ACADSTAFF UGM

CREATION
Title : TRANSFORMASI INDEKS VEGETASI CITRA SENTINEL 2A UNTUK PEMETAAN PRODUKTIVITAS LAHAN SAWAH KABUPATEN MAGELANG
Author :

Alfiatun Nur Khasanah, S.Si., M.Sc. (1) Dian Octaviani,A.Md (2)

Date : 31 2020
Keyword : Sentinel, Vegetation Indices, Field Productivity Sentinel, Vegetation Indices, Field Productivity
Abstract : The development of Remote Sensing and Geographic Information Systems made rice production information, which usually presented in tabular data, can be developed into spatial information. Research shows the method of estimating paddy field productivity using medium resolution imagery can be applied based on vegetation spectral response. The purpose of this study is to assess the average rice production in Magelang using Citra Sentile 2A. Image processed in the form of atmospheric correction, also using maximum likelihood classification to obtain paddy field's border. Field surveys and regression analysis between the actual productivity surveys and vegetation indexes was carried out to obtain the best model. There are 8 vegetation index models used in this study. The Vegetation index gives a range of correlation coefficient values of 0.62 to 0.74. This range is categorized as a moderate and strong correlation relationship. The highest correlation coefficient value is shown by the RVI index of 0.74 which means that 74% of the sample can be represented by the model. The model results are best shown by the RVI index. The dominant rice production in the study area is in the range of 47-52 kg / 100 m2. This value is below the average production in Magelang (underestimation)
Group of Knowledge : Geografi
Original Language : Bahasa Indonesia
Level : Nasional
Status :
Published
Document
No Title Document Type Action