Please login first
Marcos Adami  - - - 
Top co-authors See all
Edson Eyji Sano

59 shared publications

Empresa Brasileira de Pesquisa Agropecuária, Brasil

Yosio Edemir Shimabukuro

41 shared publications

National Institute for Space Research (INPE)—Remote Sensing Division, Av. dos Astronautas 1758, Jd Granja, São José dos Campos, São Paulo 12227-010, Brazil

Bernardo Friedrich Theodor Rudorff

28 shared publications

Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brasil

Daniel Alves Aguiar

11 shared publications

INPE, São José dos Campos

Maurício Alves Moreira

11 shared publications

Instituto Nacional De Pesquisas Espaciais, São José dos Campos

54
Publications
0
Reads
0
Downloads
299
Citations
Publication Record
Distribution of Articles published per year 
(2004 - 2019)
Total number of journals
published in
 
27
 
Publications See all
Article 0 Reads 0 Citations Brazilian Mangrove Status: Three Decades of Satellite Data Analysis Cesar Diniz, Luiz Cortinhas, Gilberto Nerino, Jhonatan Rodri... Published: 04 April 2019
Remote Sensing, doi: 10.3390/rs11070808
DOI See at publisher website ABS Show/hide abstract
Since the 1980s, mangrove cover mapping has become a common scientific task. However, the systematic and continuous identification of vegetation cover, whether on a global or regional scale, demands large storage and processing capacities. This manuscript presents a Google Earth Engine (GEE)-managed pipeline to compute the annual status of Brazilian mangroves from 1985 to 2018, along with a new spectral index, the Modular Mangrove Recognition Index (MMRI), which has been specifically designed to better discriminate mangrove forests from the surrounding vegetation. If compared separately, the periods from 1985 to 1998 and 1999 to 2018 show distinct mangrove area trends. The first period, from 1985 to 1998, shows an upward trend, which seems to be related more to the uneven distribution of Landsat data than to a regeneration of Brazilian mangroves. In the second period, from 1999 to 2018, a trend of mangrove area loss was registered, reaching up to 2% of the mangrove forest. On a regional scale, ~85% of Brazil’s mangrove cover is in the states of Maranhão, Pará, Amapá and Bahia. In terms of persistence, ~75% of the Brazilian mangroves remained unchanged for two decades or more.
Article 0 Reads 1 Citation Mapping tropical disturbed forests using multi-decadal 30 m optical satellite imagery Yunxia Wang, Guy Ziv, Marcos Adami, Edward Mitchard, Sarah A... Published: 01 February 2019
Remote Sensing of Environment, doi: 10.1016/j.rse.2018.11.028
DOI See at publisher website ABS Show/hide abstract
Tropical disturbed forests play an important role in global carbon sequestration due to their rapid post-disturbance biomass accumulation rates. However, the accurate estimation of the carbon sequestration capacity of disturbed forests is still challenging due to large uncertainties in their spatial distribution. Using Google Earth Engine (GEE), we developed a novel approach to map cumulative disturbed forest areas based on the 27-year time-series of Landsat surface reflectance imagery. This approach integrates single date features with temporal characteristics from six time-series trajectories (two Landsat shortwave infrared bands and four vegetation indices) using a random forest machine learning classification algorithm. We demonstrated the feasibility of this method to map disturbed forests in three different forest ecoregions (seasonal, moist and dry forest) in Mato Grosso, Brazil, and found that the overall mapping accuracy was high, ranging from 81.3% for moist forest to 86.1% for seasonal forest. According to our classification, dry forest ecoregion experienced the most severe disturbances with 41% of forests being disturbed by 2010, followed by seasonal forest and moist forest ecoregions. We further separated disturbed forests into degraded old-growth forests and post-deforestation regrowth forests based on an existing post-deforestation land use map (TerraClass) and found that the area of degraded old-growth forests was up to 62% larger than the extent of post-deforestation regrowth forests, with 18% of old-growth forests actually being degraded. Application of this new classification approach to other tropical areas will provide a better constraint on the spatial extent of disturbed forest areas in Tropics and ultimately towards a better understanding of their importance in the global carbon cycle.
PROCEEDINGS-ARTICLE 1 Read 0 Citations An Approach on Monitoring Evolution of Projects by Professional Performance Assessment: A Case Study at the Amazon Regio... Marck Da Silva, Marcia Nazare Rodrigues Barros, Lucyana Barr... Published: 01 August 2018
2018 Portland International Conference on Management of Engineering and Technology (PICMET), doi: 10.23919/picmet.2018.8481882
DOI See at publisher website
Article 5 Reads 0 Citations Seasonality of vegetation types of South America depicted by moderate resolution imaging spectroradiometer (MODIS) time ... Marcos Adami, Sergio Bernardes, Egidio Arai, Ramon M. Freita... Published: 01 July 2018
International Journal of Applied Earth Observation and Geoinformation, doi: 10.1016/j.jag.2018.02.010
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Land Use and Land Cover Dynamics in Relation to Fire Recurrence in the Brazilian Amazon, 2008–2014 Joao Felipe Sobrinho Kneipp Ceraueira Pinto, Alberto Setzer,... Published: 01 July 2018
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/igarss.2018.8517615
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Spatial Assessment of Mining Data in the Southwest Region of the State of Para, Brazil Jefferson Jesus De Souza, Jeremias Vitorio Pinto Feitosa, Ar... Published: 01 July 2018
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/igarss.2018.8518495
DOI See at publisher website
Top