1 resultado para Precisão Sub-Pixel
em Publishing Network for Geoscientific
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (2)
- Aquatic Commons (20)
- ARCA - Repositório Institucional da FIOCRUZ (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (4)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Câmara dos Deputados (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (5)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (12)
- Boston University Digital Common (1)
- Brock University, Canada (3)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (79)
- CentAUR: Central Archive University of Reading - UK (64)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (62)
- Cochin University of Science & Technology (CUSAT), India (9)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Dalarna University College Electronic Archive (5)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (16)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (33)
- Greenwich Academic Literature Archive - UK (6)
- Helda - Digital Repository of University of Helsinki (3)
- Indian Institute of Science - Bangalore - Índia (46)
- Infoteca EMBRAPA (22)
- Instituto Politécnico do Porto, Portugal (4)
- Livre Saber - Repositório Digital de Materiais Didáticos - SEaD-UFSCar (3)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (30)
- Massachusetts Institute of Technology (3)
- Ministerio de Cultura, Spain (7)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (25)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (213)
- Queensland University of Technology - ePrints Archive (83)
- RDBU - Repositório Digital da Biblioteca da Unisinos (4)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (6)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (14)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad Nacional Agraria (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (41)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad Autónoma de Nuevo León, Mexico (9)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (15)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (13)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (10)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (7)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (4)
Resumo:
The dataset contains a cropland percent coverage map for Africa created through the combination of five existing land cover products: GLC-2000, MODIS Land Cover, GlobCover, MODIS Crop Likelihood and AfriCover. A synergy map was created in which the products are ranked by experts, which reflects the likelihood or probability that a given pixel is cropland. The cropland map was calibrated with national and sub-national crop statistics using a novel approach. Preliminary validation of the map was undertaken. The resulting cropland map has an accuracy of 83%, which is higher than the accuracy of any of the individual maps. The cropland percent coverage map for Africa is available for overlay on Google Earth or for download at http://agriculture.geo-wiki.org.