A5004335574- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Geography and Environmental Studies
- Fire effects on ecosystems
- Conservation, Biodiversity, and Resource Management
- Remote-Sensing Image Classification
- Forest ecology and management
- Geochemistry and Geologic Mapping
- Environmental and biological studies
- Soil and Land Suitability Analysis
- Atmospheric and Environmental Gas Dynamics
- Plant Water Relations and Carbon Dynamics
- Species Distribution and Climate Change
- Leaf Properties and Growth Measurement
- Remote Sensing and Land Use
- Agricultural and Food Sciences
- Soil Geostatistics and Mapping
- Advanced Image Fusion Techniques
- Spectroscopy and Chemometric Analyses
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Automated Road and Building Extraction
- Fish biology, ecology, and behavior
- Rural Development and Agriculture
- African Botany and Ecology Studies
National Institute for Space Research
2015-2024
Águas de Portugal (Portugal)
2016
Joint Research Centre
2014-2015
National University of Singapore
2015
Universidade de Brasília
2012
Departamento Nacional de Produção Mineral
2011
Radiall (France)
2009
Fundação Araucária
2009
Universidade Federal do Rio Grande do Sul
2007
Jensen Hughes (United States)
1995
Intensive mechanized agriculture in the Brazilian Amazon grew by >3.6 million hectares (ha) during 2001-2004. Whether this cropland expansion resulted from intensified use of land previously cleared for cattle ranching or new deforestation has not been quantified and major implications future dynamics, carbon fluxes, forest fragmentation, other ecosystem services. We combine maps, field surveys, satellite-based information on vegetation phenology to characterize fate large (>25-ha) clearings...
Metabolism and phenology of Amazon rainforests significantly influence global dynamics climate, carbon water, but remain poorly understood. We analyzed vegetation at multiple scales with Moderate Resolution Imaging Spectroradiometer (MODIS) satellite measurements from 2000 to 2005. MODIS Enhanced Vegetation Index (EVI, an index canopy photosynthetic capacity) increased by 25% sunlight during the dry season across forests, opposite ecosystem model predictions that water limitation should...
From 2006 to 2010, deforestation in the Amazon frontier state of Mato Grosso decreased 30% its historical average (1996-2005) whereas agricultural production reached an all-time high. This study combines satellite data with government and statistics assess land-use transitions potential market policy drivers associated these trends. In forested region state, increased soy from 2001 2005 was entirely due cropland expansion into previously cleared pasture areas (74%) or forests (26%). 78%...
There has been an increasing awareness of the possibility climate change causing increased drought frequency in Amazonia, with ensuing impacts on ecosystems and human populations. This debate brought into focus by 1997/1998 2005 Amazonian droughts. We analysed spatial extent these droughts fire response to TRMM NOAA‐12 data, respectively. Both had distinct fingerprints. The was characterized its intensification throughout dry season south‐western Amazonia. During annual cumulative number hot...
The main objective of our study was to provide consistent information on land cover changes between the years 1990 and 2010 for Cerrado Caatinga Brazilian seasonal biomes. These areas have been overlooked in terms change assessment if compared with efforts monitoring Amazon rain forest. For each target (1990, 2000 2010) obtained through an object-based classification approach 243 sample units (10 km × 10 size), using (E)TM Landsat images systematically located at full degree confluence...
Understanding the interplay between climate and land-use dynamics is a fundamental concern for assessing vulnerability of Amazonia to change. In this study, we analyse satellite-derived monthly annual time series rainfall, fires deforestation explicitly quantify seasonal patterns relationships these three variables, with particular focus on Amazonian drought 2005. Our results demonstrate marked seasonality one peak per year all variables analysed, except deforestation. For cycle, found...
Reducing emissions from deforestation and degradation (REDD) may curb carbon emissions, but the consequences for fire hazard are poorly understood. By analyzing satellite-derived data Brazilian Amazon, we show that occurrence has increased in 59% of area experienced reduced rates. Differences frequencies across two land-use gradients reveal fire-free land-management can substantially reduce incidence by as much 69%. If sustainable deforested areas is not adopted REDD mechanism, then savings...
Abstract Tropical forest structural variation across heterogeneous landscapes may control above‐ground carbon dynamics. We tested the hypothesis that canopy structure (leaf area and light availability) – remotely estimated from LiDAR in coarse wood production (biomass growth). Using a statistical model, these factors predicted biomass growth tree size classes near Manaus, Brazil. The same with no parameterisation change but driven by different observed structure, higher productivity of site...
