| 1. |
- Buchwitz, M., et al.
(author)
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The greenhouse gas project of Esa's climate change initiative (GHG-CCI) : Overview, achievements and future plans
- 2015. - 7W3
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In: 2015 36th International Symposium on Remote Sensing of Environment. - 1682-1750. ; 40, s. 165-172
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Conference paper (peer-reviewed)abstract
- The GHG-CCI project (http://www.esa-ghg-cci.org/) is one of several projects of the European Space Agency's (ESA) Climate Change Initiative (CCI). The goal of the CCI is to generate and deliver data sets of various satellite-derived Essential Climate Variables (ECVs) in line with GCOS (Global Climate Observing System) requirements. The "ECV Greenhouse Gases" (ECV GHG) is the global distribution of important climate relevant gases-namely atmospheric CO2 and CH4-with a quality sufficient to obtain information on regional CO2 and CH4 sources and sinks. The main goal of GHG-CCI is to generate long-term highly accurate and precise time series of global near-surface-sensitive satellite observations of CO2 and CH4, i.e., XCO2 and XCH4, starting with the launch of ESA's ENVISAT satellite. These products are currently retrieved from SCIAMACHY/ENVISAT (2002-2012) and TANSO-FTS/GOSAT (2009-today) nadir mode observations in the near-infrared/shortwave-infrared spectral region. In addition, other sensors (e.g., IASI and MIPAS) and viewing modes (e.g., SCIAMACHY solar occultation) are also considered and in the future also data from other satellites. The GHG-CCI data products and related documentation are freely available via the GHG-CCI website and yearly updates are foreseen. Here we present an overview about the latest data set (Climate Research Data Package No. 2 (CRDP#2)) and summarize key findings from using satellite CO2 and CH4 retrievals to improve our understanding of the natural and anthropogenic sources and sinks of these important atmospheric greenhouse gases. We also shortly mention ongoing activities related to validation and initial user assessment of CRDP#2 and future plans.
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| 2. |
- Ellul, C., et al.
(author)
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Investigating the state of play of geobim across Europe
- 2018. - 4/W10
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In: 13th 3D GeoInfo Conference 2018. - 1682-1750. ; 42, s. 19-26
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Conference paper (peer-reviewed)abstract
- In both the Geographic Information (Geo) and Building Information Modelling (BIM) domains, it is widely acknowledged that the integration of data from both domains is beneficial and a crucial step in facing the multi-disciplinary challenges of our built environment. The result of this integration - which can broadly be termed GeoBIM -could answer questions such as identifying an appropriate Heating, Ventilation and Air Conditioning system for a building based on room usage, outside air temperature, solar exposure and traffic pollution or validating whether a proposed built asset meets relevant planning constraints. Developing a coherent approach to GeoBIM integration requires consensus between multiple stakeholders from both the Geo and the BIM side and at an international level. This multi-country and multi-stakeholder approach is the topic of a 2-year EuroSDR project on GeoBIM integration that started in November 2017. The general aim of the project is to detail both the needs and the issues of GeoBIM integration, studied from use cases as well as from existing experiences in the participating countries and to develop initial solutions accordingly. This paper reports initial results - it identifies strong potential for GeoBIM but also rather fragmented activity, with no national level focus. It also notes that research (both in industry and academia) primarily focuses on standards, interoperability and data integration or exchange. Based on these findings - and with a focus on existing work and topics of interest to NMCAs - the next phase of the work will develop more detailed case studies for Asset Management and Urban Planning.
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| 3. |
- Ellul, C., et al.
