A5062886909- Geography and Environmental Studies
- Remote Sensing in Agriculture
- Rural Development and Agriculture
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
- Soil and Land Suitability Analysis
- Remote Sensing and LiDAR Applications
- Agricultural and Food Sciences
- Smart Agriculture and AI
- Agriculture, Land Use, Rural Development
- Remote Sensing and Land Use
- Spectroscopy and Chemometric Analyses
- Land Rights and Reforms
- History of Colonial Brazil
- Remote-Sensing Image Classification
- Cerebrovascular and Carotid Artery Diseases
- Acute Ischemic Stroke Management
- Clinical practice guidelines implementation
- Fish biology, ecology, and behavior
- Agriculture and Rural Development Research
- Ruminant Nutrition and Digestive Physiology
- Fire dynamics and safety research
- Soil Management and Crop Yield
- Leaf Properties and Growth Measurement
- Image Retrieval and Classification Techniques
Brazilian Agricultural Research Corporation
2013-2023
Sociedade Brasileira de Anestesiologia
2022
Universidade do Estado do Rio de Janeiro
2020
Instituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro
2013
Google (United States)
2013
ABSTRACT Understanding spatial patterns of land use and cover is essential for studies addressing biodiversity, climate change environmental modeling as well the design monitoring policies. The aim this study was to create a detailed map deforested areas Brazilian Legal Amazon up 2008. Deforestation data from uses were mapped with Landsat-5/TM images analysed techniques, such linear spectral mixture model, threshold slicing visual interpretation, aided by temporal information extracted NDVI...
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...
Previous research has established the usefulness of remotely sensed vegetation index (VI) data from Moderate Resolution Imaging Spectroradiometer (MODIS) to characterize spatial dynamics agriculture in state Mato Grosso (MT), Brazil. With these it become possible track MT agriculture, which accounts for ~85% Brazilian Amazon soy production, across periods several years. Annual land cover (LC) maps support investigation spatiotemporal as they relate forest and governance policy efforts lower...
Abstract: The objective of this work was to analyze land use dynamics in the Brazilian Cerrado region from 2002 2013. This analysis based on interpretation Landsat satellite images carried out by projects Projeto de Conservação e Utilização Sustentável da Diversidade Biológica Brasileira (Probio) and TerraClass 2013, both coordinated Ministério do Meio Ambiente. In 2002, 38.9% covered some type anthropic activity. percentage increased 43.4%. One main highlights is emergence a new...
Fast and accurate quantification of the available pasture biomass is essential to support grazing management decisions in intensively managed fields. The increasing temporal spatial resolutions offered by new generation orbital platforms, such as Planet CubeSat satellites, have improved capability monitoring using remotely sensed data. Here, we assessed feasibility spectral textural information derived from PlanetScope imagery for estimating aboveground (AGB) canopy height (CH) fields...
Abstract This study examines how land tenure constrains Brazil’s ability to meet its deforestation control and forest restoration goals in Amazonia biome. Our findings are based on an updated assessment of use the region. Between 2019 2021, 44% occurred private lands, while removal settlements ranged from 31% 27% total. Deforestation undesignated public lands increased 11% 2008 18% 2021. is highly concentrated, with 1% properties accounting for 82.5% cuts In Amazonia, there considerable...
The Brazilian Cerrado is one of the world´s biodiversity hotspot and hosts some most intensive agricultural activities for food production in world. objective this study was to produce a land-use land-cover (LULC) map based on Landsat-8 Operational Land Imager (OLI) images. A set 121 scenes from 2013 processed using image segmentation technique. segments were exported shapeï¬ le format interpreted visually geographical information system software RGB/564 color composites. following LULC...
The objective of this work was to evaluate a simple, semi‑automated methodology for mapping cropland areas in the state Mato Grosso, Brazil. A Fourier transform applied over time series vegetation index products from moderate resolution imaging spectroradiometer (Modis) sensor. This procedure allows evaluation amplitude periodic changes response through and identification with strong seasonal variation related crop production. Annual masks 2006 2009 were generated municipal estimated remote...
This study aimed to map, separate, and estimate soya bean corn crop areas in Paraná State, Brazil, the harvest years 2012/13 2013/14, using enhanced vegetation index (EVI) images from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. Thus, two methodologies were integrated, first considering heterogeneity on dates of cycles, scenes required generate minimum maximum indexes, creating a colour composite red, green, blue (RGB), identifying cultures simultaneously. In second...
The performance of pattern classifiers depends on the separability classes in feature space - a property related to quality descriptors and choice informative training samples for user labeling procedure that usually requires active learning. This work is devoted improve when are superpixels from remote sensing images. We introduce new scheme superpixel description based Bag visual Words, which includes information adjacent superpixels, validate it by using two images several region as baselines.
Regenerative agricultural practices are a suitable path to feed the global population. Integrated Crop–livestock systems (ICLSs) key approaches once area provides animal and crop production resources. In Brazil, expectation is increase of ICLS fields by 5 million hectares in next five years. However, few methods have been tested regarding spatial temporal scales map monitor fields, none these use SAR data. Therefore, this work, we explored potential three machine deep learning algorithms...
Objetivou-se com este trabalho avaliar a taxa de lotação e produção leite vacas mestiças Holandês x Zebu em pastagens Tifton 85 irrigadas sequeiro, Uberaba-MG. Os dados foram analisados um delineamento blocos inteiramente ao acaso, três repetições por tratamento, num esquema fatorial 2x10 (dois tratamentos 10 épocas). Foi utilizado lote 11 lactação tratamento para avaliação do desempenho animal. As médias comparadas meio teste Scott-Knott nível 5% probabilidade (P<0,05). A pastagem foi...