A5102984418- Conservation, Biodiversity, and Resource Management
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Rural Development and Agriculture
- Geography and Environmental Studies
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Soil and Land Suitability Analysis
- Geochemistry and Geologic Mapping
- Agricultural and Food Sciences
- Agricultural Innovations and Practices
- Agriculture, Land Use, Rural Development
- Economic and Environmental Valuation
- Soil Management and Crop Yield
- Environmental and biological studies
- Remote Sensing and Land Use
- Advanced Image Fusion Techniques
- Coastal and Marine Management
- Soil erosion and sediment transport
- Environmental Sustainability and Education
- Agriculture and Rural Development Research
- Forest Management and Policy
- Indigenous Health and Education
- Food Supply Chain Traceability
Brazilian Agricultural Research Corporation
2016-2025
Universidade Estadual de Campinas (UNICAMP)
2015-2025
Brazilian Center for Research in Energy and Materials
2011-2023
Michigan State University
2020
Agricultural Research Corporation
2009-2020
Ministry of Agriculture, Livestock, and Food Supply
2015
Google (United States)
2013
Indiana University Bloomington
2004
Liu, J., V. Hull, M. Batistella, R. DeFries, T. Dietz, F. Fu, W. Hertel, C. Izaurralde, E. Lambin, S. Li, L. A. Martinelli, J. McConnell, Moran, Naylor, Z. Ouyang, K. Polenske, Reenberg, G. de Miranda Rocha, Simmons, P. H. Verburg, Vitousek, Zhang, and Zhu. 2013. Framing sustainability in a telecoupled world. Ecology Society 18(2): 26. https://doi.org/10.5751/ES-05873-180226
Abstract This article discusses research in which the authors applied Revised Universal Soil Loss Equation (RUSLE), remote sensing, and geographical information system (GIS) to maping of soil erosion risk Brazilian Amazonia. map survey data were used develop erodibility factor ( K ), a digital elevation model image was generate topographic LS ). The cover‐management C ) developed based on vegetation, shade, fraction images derived from spectral mixture analysis Landsat Enhanced Thematic...
Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR offered an important new structural stream for forest biomass estimations. On other hand, uncertainty analysis research only obtained sufficient attention due to difficulty in collecting reference data. This paper provides a brief overview of current estimation methods using both TM A case study is then presented that demonstrates analysis. Results indicate can provide adequate estimates secondary...
Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazônia Sustentável, RAS): multidisciplinary research initiative involving than 30 partner organizations working assess both social and ecological dimensions of land-use sustainability eastern Brazilian Amazonia. The approach adopted by RAS offers three advantages for addressing problems: (i) collection synchronized co-located socioeconomic data...
Many texture measures have been developed and used for improving land-cover classification accuracy, but rarely has research examined the role of textures in performance aboveground biomass estimations. The relationship between is poorly understood. This paper Landsat Thematic Mapper (TM) data to explore relationships TM image Rondônia, Brazilian Amazon. Eight grey level co-occurrence matrix (GLCM) based (i.e., mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment,...
Following an intense occupation process that was initiated in the 1960s, deforestation rates Brazilian Amazon have decreased significantly since 2004, stabilizing around 6000 km(2) yr(-1) last 5 years. A convergence of conditions contributed to this, including creation protected areas, use effective monitoring systems, and credit restriction mechanisms. Nevertheless, other threats remain, rapidly expanding global markets for agricultural commodities, large-scale transportation energy...
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...
Abstract Many land‐cover change detection techniques have been developed; however, different conclusions about the value or appropriateness of each exist. This difference opinion is often influenced by landscape complexity study areas and data used for analysis. Which method most suitable in Amazon tropical regions remains unclear. In this paper, 10 binary methods were implemented compared with respect to their capability detect no conditions moist regions. They are image differencing (ID),...
Four distinctly different classifiers were used to analyze multispectral data. Which of these is most suitable for a specific study area not always clear. This paper provides comparison minimum-distance classifier (MDC), maximumlikelihood (MLC), extraction and classification homogeneous objects (ECHO), decision-tree based on linear spectral mixture analysis (DTC-LSMA). Each the both Landsat Thematic Mapper data identical field-based training sample datasets in western Brazilian Amazon area....
Abstract Many data fusion methods are available, but it is poorly understood which method suitable for integrating Landsat Thematic Mapper (TM) and radar land cover classification. This research explores the integration of TM images (i.e., ALOS PALSAR L-band RADARSAT-2 C-band) classification in a moist tropical region Brazilian Amazon. Different methods—principal component analysis (PCA), wavelet-merging technique (Wavelet), high-pass filter resolution-merging (HPF), normalized...
The global food market makes international players intrinsically connected through the flow of commodities, demand, production, and consumption. Local decisions, such as new economic policies or dietary shifts, can foster changes in coupled human–natural systems across long distances. Understanding causes effects these is essential for agricultural-export countries, Brazil. Since 2000, Brazil has led expansion soybean planted area—19 million hectares, 47.5% world’s increase. Soybean among...
Abstract Human–environment interactions within and across borders are now more influential than ever, posing unprecedented sustainability challenges. The framework of metacoupling (interactions adjacent distant coupled human–environment systems) provides a useful tool to evaluate them at diverse temporal spatial scales. While most studies have so far addressed the impacts (telecouplings), few complementary interdependent effects systems (intracouplings) between (pericouplings). Using...
Abstract Private lands are important for conservation worldwide, but knowledge about their effectiveness is still insufficient. To help fill this gap, we analyzed the impacts of a national policy on private in Brazil, global biodiversity hotspot with high potential nature-based climate solutions. Through evaluation over 4 million rural properties from Rural Environmental Cadastre, found that last review 2012 mainly affected Amazon Forest. The amnesty granted to 80% landowners small prevented...
Heterogeneous Amazonian landscapes and complex forest stand structure often make aboveground biomass (AGB) estimation difficult. In this study, spectral mixture analysis was used to convert a Landsat Thematic Mapper (TM) image into green vegetation, shade, soil fraction images. Entropy analyze the complexity of examine impacts different structures on TM reflectance data. The relationships between AGB images or signatures were investigated based successional primary forests, respectively,...
Abstract Mapping and monitoring land degradation in areas under human‐induced stresses have become urgent tasks remote sensing whose importance has not yet been fully appreciated. In this study, a surface cover index (SCI) is developed to evaluate map potential risks associated with deforestation accompanying soil erosion Western Brazilian Amazon rural settlement study area. The relationships between land‐use land‐cover (LULC) types as well the impacts of LULC change on are examined. This...
Deforestation and colonization in Amazonia have attracted substantial attention. This article focuses on an area of 3,000 km 2 within the Brazilian State Rondonia. Two adjacent settlements were compared to assess role their different designs landscape change. Anari was planned following orthogonal road network. Machadinho designed with attention topography laying out roads farm properties, while including communal reserves. Field research undertaken conjunction multi-temporal classifications...
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...
The Atlantic Forest biome has only 13 percent of its pristine vegetation cover left. This article analyzes the consequences land changes on forest in Paraíba Valley, São Paulo state, Brazil, from 1985 to 2011. Multitemporal satellite image classifications were carried out map eight use and classes. increased 2,696 km2 4,704 2011, mostly over areas degraded pastures. highest rates afforestation observed within protected around eucalyptus plantations. On other hand, deforestation processes...