Henrique Cassol

ORCID: 0000-0001-6728-4712
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About
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Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Forest ecology and management
  • Remote Sensing in Agriculture
  • Conservation, Biodiversity, and Resource Management
  • Remote Sensing and LiDAR Applications
  • Fire effects on ecosystems
  • Land Use and Ecosystem Services
  • Forest Management and Policy
  • Atmospheric chemistry and aerosols
  • Economic and Environmental Valuation
  • Agricultural and Food Sciences
  • Environmental and biological studies
  • Amazonian Archaeology and Ethnohistory
  • Geography and Environmental Studies
  • Pleistocene-Era Hominins and Archaeology
  • Environmental Impact and Sustainability
  • Geochemistry and Geologic Mapping
  • Indigenous Health and Education
  • Oil Palm Production and Sustainability
  • Climate Change and Health Impacts
  • Climate variability and models
  • Plant Water Relations and Carbon Dynamics
  • Soil erosion and sediment transport
  • Soil and Land Suitability Analysis
  • Remote-Sensing Image Classification

National Institute for Space Research
2014-2024

Centro Universitário Fundação Assis Gurgacz
2024

National Centre for Earth Observation
2023

University of Edinburgh
2023

ORCID
2020

Universidade Federal de Santa Maria
2014

Abstract Tropical secondary forests sequester carbon up to 20 times faster than old-growth forests. This rate does not capture spatial regrowth patterns due environmental and disturbance drivers. Here we quantify the influence of such drivers on in Brazilian Amazon using satellite data. Carbon sequestration rates young (<20 years) west are ~60% higher (3.0 ± 1.0 Mg C ha −1 yr ) compared those east (1.3 0.3 ). Disturbances reduce by 8–55%. The 2017 forest stock, 294 Tg C, could be 8%...

10.1038/s41467-021-22050-1 article EN cc-by Nature Communications 2021-03-19
Vinícius Peripato Carolina Levis Guido A. Moreira Dani Gamerman Hans ter Steege and 95 more Nigel C. A. Pitman Jonas Gregório de Souza José Iriarte Mark Robinson André Braga Junqueira Thiago Barbosa Trindade Fernando Ozório de Almeida Claide de Paula Moraes Umberto Lombardo Eduardo Kazuo Tamanaha S. Yoshi Maezumi Jean Pierre Ometto José Renato Garcia Braga Wesley A. Campanharo Henrique Cassol Philipe Riskalla Leal Mauro Assis Adriana M. da Silva Oliver L. Phillips Flávia R. C. Costa Bernardo M. Flores Bruce Hoffman Terry W. Henkel María Natalia Umaña William E. Magnusson Elvis H. Valderrama Sandoval Jos Barlow William Milliken Maria Aparecida Lopes Marcelo Fragomeni Simon Tinde van Andel Susan G. W. Laurance William F. Laurance Armando Torres‐Lezama Rafael L. Assis Jean‐François Molino Mickaël Mestre Michelle Hamblin Luiz de Souza Coêlho Diógenes de Andrade Lima Filho Florian Wittmann Rafael P. Salomão Iêda Leão do Amaral Juan Ernesto Guevara Francisca Dionízia de Almeida Matos Carolina V. Castilho Marcelo de Jesus Veiga Carim Dairon Cárdenas López Daniel Sabatier Mariana Victória Irume Maria Pires Martins José Renan da Silva Guimarães Olaf Bánki Maria Teresa Fernandez Piedade José Ferreira Ramos Bruno Garcia Luize Evlyn Márcia Leão de Moraes Novo Percy Núñez Vargas Thiago Sanna Freire Silva Eduardo Martins Venticinque Ângelo Gilberto Manzatto Neidiane Farias Costa Reis John Terborgh Katia Regina Casula Layon O. Demarchi Eurídice N. Honorio Coronado Abel Monteagudo Mendoza Juan Carlos Montero Jochen Schöngart Ted R. Feldpausch Adriano Costa Quaresma Gerardo A. Aymard C. Christopher Baraloto Nicolás Castaño Arboleda Julien Engel Pascal Pétronelli Charles E. Zartman Timothy J. Killeen Beatriz Schwantes Marimon Ben Hur Marimon Juliana Schietti Thaiane R. Sousa Rodolfo Vásquez Lorena M. Rincón Érika Berenguer Joice Ferreira Bonifacio Mostacedo Dário Dantas do Amaral Hernán Castellanos Marcelo Brilhante de Medeiros Ana Andrade José Luís Camargo Emanuelle de Sousa Farias José Leonardo Lima Magalhães Henrique Eduardo Mendonça Nascimento

Indigenous societies are known to have occupied the Amazon basin for more than 12,000 years, but scale of their influence on Amazonian forests remains uncertain. We report discovery, using LIDAR (light detection and ranging) information from across basin, 24 previously undetected pre-Columbian earthworks beneath forest canopy. Modeled distribution abundance large-scale archaeological sites Amazonia suggest that between 10,272 23,648 remain be discovered most will found in southwest. also...

