Aplikasi Remote Sensing dan Geographic Information System untuk Perencanaan Penggunaan Lahan Pertanian Berbasis Agroekosistem di Kota Denpasar

Abstract

Remote Sensing and Geographic Information System Application for
Agroecosystem Based Agricultural Land Planning in Denpasar City

This study aims to determine the level of potential agroecosystem land
suitability, compile databases, build information systems and create maps of land use
planning for food crops and horticulture based on remote sensing and Geographic
Information System (GIS). This research took place from September 2018 - December
2018 using an exploratory method which included analysis of satellite imagery, field
surveys, analysis of field data and laboratory data, land suitability classification,
mapping of land suitability classes, compiling data bases, building information
systems, commodity zoning, planning land use, and mapping of land use planning.
Potential land suitability classes for irrigated rice fields are generally very suitable in
all of Denpasar City (41 subak) but additional fertilizer is needed, especially N.
Potential land suitability classes for horticultural (vegetable and fruit) commodities are
classified as appropriate (S2) through drainage improvements and fertilization.
Climate factors are generally very suitable (S1) for food crops, and suitable (S2) for
horticulture plants. The train factor is generally classified as very suitable (S1) in food
crops and horticulture unless the drainage factor is relatively slow and nutrient
availability is classified as moderate.