Márcio Sales

ORCID: 0000-0001-8897-742X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Conservation, Biodiversity, and Resource Management
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Forest ecology and management
  • Forest Management and Policy
  • Economic and Environmental Valuation
  • Soil Geostatistics and Mapping
  • Forest Biomass Utilization and Management
  • Soil erosion and sediment transport
  • Environmental Impact and Sustainability
  • Bioenergy crop production and management
  • Remote Sensing and LiDAR Applications
  • Energy, Environment, Economic Growth
  • Remote-Sensing Image Classification
  • Wildlife Ecology and Conservation
  • Climate Change Policy and Economics
  • Global Trade and Competitiveness
  • Soil and Land Suitability Analysis
  • Groundwater and Watershed Analysis
  • Biofuel production and bioconversion
  • Land Rights and Reforms
  • Flood Risk Assessment and Management
  • Agricultural and Food Sciences
  • African Botany and Ecology Studies
  • Urban Development and Societal Issues

Imazon
2006-2021

Wageningen University & Research
2016-2021

C.T. de Wit Graduate School for Production Ecology and Resource Conservation
2012

Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently monitor Cerrado biome. However, there is still gap of land use cover (LULC) information all Brazilian biomes country. Existing countrywide efforts map lack regularly updates high spatial resolution time-series data better understand historical dynamics, subsequent impacts country biomes. In this study, we described novel approach results achieved by multi-disciplinary network called MapBiomas...

10.3390/rs12172735 article EN cc-by Remote Sensing 2020-08-25

Forest degradation in the Brazilian Amazon due to selective logging and forest fires may greatly increase human footprint beyond outright deforestation. We demonstrate a method quantify annual deforestation simultaneously across entire region for years 2000–2010 using high-resolution Landsat satellite imagery. Combining spectral mixture analysis, normalized difference fraction index, knowledge-based decision tree classification, we mapped assessed accuracy (0.97), (0.85) (0.82) with an...

10.3390/rs5115493 article EN cc-by Remote Sensing 2013-10-28

Abstract This work presents the SEEG platform, a 46-year long dataset of greenhouse gas emissions (GHG) in Brazil (1970–2015) providing more than 2 million data records for Agriculture, Energy, Industry, Waste and Land Use Change Sectors at national subnational levels. The was developed by Climate Observatory, Brazilian civil society initiative, based on IPCC guidelines National Inventories embedded with country specific emission factors processes, raw from multiple official non-official...

10.1038/sdata.2018.45 article EN cc-by Scientific Data 2018-05-29

The Brazilian Amazon is one of the areas on planet with fastest changes in forest cover due to deforestation associated agricultural expansion and infrastructure development. These drivers change, directly indirectly, affect water ecosystem. In this study, we present a long-term spatiotemporal analysis surface annual change address potential connections deforestation, climate region. To do that, used Landsat Data Archive (LDA), Earth Engine cloud computing platform, map analyze between 1985...

10.3390/w11030566 article EN Water 2019-03-19

In this article, we simulate forest fragmentation patterns by reference to the actual decision-making of agents engaged in process itself. We take as our empirical case Brazilian Amazon basin associated with road-building loggers. Roads built private sector, particularly loggers, play a decisive role dynamics frontier expansion Amazon. Our objective is explain manner which logging roads manifest spatially, thereby creating fragmented landscapes small portion so-called “Terra do Meio,” region...

10.14358/pers.74.6.699 article EN cc-by-nc-nd Photogrammetric Engineering & Remote Sensing 2008-06-01

Forest-fragmentation-related edge effects are one of the major causes forest degradation in Amazonia and their spatio-temporal dynamics highly influenced by annual deforestation patterns. Rapid biomass collapse due to fragments has been reported Brazilian Amazon; however collective impacts this process on Amazonian carbon fluxes poorly understood. We estimated loss emissions from fragmentation related basis INPE (Brazilian National Space Research Institute) PRODES data volume data. The areas...

10.1088/1748-9326/6/4/044003 article EN cc-by Environmental Research Letters 2011-10-01

The Moderate Resolution Imaging Spectroradiometer (MODIS) has been used in several remote sensing studies, including land, ocean, and atmospheric applications. advantages of this sensor are its high spectral resolution, with 36 bands; revisiting frequency; public domain availability. first seven bands MODIS the visible, near-infrared, mid-infrared regions electromagnetic spectrum which sensitive to changes due deforestation, burned areas, vegetation regrowth, among other land-use changes,...

