Carbon estimation in an integrated crop-livestock system with imaging sensors aboard unmanned aerial platforms-Reference-Cited by-同舟云学术

Carbon estimation in an integrated crop-livestock system with imaging sensors aboard unmanned aerial platforms

Published:2022-11 Issue: Volume:28 Page:100867
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

de Lima Gabriella Santos Arruda^ORCID,Ferreira Manuel Eduardo^ORCID,Madari Beata Emoke^ORCID,Carvalho Márcia Thaís de Melo^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference47 articles.

1. Whanda, Philemon Headboy, Ibrahim Muhammed, Isa Abubakar Maiha. Evaluating the accuracy of spectral indices from Sentinel-2 data for estimating forest biomass in urban areas of the tropical savanna;Adamu;Remote Sens. Appl.: Society and Environment,2021

2. Köppen's climate classification map for Brazil;Alvares;Meteorol. Z. Schweizerbart [S.I.,2013

3. Informação Tecnológica, 130p. Reference document. Crop-Livestock-Forestry integration;Embrapa, Brasília, DF,2011

4. A remote sensing surface energy balance algorithm for land (SEBAL) 1. Validation;Bastiaanssen;J. Hydrol.,1998

5. A method for manual endmember selection and spectral unmixing;Bateson;Remote Sens. Environ.,1996

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of the influence of surface and subsurface acidity correction methodologies on soil compaction in agropastoral systems under no‐till;Soil Science Society of America Journal;2024-02-19