| 187 Geoplanning Vol 4, No. 2, 2017, 187-200 Journal of Geomatics and Planning E-ISSN: 2355-6544 http://ejournal.undip.ac.id/index.php/geoplanning doi: 10.14710/geoplanning.4.2.187-200 LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA S. Arjasakusuma a,b , P. Danoedoro a,b , S. Herumurti a,b , Y.A. Nugroho a , P.A. Aryaguna a,b a Remote Sensing Dept., Geographic Information Science Major, Faculty of Geography, Gadjah Mada University, Indonesia b Graduate School of Remote Sensing, Faculty of Geography, Gadjah Mada University, Indonesia Abstract: Paddy field area and its cropping intensity are main information used to measure the crop production and the response of crop to changing climate conditions. Remote sensing technology has been widely used to map cropping pattern of paddy mostly using spectral analysis of multi-date multispectral data of remote sensing. However, the cropping intensity of paddy was also influenced by the characteristics of planted land to paddy field which defines the level of land suitability for planting paddy. This research aimed to map paddy rotation using single date ALI imagery by assessing the land and soil characteristics based on the land suitability parameters for planting paddy. Soil characteristics such as texture, acidity level, P205 (phosphor) and C-organic level collected from field work and terrain characteristics such as landform, surface water, and drainage density from visual delineation of SRTM 90 m were collected as inputs for the decision tree analysis to map the repetition of paddy planting throughout the year. The results showed the overall accuracy of 85% ± 8% (95 % level of confidence) for the final paddy rotation map where 2-times paddy per year was mostly found in the study area. Copyright © 2017 GJGP-UNDIP This open access article is distributed under a Creative Commons Attribution (CC-BY-NC-SA) 4.0 International license. Arjasakusuma, S., Danoedoro, P., Herumurti, S., Nugroho, Y.A., Aryaguna, P.A., (2017). Land-Soil Characteristics For Mapping Paddy Cropping Intensity Using Decision Tree Analysis From Single Date Ali Imagery In Magelang, Central Java, Indonesia. Geoplanning: Journal of Geomatics and Planning, 4(2), 187-200. doi: 10.14710/geoplanning.4.2.187-200 1. INTRODUCTION Rice is the product of the paddy ( Oryza sativa) which is the world dominant staple food for human. Around 480 million tons of rice were annually produced to supply the demand of global citizen especially the poor fulfilling up to 50 % of their calories (Muthayya, Sugimoto, Montgomery, & Maberly, 2014). Same situation occurred in Indonesia, rice is one of the main foods for most of the poor citizen of the country where 20-25 % of total expenditure was used for rice consumption (Timmer, 2004). Considering the large rice consumption, population increase and the declining of paddy field area due to land use conversion in Indonesia, accurate and annual information about the area of paddy field and the intensity of paddy planting is important to measure the potential of annual rice production. These two main parameters can be used to measure the actual and potential deficit of rice production so that further policy can be carried to prevent further problem such as inflation. In addition, information regarding crop intensity can be used as baseline information for measuring the impact of climate variability to the agricultural area as the dependence of agricultural area to climate conditions (Xiao et al., 2006) as well as the effect of intensified agriculture pressure to soil quality and biogeochemical cycles (Yan et al., 2014). Remote sensing has been considered as valuable technology to provide important information regarding precise crop management with the ability to monitor the seasonality of crop and soil conditions and time dependence crop management (Moran, Inoue, & Barnes, 1997). Seasonal and time dependence cropping pattern in paddy field area is one of the main information that can be monitored using remote sensing. Various remote sensing methods have been employed to map the cropping pattern information of OPEN ACCESS Article Info: Received: 15 Dec 2016 in revised form: 1 May 2017 Accepted: 7 July 2017 Available Online: 30 Oct 2017 Keywords: Decision Tree, Cropping Intensity, Paddy Field, Land Characteristics Corresponding Author: Sanjiwana Arjasakusuma Gadjah Mada University Email: sanjiwana.arjasakusuma@uqconn ect.edu.au