REMOTE SENSING ANALYSIS OF NITROGEN DIOXIDE GHG EMISSIONS SUPPORTS RAP FOR MITIGATING CLIMATE CHANGE IMPACTS IN SITUBONDO REGENCY

Mochamad  Thohiron; Dwie Retna  Suryaningsih; Achmadi  Susilo; Pipin Yunita  Sari; Faez M.  Hassan

doi:10.53067/ijomral.v5i2.428

Authors

Mochamad Thohiron Wijaya Kusuma University
Dwie Retna Suryaningsih Wijaya Kusuma University
Achmadi Susilo Wijaya Kusuma University
Pipin Yunita Sari Delta Pratama CV., Sidoarjo
Faez M. Hassan Mustansiriyah University

DOI:

https://doi.org/10.53067/ijomral.v5i2.428

Keywords:

lst, mitigation, NO2, rap

Abstract

The study aims to inventory and analyse GHG Nitrogen Dioxide (NO₂) emissions to support regional action plans (RAP in the mitigation _and adaptation of PI (climate change) in Situbondo Regency. It is hoped that the research output can be used by regional governments to implement mitigation and adaptation actions. The research area in Situbondo Regency was carried out for five months. The analysis method uses a remote sensing system through exploration of Sentinel- 5P satellite data for GHG NO₂ gas numerical spatial data on a cloud-based digital platform, JavaScript Google Earth Engine (GEE) and Google Colaboratory Research (GColab) 2023, image digitization and outlasting in QGIS software. Research data is remote sensing data access to the NO₂ gas datasets Sentinel_5P OFFL_ NO₂ Offline, MOD 11A1.061_Terra LST, and EDG 1km. Statistical data analysis using SAS v.jmp and Genstat v.18. The results show that the highest NO₂ density variable in 2017 was 0,66 – 2,12 g/m², then decreased to 0,65 – 2,01 g/m² in 2019 and to 0,63 – 1,94 g/m² in 2021, with the highest NO₂ density in the Banyuglugur sub-district. The highest range of LST variables in 2017 was 19 – 39 0C, then increased to 21 – 40 0C in 2019, and in 2021 decreased again to 18 – 38 0C. Regional variables The highest LST distribution in 2017 and 2019 was relatively the same in each sub-district, namely Situbondo, Panarukan, Panji, Kapongan and Jangkar. NO₂ and LST density variables in 2017 and 2019 were lowly correlated (r = 0.55), but in 2021, they were not correlated.

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