A5005876815- Remote Sensing in Agriculture
- Sugarcane Cultivation and Processing
- Spectroscopy and Chemometric Analyses
- Remote Sensing and LiDAR Applications
- Geography and Environmental Studies
- Soil Geostatistics and Mapping
- Rural Development and Agriculture
- Land Use and Ecosystem Services
- Environmental and biological studies
- Leaf Properties and Growth Measurement
- Soil and Land Suitability Analysis
- Soil Management and Crop Yield
- Smart Agriculture and AI
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Conservation, Biodiversity, and Resource Management
- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Agricultural and Food Sciences
- Geographic Information Systems Studies
- Forest Biomass Utilization and Management
- Plant Growth Enhancement Techniques
- Sustainable Agricultural Systems Analysis
- Rice Cultivation and Yield Improvement
- Soybean genetics and cultivation
Universidade Estadual de Campinas (UNICAMP)
2013-2022
Bellingham Technical College
2018
Hospital de Clínicas da Unicamp
2003-2016
University of Lisbon
2013
University of Évora
2013
Abstract A new 1 km global IIASA ‐ IFPRI cropland percentage map for the baseline year 2005 has been developed which integrates a number of individual maps at to regional national scales. The products include existing land cover such as GlobCover and MODIS v.5, AFRICOVER from mapping agencies other organizations. different are ranked level using crowdsourced data Geo‐Wiki create that reflects likelihood cropland. Calibration with subnational crop statistics was then undertaken distribute...
The use of unmanned aerial systems (UAS) as remote-sensing platforms has tremendous potential for obtaining detailed, site-specific descriptions crop features, which would be very useful precision agriculture. In sugarcane plantations, example, cane height can an indicator yield and other parameters because it is highly influenced by the soil, total sugar content, leaf nitrogen temperature light intensity. This article describes generation surface models (CSMs) from high-resolution images...
Food security is a key global concern. By 2050, the population will exceed 9 billion, and 50% increase in annual agricultural output be required to keep up with demand. There are significant additional pressures on existing land through increased competition from biofuel sector need elevate feed production, which being driven by higher levels of meat consumption low‐ middle‐income countries.
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...
Space-based remote sensing imagery can provide a valuable and cost-effective set of observations for mapping crop-productivity differences. The effectiveness such signals is dependent on several conditions that are related to crop sensor characteristics. In this paper, we present the dynamic behavior from five Synthetic Aperture Radar (SAR) sensors optical with growing sugarcane, focusing saturation effects influence precipitation events. addition, analyzed level agreement within between...
The current system used in Brazil for sugarcane (Saccharum officinarum L.) crop forecasting relies mainly on subjective information provided by sugar mill technicians and about demands of raw agricultural products from industry. This study evaluated the feasibility to estimate yield at municipality level São Paulo State, Brazil, using 10-day periods SPOT Vegetation NDVI images ECMWF meteorological data. Twenty municipalities seven cropping seasons were selected between 1999 2006. plant...
Spectral information is well related with agronomic variables and can be used in crop monitoring yield forecasting. This paper describes a multitemporal research the sugarcane variety SP80-1842, studying its spectral behavior using field spectroscopy relationship parameters such as leaf area index (LAI), number of stalks per meter (NPM), (TSS) total biomass (BMT). A commercial Araras/SP/Brazil was monitored for two seasons. Radiometric data characterization were gathered 9 campaigns....
O objetivo deste trabalho foi estimar e mapear as áreas com culturas de soja milho, no Paraná, uso imagens multitemporais EVI/Modis. Foram avaliados os anos‑safra 2004/2005 a 2007/2008. Em razão da alta dinâmica temporal heterogeneidade datas semeadura das estado, foram utilizadas cenas que contemplavam fases pré‑plantio desenvolvimento inicial culturas, para gerar imagem mínimo EVI (IMIE), consideravam o pico vegetativo máximo (IMAE). Estas composição colorida RGB (R, IMAE; GB, IMIE),...
