Spatial-temporal dynamics of paddy productivity on the north coast of Java island, Indonesia based on the principal component analysis of MODIS NDVI anomaly data

Novie Indriasari; Orbita Roswintiarti; Kustiyo Kustiyo; Fadilah Halim Rasyidy; Ratih Dewanti; Andy Indradjad; Babag Purbantoro; Anisa Rarasati; Ogi Gumelar; Yudhi Prabowo; Mokhamad Subehi

Universitas Indonesia Conferences, 2nd International Conference of Science and Applied Geography

Novie Indriasari, Orbita Roswintiarti, Kustiyo Kustiyo, Fadilah Halim Rasyidy, Ratih Dewanti, Andy Indradjad, Babag Purbantoro, Anisa Rarasati, Ogi Gumelar, Yudhi Prabowo, Mokhamad Subehi

Last modified: 2022-11-16

Abstract

Understanding the dynamics of paddy productivity is necessary to improve the effectiveness of agricultural land development programs. This research presents the principal component analysis (PCA) technique for mapping the spatial-temporal evolutions of paddy productivity based on the 8-day Moderate Resolution Imaging Spectrometer (MODIS) Normalized Difference Vegetation Index (NDVI) anomaly from 2000 to 2020. The regencies of Karawang, Subang, and Indramayu on the north coast of Java island are chosen as the study area because of their top rice production areas in Indonesia. The results show that the first leading PCA of the NDVI anomaly is related to the interannual variability of paddy productivity with 3-4 year cycles. The spatial and temporal dynamics of the first mode of eigenvectors and principal component time series can generally be grouped into nine categories. Two important categories to note are category-1 (1 January – 19 March) and category-8 (12 September – 16 December). In category-1, the NDVI anomalies move from north to middle and middle to north areas in Karawang and Subang regencies, respectively. In Indramayu Regency, the NDVI anomalies relatively remain in almost all areas. In contrast, in category-8 the NDVI anomalies move from the middle to northern areas in Karawang, Subang, and Indramayu regencies.