Results 11 to 20 of about 680,299 (306)

Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data

open access: yesRemote Sensing, 2022
Nationwide and consistent information on agricultural land use forms an important basis for sustainable land management maintaining food security, (agro)biodiversity, and soil fertility, especially as German agriculture has shown high vulnerability to ...
Sarah Asam   +5 more
doaj   +1 more source

Earth Observation Based Monitoring of Forests in Germany: A Review

open access: yesRemote Sensing, 2020
Forests in Germany cover around 11.4 million hectares and, thus, a share of 32% of Germany’s surface area. Therefore, forests shape the character of the country’s cultural landscape. Germany’s forests fulfil a variety of functions for nature and society,
Stefanie Holzwarth   +9 more
doaj   +1 more source

AVHRR NDVI Compositing Method Comparison and Generation of Multi-Decadal Time Series—A TIMELINE Thematic Processor

open access: yesRemote Sensing, 2023
Remote sensing image composites are crucial for a wide range of remote sensing applications, such as multi-decadal time series analysis. The Advanced Very High Resolution Radiometer (AVHRR) instrument has provided daily data since the early 1980s at a ...
Sarah Asam   +5 more
doaj   +1 more source

Deep learning in remote sensing: a review [PDF]

open access: yes, 2017
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich   +6 more
core   +4 more sources

Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco

open access: yesRemote Sensing, 2022
The Paraguayan Chaco is one of the most rapidly deforested areas in Latin America, mainly due to cattle ranching. Continuously forested windbreaks between agricultural areas and forest patches within these areas are mandatory to minimise the impact that ...
Jennifer Kriese   +5 more
doaj   +1 more source

CLASSIFICATION ACCURACY INCREASE USING MULTISENSOR DATA FUSION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The practical use of very high resolution visible and near-infrared (VNIR) data is still growing (IKONOS, Quickbird, GeoEye-1, etc.) but for classification purposes the number of bands is limited in comparison to full spectral imaging.
A. Makarau, G. Palubinskas, P. Reinartz
doaj   +1 more source

Are public green spaces distributed fairly? A nationwide analysis based on remote sensing, OpenStreetMap and census data

open access: yesGeocarto International, 2023
Green space (GS) is a crucial resource in urban areas, but not spatially uniformly distributed. We compare the availability of GS on a national scale using green land cover (GLC) and public green space (PGS).
Matthias Weigand   +6 more
doaj   +1 more source

TanDEM-X Water Indication Mask: Generation and First Evaluation Results

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013
The German SAR interferometry mission TanDEM-X performed on two TerraSAR-X satellites flying in close formation will provide a global Digital Elevation Model (DEM). A by-product is so-called the Water Indication Mask (WAM).
Anna Wendleder   +5 more
doaj   +1 more source

Quantifying Slumness with Remote Sensing Data [PDF]

open access: yesSSRN Electronic Journal, 2013
The presence of slums in a city is an indicator of poverty and its proper delimitation is a matter of interest for researchers and policy makers. Socio-economic data from surveys and censuses are the primary source of information to identify and quantify slumness within a city or a town. One problem of using survey data for quantifying slumness is that
Duque, Juan C.   +3 more
openaire   +2 more sources

Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review

open access: yesRemote Sensing, 2023
One-third of Germany’s land surface area is covered by forest (around 11.4 million hectares), and thus, it characterizes the landscape. The forest is a habitat for a large number of animal and plant species, a source of raw materials, important for ...
Stefanie Holzwarth   +12 more
doaj   +1 more source

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