10.1109/tgrs.2012.2208467 article EN IEEE Transactions on Geoscience and Remote Sensing 2012-09-06

Estimates of the area land cover classes or change are frequently calculated from classification maps by counting pixels labeled as each class in map. This procedure is known to produce biased estimates for many widely used algorithms, including random forests. Poststratification estimation using mapped strata has been proposed obtain unbiased areas. Still, method requires additional sampling units, which may not be available most efficient depending on application. Alternatively, consistent...

10.1109/tgrs.2021.3080083 article EN IEEE Transactions on Geoscience and Remote Sensing 2021-06-09

Forest fragmentation due to deforestation is one of the major causes forest degradation in Amazon. Biomass collapse near edges, especially within 100 m, alters aboveground biomass and has potentially important implications for carbon emissions region. This phenomenon tightly linked spatial temporal dynamics edges a landscape. However, potential loss from these spatiotemporal changes have never been estimated actual landscapes We conducted deep analysis Rondônia, southwestern Brazilian...

10.1029/2009jg001198 article EN Journal of Geophysical Research Atmospheres 2010-09-01

This article addresses the spatial decision-making of loggers and implications for forest fragmentation in Amazon basin. It provides a behavioral explanation by modeling how build road networks, typically abandoned upon removal hardwoods. Logging networks provide access to land, settlers who take advantage them clear fields pastures that accentuate their signatures. In shaping agricultural activities, these organize emergent patterns fragmentation, even though move elsewhere. The goal is...

10.1890/11-1800.1 article EN Ecological Applications 2013-01-01

Historic carbon emissions are an important foundation for proposed efforts to Reduce Emissions from Deforestation and forest Degradation enhance stocks through conservation sustainable management (REDD+). The level of uncertainty in historic estimates is also critical REDD+, since high uncertainties could limit climate benefits credited mitigation actions. Here, we analyzed source data based on the range available deforestation, degradation, stock Brazilian state Mato Grosso during...

10.1186/1750-0680-6-18 article EN cc-by Carbon Balance and Management 2011-12-01

Abstract As Amazon deforestation rates reach the highest levels observed in past decade, it is extremely important to direct conservation efforts regions containing preserved forests with a high risk of deforestation. This requires forecasting deforestation, complex endeavor due interplay multiple socioeconomic, political, and environmental factors across different spatial temporal scales. Here we couple high-resolution land-cover maps Bayesian hierarchical models identify main drivers...

10.1088/1748-9326/ac146a article EN cc-by Environmental Research Letters 2021-07-14

We performed high‐spatial and high‐temporal resolution modeling of carbon stocks fluxes in the state Rondônia, Brazil for period 1985–2009, using annual Landsat‐derived land cover classifications a modified bookkeeping approach. According to these results, Rondônia contributed 3.5–4% pantropical humid forest deforestation emissions over this period. Similar well‐known figures reported by Brazilian Space Agency, we found decline rates since 2006. However, estimate lesser decrease, with...

10.1002/jgrg.20033 article EN Journal of Geophysical Research Biogeosciences 2013-02-15

A demanda por informação geográfica detalhada para gestão socioambiental de municípios da Amazônia aumentou recentemente com a criação uma lista críticos que mais desmatam as florestas região, instituída pelo Ministério do Meio Ambiente. Duas informações são essenciais saída crítica: o georeferenciamento propriedades rurais e sua inserção no Cadastro Ambiental Rural (CAR); monitoramento desmatamento. Neste artigo, apresentamos os resultados construção base geográficas Paragominas crítica...

10.14393/rbcv65n3-44808 article PT cc-by-nc Revista Brasileira de Cartografia 2013-05-24

In Brazil, a significant reduction in deforestation rates occurred during the last decade. spite of that fact, average annual are still too high, approximately 400.000 ha/year (INPE/Prodes). The projects emissions through avoided (REED+) an important tool to reduce Brazil. Understanding amazon forest structure, terms biomass stock is key design strategies. this work, we analyze data results from aboveground 1,019.346,27 hectares state Pará. It was collected 16,722 trees 83 random independent...

10.1590/0001-3765201620140646 article EN cc-by Anais da Academia Brasileira de Ciências 2016-03-02

Roads: the bane of Amazonian Forest. These are improvements being made rapidly to “Soy Highway,” or BR-163, which is irreversibly opening entire central basin in Pará State agricultural development. Photo credit: Robert Walker. Our study addresses emergent forest fragmentation resulting from logging road networks, with support National Science Foundation (NSF-GSS-0822597, Territorializing Exploitation Space and Fragmentation Amazon Forest; NSF-GSS- 0243102, Socio-spatial Processes Road...

10.1890/0012-9623-94.1.100 article EN Bulletin of the Ecological Society of America 2013-01-01
Coming Soon ...