| Full text | |
| Author(s): |
Nogueira, Keiller
[1]
;
dos Santos, Jefersson A.
[1]
;
Menini, Nathalia
[2]
;
Silva, Thiago S. F.
[3, 4]
;
Morellato, Leonor Patricia C.
[5]
;
Torres, Ricardo da S.
[2]
Total Authors: 6
|
| Affiliation: | [1] Univ Fed Minas Gerais, Dept Comp Sci, BR-31270901 Belo Horizonte, MG - Brazil
[2] Univ Estadual Campinas, Inst Comp, BR-13083970 Campinas, SP - Brazil
[3] Univ Estadual Paulista, IGCE, BR-13506900 Sao Paulo - Brazil
[4] Univ Stirling, Biol & Environm Sci, Fac Nat Sci, Stirling FK9 4LA - Scotland
[5] Univ Estadual Paulista, Inst Biociencias, BR-13506900 Sao Paulo - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | IEEE Geoscience and Remote Sensing Letters; v. 16, n. 10, p. 1665-1669, OCT 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
Plant phenology studies rely on long-term monitoring of life cycles of plants. High-resolution unmanned aerial vehicles (UAVs) and near-surface technologies have been used for plant monitoring, demanding the creation of methods capable of locating, and identifying plant species through time and space. However, this is a challenging task given the high volume of data, the constant data missing from temporal dataset, the heterogeneity of temporal profiles, the variety of plant visual patterns, and the unclear definition of individuals' boundaries in plant communities. In this letter, we propose a novel method, suitable for phenological monitoring, based on convolutional networks (ConvNets) to perform spatio-temporal vegetation pixel classification on high-resolution images. We conducted a systematic evaluation using high-resolution vegetation image datasets associated with the Brazilian Cerrado biome. Experimental results show that the proposed approach is effective, overcoming other spatio-temporal pixel-classification strategies. (AU) | |
| FAPESP's process: | 16/26170-8 - Structural breaks detection in time series and its use in the definition of stability measures |
| Grantee: | Nathália Menini Cardoso dos Santos |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems |
| Grantee: | Leonor Patricia Cerdeira Morellato |
| Support Opportunities: | Research Program on Global Climate Change - University-Industry Cooperative Research (PITE) |
| FAPESP's process: | 09/54208-6 - Multi-User Centralized Laboratory at the São Paulo State University Center for Biodiversity Studies |
| Grantee: | Célio Fernando Baptista Haddad |
| Support Opportunities: | Multi-user Equipment Program |
| FAPESP's process: | 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes |
| Grantee: | Ricardo da Silva Torres |
| Support Opportunities: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 18/06918-3 - Quantifying Amazon's resilience through structural breaks associated with extreme climatic events |
| Grantee: | Nathália Menini Cardoso dos Santos |
| Support Opportunities: | Scholarships abroad - Research Internship - Master's degree |