Statistical features for land use and land cover classification in Google Earth Engine
WR Becker, TB Ló, JA Johann, E Mercante - Remote Sensing Applications …, 2021 - Elsevier
The possibility of identifying and quantifying agricultural areas objectively and quickly is a
relevant aspect in the Brazilian agricultural context, given the territorial extent of the country …
relevant aspect in the Brazilian agricultural context, given the territorial extent of the country …
[HTML][HTML] DeepForest: Novel deep learning models for land use and land cover classification using multi-temporal and-modal sentinel data of the amazon basin
Land use and land cover (LULC) map** is a powerful tool for monitoring large areas. For
the Amazon rainforest, automated map** is of critical importance, as land cover is …
the Amazon rainforest, automated map** is of critical importance, as land cover is …
Global crop calendars of maize and wheat in the framework of the WorldCereal project
Crop calendars provide valuable information on the timing of important stages of crop
development such as the planting or Start of Season (SOS) and harvesting dates or End of …
development such as the planting or Start of Season (SOS) and harvesting dates or End of …
[HTML][HTML] Estimating crop sowing and harvesting dates using satellite vegetation index: A comparative analysis
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 …
sensing data have been developed and used to create different algorithms. Although many …
Map** 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 …
information on areas sown with the main crops is essential for planning logistics and public …
[HTML][HTML] A Method for Estimating Soybean Sowing, Beginning Seed, and Harvesting Dates in Brazil Using NDVI-MODIS Data
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 …
and over half of its agricultural exports. Therefore, reliable information about its development …
Harvest date forecast for soybeans from maximum vegetative development using satellite images
ABSTRACT The knowledge of Sowing Dates (SD), Maximum Vegetative Development
Dates (MVDD), and Harvest Dates (HD) of crops is important for estimating and forecasting …
Dates (MVDD), and Harvest Dates (HD) of crops is important for estimating and forecasting …
Extraction of crop information through the spatiotemporal fusion of OLI and MODIS images
Spatiotemporal data fusion algorithms have been developed to fuse satellite imagery from
sensors with different spatial and temporal resolutions and generate predicted imagery. In …
sensors with different spatial and temporal resolutions and generate predicted imagery. In …
Agroclimatic and spectral regionalization for soybean in different agricultural settings in the state of Paraná, Brazil
PP Gasparin, EM da Silva, WR Becker… - The Journal of …, 2024 - cambridge.org
Information related to the climate, sowing time, harvest, and crop development is essential
for defining appropriate strategies for agricultural activities, which helps both producers and …
for defining appropriate strategies for agricultural activities, which helps both producers and …
Global wheat normalization. A robust approach based on Growing Degree Days accumulation
JM Cintas Rodríguez - 2024 - roderic.uv.es
Global agriculture is mainly driven by climate. Hence, under the different climate change
scenarios, it is facing several challenges such as a greater frequency of extreme events (eg …
scenarios, it is facing several challenges such as a greater frequency of extreme events (eg …