International remote sensing application journal
Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December

THE MAPPING OF TEA HARVESTING AREA USING PLANETSCOPE IMAGERY

Prihantarto, Wikan Jaya (Unknown)
Ismail, Muhammad (Unknown)
Purnamasari, Eva (Unknown)
Anggraini, Kurnia (Unknown)
Putri, Erisa Ayu Waspadi (Unknown)
Frananda, Hendry (Unknown)
Setiawati, Indah (Unknown)



Article Info

Publish Date
20 Feb 2026

Abstract

The identification of tea harvesting areas is an important part of tea culture. The use of satellite imagery for this application offers effectiveness. PlanetScope imagery has the advantage of high spatial, spectral, and temporal resolution and is widely used in agricultural and plantation studies. The objective of this study was to map tea pruning areas in the Danau Kembar Tea Plantation, Solok Regency, West Sumatra, using PlanetScope imagery. The images underwent radiometric, geometric correction and were then analyzed spectrally using the Normalized Difference Vegetation Index (NDVI) to obtain tea vegetation density classes. The image map resulting from this classification was used to identify the spatial distribution of harvesting and non-harvesting areas. The mapping results were validated by field surveys, and accuracy calculations were performed using the confusion matrix method. The findings showed that 250.50 hectares or 90.37% of the study area, are harvesting areas, with mapping accuracy reaching 84.0%. This study can provide an important reference for monitoring plantation land management, production estimation, and tea harvesting.

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Journal Info

Abbrev

IRSAJ

Publisher

Subject

Astronomy Computer Science & IT Earth & Planetary Sciences Education

Description

This journal covers the scope of remote sensing which includes: (1) data acquisition; (2) processing data; (3) data storage and distribution; (4) application and utilization of information from remote sensing data. The focus of this journal includes: 1. Remote sensing applications 2. Multi-spectral ...