Rice yield prediction model using normalized vegetation and water indices from Sentinel-2A satellite imagery datasets
Aung Myint Htun, Md. Shamsuzzoha, Tofael Ahamed
| Year of publication: |
2023
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|---|---|
| Authors: | Htun, Aung Myint ; Shamsuzzoha, Md. ; Ahamed, Tofael |
| Published in: |
Asia-Pacific journal of regional science. - [Singapore] : Springer Singapore, ISSN 2509-7954, ZDB-ID 2882268-7. - Vol. 7.2023, 2, p. 491-519
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| Subject: | Linear regression | Multiple regression | Myanmar | Rice crop | Satellite remote sensing | Yield prediction | Reisanbau | Rice production | Prognoseverfahren | Forecasting model | Weltraumtechnik | Space technology | Ernteertrag | Crop yield | Satellitenkommunikation | Satellite communications | Regressionsanalyse | Regression analysis | Schätztheorie | Estimation theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s41685-023-00299-2 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014327340