The normalized difference yellow vegetation index (NDYVI): A new index for crop identification by using GaoFen-6 WFV data-Reference-Cited by-同舟云学术

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The normalized difference yellow vegetation index (NDYVI): A new index for crop identification by using GaoFen-6 WFV data

Published:2024-11 Issue: Volume:226 Page:109417
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Wei Yanbing,Lu Miao,Yu Qiangyi,Li Wenjuan,Wang Cong,Tang Huajun,Wu Wenbin

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

National Key Research and Development Program of China

Chinese Academy of Agricultural Sciences

Ministry of Science and Technology of the People's Republic of China

The Agricultural Science and Technology Innovation Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. Evaluating Sentinel-2 red edge through hyperspectral profiles for monitoring LAI & chlorophyll content of Kinnow Mandarin orchards;Ali;Remote Sens. Appl.: Soc. Environ.,2022

2. Rice heading stage automatic observation by multi-classifier cascade based rice spike detection method;Bai;Agric. For. Meteorol.,2018

3. A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach;Cai;Remote Sens. Environ.,2018

4. Remote sensing-based crop lodging assessment: Current status and perspectives;Chauhan;ISPRS J. Photogramm. Remote Sens.,2019

5. Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system;Cho;Remote Sens. Environ.,2012

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