A5082376748- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Conservation, Biodiversity, and Resource Management
- Soil erosion and sediment transport
- Rangeland Management and Livestock Ecology
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Soil and Land Suitability Analysis
- Soil Carbon and Nitrogen Dynamics
- Agroforestry and silvopastoral systems
- Rural Development and Agriculture
- Agricultural and Food Sciences
- Environmental Sustainability and Technology
- Soil and Environmental Studies
- Agriculture Sustainability and Environmental Impact
- Soil Management and Crop Yield
- Climate change and permafrost
- Agriculture and Rural Development Research
Universidade Federal de Goiás
2019-2025
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...
Brazilian livestock is predominantly extensive, with approximately 90% of the production being sustained on pasture, which occupies around 20% territory. It estimated that more than half pastures have some level degradation. In this study, we mapped and evaluated spatiotemporal dynamics pasture quality in Brazil, between 2010 2018, considering three classes degradation: Absent (D0), Intermediate (D1), Severe (D2). There was no variation total area occupied by period, spite accentuated...
Pasture degradation poses significant economic, social, and environmental impacts in the Brazilian savanna ecosystem. Despite these impacts, effectively detecting varying intensities of agronomic biological through remote sensing remains challenging. This study explores potential eight-band PlanetScope SuperDove satellite constellation to discriminate between five classes pasture degradation: non-degraded (NDP); pastures with low- (LID) moderate-intensity (MID); severe (SAD); (SBD). Using a...
Pastures and grasslands are the largest land cover of Earth's surface, comprising fundamental landscapes for water nutrient cycling, food production, biodiversity conservation management in planet. Monitoring conditions productivity aspects these lands can lead to major contributions degradation mitigating line with sustainable development goals defined by United Nations (UN) 2030 agenda. Nevertheless, an operational approach able monitor pastures at global scale high spatial resolution...
Abstract In 2020, Brazil was the seventh largest emitter of GHG (Greenhouse Gases), releasing ~ 2.16 GtCO 2 e (gigatons carbon dioxide equivalent) into atmosphere. Activities related to land use contributed approximately 73% national emissions in that year. Considering pastures represent primary country, mapping and monitoring C stocks these areas are essential determine their participation emissions. this study, based on integrated Century model, georeferenced databases, R environment, we...
<title>Abstract</title> The paper describes the production and evaluation of global grassland dynamics mapped annually for 2000-2022 at 30~m spatial resolution. dataset showing spatiotemporal distribution cultivated natural/semi-natural classes was produced by using GLAD Landsat ARD-2 image archive, accompanied climatic, landform proximity covariates, machine learning (per-class Random Forest) over 2.3M reference samples (visually interpreted in Very High Resolution imagery). Custom...
In 2020, Brazil was the seventh largest emitter of GHG (greenhouse gases), releasing ~2.16 GtCO2e (gigatons carbon dioxide equivalent) into atmosphere. Activities related to land use contributed approximately 73% national emissions in that year. Considering pastures represent primary country, occupying 20% territory, mapping and monitoring C stocks these areas is essential determine their contribution emissions. this study, based on integrated CENTURY model, georeferenced databases, R...
Abstract Brazil is one of the largest food producers in world, a leading role that prompted profound process anthropization itslandscapes. Knowing dynamics and dimension these transformations essential for more efficient sustainable useof country’s natural resources. Thus, this study we present, based on an unprecedented sample design interpretationof 85,152 points Landsat images, area estimates main land cover use classes Brazil, as wellas their annual transitions, from 1985 to 2018. Our...
Pasturelands are vital for the environment, economy, and society globally. In Brazil, they cover approximately 18.72% of country's total area, with state Mato Grosso being a significant agricultural region. has largest cultivated area cattle herd in encompassing three biomes: Amazon, Cerrado, Pantanal. The distribution, dynamics, quality pastures crucial food supply chain present challenge Brazilian government due to deforestation land degradation. Using machine learning, cloud computing,...
The Brazilian livestock is predominantly extensive, with approximately 90% of the production being sustained on pasture, which occupies around 20% territory. In current climate change scenario and where cropland becoming a limited resource, there growing need for more efficient land use occupation. It estimated that than half pastures have some level degradation; however still no mapping quality national scale. this study, we mapped evaluated spatio-temporal dynamics pasture in Brazil,...