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USING LANDSAT 8 IMAGE TIME SERIES FOR CROP MAPPING IN A REGION OF CERRADO,BRAZIL
Crop mapping Landsat Time series Random Forest algorithm
2016/12/1
The objective of this research is to classify agricultural land use in a region of the Cerrado (Brazilian Savanna) biome using a time series of Enhanced Vegetation Index (EVI) from Landsat 8 OLI. Phen...
CLOUD REMOVAL FROM SENTINEL-2 IMAGE TIME SERIES THROUGH SPARSE RECONSTRUCTION FROM RANDOM SAMPLES
Sentinel-2 Clouds Image Time Series Image processing Pre-processing
2016/7/27
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose,...
AUTOMATIC DETECTION OF CLOUDS AND SHADOWS USING HIGH RESOLUTION SATELLITE IMAGE TIME SERIES
Clouds Shadows Landsat-8 Pléiades-HR Time Series Image Sequences
2016/7/27
Detecting clouds and their shadows is one of the primaries steps to perform when processing satellite images because they may alter the quality of some products such as large-area orthomosaics. The ma...
Multi-temporal Block Adjustment for Aerial Image Time Series: the Belvedere Glacier Case Study
Aerial Triangulation Change Detection Glacier Dynamics accuracy
2015/12/1
While considering monitoring actions aimed at natural hazards management, an historical research about the investigated phenomenon is mandatory, in order to acquire those data necessary to understand ...
IMAGE TIME SERIES FOR NEAR REAL TIME AIRBORNE MONITORING OF DISASTER SITUATIONS AND TRAFFIC APPLICATIONS
Aerial cameras image series near real time processing traffic parameter extraction direct georeferencing emergency response middleware
2014/6/12
Near real time monitoring of natural disasters, mass events, and large traffic disasters with airborne optical sensors is a focus of research and development at the German Aerospace Center (DLR). For ...