Seasonal visible, near-infrared and mid-infrared spectra of rice canopies in relation to LAI and above-ground dry phytomass-Reference-Cited by-同舟云学术

Seasonal visible, near-infrared and mid-infrared spectra of rice canopies in relation to LAI and above-ground dry phytomass

Published:1989-02 Issue:2 Volume:27 Page:119-127
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Shibayama Michio,Akiyama Tsuyoshi

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference20 articles.

1. An evaluation of chlorophyll content and leaf area index of canopies based on spectral reflection characteristics;Aoki;Res. Rep. Natl. Inst. Environ. Stud., Jpn.,1985

2. Estimation of leaf area index from spectral reflectance of wheat under different cultural practices and solar angles;Asrar;Remote Sens. Environ.,1985

3. Spectral estimation of green leaf area index of oats;Best;Remote Sens. Environ.,1985

4. Winter wheat vegetation indices calculated from combinations of seven spectral bands;Dusek;Remote Sens. Environ.,1985

5. Evaluation and interpretation of Thematic Mapper ratios in equations for estimating corn growth parameters;Gardner;Remote Sens. Environ.,1985

Cited by 101 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Global 24 solar terms phenological MODIS normalized difference vegetation index dataset in 2001–2022;Geoscience Data Journal;2024-08-08

2. Developing a Hyperspectral Remote Sensing-Based Algorithm to Diagnose Potato Moisture for Water-Saving Irrigation;Horticulturae;2024-07-31

3. Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer learning;ISPRS Journal of Photogrammetry and Remote Sensing;2024-04

4. Construction of a potato moisture diagnosis model based on hyperspectral characteristic parameters;2023-08-02

5. Early Detection of Wheat Yellow Rust Disease and Its Impact on Terminal Yield with Multi-Spectral UAV-Imagery;Remote Sensing;2023-06-27