Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]
- 23 September 2019
- journal article
- editorial
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Geoscience and Remote Sensing Magazine
- Vol. 7 (3) , 110-122
Abstract
Remote sensing images have been broadly employed over the past decades to detect and investigate temporal changes on Earth's surface. Appropriate tools are needed to support complex analyses of temporal data in various domains, ranging from purely scientific to educational. There are many existing tools, but it is often necessary to switch among them several times. Typical interoperability issues include system mismatch and the variety of user profiles and data types.Keywords
Funding Information
- Fundação de Amparo à Pesquisa do Estado de São Paulo (2013/50155-0, 2013/50169-1, 2014/12236-1, 2014/50715-9, 2015/02105-0, 2016/08085-3, 2016/26170-8, 2017/12646-3, 2018/06918-3)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (132847/2015-9, 307560/2016-3)
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (88881.145912/2017-01)
This publication has 35 references indexed in Scilit:
- MODIS NDVI time-series allow the monitoring of Eucalyptus plantation biomassRemote Sensing of Environment, 2011
- A Landsat Surface Reflectance Dataset for North America, 1990–2000IEEE Geoscience and Remote Sensing Letters, 2006
- Amazonian Tree Mortality during the 1997 El Niño DroughtConservation Biology, 2000
- Combining satellite data and biogeochemical models to estimate global effects of human‐induced land cover change on carbon emissions and primary productivityGlobal Biogeochemical Cycles, 1999
- Impact of wildfires on the megafauna of Emas National Park, central BrazilOryx, 1999
- Carbon Pools and Flux of Global Forest EcosystemsScience, 1994
- Outliers, level shifts, and variance changes in time seriesJournal of Forecasting, 1988
- Amazon Basin: A System in EquilibriumScience, 1984
- Robust Locally Weighted Regression and Smoothing ScatterplotsJournal of the American Statistical Association, 1979
- Individual Comparisons by Ranking MethodsBiometrics Bulletin, 1945