NDLI: Using airborne lidar to retrieve crop structural parameters

Content Provider	IEEE Xplore Digital Library
Author	Yaokui Cui Kaiguang Zhao Wenjie Fan Xiru Xu
Copyright Year	2010
Description	Author affiliation: Center on Global Change, Duke University, Durham, NC, USA (Kaiguang Zhao) \|\| Institute of RS and GIS, Peking University, China, 100871 (Yaokui Cui; Wenjie Fan; Xiru Xu)
Abstract	Airborne LIDAR (Light Detection and Ranging) is an active remote sensing technique that measures the properties of scattered light to determine the range and intensity information of a distant target. Many studies have been reported on estimating a suite of forest characteristics such as fractional vegetation cover, leaf area index and canopy height using LIDAR data. The three characteristics of crop canopy also play key roles in vegetation radiative transfer models and yield estimation. But crops are so small and low that more than 95% pulses have ground hit, it is difficult to separate the crop and soil completely, so the methods used in forest may not be suitable for crops. In this paper, based on theoretical analysis, we propose a new method, trying to derive gap fraction of crop field using the airborne LIDAR intensity of ground hits, so we can manage to retrieve the fractional vegetation cover, LAI and the height of crop canopy. We choose corn field as study object, field validation shows that our method can accurately retrieve the three structural parameters of corn field. This study documents the great potential of LIDAR remote sensing for accurately characterizing crop canopies.
Starting Page	2107
Ending Page	2110
File Size	298288
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5650834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laser radar Agriculture Remote sensing Vegetation mapping Vegetation Soil Sensors canopy height crop fractional vegetation cover LAI
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The inversion of crop height based on small-footprint waveform airborne lidar

Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland

Canopy Height Mapping by Sentinel 1 and 2 Satellite Images, Airborne LiDAR Data, and Machine Learning

Retrieval of forest canopy LAI directly from airborne full-waveform lidar data

A voxel-based approach for canopy structure characterization using full-waveform airborne laser scanning

Mapping forest canopy height using TanDEM-X DSM and airborne LiDAR DTM

SAR radargrammetry and scanning LiDAR in predicting forest canopy height

Forest Delineation Based on Airborne LIDAR Data

Delineation of tree crown and canopy height using airborne LiDAR and aerial photo

Using airborne lidar to retrieve crop structural parameters

Similar Documents

The inversion of crop height based on small-footprint waveform airborne lidar

Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland

Canopy Height Mapping by Sentinel 1 and 2 Satellite Images, Airborne LiDAR Data, and Machine Learning

Retrieval of forest canopy LAI directly from airborne full-waveform lidar data

A voxel-based approach for canopy structure characterization using full-waveform airborne laser scanning

Mapping forest canopy height using TanDEM-X DSM and airborne LiDAR DTM

SAR radargrammetry and scanning LiDAR in predicting forest canopy height

Forest Delineation Based on Airborne LIDAR Data

Delineation of tree crown and canopy height using airborne LiDAR and aerial photo

Using airborne lidar to retrieve crop structural parameters