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National-scale cropland mapping based on spectral-temporal features and outdated land cover information 期刊论文
发表期刊: PLOS ONE. 出版年: 2017, 卷号: 12, 期号: 8
作者:  Waldner, Francois;  Hansen, Matthew C.;  Potapov, Peter V.;  Loew, Fabian;  Newby, Terence;  Ferreira, Stefanus;  Defourny, Pierre
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/29
An information-based criterion to measure pixel-level thematic uncertainty in land cover classifications 期刊论文
发表期刊: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 出版年: 2017, 卷号: 31, 期号: 9, 页码: 2297-2312
作者:  Bogaert, Patrick;  Waldner, Francois;  Defourny, Pierre
收藏  |  浏览/下载:14/0  |  提交时间:2019/11/29
Information theory  Classification  Thematic uncertainty  Confidence  Remote sensing  
Mapping the groundwater vulnerability for pollution at the pan African scale 期刊论文
发表期刊: SCIENCE OF THE TOTAL ENVIRONMENT. 出版年: 2016, 卷号: 544, 页码: 939-953
作者:  Ouedraogo, Issoufou;  Defourny, Pierre;  Vanclooster, Marnik
收藏  |  浏览/下载:10/0  |  提交时间:2019/11/29
Groundwater vulnerability  Nitrate contamination  Meta-analysis  Pollution risk  
Cropland Mapping over Sahelian and Sudanian Agrosystems: A Knowledge-Based Approach Using PROBA-V Time Series at 100-m 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2016, 卷号: 8, 期号: 3
作者:  Lambert, Marie-Julie;  Waldner, Francois;  Defourny, Pierre
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/29
PROBA-V  knowledge-based  time series  cropland  Sahelian and Sudanian agrosystems  
Operational Monitoring of the Desert Locust Habitat with Earth Observation: An Assessment 期刊论文
发表期刊: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 出版年: 2015, 卷号: 4, 期号: 4, 页码: 2379-2400
作者:  Waldner, Francois;  Ebbe, Mohamed Abdallahi Babah;  Cressman, Keith;  Defourny, Pierre
收藏  |  浏览/下载:14/0  |  提交时间:2019/11/29
desert locust  habitat mapping  accuracy assessment  resolution bias  
Assessing Fnvisat ASAR and Sentinel-1 multi-temporal observations to map open water bodies 会议论文
会议名称: IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). 会议地点: Marina Bay Sands, SINGAPORE. 会议日期: SEP 01-04, 2015
作者:  Santoro, Maurizio;  Wegmueller, Urs;  Wiesmann, Andreas;  Lamarche, Celine;  Bontemps, Sophie;  Defourny, Pierre;  Arino, Olivier
收藏  |  浏览/下载:14/0  |  提交时间:2019/12/09
Envisat ASAR  Sentinel-1  SAR  backscatter  multi-temporal metric  water bodies  
Assessing Fnvisat ASAR and Sentinel-1 multi-temporal observations to map open water bodies 会议论文
会议名称: IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). 会议地点: Marina Bay Sands, SINGAPORE. 会议日期: SEP 01-04, 2015
作者:  Santoro, Maurizio;  Wegmueller, Urs;  Wiesmann, Andreas;  Lamarche, Celine;  Bontemps, Sophie;  Defourny, Pierre;  Arino, Olivier
收藏  |  浏览/下载:12/0  |  提交时间:2019/12/09
Envisat ASAR  Sentinel-1  SAR  backscatter  multi-temporal metric  water bodies  
A Dynamic Vegetation Senescence Indicator for Near-Real-Time Desert Locust Habitat Monitoring with MODIS 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2015, 卷号: 7, 期号: 6, 页码: 7545-7570
作者:  Renier, Cecile;  Waldner, Francois;  Jacques, Damien Christophe;  Ebbe, Mohamed Abdallahi Babah;  Cressman, Keith;  Defourny, Pierre
收藏  |  浏览/下载:14/0  |  提交时间:2019/11/29
desert locust  dynamic mapping  senescence  near-real-time monitoring  habitat  
Monitoring dry vegetation masses in semi-arid areas with MODIS SWIR bands 期刊论文
发表期刊: REMOTE SENSING OF ENVIRONMENT. 出版年: 2014, 卷号: 153, 页码: 40-49
作者:  Jacques, Damien Christophe;  Kergoat, Laurent;  Hiernaux, Pierre;  Mougin, Eric;  Defourny, Pierre
Adobe PDF(2523Kb)  |  收藏  |  浏览/下载:15/5  |  提交时间:2019/11/29
Dry vegetation  Mass  MODIS  Semi-arid areas  Sahel  Monitoring  Rangeland  
Development and Application of Multi-Temporal Colorimetric Transformation to Monitor Vegetation in the Desert Locust Habitat 期刊论文
发表期刊: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 出版年: 2011, 卷号: 4, 期号: 2, 页码: 318-326
作者:  Pekel, Jean-Francois;  Ceccato, Pietro;  Vancutsem, Christelle;  Cressman, Keith;  Vanbogaert, Eric;  Defourny, Pierre
收藏  |  浏览/下载:18/0  |  提交时间:2019/11/29
Color space  Desert Locust  dynamic map  early warning  HSV  MODIS  real time monitoring  SPOT VEGETATION  vegetation monitoring