Applied Geo-Eye Imagery and GIS for Estimating Crop Production Based On Land Suitability in Karangasem Regency, Bali

3rd International Conference of Indonesia Society for Remote Sensing

地球科学;计算机科学

Setyowati, H.A.^1 ; Murti, S.H.^2 ; Nurani, R.^1 ; Susanti, E.^1 ; Puspitasari, S.^1 ; Ariyani, R.^1 ; Esti, P.R.^3 ; Firdausi, A.A.^3

Graduated Student from Departement of Cartography and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Sekip Utara, Sleman, Yogyakarta

55281, Indonesia^1

Lect. from Departement of Cartography and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Sekip Utara, Sleman, Yogyakarta

55281, Indonesia^2

Student from Departement of Cartography and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Sekip Utara, Sleman, Yogyakarta

55281, Indonesia^3

关键词: Agricultural productions;    Crop production;    Irrigation systems;    Land suitability;    Non-agricultural lands;    Physical environments;    Regional development;    Remote sensing and GIS;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/165/1/012025/pdf
DOI  :  10.1088/1755-1315/165/1/012025

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Farming practices are vital to agrarian countries like Indonesia. Over the years, regional development process, coupled with lack of information on agricultural production, has induced human interventions on land that markedly convert agricultural into non-agricultural land use. Therefore, estimating crop production becomes necessary for a deeper understanding on the farming potential of a region. The study was conducted in various physical environments in Karangasem Regency, Bali. It aimed to 1) estimate both crop production and productivity using land suitability approach; 2) calculate the crop production and productivity; and 3) map the type of cropping pattern and schedule in the study area. Crop production was estimated with remote sensing and Geographic Information System (GIS) techniques and based on land suitability for rice, maize, and cassava production. The results show that remote sensing and GIS are essential in the estimation of crop production and productivity that employs land suitability approach and matching method. The estimated productions of rice, maize, and cassava are 540,173.840 kg/year, 1,843,857.202 kg/year, and 903,416.517 kg/year, respectively. In addition, the cropping pattern in Karangasem Regency varies between land suitability units, as determined by subak irrigation system, weather variation, and the economic condition of farmers.