1 resultado para gray level probabilty density functions
Filtro por publicador
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (7)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (1)
- Aston University Research Archive (33)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (224)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (43)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CentAUR: Central Archive University of Reading - UK (47)
- Cochin University of Science & Technology (CUSAT), India (13)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (43)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (2)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (3)
- Digital Commons at Florida International University (11)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (7)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Diposit Digital de la UB - Universidade de Barcelona (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (12)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (1)
- Harvard University (1)
- Instituto Politécnico do Porto, Portugal (2)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (2)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- Ministerio de Cultura, Spain (3)
- National Center for Biotechnology Information - NCBI (21)
- Publishing Network for Geoscientific & Environmental Data (53)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (2)
- REPOSITÓRIO ABERTO do Instituto Superior Miguel Torga - Portugal (2)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (6)
- Repositório da Produção Científica e Intelectual da Unicamp (22)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositorio Institucional de la Universidad de Málaga (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (112)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (6)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (26)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (2)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (6)
- Universidad Politécnica de Madrid (22)
- Universidade Complutense de Madrid (4)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade do Minho (1)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (5)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universitat de Girona, Spain (20)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (50)
- Université de Montréal, Canada (10)
- University of Connecticut - USA (2)
- University of Michigan (2)
- University of Queensland eSpace - Australia (26)
- University of Washington (1)
Resumo:
Agroforestry has large potential for carbon (C) sequestration while providing many economical, social, and ecological benefits via its diversified products. Airborne lidar is considered as the most accurate technology for mapping aboveground biomass (AGB) over landscape levels. However, little research in the past has been done to study AGB of agroforestry systems using airborne lidar data. Focusing on an agroforestry system in the Brazilian Amazon, this study first predicted plot-level AGB using fixed-effects regression models that assumed the regression coefficients to be constants. The model prediction errors were then analyzed from the perspectives of tree DBH (diameter at breast height)?height relationships and plot-level wood density, which suggested the need for stratifying agroforestry fields to improve plot-level AGB modeling. We separated teak plantations from other agroforestry types and predicted AGB using mixed-effects models that can incorporate the variation of AGB-height relationship across agroforestry types. We found that, at the plot scale, mixed-effects models led to better model prediction performance (based on leave-one-out cross-validation) than the fixed-effects models, with the coefficient of determination (R2) increasing from 0.38 to 0.64. At the landscape level, the difference between AGB densities from the two types of models was ~10% on average and up to ~30% at the pixel level. This study suggested the importance of stratification based on tree AGB allometry and the utility of mixed-effects models in modeling and mapping AGB of agroforestry systems.