A5031992208- Remote Sensing in Agriculture
- Geography and Environmental Studies
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Environmental and biological studies
- Forest ecology and management
- Conservation, Biodiversity, and Resource Management
- Land Use and Ecosystem Services
- Advanced Image Fusion Techniques
- Species Distribution and Climate Change
- Leaf Properties and Growth Measurement
- Agricultural and Food Sciences
- Ecology and Vegetation Dynamics Studies
- Soil and Land Suitability Analysis
- Animal and Plant Science Education
- Remote Sensing and Land Use
- Geochemistry and Geologic Mapping
- Soil Geostatistics and Mapping
- Soil erosion and sediment transport
- Fire effects on ecosystems
- Forest Management and Policy
- Smart Agriculture and AI
- Fish biology, ecology, and behavior
- Soil Management and Crop Yield
- Environmental Sustainability and Education
Purdue University West Lafayette
2025
Universidade Federal de Lavras
2014-2024
Senckenberg Natural History Collections Dresden
2023
Universidade Nova de Lisboa
2020
Kansas Department for Children and Families
2010
Wageningen University & Research
2000-2001
Characterizations of land-cover dynamics are among the most important applications Earth observation data, providing insights into management, policy and science. Recent progress in remote sensing associated digital image processing offers unprecedented opportunities to detect changes land cover more accurately over increasingly large areas, with diminishing costs time. The advent high-spatial-resolution remote-sensing imagery further provides apply change detection object-based analysis...
We used the Visible Infrared Imaging Radiometer Suite (VIIRS) active fire data (375 m spatial resolution) to automatically extract multispectral samples and train a One-Class Support Vector Machine for burned area mapping, applied resulting classification algorithm 300-m resolution imagery from Project On-Board Autonomy-Vegetation (PROBA-V). The were screened prevent extraction of unrepresentative combined with surface reflectance bi-weekly composites produce maps. procedure was over...
This Letter presents the preliminary findings of a new approach to deal with misregistration effects on change detection results. A multiresolution analysis wavelet transforms applied image differencing results enabled extraction changed sites according size classes. Changes interest were pinpointed successfully without necessity accurate spatial registration or radiometric rectification while differences not related land cover changes bypassed. The method's applicability is demonstrated...
A new method for remote-sensing land-use/land-cover (LULC) change detection is proposed to eliminate the effects of forest phenology on classification results. This insensitive spectral changes caused by vegetation seasonality and uses an object-based approach extract geostatistical features from bitemporal Landsat TM (Thematic Mapper) images. We first create image objects multiresolution segmentation (semivariogram parameters indices) information (average values) NDVI (normalized difference...
Change detection methods are often incapable of accurately detecting changes within time series that heavily influenced by seasonal variations. Techniques for de-seasoning or apply the spatial context have been used to improve results change detection. However, few studies explored Landsat’s shortwave infrared channel (SWIR 2) discriminate between and land use/land cover (LULCC). Here, we effectiveness Operational Land Imager (OLI) spectral bands vegetation indices deforestation in highly...
ABSTRACT Modeling of the ecological niche vegetal species is useful for understanding species-environment relationship, prediction responses to climate changes and correct reforestation programs establishment plantation’s recommendation. The objective this work was establish a model distribution four tree (Casearia sylvestris, Copaifera langsdorffii, Croton floribundus Tapirira guianensis), widely used in projects state Minas Gerais, Brazil. In addition, we analyzed relationship between...
ABSTRACT Reduced-impact logging is a well known practice applied in most sustainable forest management plans the Amazon. Nevertheless, there are still ways to improve operational planning process. Therefore, aim of this study was create an integer linear programming (ILP) fill knowledge gaps decision support system reduced impact explorations. The minimization harvest tree distance wood log landing assessed. Forest structure aspects, income and production were set model, as adjacency...
There is currently a lot of interest in determining the state Brazilian grasslands. Governmental actions and programs have recently been implemented for grassland recovery states, with aim improving production systems socioeconomic indicators. The this study to evaluate vegetative growth, temporal vigor, long-term scenarios grasslands Zona da Mata, Minas Gerais State, Brazil, by integrating phenological metrics. We used metrics derived from normalized difference vegetation index (NDVI) time...
Abstract Hydropower in the Brazilian Amazon is a prevalent form of development, but dams have widespread and long-term environmental impacts that include deforestation areas surrounding dams. Small hydropower plants (SHPs) are often perceived as having reduced compared to large ones. In Brazil, SHPs licensed by state governments, which less strict requirements than federal agency. Brazil’s definition ‘small’ has grown with successive increases maximum installed capacity from 10 30 50...
Satellite-based land use monitoring and farm-level traceability offer opportunities for targeted zero-deforestation interventions on private lands. Brazil's Rural Environmental Registry (Cadastro Ambiental Rural, or "CAR"), a cadaster based self-declaration of property boundaries, was created to monitor compliance with national forest laws. It has become an important enabling measure sustainable supply chain initiatives like the Amazon Soy Moratorium. However, CAR enrollment is increasingly...
http://dx.doi.org/10.5902/1980509815743Este trabalho analisou a fragmentação florestal da Área de Proteção Ambiental Coqueiral, que está localizada no município região Sul do estado Minas Gerais. O objetivo foi avaliar área estudo, partir métricas paisagem, bem como elaborar modelos simulação intuito fornecer cenários futuros restauração ecológica, e compará-los com situação atual paisagem. A análise uso ocupação terra obtida por meio técnicas Sistemas Informação Geográfica Sensoriamento...
Light Detection and Ranging, or LIDAR, has become an effective ancillary tool to extract forest inventory data for use in other studies. This work was aimed at establishing methodology using LIDAR tree count a stand of Eucalyptus sp. located southern Bahia state. Information provided includes in-flight gross processing final count. Intermediate steps are critical importance the quality results include following stages: organizing point clouds, creating canopy surface model (CSM) through TIN...
We assessed the value of applying random forest analysis (RF) to relating metrics deforestation (DF) and fragmentation (FF) socioeconomic (SE) biogeophysical (BGP) factors, in Brazilian Atlantic Forest Minas Gerais, Brazil. A vegetation-monitoring project provided land cover maps, from which we derived DF FF metrics. An ecologic-economical zoning more than 300 SE BGP factors. used RF identify relationships between these sets variables compared its performance this task that a traditional...
Resumo: O objetivo deste trabalho foi determinar a distribuição potencial de 23 espécies pioneiras no Estado Minas Gerias, além identificar as variáveis ambientais que influenciam suas distribuições. algoritmo Maxent escolhido para relacionar ocorrência às seguintes bioclimáticas: variação diurna temperatura, isotermalidade, sazonalidade da precipitação do mês mais seco, (coeficiente variação) e evapotranspiração real. Também foram avaliados índice vegetação por diferença normalizada (NDVI),...
A implantação de Unidades Conservação tem sido uma das melhores formas conservação da biodiversidade. Regiõesde maiores altitudes como as Serra Carrancas e Luminárias, em Minas Gerais, possuem características físicas bióticas que fazem destes ambientes detentores espécies endêmicas alta Entretanto, são altamente susceptíveis aos processos erosivos acelerados, o ocasiona a perda solo, hábitat espécies. Objetivou-se, com presente estudo, avaliar região Luminárias através indicadores...