A5066673552- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Remote Sensing in Agriculture
- Conservation, Biodiversity, and Resource Management
- Plant Water Relations and Carbon Dynamics
- Forest Management and Policy
- Forest Ecology and Biodiversity Studies
- Fire effects on ecosystems
- Oil Palm Production and Sustainability
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Economic and Environmental Valuation
- Amazonian Archaeology and Ethnohistory
- Advanced Neural Network Applications
- Aeolian processes and effects
- Forest Biomass Utilization and Management
- Agricultural and Food Sciences
- Ecology and Vegetation Dynamics Studies
- Soil erosion and sediment transport
- Environmental and biological studies
Brazilian Agricultural Research Corporation
2015-2020
Agricultural Research Corporation
2020
International Institute of Tropical Forestry
2018
Abstract Deforestation rates have declined in the Brazilian Amazon since 2005, yet degradation from logging, fire, and fragmentation has continued frontier forests. In this study we quantified aboveground carbon density (ACD) intact degraded forests using largest data set of integrated forest inventory plots ( n = 359) airborne lidar (18,000 ha) assembled to date for Amazon. We developed statistical models relating ACD estimates metrics that explained 70% variance across types. Airborne...
Despite sustained declines in Amazon deforestation, forest degradation from logging and fire continues to threaten carbon stocks, habitat, biodiversity frontier forests along the arc of deforestation. Limited data on magnitude losses rates recovery following have hindered accounting efforts contributed incomplete national reporting reduce emissions deforestation (REDD+). We combined annual time series Landsat imagery high-density airborne lidar characterize variability, magnitude,...
Summary Amazon droughts, including the 2015–2016 El Niño, may reduce forest net primary productivity and increase canopy tree mortality, thereby altering both short‐ long‐term carbon balance. Given broad extent of drought impacts, inventory plots or eddy flux towers not capture regional variability in response to drought. We used multi‐temporal airborne Lidar data field measurements coarse woody debris estimate patterns turnover associated losses intact fragmented forests central Brazilian...
Abstract Selective logging, fragmentation, and understory fires directly degrade forest structure composition. However, studies addressing the effects of degradation on carbon, water, energy cycles are scarce. Here, we integrate field observations high‐resolution remote sensing from airborne lidar to provide realistic initial conditions Ecosystem Demography Model (ED‐2.2) investigate how disturbances affect gross primary production (GPP), evapotranspiration (ET), sensible heat flux (H). We...
Previous research has explored the potential to integrate lidar and optical data in aboveground biomass (AGB) estimation, but how different sources, vegetation types, modeling algorithms influence AGB estimation is poorly understood. This conducts a comparative analysis of sources approaches improving estimation. RapidEye-based spectral responses textures, lidar-derived metrics, their combination were used develop models. The results indicated that (1) overall, RapidEye are not suitable for...
Agroforestry has large potential for carbon (C) sequestration while providing many economical, social, and ecological benefits via its diversified products. Airborne lidar is considered as the most accurate technology mapping aboveground biomass (AGB) over landscape levels. However, little research in past been done to study AGB of agroforestry systems using airborne data. Focusing on an system Brazilian Amazon, this first predicted plot-level fixed-effects regression models that assumed...
Forest degradation is common in tropical landscapes, but estimates of the extent and duration impacts are highly uncertain. In particular, selective logging a form forest that alters canopy structure function, with persistent ecological following harvest. this study, we employed airborne laser scanning 2012 2014 to estimate three-dimensional changes understory aboveground biomass reduced-impact site Eastern Amazon. Also, developed binary classification model distinguish intact versus logged...
Fire is one of the main factors directly impacting Amazonian forest biomass and dynamics. Because Amazonia’s large geographical extent, remote sensing techniques are required for comprehensively assessing fire impacts at landscape level. In this context, Light Detection Ranging (LiDAR) stands out as a technology capable retrieving direct measurements vegetation vertical arrangement, which can be associated with aboveground biomass. This work aims, first time, to quantify post-fire changes in...
Abstract Secondary forests account for more than half of tropical and represent a growing carbon sink, but rates biomass accumulation vary by factor two or even among plots in the same landscape. To better understand drivers this variability, we used airborne lidar to measure forest canopy height estimate over 4529 ha at Serra do Conduru Park Southern Bahia, Brazil. We measured trees 30 georeferenced field (0.25‐ha each) using allometry. Then estimated aboveground density ( ABD ) across...
Abstract. Coarse dead wood is an important component of forest carbon stocks, but it rarely measured in Amazon forests and typically excluded from regional budgets. Our study based on line intercept sampling for fallen coarse conducted along 103 transects with a total length 48 km matched inventory plots where standing was the footprints larger areas airborne lidar acquisitions. We developed models to relate metrics Landsat time series variables stocks intact, logged, burned, or logged...
This data set provides measurements for diameter at breast height (DBH), commercial tree height, and total forest inventories taken the Fazenda Cauaxi Nova Neonita, Paragominas municipality, Para, Brazil. Also included each are common, family, scientific name, coordinates, canopy position, crown radius, dead trees decomposition status. These biophysical were made during 2012 2014 Neonita 2013.
Selective logging, fragmentation, and understory fires directly degrade forest structure composition. However, studies addressing the effects of degradation on carbon, water, energy cycles are scarce. Here, we integrate field observations high-resolution remote sensing from airborne lidar to provide realistic initial conditions Ecosystem Demography Model (ED–2.2) investigate how disturbances affect gross primary production (GPP), evapotranspiration (ET), sensible heat flux (H). We used...
Earth and Space Science Open Archive This work was has been accepted for publication in Journal of Geophysical Research - Biogeosciences. Version RecordESSOAr is a venue early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing the latest version by default [v2]Impacts Degradation on Water, Energy, Carbon Cycling Amazon Tropical ForestsAuthors Marcos Longo iD Sassan Saatchi Michael Keller Kevin W. Bowman...