Expanding Display Size and Resolution for Viewing Geospatial Data: A User Study with Multiple-Monitor High-Resolution Displays

2008 ◽  
Vol 35 (3) ◽  
pp. 203-219 ◽  
Author(s):  
Candice R. Luebbering ◽  
Laurence W. Carstensen ◽  
James B. Campbell ◽  
Lawrence S. Grossman
Keyword(s):  
High Resolution ◽  
Display Size ◽  
User Study ◽  
Geospatial Data

scholarly journals The Analysis of Geospatial Information for Validating Some Numbers of Islands in Indonesia

2017 ◽  
Vol 49 (2) ◽  
pp. 204 ◽  
Author(s):  
Sukendra - Martha
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Satellite Images ◽  
Geospatial Data ◽  
The Other ◽  
Remote Sensing Images ◽  
Geospatial Information ◽  
Internal Affair ◽  
High Resolution Satellite Images ◽  
Data Source

This article discusses a comparison of various numbers of islands in Indonesia; and it addresses a valid method of accounting or enumerating numbers of islands in Indonesia. Methodology used is an analysis to compare the different number of islands from various sources.  First, some numbers of  Indonesian islands were derived from: (i) Centre for Survey and Mapping- Indonesian Arm Forces (Pussurta ABRI) recorded as 17,508 islands; (ii) Agency for Geospatial Information (BIG) previously known as National Coordinating Agency for Surveys and Mapping (Bakosurtanal) as national mapping authority reported with 17,506 islands (after loosing islands of  Sipadan and Ligitan); (iii) Ministry of Internal Affair published 17,504 islands. Many parties have referred the number of 17,504 islands even though it has not yet been supported by back-up documents; (iv) Hidrographic Office of Indonesian Navy has released with numbers of 17,499; (v) Other sources indicated different numbers of islands, and indeed will imply to people confusion. In the other hand, the number of 13,466 named islands has a strong document (Gazetteer). Second, enumerating the total number of islands in Indonesia can be proposed by three ways: (i) island census through toponimic survey, (ii) using map, and (iii) applying remote sensing images. Third, the procedures of searching valid result in number of islands is by remote sensing approach - high resolution satellite images. The result of this work implies the needs of one geospatial data source (including total numbers of islands) in the form of ‘One Map Policy’ that will impact in the improvement of  Indonesian geographic data administration. 

scholarly journals SYNERGY APPROACH FOR IMPLEMENTING THE POLICY ON HIGH RESOLUTION IMAGERY TO ACCELERATE BASIC AND THEMATIC GEOSPATIAL INFORMATION

2017 ◽  
Vol 11 (1) ◽  
pp. 55
Author(s):  
Sukendra Martha ◽  
Aris Poniman ◽  
. Hartono
Keyword(s):  
High Resolution ◽  
Satellite Data ◽  
Geospatial Data ◽  
Present Condition ◽  
National Program ◽  
Geospatial Information ◽  
National Budget ◽  
Governmental Agencies ◽  
Control Quality ◽  
High Resolution Imagery

Presidential Order no. 6/2012 mentioned explicitly to use ortho-rectifed image for the purposes of national program done by all Indonesian governmental agencies. Policy of uses, control quality, processing and distribution of high resolution of satellite data are regulated by this Order. There are some advantages of implementing this Order particularly in accelerating the national geospatial data and information, however, without synergy use of high resolution imagery (including integration, coordination and harmonization), in the present condition so far some obstacles have been discovered.  Without  synergic actions or approaches, the Order will not provide optimal impact as the main objectives to make more efficient in using the national budget. This article describes the needs of synergy approach to implement the Presidential Order no. 6/2012 concerning the uses, distribution of high remotely sensed imageries.

scholarly journals UAV Data Processing for Large Scale Topographical Mapping

2014 ◽  
Vol XL-5 ◽  
pp. 565-572 ◽  
Author(s):  
W. Tampubolon ◽  
W. Reinhardt
Keyword(s):  
High Resolution ◽  
Data Processing ◽  
Data Acquisition ◽  
Spatial Planning ◽  
Large Scale ◽  
Geospatial Data ◽  
Mapping Unit ◽  
Processing Scheme ◽  
Area Of Interest ◽  
Topographical Mapping

Large scale topographical mapping in the third world countries is really a prominent challenge in geospatial industries nowadays. On one side the demand is significantly increasing while on the other hand it is constrained by limited budgets available for mapping projects. Since the advent of Act Nr.4/yr.2011 about Geospatial Information in Indonesia, large scale topographical mapping has been on high priority for supporting the nationwide development e.g. detail spatial planning. Usually large scale topographical mapping relies on conventional aerial survey campaigns in order to provide high resolution 3D geospatial data sources. Widely growing on a leisure hobby, aero models in form of the so-called Unmanned Aerial Vehicle (UAV) bring up alternative semi photogrammetric aerial data acquisition possibilities suitable for relatively small Area of Interest (AOI) i.e. <5,000 hectares. For detail spatial planning purposes in Indonesia this area size can be used as a mapping unit since it usually concentrates on the basis of sub district area (kecamatan) level. In this paper different camera and processing software systems will be further analyzed for identifying the best optimum UAV data acquisition campaign components in combination with the data processing scheme. The selected AOI is covering the cultural heritage of Borobudur Temple as one of the Seven Wonders of the World. A detailed accuracy assessment will be concentrated within the object feature of the temple at the first place. Feature compilation involving planimetric objects (2D) and digital terrain models (3D) will be integrated in order to provide Digital Elevation Models (DEM) as the main interest of the topographic mapping activity. By doing this research, incorporating the optimum amount of GCPs in the UAV photo data processing will increase the accuracy along with its high resolution in 5 cm Ground Sampling Distance (GSD). Finally this result will be used as the benchmark for alternative geospatial data acquisition in the future in which it can support national large scale topographical mapping program up to the 1:1.000 map scale.

