Millet yield estimates in the Sahel using satellite derived soil moisture time series-Reference-Cited by-同舟云学术

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Millet yield estimates in the Sahel using satellite derived soil moisture time series

Published:2018-11 Issue: Volume:262 Page:100-109
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Gibon François,Pellarin Thierry,Román-Cascón Carlos,Alhassane Agali,Traoré Seydou,Kerr Yann,Lo Seen Danny,Baron Christian

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference42 articles.

1. From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations;Albergel;Hydrol. Earth Syst. Sci.,2008

2. An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with US drought monitor classifications;Anderson;J. Hydrometeorol.,2013

3. From GCM grid cell to agricultural plot: scale issues affecting modelling of climate impact;Baron;Philos. Trans. R. Soc. B-Biol. Sci.,2005

4. Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring;Bolten;Ieee J Sel. Top. Appl. Earth Obs. Remote Sens.,2010

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

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4. Forecasting monthly soil moisture at broad spatial scales in sub-Saharan Africa using three time-series models: evidence from four decades of remotely sensed data;European Journal of Remote Sensing;2023-08-23

5. On The Need of a New High-Resolution L-Band Mission to Study Land/Water/Ice Interfaces;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

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