Search results for "Binary Object"

showing 4 items of 4 documents

Computation of the area in the discrete plane: Green’s theorem revisited

2017

International audience; The detection of the contour of a binary object is a common problem; however, the area of a region, and its moments, can be a significant parameter. In several metrology applications, the area of planar objects must be measured. The area is obtained by counting the pixels inside the contour or using a discrete version of Green's formula. Unfortunately, we obtain the area enclosed by the polygonal line passing through the centers of the pixels along the contour. We present a modified version of Green's theorem in the discrete plane, which allows for the computation of the exact area of a two-dimensional region in the class of polyominoes. Penalties are introduced and …

Binary Objectcontour detectionPolyominoComputationGeometry0102 computer and information sciences02 engineering and technology01 natural sciencesconnectednessPick's theoremsymbols.namesake0202 electrical engineering electronic engineering information engineeringPick's theoremElectrical and Electronic EngineeringGreen's theoremMathematicsDigital picturesPixelMathematical analysisImage segmentationAtomic and Molecular Physics and OpticsComputer Science Applications[SPI.TRON]Engineering Sciences [physics]/Electronics010201 computation theory & mathematics[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Binary datasymbols[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic020201 artificial intelligence & image processingpolyominoesGreen's theorem
researchProduct

Global Coastal Permeability database (GCPdb)

2023

The Global Coastal Permeability Database contains both the input and output data of the Global Coastal Permeability Model developed by Tschaikowski et al. (2023) and available at DOI: 10.5281/zenodo.7845568. The model is implemented in R and calculates the coastal permeability for each shoreline segment of the global shoreline vector created by Sayre et al. (2019) with a 30-meter resolution and covering a spatial extent of 180.0°W to 180.0°E longitude and 60.8°S to 83.7°N latitude. The coastline is separated into three sections (A: coastal aquifer section, B: shoreline section, C: shallow section), and permeability values and ranges are provided for each section. Permeability values were de…

Global coastal groundwater dynamics in a changing climate COASTGUARDBinary Objectsubmarine groundwater dischargeCoastal hydrogeologyBinary Object Media TypeBinary Object (File Size)Binary Object (Media Type)Coastal permeabilityGlobal hydrogeologysaltwater intrusionEarth System ResearchcoastlineGlobal coastal groundwater dynamics in a changing climate (COASTGUARD)permeabilityBinary Object File Size
researchProduct

KOSMOS 2017 Peru mesocosm study: overview data

2020

Eastern boundary upwelling systems (EBUS) are among the most productive marine ecosystems on Earth. The production of organic material is fueled by upwelling of nutrient-rich deep waters and high incident light at the sea surface. However, biotic and abiotic factors can mod- ify surface production and related biogeochemical processes. Determining these factors is important because EBUS are considered hotspots of climate change, and reliable predic- tions of their future functioning requires understanding of the mechanisms driving the biogeochemical cycles therein. In this field experiment, we used in situ mesocosms as tools to improve our mechanistic understanding of processes con- trolling…

KOSMOS_2017Binary ObjectMesocosm experimentClimate - Biogeochemistry Interactions in the Tropical Ocean (SFB754)Climate Biogeochemistry Interactions in the Tropical Ocean SFB754BiogeochemistryBinary Object Media TypeNatural SciencesBinary Object (File Size)Binary Object File SizeBiospheric SciencesGeosciencesBinary Object (Media Type)
researchProduct

Cloud top altitude retrieved from Lidar measurements during ACLOUD at 1 second resolution

2021

During the ACLOUD aircraft campaign (23.5.2017 - 26.6.2017) the AMALi Lidar was installed mostly nadir pointing. This dataset contains the cloud top altitude from those measurements (altitudes with a strong signal increase) as well as a cloud mask, derived from the optical depth of the column at 1 second resolution. The majority of the data was collected northwest of the Svalbard archipelago. More details on the campaign can be found in Wendisch 2018 and Ehrlich 2019 and here (https://home.uni-leipzig.de/~ehrlich/ACLOUD_wiki_doku). Please check the data documentation (https://download.pangaea.de/reference/108729/attachments/readme_documentation_AMALi_cloudtop.pdf) before using this dataset.

Longitude of eventAircraftPolar 5Binary ObjectAC3Latitude of eventSvalbardArcticArctic Amplification (AC3)Date/Time of eventAirborne Mobile Aerosol Lidarcloudairborne measurementsLidarEvent labelDate Time of eventairborneACLOUDBinary Object (File Size)mixed phase cloudsAMALiP5_206_ACLOUD_2017airborne lidarArctic Amplification AC3cloud top altitudeEarth System Researchmixed-phase cloudsBinary Object File Size
researchProduct