A5006130615- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Smart Agriculture and AI
- Land Use and Ecosystem Services
- Remote-Sensing Image Classification
- Spectroscopy and Chemometric Analyses
- Soil and Land Suitability Analysis
- Soil Geostatistics and Mapping
- Remote Sensing and Land Use
- Leaf Properties and Growth Measurement
- Sugarcane Cultivation and Processing
- Conservation, Biodiversity, and Resource Management
- Geography and Environmental Studies
- Agriculture, Land Use, Rural Development
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Environmental and biological studies
- Land Rights and Reforms
- Rural Development and Agriculture
- Agricultural and Food Sciences
- Satellite Image Processing and Photogrammetry
- Rice Cultivation and Yield Improvement
- Agricultural Innovations and Practices
- Plant Water Relations and Carbon Dynamics
- Advanced Image Fusion Techniques
- Machine Learning and Data Classification
National Institute for Space Research
2016-2025
Universidade Estadual de Campinas (UNICAMP)
2012-2014
Massey University
2006-2012
The rapid population growth has driven the demand for more food, fiber, energy, and water, which is associated to an increase in need use natural resources a sustainable way. of precision agriculture machinery equipment since 1990s provided important productive gains maximized agricultural inputs. growing connectivity rural environment, addition its greater integration with data from sensor systems, remote sensors, equipment, smartphones have paved way new concepts so-called Agriculture 4.0...
Only well-chosen segmentation parameters ensure optimum results of object-based image analysis (OBIA). Manually defining suitable parameter sets can be a time-consuming approach, not necessarily leading to results; the subjectivity manual approach is also obvious. For this reason, in supervised as proposed by Stefanski et al. (2013) one integrates and classification tasks. The optimized directly with respect subsequent classification. In contribution, we build on work developed fully...
The paradox between environmental conservation and economic development is a challenge for Brazil, where there complex dynamic agricultural scenario. This reinforces the need effective methods detailed mapping of agriculture. In this work, we employed land surface phenological metrics derived from dense satellite image time series to classify in Cerrado biome. We used all available Landsat images April 2013 2017, applying weighted ensemble Radial Basis Function (RBF) convolution filters as...
The potential of optical remote sensing data to identify, map and monitor croplands is well recognized. However, clouds strongly limit the usefulness imagery for these applications. This paper aims at assessing cloud cover conditions over four states in tropical sub-tropical Center-South region Brazil guide development an appropriate agricultural monitoring system based on Landsat-like imagery. Cloudiness was assessed during overlapping months periods match typical length crop cycles study...
In tropical/subtropical regions, the favorable climate associated with use of agricultural technologies, such as no tillage, minimum cultivation, irrigation, early varieties, desiccants, flowering inducing, and crop rotation, makes agriculture highly dynamic. this letter, we present Campo Verde database. The purpose creating sharing these data is to foster advancement remote sensing technology in areas tropical agriculture, primarily development testing methods for recognition mapping. a...
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...
Brazil can provide ecosystem services, food, and combat climate change-related vulnerabilities. However, this possibility is obliterated by the increasing deforestation in Brazilian Legal Amazon derived from illegalities political incentives to a business-as-usual economic development model that clears land for real estate speculation or extensive agro-livestock. Recently, state governments of Amazonas, Acre, Rondônia, supported agro-livestock-related institutions, proposed zone region...
Accurate crop type identification and area estimation from remote sensing data in tropical regions are still considered challenging tasks. The more favorable weather conditions, comparison to the characteristic conditions of temperate regions, permit higher flexibility land use, planning, management, which implies complex dynamics. Moreover, frequent cloud cover prevents use optical during large periods year, making SAR an attractive alternative for mapping regions. This paper evaluates...
Demand for agricultural exports in Brazil has stimulated the expansion of crop production and cattle raising, which caused environmental impacts. In response, developed public policies such as new Forest Code (FC) supply chain arrangements Soy Cattle Moratoriums. This paper analyzes effectiveness these policies, considering trajectories state Mato Grosso three years: 2005 (pre-moratorium before FC), 2010 (post-moratorium FC) 2017 post-new FC). Our analysis uses a detailed land use change...
Land use and land cover (LULC) mapping initiatives are essential to support decision making related the implementation of different policies. There is a need for timely accurate LULC maps. However, building them challenging. changes affect natural areas local biodiversity. When they cause landscape fragmentation, monitoring affected. Due this situation, improving efforts in fragmented biomes ecosystems crucial, adequate separability classes key factor process. We believe that combining...
Farmers in the Brazilian Cerrado are increasing grain production by cultivating second crops during same crop growing season. The release of PlanetScope (PS) satellite images represents an innovative opportunity to monitor double cropping production. In this study, we analyzed potential six PS monthly mosaics from 2021/2022 season discriminate areas municipality Goiatuba, Goiás State, Brazil. four multispectral bands were converted into normalized difference vegetation index (NDVI), enhanced...
Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly transition between Cerrado and Amazon Forest, to increase productivity while reducing pressure for new land clearing. Due growing demand more sustainable practices, accurate information on geospatial monitoring is required. Remote sensing products artificial intelligence models pixel-by-pixel classification great potential. Therefore, we developed a methodological framework with spectral...
Precision nutrient management needs analytical tools that aid collection of site-specific data. Adequate soil phosphorus (P) and potassium (K) fertility is crucial for pasture production in New Zealand. This article explores (a) the relationship between 12 spectral indices from situ canopy reflectance growth rate (PGR), P K content pastures, (b) performance model different seasons (c) sensed (Olsen P) (exchangeable K) fertility. Hyperspectral data were collected a small area each 30...