A5015434851- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Fire effects on ecosystems
- Remote Sensing and LiDAR Applications
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Remote Sensing and Land Use
- Rangeland and Wildlife Management
- Atmospheric and Environmental Gas Dynamics
- Leaf Properties and Growth Measurement
- Water-Energy-Food Nexus Studies
- Hydrology and Drought Analysis
- Landslides and related hazards
- Ecology and Vegetation Dynamics Studies
- Urban Heat Island Mitigation
- Historical and Environmental Studies
- Medicinal plant effects and applications
- Soil Carbon and Nitrogen Dynamics
- Sustainable Agricultural Systems Analysis
- Solar Radiation and Photovoltaics
- Computational Physics and Python Applications
- Agroforestry and silvopastoral systems
- Rangeland Management and Livestock Ecology
- Species Distribution and Climate Change
University of Buenos Aires
2004-2024
Agricultural Plant Physiology and Ecology Research Institute
2023-2024
Consejo Nacional de Investigaciones Científicas y Técnicas
2009-2024
National Agricultural Technology Institute
2005-2021
Instituto Nacional de Tecnologia
2012-2021
Institute of Astronomy and Space Physics
2020
Instituto Nacional del Agua
2007-2019
National Institute of Industrial Technology
2011-2018
Centro Científico Tecnológico - San Juan
2011-2017
Université d'Avignon et des Pays de Vaucluse
2004
Abstract A digital land cover map of South America has been produced using remotely sensed satellite data acquired between 1995 and the year 2000. The mapping scale is defined by 1 km spatial resolution grid‐cell. In order to realize product, different sources were used, each source providing either a particular parameter characteristic required legend, or class. legend designed both fit requirements for regional climate modelling studies on change. also compatible with wider, global,...
The Joint Research Centre of the European Commission (JRC), in partnership with 30 institutions, has produced a global land cover map for year 2000, GLC 2000 map. validation GLC2000 product now been completed. accuracy assessment relied on two methods: confidence-building method (quality control based comparison ancillary data) and quantitative stratified random sampling reference data. sample site stratification used an underlying grid Landsat data was proportion priority classes landscape...
The objective of this study was to explore the use multi-temporal Landsat TM data from same growing season for classification land cover types in south-western portion Argentine Pampas. Investigations were made on how many dates are necessary obtain an accurate and, given a fixed number dates, which is particular combination that yield best results. Additionally, effect using NDVI instead all bands available accuracy and moving window filter over classified image tested. Scenes acquired...
In countries like Argentina, whose economy depends heavily on crop production, the estimation of harvests is an elementary requirement. Besides providing objectivity, use remote sensing allows estimating yield in advance. Since time maximum leaf area wheat corresponds with critical period crop, a good relationship expected between Normalized Difference Vegetation Index (NDVI) and yield. The present study was carried out North Buenos Aires province, Argentina. Based type soil, can be divided...
Abstract Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, 2.0 incorporates 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within provides...
This paper presents results of the AQL2004 project, which has been develope within GOFC-GOLD Latin American network remote sensing and forest fires (RedLatif). The project intended to obtain monthly burned-land maps entire region, from Mexico Patagonia, using MODIS (moderate-resolution imaging spectroradiometer) reflectance data. organized in three different phases: acquisition preprocessing satellite data; discrimination burned pixels; validation results. In first phase, input data...
Recent estimates of additional land available for bioenergy production range from 320 to 1411 million ha. These were generated four scenarios regarding the types suitable using coarse-resolution inputs soil productivity, slope, climate, and cover. In this paper, these maps availability assessed high-resolution satellite imagery. Samples selected crowdsourcing Google Earth images was used determine type cover degree human impact. Based on sample, a set rules formulated downward adjust...
Abstract Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the States America. The contains 161,717 individual records based on situ destructive samples used to measure LFMC, representing amount water plant leaves per unit dry matter. primary goal calibrate validate remote sensing algorithms predict LFMC....
Spectral indices from remotely sensed data, such as the Normalized Difference Vegetation Index (NDVI), are often used to estimate biophysical characteristics of vegetation. The objective this study is evaluate effect senescent leaves on estimation fraction photosynthetically active radiation absorbed by green elements canopy (fAPAR g ) NDVI measurements. An experiment was conducted under controlled conditions over grass canopies. Both and fAPAR were measured when cover changed. results...
Biomass of both wild herbivores and livestock in rangelands is correlated with rainfall at a regional scale. Thus, may be good predictor actual stocking rates. However, data are scarce many regions, their spatial resolution usually much coarser than needed to set or evaluate wildlife We here show relationship between biomass an annual vegetation index (normalized-difference index-integrated value, NDVI-I) calculated from remotely sensed on spectral properties Argentina. The as strong even...
ABSTRACT Aims Quantification of the effects and interactions natural anthropogenic factors, including climate, canopy structure, land use management conditions, on vegetation burning. The study these relationships is fundamental to predict regional fire patterns develop sound regulation policies for biomass burning at national global levels. Location Southern South America, Argentina, Brazil, Paraguay, Uruguay, Bolivia Chile. Methods Based National Oceanic Atmosphere Administration–Advance...
Abstract. Above‐ground Net Primary Production (ANPP) is the main determinant of forage availability and hence stocking density. A tool to track seasonal interannual changes in ANPP at paddock level will be very important for livestock management. We studied relationship between field data Normalized Difference Vegetation Index (NDVI) rangelands Flooding Pampa Argentina using spectral provided by sensors on board two satellites: NOAA/AVHRR Landsat TM. The NDVI was linear both derived from...
We used multiple regression analysis to relate evapotranspiration (ET), computed from a water balance technique, both thermal infrared and normalized difference vegetation index data obtained the Advanced Very High Resolution Radiometer (AVHRR) sensor on board National Oceanic Atmospheric Administration (NOAA) satellite. This approach, based only remotely sensed data, provided reliable estimate of ET over Pampas, main agricultural region Argentina. The relationship between spectral was more...
Pastures constitute an important terrestrial ecosystem. In France, pastures occupy 21% of the total area. A big effort is being made to develop a real-time systematic approach estimate biomass production at national level, focusing on spatial and seasonal variability in relation drought. The absence indirect low-cost methods that could be applied large areas contributes this situation. Advances remote sensing crop models offer new methodological operative possibilities solve problem. paper,...
Abstract More than half of the dry woodlands (forests and shrublands) world are in South America, mainly Brazil Argentina, where last years intense land use changes have occurred. This study evaluated how transition from woody‐dominated to grass‐dominated system affected key ecohydrological variables biophysical processes over 20 000 ha forest central Argentina. We used a simplified surface energy balance model together with moderate‐resolution imaging spectroradiometer–normalized difference...
Abstract The fraction of intercepted photosynthetic active radiation (fPAR) is a key variable used by the Monteith model to estimate net primary productivity (NPP). This can be assessed vegetation indices (VIs) derived from spectral remote sensing data but several factors usually affect their relationship. objectives this work were analyse fPAR dynamics and describe relationships between (normalized difference index (NDVI), optimized soil adjusted (OSAVI), Green NDVI (GNDVI), visible...