Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters

Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters

High-accuracy retrieval of the crop leaf area index (LAI) in farmlands via remote sensing is the premise of reflecting the true growth condition of the crop. This paper aimed at scaling correction of LAI retrieval and developed an LAI scaling transfer model for farmland landscape pattern with multit...

Full description

Bibliographic Details
Main Authors: Ling Wu, Xiangnan Liu, Qiming Qin, Bingyu Zhao, Yujia Ma, Mengxue Liu, Tian Jiang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Contextural parameters
farmland landscape pattern
fractal dimension
leaf area index (LAI)
multitype spatial heterogeneities
scaling correction
Online Access:https://ieeexplore.ieee.org/document/8291059/

Internet

https://ieeexplore.ieee.org/document/8291059/

Similar Items