Cotton vegetation index remote sensing detection method based on Sentinel-2 satellite

• Main Authors: SHI YANYAN, LI PEILIN, DAI WEIXU, CHEN YONGQIANG
• Format: Patent
• Language: Chinese; English
• Published: 11.08.2020
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; RADIO DIRECTION-FINDING; RADIO NAVIGATION; TESTING

The invention relates to a cotton vegetation index remote sensing detection method based on a Sentinel-2 satellite. The cotton vegetation index remote sensing detection method comprises the followingsteps of acquiring Sentinel-2 satellite remote sensing image data of cotton in different growth stages in a research area; performing radiation correction and atmospheric correction of the remote sensing image data; determining a reflectivity image of the remote sensing image; through distributing Sentinel-2 multispectral satellite data in a plurality of wave bands from visible light to near infrared, obtaining multiple vegetation indices. The method is advantaged in that the Sentinel-2 satellite data has high spatial-temporal resolution and a specific red edge parameter waveband, ideal data sources can be provided for monitoring of different growth stages of cotton, vegetation indexes of different growth stages of cotton can be extracted more accurately and rapidly, the operation processis simple and flexible, de