Overview

Original Research

THE ANALYSIS OF SDGS IN THE MANGROVE AREA OF DKI JAKARTA USING THE HYBRID METHOD (USING REMOTE SENSING AND PROSPECTIVE ANALYSIS)

TJONDROARGO TANDIO 1, CECEP KUSMANA 2, AKHMAD FAUZI 3, and ENDANG HILMI 4.

Vol 17, No 11 ( 2022 )   |  DOI: 10.5281/zenodo.7409122   |   Author Affiliation: Graduate School of Natural Resources and Environmental Management Science, IPB University. IPB Dramaga Campus, Bogor, West Java, Indonesia 1; Department of Silviculture, Faculty of Forestry and Environment, IPB University. IPB Dramaga Campus, Bogor, West Java, Indonesia 2; Department of Natural Resources and Environment Economics, Faculty of Economics Management, IPB University. IPB Dramaga Campus, Bogor, West Java, Indonesia 3; Faculty of Fisheries and Marine Science, Universitas Jenderal Soedirman. Jl. Dr. Suparno, Purwokerto Utara, Banyumas, Indonesia 4.   |   Licensing: CC 4.0   |   Pg no: 2137-2154   |   To cite: TJONDROARGO TANDIO, et al., (2022). THE ANALYSIS OF SDGS IN THE MANGROVE AREA OF DKI JAKARTA USING THE HYBRID METHOD (USING REMOTE SENSING AND PROSPECTIVE ANALYSIS). 17(11), 2137–2154. https://doi.org/10.5281/zenodo.7409122   |   Published on: 30-11-2022

Abstract

Mangrove ecosystems have many benefits of ecosystem services and can be one of the supporting factors for the SDGs. Indonesia, which is an archipelagic country and is located in the tropics, has a fairly extensive mangrove forest. DKI Jakarta is one of the provinces in Indonesia that has mangrove areas in its coastal areas. Changes in area or increases in the area can always occur over time, so it is necessary to monitor mangrove areas and identify variables that influence this. Based on this, the purpose of this study is to determine the actual and potential condition of the mangrove area and the variables that influence the North Coast of Jakarta. This research was conducted in the northern coastal area of DKI Jakarta Province. The method used in this research is a survey method and prospective analysis by utilizing institutional data and secondary data through remote sensing and GIS and Micmac processing. The results of Sentinel 2A image analysis using the NDVI method for the mangrove area on the north coast of Jakarta is 1192.201 Ha and several key variables.

Keywords

Mangrove actual and potential, remote sensing, prospective analysis, SDGs