| Full text | |
| Author(s): |
Maciel, Adeline Marinho
[1]
;
Camara, Gilberto
[1]
;
Vinhas, Lubia
[1]
;
Araujo Picoli, Michelle Cristina
[1]
;
Begotti, Rodrigo Anzolin
[1]
;
Ferreira Gomes de Assis, Luiz Fernando
[1]
Total Authors: 6
|
| Affiliation: | [1] Natl Inst Space Res, Image Proc Div, Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 1
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE; v. 33, n. 1, p. 176-192, 2019. |
| Web of Science Citations: | 3 |
| Abstract | |
Earth observation images are a powerful source of data about changes in our planet. Given the magnitude of global environmental changes taking place, it is important that Earth Science researchers have access to spatiotemporal reasoning tools. One area of particular interest is land-use change. Using data obtained from images, researchers would like to express abstractions such as land abandonment', forest regrowth', and agricultural intensification'. These abstractions are specific types of land-use trajectories, defined as multi-year paths from one land cover into another. Given this need, this paper introduces a spatiotemporal calculus for reasoning about land-use trajectories. Using Allen's interval logic as a basis, we introduce new predicates that express cases of recurrence, conversion and evolution in land-use change. The proposed predicates are sufficient and necessary to express different kinds of land-use trajectories. Users can build expressions that describe how humans modify Earth's terrestrial surface. In this way, scientists can better understand the environmental and economic effects of land-use change. (AU) | |
| FAPESP's process: | 16/23750-3 - Use of remote sensing images time series for monitoring Brazilian Agriculture |
| Grantee: | Michelle Cristina Araujo Picoli |
| Support type: | Scholarships in Brazil - Post-Doctorate |
| FAPESP's process: | 14/08398-6 - E-Sensing: big earth observation data analytics for land use and land cover change information |
| Grantee: | Gilberto Camara Neto |
| Support type: | Research Grants - eScience and Data Science Program - Thematic Grants |
| FAPESP's process: | 16/16968-2 - Using time series satellite imagery to monitor deforestation and degradation in the Amazon rainforest |
| Grantee: | Rodrigo Anzolin Begotti |
| Support type: | Scholarships in Brazil - Post-Doctorate |