Ahmed, K. R., & Akter, S. (2017). Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with landsat multi-spectral surface reflectance satellite data. Remote Sensing Applications: Society and Environment, 8(Au gust), 168–181. https://doi.org/10.1016/j.rsase.2017.08.010

Badan Pusat Statistik. (2021). Kabupaten Tanah Datar Dalam Angka 2021 (D. D. Putri (ed.). BPS Kabupaten Tanah Datar.

Badan Pusat Statistik. (2022). Kabupaten Tanah Datar Dalam Angka 2022 (Badan Pusat Statistik Kabuoaten Tanah Datar (ed.). BPS Kabupaten Tanah Datar.

Berd, I., Ekaputra, E. G., Yanti, D., & Stiyanto, E. (2022). The Use of NDVI Algorithm in Predicting The Productivity of Rice Fields of Talang District of Solok Regency. IOP Conference Series: Earth and Environmental Science, 1059(1). https://doi.org/10.1088/1755-1315/1059/1/012004

Cahyono, B. E., Nugroho, A. T., & Arifilla, A. (2019). Analisis Usia Tanaman Padi Berdasarkan Nilai NDVI Menggunakan Citra Landsat 8 (Studi Kasus : Desa Rambingundam Kecamatan Rambipuji Jember). Volume 2, 9–13.

Ekaputra, E. G., Berd, I., Arlius, F., Yanti, D., & Irsyad, F. (2020). Inventory of West Sumatera Province Area’s Cropping Pattern Based on MODIS Image Data. IOP Conference Series: Earth and Environmental Science, 515(1). https://doi.org/10.1088/1755-1315/515/1/012042

Hafizh S, A., Cahyono, A. B., & Wibowo, A. (2013). Penggunaan Algoritma NDVI Dan EVI pada Citra Multispektral untuk Analisa Pertumbuhan Padi (Studi Kasus : Kabupaten Indramayu, Jawa Barat). Geoid, 9(1), 7. https://doi.org/10.12962/j24423998.v9i1.733

Lillesand, T. M., Kiefer, R. W., & W, J. C. (1994). Remote Sensing and Image Interpretation (R. Flahive (ed.); 7th ed.). Petra Recter.

Lufilah, S. N., Makalew, A. D., & Sulistyantara, B. (2017). Pemanfaatan Citra Landsat 8 Untuk Analisis Indeks Vegetasi Di Dki Jakarta. Jurnal Lanskap Indonesia, 73–80. https://doi.org/10.29244/jli.2017.9.1.73-80

Parsa, I. Made, Dede Dirgahayu, Johannes Manalu, Ita Carolita, and Wawan KH. (2017). Uji Model Fase Pertumbuhan Padi Berbasis Citra MODIS Multi Waktu Di Pulau Lombok. Penginderaan Jauh dan Pengolahan Data Citra Digital, 14(1):51–64. doi: http://dx.doi.org/10.30536/j.pjpdcd.2017.v14.a2621.

Sadok, S., & Eko, A. (2012). Aplikasi Jaringan Syaraf Tiruan ( JST ) Backpropagation untuk Prediksi Cuaca Harian di Wilayah Banjarbaru. 9 No.2, 159–167.

Sukojo, B. M., & Kurniawan, R. H. (2021). Rice Growth Stages Mapping with Normalized Difference Vegetation Index (NDVI) Algorithm Using Sentinel-2 Time Series Satellite Imagery. International Journal on Advanced Science, Engineering and Information Technology, 11(4), 1594–1598. https://doi.org/10.18517/ijaseit.11.4.12335

Syahril. (2012). Gambaran umum Kec. Sungai tarab. 1 Maret. http://camatsungaitarab.blogspot.com/2012/03/gambaran-umum-kec-sungai-tarab.html

Wiharja, A., Laxmi, G. F., & ... (2019). Pengolahan Citra Modis Wilayah Indonesia Menggunakan Metode Discrete Wavelet Transform Untuk Menghasilkan Free Cloud Mosaicing. Seminar Nasional, 359–365. http://prosiding.uika-bogor.ac.id/index.php/semnati/article/view/322

Yanti, D., Mandang, T., Yanuar, M., Purwanto, J., & Solahudin, M. (2021). Identify Cropping Patterns of Cihea Irrigation In Cianjur Regency West Java Using Modis Image Data. ARPN Journal of Engineering and Applied Sciences, 16(13), 1371–1378.

Yusuf, M. M. (2018). Analisis Indeks Vegetasi Pertumbuhan dan Produktivitas Padi dengan Nilai NDVI Citra Modis. In International Journal on Advanced Science, Engineering and Information Technology. IPB Univesity.