Mamane Barkawi Mansour Badamassi
Biographic Data
| ID | 9519225 |
|---|---|
| NAME | Mamane Barkawi Mansour Badamassi |
| GIVEN NAMES | Mamane Barkawi Mansour |
| FAMILY NAME | Badamassi |
| SIGNATURE | BADAMASSI M B M |
| AFFILIATIONS | Mohammed V University |
| ORCID | 0000-0002-4716-1384 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using Multisensor Earth Observation Data to Understand the Development of the Kourtéré Kori Alluvial Fan and Its Impact on the Hydrology of the Niger River
The Niger River (NR) is threatened with silting up due to the evolution of alluvial fans (AFs) in the Niamey region. The most significant is the Kourtéré AF. This study aims to map the spatial extent of this AF and analyze its progression and impact on the NR using a machine learning algorithm such as support vector machine on Landsat and Sentinel-2 images from between 1985 and 2021. Sentinel-1 data were then used to generate a digital terrain mo…
A New Index to Better Detect and Monitor Agricultural Drought in Niger Using Multisensor Remote Sensing Data
In this study, we propose a new remote sensing–based drought index, the agricultural drought condition index (ADCI), for agricultural drought monitoring in the agricultural area of Niger. It is defined as a first principal component analysis (PCA) of precipitation condition index (PCI), vegetation condition index (VCI), temperature condition index (TCI), and evapotranspiration condition index (ETCI). ADCI integrates multisource remote sensing dat…
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A New Index to Better Detect and Monitor Agricultural Drought in Niger Using Multisensor Remote Sensing Data
In this study, we propose a new remote sensing–based drought index, the agricultural drought condition index (ADCI), for agricultural drought monitoring in the agricultural area of Niger. It is defined as a first principal component analysis (PCA) of precipitation condition index (PCI), vegetation condition index (VCI), temperature condition index (TCI), and evapotranspiration condition index (ETCI). ADCI integrates multisource remote sensing dat…
Using Multisensor Earth Observation Data to Understand the Development of the Kourtéré Kori Alluvial Fan and Its Impact on the Hydrology of the Niger River
The Niger River (NR) is threatened with silting up due to the evolution of alluvial fans (AFs) in the Niamey region. The most significant is the Kourtéré AF. This study aims to map the spatial extent of this AF and analyze its progression and impact on the NR using a machine learning algorithm such as support vector machine on Landsat and Sentinel-2 images from between 1985 and 2021. Sentinel-1 data were then used to generate a digital terrain mo…
Geography (2 works) · Geology (2 works) · Geology (2 works) · Remote sensing (2 works) · Agriculture (1 work) · Alluvial fan (1 work) · Alluvium (1 work) · Cartography (1 work) · Climate variability and models (1 work) · Computer Science (1 work)