (LAI) has been defined as the total leaf area (one-sided) in relation to the ground. LAI has an impact on tree growth and recruitment through the interception of light, which in turn affects primary productivity.
S. Calvo-Rodriguez   +1 more
doaj   +1 more source

Spatio-temporal variation in leaf area index in the Yan Mountains over the past 40 years and its relationship to hydrothermal conditions

open access: yesEcological Indicators, 2023
Changes in hydrothermal conditions have significant effects on vegetation, but there is still a lack of understanding of how vegetation responds to land surface (surface temperature and soil moisture) and meteorological (temperature and precipitation ...
Da Guo   +7 more
doaj   +1 more source

Relação entre índice de área foliar e frações de componentes puros do modelo linear de mistura espectral, usando imagens ETM+/Landsat Relationship between leaf area index and endmember fractions from linear spectral mixture modelling, using ETM+/Landsat images

open access: yesEngenharia Agrícola, 2004
O índice de área foliar (IAF) é uma das mais importantes variáveis biofísicas da vegetação, estando relacionado diretamente com a evapotranspiração, com a produtividade da vegetação e com a interceptação da chuva pelo dossel.
Alexandre C. Xavier   +2 more
doaj   +1 more source

Improving the MODIS leaf area index product for a cropland with the nonlinear autoregressive neural network with eXogenous input model

open access: yesFrontiers in Earth Science, 2023
The leaf area index (LAI) is a crucial descriptive parameter of the dynamic change of ground vegetation. The widely used MODIS LAI product, however, does not satisfy the requirements of regional eco-environment modeling.
Shangzhi Li, Meng Zhang
doaj   +1 more source

Leaf area index based nitrogen diagnosis in irrigated lowland rice

open access: yesJournal of Integrative Agriculture, 2018
Leaf area index (LAI) is used for crop growth monitoring in agronomic research, and is promising to diagnose the nitrogen (N) status of crops. This study was conducted to develop appropriate LAI-based N diagnostic models in irrigated lowland rice.
Xiao-jun LIU   +7 more
doaj   +1 more source

Retrieval of the Leaf Area Index from MODIS Top-of-Atmosphere Reflectance Data Using a Neural Network Supported by Simulation Data

open access: yesRemote Sensing, 2022
The leaf area index (LAI), a key parameter used to characterize the structure and function of the vegetation canopy, is crucial to simulations of the carbon, nitrogen, and water cycles of Earth’s system.
Weiyan Wang   +6 more
doaj   +1 more source

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