Results 61 to 70 of about 106,533 (338)

Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos [PDF]

Remote Sensing, 2009
A new simple airborne method based on wide optics camera is developed for leaf area index (LAI) estimation in coniferous forests. The measurements are carried out in winter, when the forest floor is completely snow covered and thus acts as a light background for the hemispherical analysis of the images.
Terhikki Manninen, Lauri Korhonen, Pekka Voipio, Panu Lahtinen, Pauline Stenberg   +4 more
openaire   +3 more sources

Using models for estimation of leaf area index in Cucurbita pepo L.

Journal of the Saudi Society of Agricultural Sciences, 2019
In order to find plant growth characteristic relationships with leaf area index in Pumpkin (Cucurbita pepo L.), an experiment was conducted based on randomized complete block design with three replications. Three planting dates (Apr.
Mohammadreza Labbafi, Hamideh Khalaj, Iraj Allahdadi, Farzad Nadjafi, Gholam Abass Akbari   +4 more
doaj   +1 more source

Aboveground biomass and leaf area index (LAI) mapping for Niassa Reserve, northern Mozambique [PDF]

Journal of Geophysical Research: Biogeosciences, 2008
Estimations of biomass are critical in miombo woodlands because they represent the primary source of goods and services for over 80% of the population in southern Africa. This study was carried out in Niassa Reserve, northern Mozambique. The main objectives were first to estimate woody biomass and Leaf Area Index (LAI) using remotely sensed data ...
N. Ribeiro, S. Saatchi, H. Shugart, R. Washington-Allen   +3 more
semanticscholar   +2 more sources

Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests

Remote Sensing, 2021
The in situ leaf area index (LAI) measurement plays a vital role in calibrating and validating satellite LAI products. Digital hemispherical photography (DHP) is a widely used in situ forest LAI measurement method.
Jing Liu, Longhui Li, Markku Akerblom, Tiejun Wang, Andrew Skidmore, Xi Zhu, Marco Heurich   +6 more
doaj   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

Developing a Universal Framework for Estimating Soybean Leaf Area Index Growth

Agronomy
Leaf Area Index (LAI) is a key variable in modeling plant growth because it is the site of photosynthesis. However, there are significant differences in LAI between different models and between models and satellite-derived estimates.
Qi Wang, Jianping Guo
doaj   +1 more source

Mechanistic Insights Into Photocatalytic Materials for Toxic Pollutants: Environmental Remediation of Personal Care Products

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Photocatalytic materials have emerged as promising solutions for environmental applications due to their ability to degrade organic pollutants under sunlight or artificial light. In this review, recent progress on the photocatalytic materials used for the degradation of pharmaceutical personal care products (PPCPs) in environmental ...
Urvashi Sen, Gunjan Chauhan, Surbhi Soni, Monika Vats, Anand Kumar, Indra Bahadur   +5 more
wiley   +1 more source

Rice yield forecasting models using satellite imagery in Egypt

Egyptian Journal of Remote Sensing and Space Sciences, 2013
Ability to make yield prediction before harvest using satellite remote sensing is important in many aspects of agricultural decision-making. In this study, canopy reflectance band and different band ratios in form of vegetation indices (VI) with leaf ...
N.A. Noureldin, M.A. Aboelghar, H.S. Saudy, A.M. Ali   +3 more
doaj   +1 more source

A Bio-Physical Model for Estimating Leaf Area Index (LAI) UsingSoil Measurements.

Leaf Area Index (LAI), the total one-sided area of leaves per unit ground area is animportant parameter in fields of science such as agriculture, ecology, forestry amongother fields of science as leaf surfaces are the main areas for energy and massexchange. Direct measurement of Leaf Area Index (LAI) can be destructive or time-consuming, leading to the
Kennedy Mugendi Muthamia, Pedro Berliner, Offer Rozenstein, Eran Tas, Iael Raij Hofman, Naftali Lazarovitch   +5 more
openalex   +2 more sources

Specific leaf area and leaf area index in developing stands of Fagus sylvatica L. and Picea abies Karst [PDF]

, 2016
European beech (Fagus sylvatica L.) and Norway spruce (Picea abies Karst.) are two of the most ecologically and economically important forest tree species in Europe.
Bosela, Michal, Konopka, Bohdan, Lukac, Martin, Marusak, Robert, Pajtik, Jozef   +4 more
core   +1 more source