scholarly journals Gradient Compressive Sensing for Image Data Reduction in UAV Based Search and Rescue in the Wild

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Josip Musić ◽  
Irena Orović ◽  
Tea Marasović ◽  
Vladan Papić ◽  
Srdjan Stanković
Keyword(s):  
High Resolution ◽  
Compressive Sensing ◽  
User Study ◽  
Image Data ◽  
Search And Rescue ◽  
Aerial Images ◽  
Control Center ◽  
In The Wild ◽  
Image Pixels ◽  
Validation Tests

Search and rescue operations usually require significant resources, personnel, equipment, and time. In order to optimize the resources and expenses and to increase the efficiency of operations, the use of unmanned aerial vehicles (UAVs) and aerial photography is considered for fast reconnaissance of large and unreachable terrains. The images are then transmitted to control center for automatic processing and pattern recognition. Furthermore, due to the limited transmission capacities and significant battery consumption for recording high resolution images, in this paper we consider the use of smart acquisition strategy with decreased amount of image pixels following the compressive sensing paradigm. The images are completely reconstructed in the control center prior to the application of image processing for suspicious objects detection. The efficiency of this combined approach depends on the amount of acquired data and also on the complexity of the scenery observed. The proposed approach is tested on various high resolution aerial images, while the achieved results are analyzed using different quality metrics and validation tests. Additionally, a user study is performed on the original images to provide the baseline object detection performance.

scholarly journals Applicability of High-Resolution Geospatial Data Obtained by UAV Photogrammetry to Develop Drainage System Models for Pluvial Flood Analysis

2021 ◽  
Vol 16 (3) ◽  
pp. 371-380
Author(s):  
Kyuhyun Park ◽  
Yoshihiro Shibuo ◽  
Junichi Katayama ◽  
Shinji Baba ◽  
Hiroaki Furumai ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Agricultural Land ◽  
Drainage System ◽  
Storm Surges ◽  
Geospatial Data ◽  
System Model ◽  
Small Scale ◽  
Surface Information ◽  
Flood Analysis

Integrated flood models have been previously developed to simulate diverse inundation situations and combined with models of storm surges and river floods. However, drainage systems, ground elevation, and surface information of human settlements have only been digitized in large cities. Digitization of surface information is essential for developing a drainage system model for pluvial flood analysis. Occasionally, suburban drainage areas exhibit various complex land-use conditions, including residential and green areas, agricultural land with drainage, and irrigation channels. Herein, UAV photogrammetry was applied to obtain high-resolution geospatial data associated with small-scale flood-prone areas whose elevation, land-use, and waterway networks have not been elucidated sufficiently. The resolution of elevation and land-use data ranged from 2.61–5.22 cm/mesh. The measurement accuracy of the width and depth of the open channels was high, and the errors were mostly within 10%. A drainage system model was developed using data on open channel, elevation, and land-use.

scholarly journals ANALYSIS OF RADAR AND OPTICAL SPACE BORNE DATA FOR LARGE SCALE TOPOGRAPHICAL MAPPING

2015 ◽  
Vol XL-3/W2 ◽  
pp. 235-242
Author(s):  
W. Tampubolon ◽  
W. Reinhardt
Keyword(s):  
High Resolution ◽  
Disaster Preparedness ◽  
Large Scale ◽  
Continuous Process ◽  
Remote Sensing Data ◽  
Geospatial Data ◽  
Data Sources ◽  
Additional Time ◽  
Topographical Mapping ◽  
Map Scale

Normally, in order to provide high resolution 3 Dimension (3D) geospatial data, large scale topographical mapping needs input from conventional airborne campaigns which are in Indonesia bureaucratically complicated especially during legal administration procedures i.e. security clearance from military/defense ministry. This often causes additional time delays besides technical constraints such as weather and limited aircraft availability for airborne campaigns. Of course the geospatial data quality is an important issue for many applications. The increasing demand of geospatial data nowadays consequently requires high resolution datasets as well as a sufficient level of accuracy. Therefore an integration of different technologies is required in many cases to gain the expected result especially in the context of disaster preparedness and emergency response. Another important issue in this context is the fast delivery of relevant data which is expressed by the term “Rapid Mapping”. <br><br> In this paper we present first results of an on-going research to integrate different data sources like space borne radar and optical platforms. Initially the orthorectification of Very High Resolution Satellite (VHRS) imagery i.e. SPOT-6 has been done as a continuous process to the DEM generation using TerraSAR-X/TanDEM-X data. The role of Ground Control Points (GCPs) from GNSS surveys is mandatory in order to fulfil geometrical accuracy. In addition, this research aims on providing suitable processing algorithm of space borne data for large scale topographical mapping as described in section 3.2. <br><br> Recently, radar space borne data has been used for the medium scale topographical mapping e.g. for 1:50.000 map scale in Indonesian territories. The goal of this on-going research is to increase the accuracy of remote sensing data by different activities, e.g. the integration of different data sources (optical and radar) or the usage of the GCPs in both, the optical and the radar satellite data processing. Finally this results will be used in the future as a reference for further geospatial data acquisitions to support topographical mapping in even larger scales up to the 1:10.000 map scale.

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