Výsledky vyhledávání - "Azeddine Hachmi"

Efficiency of SPIRITS (Software for Processing and Interpretation of Remotely Sensed Image Time Serie) to Ecological Modeling: New Functionalities and Use Examples

Autor: Asmae Zbiri, Azeddine Hachmi, Fatima Ezzahrae El Alaoui-Faris, Herman Eerens, Dominique Haesen

Publikováno v: WSEAS TRANSACTIONS ON SIGNAL PROCESSING. 18:172-179

We studied the effectiveness of SPIRITS processing software used to monitor drought. In this article, we propose practice steps and we prove that ecological modeling can be available with remote sensing data on a larger scale (for any place in the wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::37adadb69e3faba3c07d4b54d154c1db
https://doi.org/10.37394/232014.2022.18.24

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Rangelands and Pastoralism Towards a New Strategy of Development in the World

Autor: Azeddine , Hachmi, Asmae Zbiri, Fatima Ezzahrae El Alaoui-Faris

Publikováno v: EARTH SCIENCES AND HUMAN CONSTRUCTIONS. 2:147-157

After addressing the subject of conservation of Moroccan and African rangelands, in this work we try to linkage these lands on a global scale. With the pandemic of COVID-19 and the impacts of climate change these rural populations have suffered great

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a90578d90950497252129b67233dd2a9
https://doi.org/10.37394/232024.2022.2.18

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New Investigation and Challenge for Spatiotemporal Drought Monitoring Using Bottom-Up Precipitation Dataset (SM2RAIN-ASCAT) and NDVI in Moroccan Arid and Semi-Arid Rangelands

Autor: Asmae Zbiri, Azeddine Hachmi, Dominique Haesen, Fatima Ezzahrae El Alaoui-Faris

Publikováno v: Ekológia (Bratislava). 41:90-100

Remotely sensed soil moisture products showed sensitivity to vegetation cover density and soil typology at regional dryland level. In these regions, drought monitoring is significantly performed using soil moisture index and rainfall data. Recently,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0861bbb2fd2c491e8e172f6c2dd1a477
https://doi.org/10.2478/eko-2022-0010

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Human-assisted intelligent computing and ecological modeling (drought early warning system)

Autor: Asmae Zbiri, Azeddine Hachmi

Publikováno v: Human-Assisted Intelligent Computing ISBN: 9780750348010

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e19488af437eeb17433b373ab9c1d248
https://doi.org/10.1088/978-0-7503-4801-0ch11

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Performance Tests to Modeling Future Climate–vegetation Interactions in Virtual World: an Option for Application of Remote Sensed and Statistical Systems

Autor: Azeddine Hachmi, Asmae Zbiri, Dominique Haesen, Fatima Ezzahrae El Alaoui-Faris, David A. Vaccari

Publikováno v: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. 18:178-189

Working in the virtual world is different to real experiment in field. Nowadays, with remote sensing and new analysis programs we can assure a quick response and with less costs. The problem is efficiency of these methods and formulation of an exact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b766b47a399debecbf43f7657e00f02c
https://doi.org/10.37394/23209.2021.18.22

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