Remote Sensing Applications II: Climate Change Perspectives in Agriculture
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1188-8_17
Reference7 articles.
1. Alam KF, Ahamed T (2022) Assessment of Land Use Land Cover Changes for Predicting Vulnerable Agricultural Lands in River Basins of Bangladesh Using Remote Sensing and a Fuzzy Expert System. Remote Sensing 14(21):5582. https://doi.org/10.3390/rs14215582
2. Arab ST, Salari T, Noguchi R, Ahamed T (2022) Land Suitability Analysis for Grape (Vitis vinifera L.) Production Using Satellite Remote Sensing, GIS, and Analytical Hierarchy Process. In: Remote Sensing Application: Regional Perspectives in Agriculture and Forestry. Springer Nature Singapore, Singapore, pp 149–184. https://doi.org/10.1007/978-981-19-0213-0_6
3. Das AC, Noguchi R, Ahamed T (2020) Integrating an expert system, GIS, and satellite remote sensing to evaluate land suitability for sustainable tea production in Bangladesh. Remote Sensing 12(24):4136. https://doi.org/10.3390/rs12244136
4. Das AC, Noguchi R, Ahamed T (2021) An assessment of drought stress in tea estates using optical and thermal remote sensing. Remote Sensing 13(14):2730. https://doi.org/10.3390/rs13142730
5. Islam MM, Ahamed T, Noguchi R (2018) Land suitability and insurance premiums: A GIS-based multicriteria analysis approach for sustainable rice production. Sustainability 10(6):1759. https://doi.org/10.3390/su10061759
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