A5016653410- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Smart Agriculture and AI
- Geography and Environmental Studies
- Remote Sensing and Land Use
- Food Supply Chain Traceability
- Effects of Environmental Stressors on Livestock
- Remote-Sensing Image Classification
- Leaf Properties and Growth Measurement
- Agriculture Sustainability and Environmental Impact
- Geochemistry and Geologic Mapping
- Spectroscopy and Chemometric Analyses
- Rangeland Management and Livestock Ecology
Universidade Estadual de Campinas (UNICAMP)
2019-2024
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...
Integrated crop–livestock systems (ICLS) are among the main viable strategies for sustainable agricultural production. Mapping these is crucial monitoring land use changes in Brazil, playing a significant role promoting Due to highly dynamic nature of ICLS management, mapping them challenging task. The objective this research was develop method using deep learning algorithms applied on Satellite Image Time Series (SITS) data cubes, which consist Sentinel-2 (S2) and PlanetScope (PS) satellite...
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...
Cotton is the most important fibre culture in world. In Brazil, cotton cultivation concentrated Cerrado biome, Brazilian savanna, and one of commodities country. As an annual crop, updating frequency spatial distribution data fields extremely for crop monitoring systems. order to provide fast accurate information monitoring, time series remote- sensing has been used development several applications agriculture, since high temporal resolution some orbital sensor allows targets with...
Abstract. Land use and land cover (LULC) classification has long been an essential topic in Earth Observation research plays a key role the sustainable development of agriculture. This study evaluated accuracy LULC based on initial clustering step heterogeneous agricultural landscape using PlanetScope imagery while checking for variability among their Normalized Difference Vegetation Index (NDVI) temporal signatures. We adopt object-based image analysis to generate image-objects then extract...
Abstract. The escalating presence of plastics in agriculture has raised concerns regarding Agricultural Plastic Waste (APW). Hitherto, a lack comprehensive plasticulture data impedes effective waste management strategies, potentially resulting plastic pollution and contributing to microplastic formation. APW locations quantities are pivotal for territorial planning the formulation public policies on land use. Remote detection agri-plastics garnered increased consideration, particularly...
MODIS time series carries valuable long-term data essential to support several studies such as biogeochemical modelling. However, there is a lack of validation applying at fine-scale monitor pasture management practices. In this study, we assessed the potential sensor in monitoring four intensively managed mixed-pastures fields located São Paulo State, Brazil. The spectral response was compared with Sentinel-2, and ability two sensors predicting aboveground biomass (AGB) canopy height (CH)...
Mapping highly dynamic cropping systems using satellite image time series is still challenging even when robust approaches are used. We assessed the potential of high spatial and temporal resolution PlanetScope deep neural networks (Convolutional Neural Networks (CNN) in one dimension - Conv1D, Long Short-Term Memory (LSTM), Multi-Layer Perceptron (MLP)) for mapping integrated crop-livestock (ICLS) different land covers western region São Paulo State, Brazil. used 10-day 15-day composite EVI...
Abstract. With the recent evolution in sensor's spatial resolution, such as MultiSpectral Imager (MSI) of Sentinel-2 mission, need to use segmentation techniques satellite images has increased. Although advantages image delineate agricultural fields are already known, literature shows that it is rarely used consider temporal changes highly managed regions with intensification activities. Therefore, this work aimed evaluate a multitemporal method based on coefficient variation spectral bands...
Abstract. Pasture biomass information is essential to monitor forage resources in grazed areas, as well support grazing management decisions. The increasing temporal and spatial resolutions offered by the new generation of orbital platforms, such Planet CubeSat satellites, have improved capability monitoring pasture using remotely-sensed data. In a preliminary study, we investigated potential spectral variables derived from PlanetScope imagery predict an area Integrated Crop-Livestock System...
Pasture biomass information is essential to monitor forage resources in grazed areas, as well support grazing management decisions. The increasing temporal and spatial resolutions offered by the new generation of orbital platforms, such Planet CubeSat satellites, have improved capability monitoring pasture using remotely-sensed data. In a preliminary study, we investigated potential spectral variables derived from PlanetScope imagery predict an area Integrated Crop-Livestock System (ICLS)...
Abstract. Various approaches were developed considering the need to increase agricultural productivity in cultivated areas without more deforestation, such as Integrated Crop livestock systems (ICLS). The ICLS could be composed of annual crops followed by pastureland with presence cattle. Due high temporal dynamic rotation between over season, monitoring these is a big challenge. Also, organizations worldwide highlight for early-season maps this kind work. In context, study evaluated...