Institut d’écologie et des sciences de l’environnement de Paris

Cet espace rassemble les données de l’UMR iEES Paris. Contactez-nous à l’adresse iees.data@ird.fr si vous voulez publier des données sur cette plateforme.

Des données supplémentaires ont été recueillies dans le cadre de l'observatoire M-TROPICS  
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41 to 50 of 198 Results
Shapefile as ZIP Archive - 50.8 MB - MD5: 4530d0fa764f5bd1d09ea41fc83df8eb
shapefile of land cover classes
ZIP Archive - 18.8 KB - MD5: 59039b329ca3c2c7c0d372848b271f53
qml files for each class of the land cover
Dec 14, 2022
Bultelle, A.; Jouquet, P.; Monnin, T.; García-Ibarra, F.; Aroui Boukbida, H.; Labiadh, M., 2022, "Morphometric analysis of twelve ants species collected in Tunisia between 2018 and 2019.", https://doi.org/10.23708/JXX75R, DataSuds, V1
Characterization of 63 ants from samplings conducted in Dar Dhaoui and Chammakh from 07/11/2018 to 02/07/2019. A total of 42 samplings of 1 to 30 individuals were carried out on sight, with tweezers, close to nests or along foraging lines. For each of these samples, ants were ide...
OpenOffice Spreadsheet - 33.8 KB - MD5: 80139cc87c42946e6a7c87b36c6afe89
application/vnd.oasis.opendocument.text - 9.7 MB - MD5: 9ef51a91923976d10e57f08f42c0edb7
Nov 21, 2022
Mahuzier, C.; Morand, S.; Chaisiri, K.; De Rouw, A.; Soulileuth, B.; Thinphovong, C.; Tran, A.; Valentin, C., 2022, "Random Forest land cover classifications of Sentinel satellite images in 2019, Saen Thong, Thailand", https://doi.org/10.23708/GENR6J, DataSuds, V2
This dataset holds the results of different Random Forest classifications using the combination of Sentinel-2 Optical and Sentinel-1 Radar images. The different images were acquired in 2019. The dataset covers Saen Thong sub-district, Nan province in northern Thailand, a mountain...
OpenOffice Spreadsheet - 185.1 KB - MD5: a36f62dc8bcd60f93590c5a9c188695c
Random Forest Classification confusion matrix
PNG Image - 1.3 MB - MD5: 8ffc978f37220b57e50c4d35ae3ebbd5
Saen Thong 2019 Land Cover map
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