Mapping summer soybean and corn with remote sensing on Google Earth Engine cloud computing in Parana state–Brazil

A Paludo, WR Becker, J Richetti… - … Journal of Digital …, 2020 - Taylor & Francis
Brazilian farming influences directly the worldwide economy. Thus, fast and reliable
information on areas sown with the main crops is essential for planning logistics and public …

Using phenology-based enhanced vegetation index and machine learning for soybean yield estimation in Paraná State, Brazil

J Richetti, J Judge, KJ Boote, JA Johann… - Journal of Applied …, 2018 - spiedigitallibrary.org
Accurate and timely regional estimates of agricultural production are key for decision
makers. This study aims to understand how different machine learning techniques impact …

[HTML][HTML] Crop data retrieval using earth observation data to support agricultural water management

J Rolim, A Navarro, P Vilar, C Saraiva… - Engenharia …, 2019 - SciELO Brasil
Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations,
which can be acquired during the crop growth season for a given region using earth …

[HTML][HTML] A Method for Estimating Soybean Sowing, Beginning Seed, and Harvesting Dates in Brazil Using NDVI-MODIS Data

CTC Santana, IDA Sanches, MM Caldas, M Adami - Remote Sensing, 2024 - mdpi.com
Brazil, as a global player in soybean production, contributes about 35% to the world's supply
and over half of its agricultural exports. Therefore, reliable information about its development …

Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images

C Cechim, JA Johann, JFG Antunes - Revista Brasileira de …, 2017 - SciELO Brasil
The knowledge on reliable estimates of areas under sugarcane cultivation is essential for
the Brazilian agribusiness, since it helps in the development of public policies, in …

Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis

G Rodigheri, IDA Sanches, J Richetti, RY Tsukahara… - Remote Sensing, 2023 - mdpi.com
In the last decades, several methodologies for estimating crop phenology based on remote
sensing data have been developed and used to create different algorithms. Although many …

Extraction of crop information through the spatiotemporal fusion of OLI and MODIS images

LV Oldoni, E Mercante, JFG Antunes… - Geocarto …, 2022 - Taylor & Francis
Spatiotemporal data fusion algorithms have been developed to fuse satellite imagery from
sensors with different spatial and temporal resolutions and generate predicted imagery. In …

Use of terrestrial remote sensing to estimate soybeans and beans biophysical parameters

VHR Prudente, E Mercante, JA Johann… - Geocarto …, 2021 - Taylor & Francis
Vegetation Indices are important for agricultural monitoring and the assessment of
biophysical attributes of different crops. In this context, the objective of this study was to …

Harvest date forecast for soybeans from maximum vegetative development using satellite images

WR Becker, LCDA Silva, J Richetti, TB Ló… - International Journal of …, 2021 - Taylor & Francis
ABSTRACT The knowledge of Sowing Dates (SD), Maximum Vegetative Development
Dates (MVDD), and Harvest Dates (HD) of crops is important for estimating and forecasting …

[HTML][HTML] Data Mining Techniques for Separation of Summer Crop Based on Satellite Images1

WR Becker, JA Johann, J Richetti, LC Silva - Engenharia Agrícola, 2017 - SciELO Brasil
Due to the difficulty in discriminating soybean and corn in mappings obtained by the time
series of satellite images, this study aimed to apply the data mining techniques to separate …