Estimation of Leaf Area Index for Wheat Crop Using Sentinel-2 Satellite Data-Reference-Cited by-同舟云学术

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Estimation of Leaf Area Index for Wheat Crop Using Sentinel-2 Satellite Data

Published:2024-05-16 Issue: Volume:4 Page:948-959
ISSN:
Container-title:World Environmental and Water Resources Congress 2024
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Author:

Yadav Manoj¹²¹³⁴,Sriram Theerdh Manikyala¹²¹³⁴,Giri Ghanshyam¹²¹³⁴,Upreti Hitesh¹²¹³⁴,Das Singhal Gopal¹²¹³⁴,Muni Narakala Likith¹²¹³⁴

Affiliation:

1. Ph.D. Research Scholar, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

2. Undergraduate Research Scholar, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

3. Assistant Professor, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

4. Associate Professor, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485477.084

Reference36 articles.

1. Effects of spatial, temporal, and spectral resolutions on the estimation of wheat and barley leaf area index using multi- and hyper-spectral data (case study: Karaj, Iran)

2. Comparison of NDVI and NDRE indices to detect differences in vegetation and chlorophyll content;Boiarskii B.;J. Mech. Contin. Math. Sci,2019

3. NONPOINT POLLUTION OF SURFACE WATERS WITH PHOSPHORUS AND NITROGEN

4. Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and-3;Clevers J. G.;International Journal of Applied Earth Observation and Geoinformation,2013

5. Influence of soil properties on maize and wheat nitrogen status assessment from Sentinel-2 data;Crema A.;Remote Sensing,2020

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