Individual Consumption in Collective Households: Identification Using Repeated Observations with an Application to PROGRESA

2021 ◽  
Author(s):  
Senay Sokullu ◽  
Christine Valente
Keyword(s):  
Repeated Observations ◽  
Individual Consumption

Sharing the pie: An analysis of undernutrition and individual consumption in Bangladesh

2021 ◽  
Vol 200 ◽  
pp. 104460
Author(s):  
Caitlin Brown ◽  
Rossella Calvi ◽  
Jacob Penglase
Keyword(s):  
Individual Consumption

scholarly journals Detection of small hydrological variations in gravity by repeated observations with relative gravimeters

2007 ◽  
Vol 82 (9) ◽  
pp. 543-553 ◽  
Author(s):  
M. Naujoks ◽  
A. Weise ◽  
C. Kroner ◽  
T. Jahr
Keyword(s):  
Repeated Observations

scholarly journals Repeated observations of cetaceans and carcharhiniformes associations in the Red Sea

2015 ◽  
Vol 46 (1) ◽  
pp. 25-26 ◽  
Author(s):  
Till Röthig ◽  
Julia L. Y. Spaet ◽  
Alexander Kattan ◽  
Isabelle K. Schulz ◽  
May Roberts ◽  
...  
Keyword(s):  
Red Sea ◽  
Repeated Observations

scholarly journals Advertising, Individual Consumption Levels, and the Natural Environment, 1900–2000

2007 ◽  
Vol 77 (4) ◽  
pp. 522-542 ◽  
Author(s):  
Robert J. Brulle ◽  
Lindsay E. Young
Keyword(s):  
Natural Environment ◽  
Individual Consumption

Collective-Consumption Services of Individual-Consumption Goods: Comment

1967 ◽  
Vol 81 (2) ◽  
pp. 351 ◽  
Author(s):  
Millard F. Long
Keyword(s):  
Individual Consumption ◽  
Consumption Goods

Trends in individual consumption of dietary fat in the United States, 1920–1984

1990 ◽  
Vol 52 (3) ◽  
pp. 457-469 ◽  
Author(s):  
A M Stephen ◽  
N J Wald
Keyword(s):  
United States ◽  
Dietary Fat ◽  
The United States ◽  
Individual Consumption

scholarly journals Experimental Study on 3D Measurement Accuracy Detection of Low Altitude UAV for Repeated Observation of an Invariant Surface

Processes ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 4
Author(s):  
Sha Gao ◽  
Shu Gan ◽  
Xiping Yuan ◽  
Rui Bi ◽  
Raobo Li ◽  
...  
Keyword(s):  
Experimental Study ◽  
Unmanned Aerial Vehicle ◽  
Structure From Motion ◽  
Measurement Accuracy ◽  
Test Plot ◽  
3D Measurement ◽  
Difference Model ◽  
Repeated Observations ◽  
Aerial Vehicle ◽  
Low Altitude

Low-altitude unmanned aerial vehicle (UAV) photogrammetry combined with structure-from-motion (SFM) algorithms is the latest technological approach to imaging 3D stereo constructions. At present, derivative products have been widely used in landslide monitoring, landscape evolution, glacier movement, volume measurement, and landscape change detection. However, there is still a lack of research into the accuracy of 3D data positioning based on the structure-from-motion of unmanned aerial vehicle (UAV-SFM) technology, itself, which can affect the measurable effectiveness of the results in further applications of this technological approach. In this paper, validation work was carried out for the DJI Phantom 4 RTK UAV, for earth observation data related to 3D positioning accuracy. First, a test plot with a relatively stable surface was selected for repeated flight imaging observations. Specifically, three repeated flights were performed on the test plot to obtain three sorties of images; the structure from motion and multi-view stereo (SFM-MVS) key technology was used to process and construct a 3D scene model, and based on this model the digital surface model (DSM) and digital orthophoto map (DOM) data of the same plot with repeated observations were obtained. In order to check the level of 3D measurement accuracy of the UAV technology itself, a window selection-based method was used to sample the point cloud set data from the three-sortie repeat observation 3D model. The DSM and DOM data obtained from three repeated flights over the surface invariant test plots were used to calculate the repeat observation 3D point errors, taking into account the general methodology of redundant observation error analysis for topographic surveys. At the same time, to further analyze the limits of the UAV measurement technique, possible under equivalent observation conditions with the same processing environment, a difference model (DOD) was constructed for the DSM data from three sorties, to deepen the overall characterization of the differences between the DSMs obtained from repeated observations. The results of the experimental study concluded that both the analysis of the 3D point set measurements based on window sampling and the accuracy evaluation using the difference model were generally able to achieve a centimeter level of planimetric accuracy and vertical accuracy. In addition, the accuracy of the surface-stabilized hardened ground was better, overall, than the accuracy of the non-hardened ground. The results of this paper not only probe the measurement limits of this type of UAV, but also provide a quantitative reference for the accurate control and setting of an acquisition scheme of the UAV-based SfM-MVS method for geomorphological data acquisition and 3D reconstruction.

scholarly journals ANTHROPOGENIC INFLUENCE OF THE KOMSOMOLSK OIL AND GAS CONDENSATE FIELD ON MODERN DEFORMATION PROCESSES

2018 ◽  
pp. 11-20 ◽  
Author(s):  
Yu. V. Vasilev ◽  
D. A. Misyurev ◽  
A. V. Filatov
Keyword(s):  
Oil And Gas ◽  
Gas Production ◽  
Gas Condensate ◽  
Industrial Safety ◽  
Subsidence Trough ◽  
Oil And Gas Production ◽  
Field Development ◽  
Repeated Observations ◽  
Deformation Processes ◽  
The Relationship

The authors created a geodynamical polygon on the Komsomolsk oil and gas condensate field to ensure the industrial safety of oil and gas production facilities. The aim of its creation is mul-tiple repeated observations of recent deformation processes. Analysis and interpretation of the results of geodynamical monitoring which includes class II leveling, satellite observations, radar interferometry, exploitation parameters of field development provided an opportunity to identify that the conditions for the formation of recent deformations of the earth’s surface is an anthropogenic factor. The authors identified the relationship between the formation of subsidence trough of the earth’s surface in the eastern part of the field with the dynamics of accumulated gas sampling and the fall of reservoir pressures along the main reservoir PK1 (Cenomanian stage).

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