Integrated crop-livestock (ICL) systems combine livestock and crop production in the same area, increasing efficiency of land use machinery, while mitigating greenhouse gas emissions, reducing risks, plant diseases pests. ICL are primarily divided into annual (ICLa) multi-annual (ICLm) systems. Projects such as “Integrated crop-livestock-forest Network” “Livestock Rally” have estimated areas for Brazil on a state or regional basis. However, it remains necessary to create methods spatial...
Abstract In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries take into account sugarcane acreage and production dynamics. The availability of biophysical data along the growth season key an mapping such dynamics, especially tune agronomic models cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 observations collected from October 2014 until 2015 at four fields in São Paulo state...
A knowledge about the temporal development of agronomic variables in sugarcane is a very important aspect for crop yield prediction models using remote sensing, and further studies are still needed. This paper describes evolution biophysical parameters, such as total biomass, leaf area index, number plants per meter, productivity. During two seasons, commercial field Araras/SP, planted with variety SP80-1842, on 4th 5th cuts, was monitored eight different dates, data were obtained 2 m three...
Temporal analysis of crop development in commercial fields requires tools for large area monitoring, such as remote sensing. This paper describes the temporal evolution sugar cane biophysical parameters total biomass (BMT), yield (TSS), leaf index (LAI), and number plants per linear meter (NPM) correlated to Landsat data. During 2000 2001 cropping seasons, a sugarcane field Araras, São Paulo state, Brazil, planted with SP80-1842 variety 4th 5th cuts, was monitored using nine images. Spectral...
O trabalho teve o objetivo de avaliar modelos lineares regressão entre resposta espectral e produtividade em soja, na escala regional. Para isso, foram monitorados 36 municípios do oeste Paraná, utilizando cinco imagens satélite Landsat 5/TM da safra 2004/2005. Foram realizados os procedimentos transformação radiométrica correção atmosférica nas imagens, determinando valores físicos das refletâncias aparente superfície. Posteriormente, calculados índices vegetação NDVI GVI, quais, por meio...
Sugarcane, as one of the most mainstay crop in Brazil, plays an essential role ethanol production. To monitor sugarcane growth and predict sucrose content, remote sensing technology while accurate timely information is significant, particularly for large scale farming. We focused on issues content estimation using time-series satellite image. Firstly, we calculated spectral features vegetation indices to make them be correspondence accumulation biological mechanism. Secondly, improved...
This study investigated the effects of sugarcane-planting row directions in HH- and VV-polarized, ALOS/PALSAR imageries. Twenty sugarcane fields from São Paulo State, Brazil, were classified into rows parallel perpendicular to range direction satellite. Backscattering coefficients (σ°) 10 images analyzed. For HH polarization, σ° values with higher than those (∼1.2 dB). HV there was no statistically significant difference. Therefore, HV-polarized PALSAR are preferable for producing maps...
The search for low subjectivity area estimates has increased the use of remote sensing agricultural monitoring and crop yield prediction, leading to more flexibility in data acquisition lower costs comparing traditional methods such as census surveys. Low spatial resolution satellite images with higher frequency image have shown be adequate cropland mapping large areas. main goal this study was map Summer crops State Paraná, Brazil, using 10-day composition NDVI SPOT Vegetation 2005/2006,...
O objetivo deste trabalho foi estudar as mudanças no comportamento espectral da cultura soja, por meio dos perfis espectrais temporais índices de vegetação NDVI e GVI, expressos em diferentes valores físicos: fator reflectância bidirecional (FRB) aparente, superfície normalizado derivados imagens Landsat 5/TM. Foi monitorada área soja localizada próxima ao município Cascavel - PR, utilizando cinco safra 2004/2005, sendo realizados nessas os procedimentos transformação radiométrica, correção...
O objetivo deste trabalho foi estimar a área plantada com soja por meio da normalização matriz de erros gerada partir classificação supervisionada imagens TM/Landsat‑5. Foram avaliados oito municípios no Estado do Paraná, dados referentes à safra 2003/2004. As classificações foram realizadas dos métodos paralelepípedo e máxima verossimilhança, dando origem "máscara soja". Os valores índice Kappa ficaram acima 0,6. estimativas soja, corrigidas erros, apresentaram alta correlação as oficiais...