Discrimination of pearl millet in the rainfed agroecosystem using multitemporal sentinel-1 SAR data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology
Link
https://link.springer.com/content/pdf/10.1007/s43538-023-00218-1.pdf
Reference25 articles.
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2. Adam, E., Mutanga, O., Odindi, J., Abdel-Rahman, E.M.: Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers. Int. J. Remote Sens. 35(10), 3440–3458 (2014). https://doi.org/10.1080/01431161.2014.903435
3. Azare, I.M., Dantata, I.J., Abdullahi, M.S., Adebayo, A.A., Aliyu, M.: Effects of climate change on pearl millet (Pennisetum glaucum [L. R. Br.]) production in Nigeria. J. Appl. Sci. Environ. Manage. 24(1), 157–162 (2020). https://doi.org/10.4314/jasem.v24i1.23
4. Bazzi, H., Baghdadi, N., Hajj, M.E., Zribi, M., Min, D.H.T., Ndikumana, E., Courault, D., Belhouchette, H.: Mapping paddy rice using sentinel-1 SAR time series in Camargue, France. Remote Sens. 11(7), 887–902 (2019). https://doi.org/10.3390/rs11070887
5. Beck, H.E., Zimmermann, N.E., McVicar, T.R., Vergopolan, N., Berg, A., Wood, E.F.: Present and future Köppen-Geiger climate classification maps at 1-km resolution. Sci. Data 5, 180–214 (2018). https://doi.org/10.1038/sdata.2018.214
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