10.1126/science.ade2541 article EN Science 2023-10-06

The Amazon Basin is at the center of an intensifying discourse about deforestation, land-use, and global change. To date, climate research in has overwhelmingly focused on cycling storage carbon (C) its implications for climate. Missing, however, a more comprehensive consideration other significant biophysical feedbacks [i.e., CH 4 , N 2 O, black carbon, biogenic volatile organic compounds (BVOCs), aerosols, evapotranspiration, albedo] their dynamic responses to both localized (fire,...

10.3389/ffgc.2021.618401 article EN cc-by Frontiers in Forests and Global Change 2021-03-11

While the climate and human-induced forest degradation is increasing in Amazon, fire impacts on dynamics remain understudied wetter regions of basin, which are susceptible to large wildfires only during extreme droughts. To address this gap, we installed burned unburned plots immediately after a wildfire northern Purus-Madeira (Central Amazon) 2015 El-Niño. We measured all individuals with diameter 10 cm or more at breast height conducted recensuses track demographic drivers biomass change...

10.1098/rspb.2021.0094 article EN cc-by Proceedings of the Royal Society B Biological Sciences 2021-05-18

Abstract Atmospheric methane concentrations were nearly constant between 1999 and 2006, but have been rising since by an average of ~8 ppb per year. Increases in wetland emissions, the largest natural global source, may be partly responsible for this rise. The scarcity situ atmospheric observations tropical regions one source large disparities top-down bottom-up estimates. Here we present 590 lower-troposphere vertical profiles concentration from four sites across Amazonia 2010 2018. We find...

10.1038/s43247-021-00314-4 article EN cc-by Communications Earth & Environment 2021-11-29

Full-waveform LiDAR (FWF) offers a promising advantage over other technologies to represent the vertical canopy structure of secondary successions in Amazon region, as waveform encapsulates properties all elements intercepting emitted beam. In this study, we investigated modifications Amazonian across vegetation gradient from early advanced stages regrowth. The analysis was performed two distinct climatic regions (Drier and Wetter), designated using Maximum Cumulative Water Deficit (MCWD)....

10.3390/rs16122085 article EN cc-by Remote Sensing 2024-06-09

Abstract A quarter of the deforested Amazon has regrown as secondary tropical forest and yet climatic importance these complex regenerating landscapes is only beginning to be recognised. Advances in satellite remote-sensing have transformed our ability detect map changes cover, while detailed ground-based measurements from permanent monitoring plots eddy-covariance flux towers are providing new insights into role forests climate system. This review summarises how progress data availability...

10.1088/1748-9326/adb984 article EN cc-by Environmental Research Letters 2025-02-24

Quantifying forest fires remain a challenging task for the implementation of public policies aimed to mitigate climate change. In this paper, we propose new method provide an annual burned area map Mato Grosso State located in Brazilian Amazon region, taking advantage high spatial and temporal resolution sensors. The consists generating vegetation, soil, shade fraction images by applying Linear Spectral Mixing Model (LSMM) Landsat-8 OLI (Operational Land Imager), PROBA-V (Project On-Board...

10.3390/rs12223827 article EN cc-by Remote Sensing 2020-11-21

With deforestation and associated fires ongoing at high rates, amidst urgent need to preserve Amazonia, improving the understanding of biomass burning emissions drivers is essential. The use orbital remote sensing data enables estimate both deforestation. In this study, we have estimated particulate matter with diameter less than 2.5 µm (PM2.5) burning, a primary human health risk, using Brazilian Biomass Burning emission model Fire Radiative Power (3BEM_FRP), based on MapBiomas dataset....

10.3390/f12091217 article EN Forests 2021-09-07

Abstract. Tropical forests such as the Amazonian rainforests play an important role for climate, are large carbon stores and a treasure of biodiversity. have been exposed to large-scale deforestation degradation many decades. Deforestation declined between 2005 2012 but more recently has again increased with similar rates in 2007–2008. The resulting forest fragments substantially elevated temperatures already warming world. These temperature land cover changes expected affect forests,...

10.5194/acp-23-9685-2023 article EN cc-by Atmospheric chemistry and physics 2023-09-01

Secondary forests (SF) are important carbon sinks, removing CO2 from the atmosphere through photosynthesis process and storing photosynthates in their aboveground live biomass (AGB). This occurring at large-scales partially counteracts C emissions land-use change, playing, hence, an role global cycle. The absorption rates of these depend on forest physiology, controlled by environmental climatic conditions, as well past land use, which is rarely considered for retrieving AGB remotely sensed...

10.3390/rs11010059 article EN cc-by Remote Sensing 2018-12-29

Brazil, with more than 8 million km <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , presents six different biomes, ranging from natural grasslands (Pampa biome) to tropical rainfall forests (Amazônia biome), land-use types (mostly pasturelands and croplands) pressures (mainly in the Cerrado biome). The objective of this article is present a new method discriminate most representative land use cover (LULC) classes based on PROBA-V...

