| Full text | |
| Author(s): |
Pereira, Allan A.
[1]
;
Pereira, Jose M. C.
[2]
;
Libonati, Renata
[3]
;
Oom, Duarte
[2]
;
Setzer, Alberto W.
[4]
;
Morelli, Fabiano
[4]
;
Machado-Silva, Fausto
[3]
;
Tavares de Carvalho, Luis Marcelo
[5]
Total Authors: 8
|
| Affiliation: | [1] Inst Fed Ciencia & Tecnol Sul Minas Gerais, BR-37713100 Pocos De Caldas - Brazil
[2] Univ Lisbon, Ctr Estudos Florestais, Inst Super Agron, P-1349017 Lisbon - Portugal
[3] Univ Fed Rio de Janeiro, Dept Meteorol, BR-21941916 Rio De Janeiro - Brazil
[4] Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudos Climat, BR-12227010 Sao Jose Dos Campos - Brazil
[5] Univ Fed Lavras, Dept Engn Florestal, BR-37200000 Lavras - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | REMOTE SENSING; v. 9, n. 11 NOV 2017. |
| Web of Science Citations: | 10 |
| Abstract | |
We used the Visible Infrared Imaging Radiometer Suite (VIIRS) active fire data (375 m spatial resolution) to automatically extract multispectral samples and train a One-Class Support Vector Machine for burned area mapping, and applied the resulting classification algorithm to 300-m spatial resolution imagery from the Project for On-Board Autonomy-Vegetation (PROBA-V). The active fire data were screened to prevent extraction of unrepresentative burned area samples and combined with surface reflectance bi-weekly composites to produce burned area maps. The procedure was applied over the Brazilian Cerrado savanna, validated with reference maps obtained from Landsat images and compared with the Collection 6 Moderate Resolution Imaging Spectrometer (MODIS) Burned Area product (MCD64A1) Results show that the algorithm developed improved the detection of small-sized scars and displayed results more similar to the reference data than MCD64A1. Unlike active fire-based region growing algorithms, the proposed approach allows for the detection and mapping of burn scars without active fires, thus eliminating a potential source of omission error. The burned area mapping approach presented here should facilitate the development of operational-automated burned area algorithms, and is very straightforward for implementation with other sensors. (AU) | |
| FAPESP's process: | 15/01389-4 - Brazilian System Fire-Land-Atmosphere (BrFLAS) |
| Grantee: | Alberto Waingort Setzer |
| Support Opportunities: | Regular Research Grants |