Satellite image time series analysis for big earth observation data
The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …
challenges. Designers need to balance between conflicting factors. Solutions that are …
Big earth observation time series analysis for monitoring Brazilian agriculture
This paper presents innovative methods for using satellite image time series to produce land
use and land cover classification over large areas in Brazil from 2001 to 2016. We used …
use and land cover classification over large areas in Brazil from 2001 to 2016. We used …
Temporal convolutional neural network for the classification of satellite image time series
Latest remote sensing sensors are capable of acquiring high spatial and spectral Satellite
Image Time Series (SITS) of the world. These image series are a key component of …
Image Time Series (SITS) of the world. These image series are a key component of …
[图书][B] Remote sensing time series revealing land surface dynamics: Status quo and the pathway ahead
The face of our planet is changing at an unprecedented rate. Forest ecosystems diminish at
alarming speed, urban and agricultural areas expand into the surrounding natural space …
alarming speed, urban and agricultural areas expand into the surrounding natural space …
[HTML][HTML] Quality control and class noise reduction of satellite image time series
The extensive amount of Earth observation satellite images available brings opportunities
and challenges for land mapping in global and regional scales. These large datasets have …
and challenges for land mapping in global and regional scales. These large datasets have …
Considering spatiotemporal processes in big data analysis: Insights from remote sensing of land cover and land use
Data are increasingly spatio‐temporal—they are collected some‐where and at some‐time.
The role of proximity in spatial process is well understood, but its value is much more …
The role of proximity in spatial process is well understood, but its value is much more …
On time series classification with dictionary-based classifiers
A family of algorithms for time series classification (TSC) involve running a sliding window
across each series, discretising the window to form a word, forming a histogram of word …
across each series, discretising the window to form a word, forming a histogram of word …
Spatio-temporal reasoning for the classification of satellite image time series
Satellite image time series (SITS) analysis is an important domain with various applications
in land study. In the coming years, both high temporal and high spatial resolution SITS will …
in land study. In the coming years, both high temporal and high spatial resolution SITS will …
Earth observation data cubes for Brazil: Requirements, methodology and products
Recently, remote sensing image time series analysis has being widely used to investigate
the dynamics of environments over time. Many studies have combined image time series …
the dynamics of environments over time. Many studies have combined image time series …
[HTML][HTML] Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series
H do Nascimento Bendini, LMG Fonseca… - International Journal of …, 2019 - Elsevier
The paradox between environmental conservation and economic development is a
challenge for Brazil, where there is a complex and dynamic agricultural scenario. This …
challenge for Brazil, where there is a complex and dynamic agricultural scenario. This …