Author:
Htun Aung Myint,Shamsuzzoha Md.,Ahamed Tofael
Publisher
Springer Science and Business Media LLC
Subject
Economics, Econometrics and Finance (miscellaneous),Urban Studies,Development,Renewable Energy, Sustainability and the Environment
Reference38 articles.
1. Adeniyi OD, Szabó A, Tamás J, Nagy A (2020) Wheat yield forecasting based on Landsat NDVI and SAVI time series.
2. Arab ST, Noguchi R, Ahamed T (2022) Yield loss assessment of grapes using composite drought index derived from landsat OLI and TIRS datasets. Remote sensing applications: society and environment. Springer Nature Singapore
3. Camps-Valls G, Campos-Taberner M, Moreno-Martínez A, Walther S, Duveiller G, Cescatti A, Mahecha MD, Muñoz-Maríl J, García-Haro FJ, Guanter L, Jung M, Gamon JA, Reichstein M, Running M (2021) A unified vegetation index for quantifying the terrestrial biosphere. Sci Adv 7:eabc7447. https://doi.org/10.1126/sciadv.abc7447
4. Department of Agriculture, (DOA) (2022) Monsoon rice yield production statistics obtained from the department of agriculture, Ministry of agriculture, livestock, and irrigation, contacted via this website: http://www.doa.gov.mm/doa/index.php?route=common/home. Accessed on May 25 2022
5. Duncan JMA, Dash J, Atkinson PM (2015) The potential of satellite-observed crop phenology to enhance yield gap assessments in smallholder landscapes. Front Environ Sci 3(56). https://doi.org/10.3389/fenvs.2015.00056
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