Results 31 to 40 of about 11,335 (270)

Comparison of Seven Inversion Models for Estimating Plant and Woody Area Indices of Leaf-on and Leaf-off Forest Canopy Using Explicit 3D Forest Scenes

Remote Sensing, 2018
Optical methods require model inversion to infer plant area index (PAI) and woody area index (WAI) of leaf-on and leaf-off forest canopy from gap fraction or radiation attenuation measurements.
Jie Zou, Yinguo Zhuang, Francesco Chianucci, Chunna Mai, Weimu Lin, Peng Leng, Shezhou Luo, Bojie Yan   +7 more
doaj   +1 more source

A Modified Beer–Lambert–Bouguer Law for Nonrandom Distributions and Its Application in Gap Probability Calculations for Heterogeneous Canopies

Journal of Advances in Modeling Earth Systems, 2023
The three‐dimensional (3D) structure of vegetation canopy strongly influence the absorption and reflection of radiation at the land surface. The gap probability is one primary indicator of the canopy structure.
Qing He, Daren Lyu
doaj   +1 more source

Seasonal Effect of the Vegetation Clumping Index on Gross Primary Productivity Estimated by a Two-Leaf Light Use Efficiency Model

Remote Sensing, 2023
Recently, light use efficiency (LUE) models driven by remote sensing data have been widely employed to estimate the gross primary productivity (GPP) of different terrestrial ecosystems at global or regional scales.
Zhilong Li, Ziti Jiao, Chenxia Wang, Siyang Yin, Jing Guo, Yidong Tong, Ge Gao, Zheyou Tan, Sizhe Chen   +8 more
doaj   +1 more source

Exploring the Potential of DSCOVR EPIC Data to Retrieve Clumping Index in Australian Terrestrial Ecosystem Research Network Observing Sites [PDF]

, 2021
Vegetation foliage clumping significantly alters the radiation environment and affects vegetation growth as well as water, carbon cycles. The clumping index (CI) is useful in ecological and meteorological models because it provides new structural ...
Woodgate, W, Knyazikhin, Y, Wardlaw, Timothy J., Pendall, Elise, Erb, Angela, Arndt, Stefan K., Erb, A, Woodgate, William, Pisek, Jan, Wardlaw, TJ, Arndt, SK, Pendall, E, Schaaf, C, Schaaf, Crystal, Pisek, J, Knyazikhin, Yuri   +15 more
core   +1 more source

Extracting Leaf Area Index by Sunlit Foliage Component from Downward-Looking Digital Photography under Clear-Sky Conditions

Remote Sensing, 2015
The development of near-surface remote sensing requires the accurate extraction of leaf area index (LAI) from networked digital cameras under all illumination conditions.
Yelu Zeng, Jing Li, Qinhuo Liu, Ronghai Hu, Xihan Mu, Weiliang Fan, Baodong Xu, Gaofei Yin, Shengbiao Wu   +8 more
doaj   +1 more source

Is foliage clumping an outcome of resource limitations within forests? [PDF]

, 2020
Foliage clumping is a forest canopy structural feature influencing light interception, the inversion of light interception for estimating leaf area index, and photosynthesis rates.
Béland, Martin, Baldocchi, Dennis
core   +1 more source

Generation of a 16 m/10-day fractional vegetation cover product over China based on Chinese GaoFen-1 observations: method and validation

International Journal of Digital Earth, 2023
As China has recently launched the GaoFen-1 satellite (GF-1) carrying on the wide-field view (WFV) sensor, it is a challenging task to make full use of its observations to produce the fractional vegetation cover (FVC).
Jing Zhao, Jing Li, Qinhuo Liu, Baodong Xu, Xihan Mu, Yadong Dong   +5 more
doaj   +1 more source

Digital Cover Photography for Estimating Leaf Area Index (LAI) in Apple Trees Using a Variable Light Extinction Coefficient

Sensors, 2015
Leaf area index (LAI) is one of the key biophysical variables required for crop modeling. Direct LAI measurements are time consuming and difficult to obtain for experimental and commercial fruit orchards.
Carlos Poblete-Echeverría, Sigfredo Fuentes, Samuel Ortega-Farias, Jaime Gonzalez-Talice, Jose Antonio Yuri   +4 more
doaj   +1 more source

Assessing Legacy Effects of Wildfires on the Crown Structure of Fire-Tolerant Eucalypt Trees Using Airborne LiDAR Data

Remote Sensing, 2019
The fire-tolerant eucalypt forests of south eastern Australia are assumed to fully recover from even the most intense fires; however, surprisingly, very few studies have quantitatively assessed that recovery.
Yogendra K. Karna, Trent D. Penman, Cristina Aponte, Lauren T. Bennett   +3 more
doaj   +1 more source

Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The accurate retrieval of canopy chlorophyll content (CCC) is essential to the effective monitoring of forest productivity, and environmental stress. However, the clumping index (CI), a vital canopy structural parameter, affects inaccurate remote sensing
Qi Sun, Quanjun Jiao, Liangyun Liu, Xinjie Liu, Xiaojin Qian, Xiao Zhang, Bing Zhang   +6 more
doaj   +1 more source