10.1109/jstars.2020.2994893 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020-01-01

This article presents a method, based on orbital remote sensing, to map the extent of forest plantations in São Paulo State (Southeast Brazil). The proposed method uses random machine learning algorithm available Google Earth Engine (GEE) cloud computing platform. We used 30 m annual mosaics derived from Landsat-5 Thematic Mapper (TM) images and Landsat-8 Operational Land Imager (OLI) for 1985 1995 2013 2021 time periods, respectively. These periods were selected planted areas’ rotation,...

10.3390/f13101716 article EN Forests 2022-10-18

This work aims to develop a new method map Land Use and Cover (LULC) classes in the São Paulo State, Brazil, using Landsat-8 Operational Imager (OLI) data. The novelty of proposed consists selecting images based on spectral temporal characteristics LULC classes. First, we defined six be mapped year 2020 as forest, forest plantation, water bodies, urban areas, agriculture, pasture. Second, visually analyzed their variability over year. Then, pre-processed these highlight each class. For...

10.3390/f14081669 article EN Forests 2023-08-18

Aircraft atmospheric profiling is a valuable technique for determining greenhouse gas fluxes at regional scales (104–106 km2). Here, we describe new, simple method estimating the surface influence of air samples that uses backward trajectories based on Lagrangian model Hybrid Single-Particle Integrated Trajectory Model (HYSPLIT). We determined “regions influence” quarterly basis between 2010 and 2018 four aircraft vertical profile sites: SAN ALF in eastern Amazon, RBA TAB or TEF western...

10.3390/atmos11101073 article EN cc-by Atmosphere 2020-10-09

A tuberculose é uma doença infecciosa ainda prevalente nos dias atuais, mantendo-se como um grave problema de saúde pública, demandando atenção e cuidado em seu manejo. Esse estudo quantitativo observacional, realizado utilizando o banco dados do SINAN, por meio DATASUS. O qual objetiva observar descrever perfil epidemiológico mais acometido pela doença, também considerando os métodos diagnósticos utilizados, assim sua importância. Como amostra foram utilizados pacientes notificados com...

10.51891/rease.v9i12.12757 article PT cc-by Revista Ibero-Americana de Humanidades, Ciências e Educação 2024-01-05

Abstract Tropical forests are increasingly threatened by deforestation and degradation, impacting carbon storage, climate regulations biodiversity. Restoring these ecosystems is crucial for environmental sustainability, yet monitoring efforts poses significant challenges. Secondary in a constant state of flux, with growth depending on multiple factors. Remote sensing technologies offer cost‐effective, scalable transferable solutions, advancing forest restoration towards more accurate,...

10.1111/1365-2664.14830 article EN Journal of Applied Ecology 2024-12-08

ABSTRACT This paper presents a novel approach for estimating the height of individual trees in secondary forests at two study sites: Manaus (central Amazon) and Santarém (eastern Brazilian Amazon region. The consists adjusting tree height-diameter breast (H:DBH) models each site by ecological species groups: pioneers, early secondary, late secondary. Overall, DBH corresponding (H) 1,178 were measured during field campaigns: August 2014 September 2015 Santarém. We tested five most commonly...

10.1590/1809-4392201700844 article EN cc-by-nc Acta Amazonica 2018-07-27

Amazon forests are the largest in tropics and play a fundamental role for regional global ecosystem service provision. However, they under threat primarily from deforestation. Amazonia's carbon balance trend reflects condition of its forests. There different approaches to estimate large-scale balances, including top-down (e.g., CO 2 atmospheric measurements combined with transport information) bottom-up land use cover change (LUCC) data based on remote sensing methods). It is important...

10.3389/ffgc.2023.1107580 article EN cc-by Frontiers in Forests and Global Change 2023-08-23

This paper presents a new approach for rapidly assessing the extent of land use and cover (LULC) areas in Mato Grosso state, Brazil. The novel idea is an annual time series fraction images derived from linear spectral mixing model (LSMM) instead original bands. LSMM was applied to Project On-Board Autonomy-Vegetation (PROBA-V) 100-m data composites 2015 (~73 scenes/year, cloud-free images, theory), generating vegetation, soil, shade images. These highlight LULC components inside pixels....

10.3390/land9050139 article EN cc-by Land 2020-05-02

This paper presents a new method for rapid assessment of the extent annual croplands in Brazil. The proposed applies linear spectral mixing model (LSMM) to PROBA-V time series images derive vegetation, soil, and shade fraction regional analysis. We used S10-TOC (10 days synthesis, 1 km spatial resolution, top-of-canopy) products Brazil S5-TOC (five 100 m Mato Grosso State (Brazilian Legal Amazon). Using vegetation whole year (2015 this case), only one mosaic composed with maximum values was...

10.3390/rs12071152 article EN cc-by Remote Sensing 2020-04-03
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