Remote sensing and GIS applications for sustainable food agricultural land mapping and supporting the preparation of regional spatial plans (case study of Badung Regency)

Abstract

Local Government (LG) provincial and district/city in Bali until now does not have a Regional Regulation (RR) on determination of Sustainable Food Agricultural Land (SFAL). This is related to the provision of land for non-agricultural development permits. Map of SFAL has been established as a condition for the drafting and revision of the Spatial Plan (SP) [1]. Multi-analytical research methods: super impose analysis of thematic maps, ten thematic maps of physical and environmental conditions (river basin area, land use, irrigation, relief, rainfall, elevation, regional spatial planning, land suitability, productivity, and distance from city center) will be analysed and scored to numerically scoring (numerical classification), toolbox - analysis tools-overlay-intersect. Materials and tools: Quick Bird satellite images 2013 and QGIS software 10.3. Field survey to compile a data base of SFAL at each location. Map and data base SFAL obtained from the analysis of thematic maps of physical and environmental conditions. SFAL 9,642.76 ha was recommended for the revision of SP for 2013-2033; SFAL = 8,824.36 ha is recommended to reflect SP year 2034-2054 ha and 6,510.11 ha for the drafting of SP year more than 2055 location are in the. SFAL location are in the upstream and center (Petang, Abian Semal, and Mengwi District). Subak rice field that can be converted 829.41 ha – 3,143.66 ha is located in the districts of Kuta and Nort Kuta. Remote sensing and GIS technology can be used for SFAL mapping, through the classification of numerical thematic maps of the physical and environmental conditions of the region.

Extracting Lotus Fields Using the Spectral Characteristics of GF-1 Satellite Data

“…There are increasing requirements to monitor different crops in modern agriculture [5,6], and it is important to develop a quick, accurate method to acquire information on the area planted, distribution, and yield of lotus. Conventional survey methods are time consuming, slow, inaccurate, and difficult in terms of obtaining data, and they do not meet the management needs of modern agriculture [7,8] For example, China's Third National Land Resource Survey began in 2017 and ended in 2021, taking 5 years to complete; China's Second National Census on Sources of Pollution started at the end of 2017 and ended at the end of 2019, requiring 2 years. In addition, China's grain statistics are reported in a step-bystep manner by village-level statisticians, township statistical institutions, county-level statistical institutions, municipal statistical institutions, and provincial statistical institutions and then delivered to the National Bureau of Statistics, which takes a long time, and the statistician's professional skill , sample selection, and other aspects of each link may cause data distortion [9,10].…”