Results 91 to 100 of about 582 (135)

Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: Intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods

open access: closedAgricultural and Forest Meteorology, 2014
Continuous field leaf area index ( LAI ) measurement has become increasingly important for the validation of remote sensing LAI products. A seasonal field campaign was carried out to take continuous LAI measurements over paddy rice fields in NE China in 2012.
Hongliang Fang   +3 more
semanticscholar   +3 more sources

MEF-DHP: Digital Hemispheric Photography Method Based On Multi-Exposure Fusion

open access: closedIGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Shuaifeng Jiao   +6 more
openaire   +2 more sources

A Verification to Relationship between WAI and PAI While Estimating LAI with DHP Method

IEEE International Geoscience and Remote Sensing Symposium, 2023
In the indirect measurement of Leaf Area Index (LAI), previous studies commonly assumed that the actual LAI can be obtained by subtracting the Woody Area Index (WAI) from the Plant Area Index (PAI), which includes the entire plant. This can be calculated
Zhentao Gao   +5 more
semanticscholar   +1 more source

Fisheye-Based Forest LAI Field Measurements for Remote Sensing Validation at High Spatial Resolution

IEEE Geoscience and Remote Sensing Letters, 2023
Leaf area index (LAI) field measurements based on digital hemispherical photography (DHP) and LAI-2200 instruments have been widely used for remote sensing validation in forestry.
Siqi Yang   +7 more
semanticscholar   +1 more source

Estimation of Leaf Area Index of Moso Bamboo Canopies

Journal of Sustainable Forestry, 2021
All ground-based estimations of leaf area index (LAI) of Moso bamboo canopies are currently conducted based on indirect remote sensing methods. However, the relatively small values of LAI estimated by previous studies conflict with the expected values of
Feilong Huang   +6 more
semanticscholar   +1 more source

Retrieving Canopy Clumping Index from Terrestrial Laser Scanning Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The information about tree canopy structure is crucial for better understanding the process of radiation propagation. Clumping index (CI) describes the nonrandom distribution of foliage in canopy.
Yifan Xu, Sen Li, Shihua Li
semanticscholar   +1 more source

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