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All Journal Jurnal Ilmu Alam dan Lingkungan TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT
Bisa, Gerarda Anastasya
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Environmental Science Immunology & microbiology Social Sciences Veterinary

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Analisis Hubungan NDVI dan LST Berdasarkan Citra Landsat Multitemporal di Kecamatan Lokpaikat Ilmi, Bahrul; Ayuningtyas, Efrinda Ari; Bisa, Gerarda Anastasya
Jurnal Ilmu Alam dan Lingkungan Vol. 16 No. 2 (2025): Jurnal Ilmu Alam dan Lingkungan
Publisher : Universitas Hasanuddin

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Abstract

Changes in vegetation cover and increasing land surface temperature (LST) are critical environmental issues, particularly in tropical regions vulnerable to land-use change. This study analyzes changes in the Normalized Difference Vegetation Index (NDVI) and LST, and examines their spatio-temporal relationship in Lokpaikat Sub-district, Tapin Regency. The research uses Landsat 5 TM (2009) and Landsat 8 OLI/TIRS (2016 and 2024) imagery processed via Google Earth Engine. Image processing involves creating median composites from the two best dates each year to reduce cloud effects. NDVI is calculated using the NIR and RED bands, while LST estimation follows a multi-step process: conversion of thermal radiance (Lλ), calculation of Brightness Temperature (BT), vegetation fraction (Pv), and surface emissivity (ε). The final LST in Celsius is derived from BT and ε. Statistical analysis uses pixel-based simple linear regression with Pearson’s correlation coefficient, coefficient of determination (R²), and p-value for significance testing. The results show a decrease in dense vegetation area from 8,280.05 hectares (2009) to 8,080.52 hectares (2024), accompanied by a significant rise in average LST from 22.50°C to 25.21°C. Pearson correlation between NDVI and LST reveals a very strong and significant negative relationship with r-values of -0.9265 (2009), -0.9993 (2016), and -0.9989 (2024), all with p-values < 0.001. These findings indicate that deforestation strongly contributes to land surface temperature increase, emphasizing the importance of remote sensing in environmental monitoring and sustainable land-use planning.
Spatial Database Mapping Of Paddy Fields For Agricultural Extension Workers In Banjarmasin City, South Kalimantan Ayuningtyas, Efrinda Ari; Ilmi, Bahrul; Bisa, Gerarda Anastasya; Nabila, Anandia
TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Vol 5, No 1 (2025): April
Publisher : UNIVERSITAS MUHAMMADIYAH MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/transformasi.v5i1.29789

Abstract

A Geographic Information System (GIS) is a set of systems that can be used for agricultural purposes, presenting a geospatial database of agricultural land. This database can be created using field survey data, collected using the Avenza Maps application installed on a smartphone. The data can then be presented as maps using ArcGIS software. Agricultural extension workers, Indonesia's primary agricultural development agents, must be equipped with the requisite skills to operate geospatial surveying and mapping tools. This is essential for the continuous updating of the agricultural database. The methodology employed in this service is a survey method utilizing a participatory geospatial approach, wherein farmers own the paddy fields and agricultural extension workers act as mappers. The data obtained from geotagging survey results is a crucial input for producing a map of paddy fields in each Banjarmasin City, South Kalimantan urban village. The value of this mapping lies in its potential to enhance the abilities and skills of agricultural extension workers in Food Security, Agriculture, and Fisheries Office of Banjarmasin City and initiate the procurement of a geospatial database of agricultural extension workers and a geospatial database of agricultural land at the local government level. Furthermore, the information and maps of rice fields in Banjarmasin City can be made available to the public and updated as needed.
Co-Authors Bahrul Ilmi Efrinda Ari Ayuningtyas Nabila, Anandia