Prospective analysis of spatial heterogeneity influence on the concordance of remote sensing drought indices: a case of semi-arid agrosystems in Morocco (Moulouya and Tensift watersheds)-Reference-Cited by-同舟云学术

Prospective analysis of spatial heterogeneity influence on the concordance of remote sensing drought indices: a case of semi-arid agrosystems in Morocco (Moulouya and Tensift watersheds)

Published:2022-07-14 Issue:27 Volume:37 Page:14899-14924
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Hanadé Houmma Ismaguil¹²^ORCID,El Mansouri Loubna¹,Gadal Sébastien²,Mamane Barkawi Mansour Badamassi³,Hadria Rachid⁴

Affiliation:

1. Hassan II Institute of Agronomy and Veterinary, Department of Geodesy and Topography, Geomatics Science and Engineering, Rabat, Morocco

2. Aix Marseille Univ, Université Côte d'Azur, Avignon Université, CNRS, ESPACE, UMR 7300, Avignon, France

3. Drone Services Niger (DSN), Niamey, Niger

4. National Institute of Agricultural Research (INRA), CRRA of Marrakech, Marrakech, Morocco

Funder

IsDB scholarship.

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2092219

Reference72 articles.

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2. Exploring VIIRS Continuity with MODIS in an Expedited Capability for Monitoring Drought-Related Vegetation Conditions

3. Contribution of Land Surface Temperature (TCI) to Vegetation Health Index: A Comparative Study Using Clear Sky and All-Weather Climate Data Records

4. The roles of NDVI and Land Surface Temperature when using the Vegetation Health Index over dry regions

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