DOI: https://doi.org/10.14710/geoplanning.8.2.127-136

The Spatial Model of Paddy Productivity Based on Environmental Vulnerability in Each Phase of Paddy Planting

Rahmatia Susanti  -  Indonesia Geospatial Agency, Indonesia
S. Supriatna  -  Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Indonesia
R. Rokhmatuloh  -  Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Indonesia
*Masita Dwi Mandini Manessa  -  Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Indonesia
Aris Poniman  -  Department of Geography, Faculty of Mathematics and Natural Sciences, Indonesia University, Indonesia, Indonesia
Yoniar Hufan Ramadhani  -  Geospatial Information Agency, Indonesia

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Abstract

The national primary always growth and increase in line with the increase in population, such as the rise of rice consumption in Indonesia.  Paddy productivity influenced by the physical condition of the land and the declining of those factors can detected from the environmental vulnerability parameters. Purpose of this study was to compile a spatial model of paddy productivity based on environmental vulnerability in each planting phase using the remote sensing and GIS technology approaches. This spatial model is compiled based on the results of the application of two models, namely spatial model of paddy planting phase and paddy productivity. The spatial model of paddy planting phase obtained from the analysis of vegetation index from Sentinel-2A imagery using the random forest classification model. The variables for building the spatial model of the paddy planting phase are a combination of NDVI vegetation index, EVI, SAVI, NDWI, and time variables. The overall accuracy of the paddy planting phase model is 0.92 which divides the paddy planting phase into the initial phase of planting, vegetative phase, generative phase, and fallow phase. The paddy productivity model obtained from environmental vulnerability analysis with GIS using the linear regression method. The variables used are environmental vulnerability variables which consist of hazards from floods, droughts, landslides, and rainfall. Estimation of paddy productivity based on the influence of environmental vulnerability has the best accuracy done at the vegetative phase of 0.63 and the generative phase of 0.61 while in the initial phase of planting cannot be used because it has a weak relationship with an accuracy of 0.35.

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Keywords: Environmental Vulnerability, Paddy Productivity, Paddy Planting Phase, Random Forest Classification Model, Regression Model, Sentinel-2A

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Section: Original Research
Language : EN
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