An ArcGIS Pro workflow to extract vegetation indices from aerial imagery of small‐plot turfgrass research-Reference-Cited by-同舟云学术

An ArcGIS Pro workflow to extract vegetation indices from aerial imagery of small‐plot turfgrass research

Published:2021-12-31 Issue:1 Volume:62 Page:503-511
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Wilber Amy L.¹^ORCID,Czarnecki Joby M.P.²,McCurdy James D.¹^ORCID

Affiliation:

1. Dep. of Plant and Soil Sciences Mississippi State Univ. Mississippi State MS 39762 USA

2. Geosystems Research Institute Mississippi State Univ. Mississippi State MS 39762 USA

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20669

Reference22 articles.

1. Using hyperspectral radiometry to predict the green leaf area index of turfgrass

2. Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat 1

3. Baldwin C. M. Koehler J. F. Yendrick C. Sullivan D. McCall D. S. Clady R. &Burrell S.(2019).Drones and data collection: Generating powerful data driven decisions in a more efficient and economical manner [Abstract]. ASA CSSA and SSSA International Annual Meetings (2019) San Antonio TX.https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/121846

4. Preemergence Herbicide Effects on Establishment and Tensile Strength of Sprigged Hybrid Bermudagrass

5. Comparison of Turfgrass Visual Quality Ratings with Ratings Determined Using a Handheld Optical Sensor

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