Exploring the use of Sentinel-2 datasets and environmental variables to model wheat crop yield in smallholder arid and semi-arid farming systems-Reference-Cited by-同舟云学术

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Exploring the use of Sentinel-2 datasets and environmental variables to model wheat crop yield in smallholder arid and semi-arid farming systems

Published:2023-04 Issue: Volume:869 Page:161716
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Qader Sarchil Hama,Utazi Chigozie Edson,Priyatikanto Rhorom,Najmaddin Peshawa,Hama-Ali Emad Omer,Khwarahm Nabaz R.,Tatem Andrew J.,Dash Jadu

Funder

UK Research and Innovation

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference101 articles.

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2. Psychology as the science of self-reports and finger movements: whatever happened to actual behavior?;Baumeister;Perspect. Psychol. Sci.,2007

3. Remote sensing products and services in support of agricultural public policies in Africa: overview and challenges;Bégué;Front.Sustain.Food Syst.,2020

4. Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics;Bolton;Agric. For. Meteorol.,2013

5. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data;Bradley;Remote Sens. Environ.,2007

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