Results 21 to 30 of about 1,087,522 (356)

A NEW DRAINAGE BASIN DELINEATION FOR THE SOUTHERN PATAGONIAN ICE FIELD BASED ON TERRASAR-X VELOCITIES AND TANDEM-X ELEVATIONS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
The drainage basins or catchments for the Patagonian Ice Field are part of glacier inventories like the Randolph Glacier Inventory (RGI) or the Global Land Ice Measurements from Space (GLIMS).
L. Krieger, E. Johnson, D. Floricioiu
doaj   +1 more source

FULL-PHYSICS INVERSE LEARNING MACHINE FOR SATELLITE REMOTE SENSING OF OZONE PROFILE SHAPES AND TROPOSPHERIC COLUMNS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Characterizing vertical distributions of ozone from nadir-viewing satellite measurements is known to be challenging, particularly the ozone information in the troposphere. A novel retrieval algorithm called Full-Physics Inverse Learning Machine (FP-ILM),
J. Xu   +5 more
doaj   +1 more source

ROOF3D: A REAL AND SYNTHETIC DATA COLLECTION FOR INDIVIDUAL BUILDING ROOF PLANE AND BUILDING SECTIONS DETECTION [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Deep learning is a powerful tool to extract both individual building and roof plane polygons. But deep learning requires a large amount of labeled data.
P. Schuegraf   +3 more
doaj   +1 more source

ROAD CONDITION ASSESSMENT FROM AERIAL IMAGERY USING DEEP LEARNING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Terrestrial sensors are commonly used to inspect and document the condition of roads at regular intervals and according to defined rules. For example in Germany, extensive data and information is obtained, which is stored in the Federal Road Information ...
N. Merkle   +3 more
doaj   +1 more source

Large-Scale Mapping of Urban Parking from Aerial Images: A Case Study in Berlin, Germany [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Existing nationwide spatial datasets for Germany’s traffic infrastructure, particularly parking areas, are fragmented and incomplete, hindering effective traffic management and urban planning amidst growing demands for mobility transition and ...
F. Rauch   +5 more
doaj   +1 more source

Determination of Flood Subsidy (2023/2024) Based on SAR Images for Agricultural Land in Lower Saxony, Germany [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Following the severe flood event over the 2023/2024 New Year period, the Lower Saxony Ministry of Food, Agriculture, and Consumer Protection initiated a flood subsidy program for agricultural businesses.
C.-H. Yang   +3 more
doaj   +1 more source

Application of Remote Sensing Technology in Forest Resources Investigation

open access: yesRemote Sensing, 2020
The continuous development of remote sensing technology further provides an effective guarantee for the development of forest resources management, and the scientific application of remote sensing technology can continuously improve the level of forest ...
G. Cao
semanticscholar   +1 more source

GROUND MOVEMENT ANALYSIS IN POST-MINING CITY USING MTINSAR WITH HELP OF EUROPEAN GROUND MOTION SERVICE [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Ground movement is a critical concern for urban safety, and understanding its causes and consequences is essential. Mining of hard coal in the Ruhr area of Germany has caused long-term subsidence, leading to building damage and sinkholes in affected ...
C. H. Yang, C. Stemmler, A. Müterthies
doaj   +1 more source

REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Abstract. The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures.
D(')Aranno, P.   +3 more
openaire   +4 more sources

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

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