When reprocessing time series of data from different satellite sensors to produce a consistent time series, there are two options: 1) applying the most advanced algorithms to the older, lower quality data or 2) degrading the most recent, higher quality data to match the standards of the old data set. For example, most recent data have generally been degraded spatially to simulate the broader point spread function of older sensors and therefore improve the consistency of the time series [6]. VII. LAND-COVER CHANGE APPLICATIONS Much of the science related to land-cover change has been previously driven by data availability. With the increasing number of sensors, sci-ence is now driving the need for improved data sets. The increasing availabil...
Thanks to the freely availability of several Satellite Image Time Series (SITS) covering the Earth, ...
Land cover maps are essential for characterizing the biophysical properties of the Earth’s land area...
The face of our planet is changing at an unprecedented rate. Forest ecosystems diminish at alarming ...
We discuss the application of wide-field-of-view satellite data to land change science from a user v...
The use of time series analysis with moderate resolution satellite imagery is increasingly common, p...
The use of time series analysis with moderate resolution satellite imagery is increasingly common, p...
Global population growth, changing lifestyles and related consumption patterns create an increasing ...
This study focuses on the problem of "time " affecting spatial data. The most substantial ...
Despite the existence of long term remotely sensed datasets, change detection methods are limited an...
Access to temporally dense time series such as data from the Landsat and Sentinel-2 missions has lea...
The Landsat program has the longest collection of moderate-resolution satellite imagery, and the dat...
Access to temporally dense time series such as data from the Landsat and Sentinel-2 missions has lea...
An automated land cover change detection method is pro-posed that uses coarse resolution hyper-tempo...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Autho...
Recently, the United States Geological Survey (USGS) has released a new dataset, called Landsat Anal...
Thanks to the freely availability of several Satellite Image Time Series (SITS) covering the Earth, ...
Land cover maps are essential for characterizing the biophysical properties of the Earth’s land area...
The face of our planet is changing at an unprecedented rate. Forest ecosystems diminish at alarming ...
We discuss the application of wide-field-of-view satellite data to land change science from a user v...
The use of time series analysis with moderate resolution satellite imagery is increasingly common, p...
The use of time series analysis with moderate resolution satellite imagery is increasingly common, p...
Global population growth, changing lifestyles and related consumption patterns create an increasing ...
This study focuses on the problem of "time " affecting spatial data. The most substantial ...
Despite the existence of long term remotely sensed datasets, change detection methods are limited an...
Access to temporally dense time series such as data from the Landsat and Sentinel-2 missions has lea...
The Landsat program has the longest collection of moderate-resolution satellite imagery, and the dat...
Access to temporally dense time series such as data from the Landsat and Sentinel-2 missions has lea...
An automated land cover change detection method is pro-posed that uses coarse resolution hyper-tempo...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Autho...
Recently, the United States Geological Survey (USGS) has released a new dataset, called Landsat Anal...
Thanks to the freely availability of several Satellite Image Time Series (SITS) covering the Earth, ...
Land cover maps are essential for characterizing the biophysical properties of the Earth’s land area...
The face of our planet is changing at an unprecedented rate. Forest ecosystems diminish at alarming ...