Abstract Forest inventory studies in the Amazon indicate a large terrestrial carbon sink. However, field plots may fail to represent forest mortality processes at landscape-scales of tropical forests. Here we characterize frequency distribution disturbance events natural forests from 0.01 ha 2,651 size throughout Amazonia using novel combination inventory, airborne lidar and satellite remote sensing data. We find that small-scale are responsible for aboveground biomass losses ~1.28 Pg C y −1...
Using geometric shadow and linear mixture models we develop evaluate an algorithm to infer several important structural parameters of stands black spruce (Picea mariana), the most common boreal forest dominant. We show, first, that stand reflectances for this species can be represented as combinations more elemental radiometric components: sunlit crowns, background, shadow. Secondly, using a model, calculate how fractions these elements covary with each other. Then, hand‐held measurements...
Broadleaf forest is a major type of Earth's land cover with the highest observable vegetation density. Retrievals biophysical parameters, such as leaf area index (LAI), broadleaf forests at global scale constitute challenge to modern remote sensing techniques in view low sensitivity (saturation) surface reflectances parameters over dense vegetation. The goal performed research demonstrate physical principles LAI retrievals Moderate Resolution Imaging Spectroradiometer (MODIS) algorithm and...
Amazonia lost 947 million tons of carbon induced by forest edge effect between 2001 and 2015, about 30% deforestation losses.
Mapping tropical tree species at landscape scales to provide information for ecologists and forest managers is a new challenge the remote sensing community. For this purpose, detection delineation of individual crowns (ITCs) prerequisite. Here, we present method automatic crown based only on very high resolution images from WorldView-2 satellite apply it region Atlantic rain with highly heterogeneous canopy cover – Santa Genebra reserve in Brazil. The works successive steps that involve...
Abstract The joint and relative effects of future land‐use climate change on fire occurrence in the Amazon, as well its seasonal variation, are still poorly understood, despite recognized importance. Using maximum entropy method (MaxEnt), we combined regional projections climatic data from CMIP5 multimodel ensemble to investigate monthly probability mid (2041–2070) late (2071–2100) 21st century Brazilian Amazon. We found striking spatial variation (FRP) along months, with October showing...
The restoration and reforestation of 12 million hectares forests by 2030 are amongst the leading mitigation strategies for reducing carbon emissions within Brazilian Nationally Determined Contribution targets assumed under Paris Agreement. Understanding dynamics forest cover, which steeply decreased between 1985 2018 throughout Brazil, is essential estimating global balance quantifying provision ecosystem services. To know long-term increment, extent, age secondary crucial; however, these...
Image segmentation based on the shade fraction of a Landsat TM image was effective in measuring areal extent Amazonian deforestation. The derived from spectral mixture models related to forest canopy structure. Dense tropical forests have medium proportion within their while deforested areas (bare soil, pasture, and/or regrowth) comparatively smallproportion. Comparison results with conventional techniques showed visual agreement. Even though additional tests are necessary validate this...
Abstract The Brazilian government annually assesses the extent of deforestation in Legal Amazon for a variety scientific and policy applications. Currently, assessment requires processing storing large volumes Landsat satellite data. potential efficient, accurate, less data-intensive annual using data from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) at 250-m resolution is evaluated. Landsat-derived estimates are compared to MODIS-derived six scenes with five change-detection...
The Brazilian state of Mato Grosso was a global deforestation hotspot in the early 2000s. Deforested land is used predominantly to produce meat for distal consumption either through cattle ranching or soya bean livestock feed. Deforestation declined dramatically latter part decade combination market forces, policies, enforcement and improved monitoring. This study assesses how representative national-level drivers underlying Grosso's export-oriented are other tropical forest countries based...
Abstract In less than 15 years, the Amazon region experienced three major droughts. Links between droughts and fires have been demonstrated for 1997/1998, 2005, 2010 2010, emissions of 510 ± 120 Tg C were associated to fire alone in Amazonia. Existing approaches have, however, not yet disentangled proportional contribution multiple land cover sources this total. We develop a novel integration multisensor multitemporal satellite‐derived data on cover, active fires, burned area an empirical...