[HTML][HTML] Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives

G Yan, R Hu, J Luo, M Weiss, H Jiang, X Mu… - Agricultural and forest …, 2019 - Elsevier
Leaf area index (LAI) is a key parameter of vegetation structure in the fields of agriculture,
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …

Evaluation of MODIS LAI/FPAR product collection 6. Part 2: Validation and intercomparison

K Yan, T Park, G Yan, Z Liu, B Yang, C Chen… - Remote Sensing, 2016 - mdpi.com
The aim of this paper is to assess the latest version of the MODIS LAI/FPAR product
(MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this product through …

A data-driven approach to estimate leaf area index for Landsat images over the contiguous US

Y Kang, M Ozdogan, F Gao, MC Anderson… - Remote Sensing of …, 2021 - Elsevier
Abstract Leaf Area Index (LAI) is a fundamental vegetation biophysical variable serving as
an essential input to many land surface and atmospheric models. Long-term LAI maps are …

Using the negative soil adjustment factor of soil adjusted vegetation index (SAVI) to resist saturation effects and estimate leaf area index (LAI) in dense vegetation …

Z Zhen, S Chen, T Yin, E Chavanon, N Lauret… - Sensors, 2021 - mdpi.com
Saturation effects limit the application of vegetation indices (VIs) in dense vegetation areas.
The possibility to mitigate them by adopting a negative soil adjustment factor X is addressed …

A deep transfer learning framework for mapping high spatiotemporal resolution LAI

J Zhou, Q Yang, L Liu, Y Kang, X Jia, M Chen… - ISPRS Journal of …, 2023 - Elsevier
Leaf area index (LAI) is an important variable for characterizing vegetation structure.
Contemporary satellite-based LAI products with moderate spatial resolution, such as those …

PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction

G Yin, A Li, S Wu, W Fan, Y Zeng, K Yan, B Xu… - Remote Sensing of …, 2018 - Elsevier
Rugged terrain distorts optical remote sensing signals, and land-cover classification and
biophysical parameter retrieval over mountainous regions must account for topographic …

Tree information modeling: A data exchange platform for tree design and management

Q Shu, T Rötzer, A Detter, F Ludwig - Forests, 2022 - mdpi.com
Trees integrated into buildings and dense urban settings have become a trend in recent
years worldwide. Without a thoughtful design, conflicts between green and gray …

[HTML][HTML] Quantitative evaluation of leaf inclination angle distribution on leaf area index retrieval of coniferous canopies

G Yan, H Jiang, J Luo, X Mu, F Li, J Qi, R Hu… - Journal of Remote …, 2021 - spj.science.org
Both leaf inclination angle distribution (LAD) and leaf area index (LAI) dominate optical
remote sensing signals. The G-function, which is a function of LAD and remote sensing …

Estimating the leaf area of an individual tree in urban areas using terrestrial laser scanner and path length distribution model

R Hu, E Bournez, S Cheng, H Jiang, F Nerry… - ISPRS journal of …, 2018 - Elsevier
Urban leaf area measurement is crucial to properly determining the effect of urban trees on
micro-climate regulation, heat island effect, building cooling, air quality improvement, and …

[HTML][HTML] 发展几何光学遥感建模理论, 推动定量遥感科学前行——深切缅怀李小文院士

柳钦火, 阎广建, 焦子锑, 肖青, 闻建光, 梁顺林… - 2019 - html.rhhz.net
摘要李小文长期致力于遥感基础研究, 是植被几何光学遥感建模的先驱. 他创建了Li-Strahler
几何光学模型, 论文入选“国际光学工程学会(SPIE)” 里程碑系列文集. 以李小文为首席科学家 …