Results 101 to 110 of about 582 (135)

Retrieval and Validation of Vertical Forest Lai Profile from Airborne Lidar Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Leaf area index (LAI) is an important vegetation parameter. The vertical profile of forest LAI is critical for understanding the forest carbon, nitrogen, and water cycles and remote sensing radiative transfer processes.
Yao Wang, H. Fang, Yinghui Zhang, Sijia Li   +3 more
semanticscholar   +1 more source

Research on the Directional Dependence of the Sampling Scale of Canopy Clumping Index

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Clumping index (CI) characterizes the clumping degree of vegetation canopy foliage relative to the random distribution, which is an important vegetation structure parameter.
Yidong Tong, Z. Jiao, Lei Cui, Siyang Yin, Xiaoning Zhang, Jing Guo, Rui Xie, Zidong Zhu, Si-Min Li   +8 more
semanticscholar   +1 more source

Enhancing Leaf Area Index Estimation with Exposure Quality Factor for Automated Exposure Optimization

IEEE International Geoscience and Remote Sensing Symposium
Driven by progress in digital imaging and hemispherical imaging techniques, digital hemispherical photography (DHP) has found widespread applications in vegetation ecology, agriculture, and ecological system monitoring. This method employs DHP to capture
Yungao Deng, Yunping Chen, Chaoming Luo, Jinming Zhang, Wangmin Jiang, Xinyu Li   +5 more
semanticscholar   +1 more source

A new method to estimate clumping index integrating gap fraction averaging with the analysis of gap size distribution

Canadian Journal of Forest Research, 2019
Estimates of clumping index (Ω) are required to improve the indirect estimation of leaf area index (L) from optical field-based instruments such as digital hemispherical photography (DHP). A widely used method allows estimation of Ω from DHP using simple
F. Chianucci, Jie Zou, Peng Leng, Yinguo Zhuang, C. Ferrara   +4 more
semanticscholar   +1 more source

Deep Learning for Vegetation Image Segmentation in LAI Measurement

IEEE International Geoscience and Remote Sensing Symposium, 2020
For the measurement of LAI (Leaf Area Index) by DHP (Digital Hemispherical Photography) method, imprecise segmentation is the key error source. In this paper, to our knowledge, a deep learning algorithm is used for the first time to segment upward ...
Cunshi Ma, Yunping Chen, Lei Hou, Baihui Li, Yuanchun Chen, Yuan Sun, Xingfa Gu   +6 more
semanticscholar   +1 more source

Estimation of forest leaf area index and clumping index from the Global Positioning System (GPS) satellite carrier-to-noise-density ratio (C/N0)

, 2020
Forest leaf area index (LAI) and clumping index (CI) are critical structural parameters to study the biomass, biogeochemical cycles, ecological simulation, and radiation transfer in a forest system.
Yinghui Zhang, H. Fang, Li Ma, Y. Ye, Yao Wang   +4 more
semanticscholar   +1 more source

Moderate resolution LAI prediction using Sentinel-2 satellite data and indirect field measurements in Sikkim Himalaya

Environmental Monitoring & Assessment, 2022
S. Mudi, S. Paramanik, M. D. Behera, A. Prakash, Nikhil Raj Deep, M. Kale, Shubham Kumar, N. Sharma, Prerna Pradhan, Manoj Chavan, P. Roy, D. G. Shrestha   +11 more
semanticscholar   +1 more source

An integrated imaging sensor for aberration-corrected 3D photography

Nature, 2022
Jiamin Wu, Yuduo Guo, Hui Qiao
exaly  

Influence of automatic exposure on the estimation of seasonal variations in leaf area index measured by digital hemispherical photograph.

Ying yong sheng tai xue bao = The journal of applied ecology, 2018
Z. Yuan, G. Jin, Z. Liu
semanticscholar   +1 more source

Using canopy height model derived from UAV imagery as an auxiliary for spectral data to estimate the canopy cover of mixed broadleaf forests

Environmental Monitoring & Assessment, 2021
M. Miraki, H. Sohrabi
semanticscholar   +1 more source