(author)
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THE EUROSDR GEOBIM PROJECT - DEVELOPING CASE STUDIES for the USE of GEOBIM in PRACTICE
- 2020. - 4/W1
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - 1682-1750. ; 44, s. 33-40
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Conference paper (peer-reviewed)abstract
- Although the use of location-based data (location coupled with semantic information) within Geographical Information Systems (GIS) and from Earth Observation (e.g. satellite) sources has been long established for decision makers, this has only recently been reflected in the construction sector with a more recent move from Computer Aided Design (CAD) to Building Information Modelling. BIM has opened up an additional source of valuable location-based data, with particular focus on the architecture, structural and engineering detail of both buildings and infrastructure projects. As with most if not all location data, while BIM can be used on its own, major benefits are to be derived from integration with other data sources. When this is done with GIS, the result is known as GeoBIM and although there are some similarities between the two, challenges to integration are both technical and non technical, in particular the need for clear case studies to motivate both developers and senior management. There are synergies to be gained from a multi-national, coordinated approach when addressing these challenges, where participants can benefit from each-others' experience and where the needs of users and the National Mapping and Cadastral Agency (NMCA) perspective underpin the research. This paper summarises final outcomes and findings of the EuroSDR GeoBIM research project, which was set up to provide the required multi-national, user-centric collaborative framework, which had as its overall aim the development of best practice guidelines for GeoBIM, and due to its situation within EuroSDR has an NMCA focus. The paper updates information with regard to GeoBIM projects and maturity in the participant countries, and provides an overview of the two case studies developed.
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| 4. |
- Eriksson, H., et al.
(author)
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What is the need for building parts? - A comparison of CityGML, INSPIRE building and a Swedish building standard
- 2018
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. - : International Society for Photogrammetry and Remote Sensing. ; 42, s. 27-32
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Conference paper (peer-reviewed)abstract
- The need for digital building information is increasing, both in the form of 3D city models (as geodata) and of more detailed building information models (BIM). BIM models are mainly used in the architecture, engineering and construction industry, but have recently become interesting also for municipalities. The overall aim of this paper is to study one way of dividing a building, namely the division of a building into building parts in both 3D city models and in BIM models. The study starts by an inventory of how building parts are defined in 3D city model standards (CityGML, the INSPIRE building specification and a Swedish national specification for buildings) and in BIM models (Industry Foundation Classes, IFC). The definition of building parts in these specifications are compared and evaluated. The paper also describes potential applications for the use of building parts, on what grounds a building could be divided into building parts, advantages and disadvantages of having building parts and what consequences it can have on the usage of the building information. One finding is that building parts is defined similar, but not identical in the studied geodata specifications and there are no requirements, only recommendations on how buildings should be divided into building parts. This can complicate the modelling, exchange and reuse of building information, and in a longer perspective, it would be desirable to have recommendations of how to define and use building parts in for example a national context.
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| 5. |
- Forsman, Mona, et al.
(author)
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Estimation of tree stem attributes using terrestrial photogrammetry
- 2012
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - : Copernicus Gesellschaft. ; 39-B5, s. 261-265
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Conference paper (other academic/artistic)abstract
- The objective of this work was to create a method to measure stem attributes of standing trees on field plots in the forest using terrestrial photogrammetry. The primary attributes of interest are the position and the diameter at breast height (DBH).The developed method creates point clouds from image from three or more calibrated cameras attached to a calibrated rig. SIFT features in multiple images in combination with epipolar line filtering are used to make high quality matching in images with large amounts of similar features and many occlusions. After projection of the point cloud to a simulated ground plane, RANSAC filtering is applied, followed by circle fitting to the remaining points.To evaluate the algorithm, a camera rig of five Canon digital system cameras with a baseline of 123 cm and up to 40 cm offset in height was constructed. The rig was used in a field campaign at the Remningstorp forest test area in southern Sweden. Ground truth was collected manually by surveying and manual measurements.Initial results show estimated tree stem diameters within 10% of the ground truth. This suggest that terrestrial photogrammetry is a viable method to measure tree stem diameters on circular field plots.
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| 6. |
- Franjcic, Zlatko, 1980, et al.
(author)
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Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images
- 2014
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. - 1682-1750. ; XL-3:3, s. 95-99
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Conference paper (peer-reviewed)abstract
- Recently, a camera self-calibration algorithm was reported which solves for pose, focal length and radial distortion using a minimal set of four 2D-to-3D point correspondences. In this paper, we present an empirical analysis of the algorithm's accuracy using high-fidelity point correspondences. In particular, we use images of circular markers arranged in a regular planar grid, obtain the centroids of the marker images, and pass those as input point correspondences to the algorithm. We compare the resulting reprojection errors against those obtained from a benchmark calibration based on the same data. Our experiments show that for low-noise point images the self-calibration technique performs at least as good as the benchmark with a simplified distortion model.
