Remote sensing monitoring of rice growth under Cnaphalocrocis medinalis (Guenée) damage by integrating satellite and UAV remote sensing data

Author:

Chen Chen123,Bao Yunxuan123,Zhu Feng4,Yang Rongming4

Affiliation:

1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China

2. Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing, China

3. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, China

4. Jiangsu Agriculture Commission, Plant Protection Station in Jiangsu Province, Nanjing, China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

Informa UK Limited

Reference58 articles.

1. LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis

2. Inversion of maize leaf area index from UAV hyperspectral and multispectral imagery

3. Estimation Models of Physiological and Ecological Parameters of Rice Damaged by Cnaphalocrocis Medinalis Under Controlled Field Experiments and Natural Field Experiments;Bao Y.;Acta Ecologica Sinica,2023

4. Soil Salinization Monitoring Method Based on UAV-Satellite Remote Sensing Scale-Up;Chen J.;Transactions of the Chinese Society for Agricultural Machinery,2019

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