|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Random Forest classification of land cover from Sentinel satellite images in 2021 for the Agro2Ecos project area, Maradi, Niger |
|
Identification Number: |
doi:10.23708/JQK9E6 |
|
Distributor: |
DataSuds |
|
Date of Distribution: |
2023-01-04 |
|
Version: |
1 |
|
Bibliographic Citation: |
Mahuzier, C.; Bodo, B.S; Maman Sani, A.; Hamissou, A.C, 2023, "Random Forest classification of land cover from Sentinel satellite images in 2021 for the Agro2Ecos project area, Maradi, Niger", https://doi.org/10.23708/JQK9E6, DataSuds, V1 |
|
Citation |
|
|
Title: |
Random Forest classification of land cover from Sentinel satellite images in 2021 for the Agro2Ecos project area, Maradi, Niger |
|
Identification Number: |
doi:10.23708/JQK9E6 |
|
Authoring Entity: |
Mahuzier, C. (Institut de recherche pour le développement (IRD)) |
|
Bodo, B.S (Université de Tillabéri) |
|
|
Maman Sani, A. (Université Dan Dicko Dankoulodo de Maradi) |
|
|
Hamissou, A.C (Université de Diffa) |
|
|
Distributor: |
DataSuds |
|
Distributor: |
Forçages et Flux dans la Zone Critique (F2ZC) |
|
Access Authority: |
iEES-Paris data |
|
Access Authority: |
Mahuzier, C. |
|
Depositor: |
Mahuzier, C. |
|
Date of Deposit: |
2022-12-19 |
|
Holdings Information: |
https://doi.org/10.23708/JQK9E6 |
|
Study Scope |
|
|
Keywords: |
Agricultural Sciences, Earth and Environmental Sciences, land cover, satellite image, copernicus sentinel, geographic dataset |
|
Topic Classification: |
Remote sensing, Geography, environment and climatology |
|
Abstract: |
This dataset was acquired using the combination of Sentinel-1 radar and Sentinel-2 optical image time series with indices (BI2, NDVI, MSAVI2, NDII). A total of 112 sentinel images were acquired in 2021 allowing a coherent and reliable mapping of land use in relation to the cropping systems around Maradi, Niger. Rainfed cropping systems (millet, cowpea, sorghum, groundnut and nutsedge) are well classified and occupy more than 94% of the cultivated area. In contrast, irrigated crops occupy only 1% of the total area. This work was conducted during the Agro2Ecos research project, funded by the McKnight Foundation, the overall objective of which was the evaluation of organic waste reuse as a means to improve soil quality and food production in West Africa. The dataset highlights the dominance of rainfed cropping systems and points towards the need to further investigate the agro valorization of organic waste in these cultivated areas. |
|
Time Period: |
2021-01-12-2021-10-18 |
|
Country: |
Niger |
|
Geographic Unit(s): |
Maradi |
|
Geographic Bounding Box: |
|
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Other Study Description Materials |
|
|
Label: |
Land_cover_Maradi_2021_10m_7class.png |
|
Text: |
Quicklook |
|
Notes: |
image/png |
|
Label: |
areas.ods |
|
Text: |
calculation of areas in ha for each class |
|
Notes: |
application/vnd.oasis.opendocument.spreadsheet |
|
Label: |
Land_cover_Maradi_2021_10m_7class.png |
|
Text: |
Land cover map |
|
Notes: |
image/png |
|
Label: |
shapefile.zip |
|
Text: |
shapefile of land cover classes |
|
Notes: |
application/zipped-shapefile |
|
Label: |
styles_Qgis.zip |
|
Text: |
qml files for each class of the land cover |
|
Notes: |
application/zip |