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All Journal International remote sensing application journal Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Management Research)
Kurnia Anggraini
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Astronomy Computer Science & IT Earth & Planetary Sciences Education

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THE MAPPING OF TEA HARVESTING AREA USING PLANETSCOPE IMAGERY Wikan Jaya Prihantarto; Muhammad Ismail; Eva Purnamasari; Kurnia Anggraini; Erisa Ayu Waspadi Putri; Hendry Frananda; Indah Setiawati
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.95

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.
Analisis Potensi Kekeringan Meteorologis di Daerah Aliran Sungai (DAS) Ciliwung (Analysis of Meteorological Drought Potential in The Ciliwung River Basin) Dyah Rizky Alyudin; Amanah Anggun Prambandari; Nur Azizah; Kurnia Anggraini; Tito Latif Indra
Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Management Research) Vol 8 No 1 (2024): Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Manageme
Publisher : Asosiasi Peneliti dan Teknisi Kehutanan dan Lingkungan Hidup Indonesia (APTKLHI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/jppdas.2024.8.1.73-92

Abstract

The Ciliwung River and the Ciliwung River Basin play an important role in the availability of water in the river basin and its surrounding areas. However, the sustainability of water availability in the Ciliwung River Basinrequires attention to threats such as drought. Research on the potential for drought is one step in anticipating water availability in the Ciliwung River Basinand its surrounding areas. Meteorological drought is a form of drought that can be detected through simple steps using rainfall data as the main data. With rainfall data, drought potential analysis can be carried out using 3-monthly SPI calculations, and statistical analysis of rainfall and its relationship to meteorological phenomena closely related to drought such as ENSO. Statistical analysis and SPI show that almost all observation points have indications of drought, namely Cibereum Bogor, Citeko, Gadog, Pinangsia, Ancol Pump, North Sunter Reservoir, Cempaka Baru, Bukit Duri, Manggarai and Kemayoran. In Katulampa, there are different analysis results, withstatistical analysis showings a decreasing trend in rainfall while the SPI results show normal values. This shows that overall statistical analysis and SPI can support each other. Almost all areas of the Ciliwung River Basinshow SPI values ​​in the normal to dry category for October 2023 and increasingly dry in several points from November to December 2023, which are in Citeko, Depok, Cibereum, Gadog, Manggarai, and Kemayoran. However, SPI and statistical analysis have weaknesses, namely its dependence on the amount of rainfall observation data available. 
Co-Authors Amanah Anggun Prambandari Ari Nurweni Dyah Rizky Alyudin Erisa Ayu Waspadi Putri Eva Purnamasari Hendry Frananda, Hendry Indah Setiawati Muhammad Ismail Nur Azizah Tito Latif Indra Ujang Suparman Wikan Jaya Prihantarto