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| 7. |
- Gilichinsky, Michael
(author)
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Knowledge-based classification of land cover for the quality assessement of GIS database
- 2010
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In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - 1682-1750 .- 2194-9034. ; XXXVIII-4-8-2/W9, s. 217-222
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Conference paper (other academic/artistic)abstract
- Valid classification of remotely sensed data is one of the most studied issues in the geoinformation science. In recent years knowledge-based approach to image analysis has been developing for assessment and improvement of traditional statistically-based image classification. Knowledge-based classification procedure integrates remote sensing imagery with ancillary geospatial information from GIS. Data about land cover stored in GIS database are usually subjected to an intensive change processes that diminish their relevance and include different types of discrepant information. Classification of land cover by up-to-date satellite imagery and automatic updating of GIS database allows revision of discrepant or erroneous data. The knowledge-based classification doesn’t require any assumptions regarding the data distribution and allows straightforward incorporation of ancillary data from GIS. Compared to traditional mapping approaches knowledge-based classification has the advantages of lower cost, area-wide coverage, and possibility to frequent updating. In perspective of large GIS maintenance the knowledge-based classification may contribute to detection of change and assist automatic updating of spatial databases. The objective of this study was to perform knowledge-based classification of land cover using satellite remote sensing data and GIS ancillary data. The selected target groups of land cover from the Israeli National GIS have been characterized spectrally by multispectral IKONOS data and geometrically by GIS data. The formalized knowledge about the target groups was incorporated into classification of remote sensing data. By means of classification results the discrepant land cover polygons have been detected and suggested for revision. Discussed are classification results and the analysis of detected discrepancies. The classification results have provided an indication of the utility of formalized knowledge for classification of land cover. The proposed method could be one possible approach to quality assessment and may contribute to automatic updating of existing spatial databases
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| 8. |
- Gilichinsky, Michael
(author)
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Measurements of Morphometric Parameters From Digital Elevation Models
- 2010
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In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - 1682-1750 .- 2194-9034. ; 38-4-8, s. 138-145
-
Conference paper (peer-reviewed)abstract
- The present research examines the measured morphometric values of monogenetic cinder cones in the Tolbachik volcanic field (Kluchevskaya volcanic group, Kamchatka). The cones were measured from digital elevation models derived from satellite data (ASTER and SRTM) and from digitized topographic maps. The GPS measurements of 85 locations were performed in the field to provide geodetic reference for DEM processing as well as to assess the accuracy of the DEM. A methodology for morphometric measurements on a DEM is proposed. The morphometric parameters derived from a DEM include the main characteristics that control the rate of degradational evolution of the cone: height, width and slope. The measured morphometric values were compared and accuracy assessment was carried out.Our study analyzes the morphometric values of four recent cinder cones formed during the last basaltic eruption in 1975-76, and of five older ones formed during the last 2000 years. We show that morphometric values obtained from a DEM are affected by the resolution change, and characteristics of the same cinder cone may vary in their values among DEMs of different resolutions. According to the results, the morphometry of the cinder cones can be well characterized by a DEM derived from remotely sensed data. The calculated morphometric parameters showed a correlation with the spatial resolution of the DEM and relative age of the cinder cones. All studied DEM (including coarse resolution SRTM) were found suitable for morphometric measurements under the constraint of spatial resolution.
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| 9. |
- Khodaei, Behshid
(author)
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3D SURFACE GENERATION FROM AERIAL THERMAL IMAGERY
- 2015
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. - 1682-1750.
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Journal article (other academic/artistic)abstract
- Aerial thermal imagery has been recently applied to quantitative analysis of several scenes. For the mapping purpose based on aerial thermal imagery, high accuracy photogrammetric process is necessary. However, due to low geometric resolution and low contrast of thermal imaging sensors, there are some challenges in precise 3D measurement of objects. In this paper the potential of thermal video in 3D surface generation is evaluated. In the pre-processing step, thermal camera is geometrically calibrated using a calibration grid based on emissivity differences between the background and the targets. Then, Digital Surface Model (DSM) generation from thermal video imagery is performed in four steps. Initially, frames are extracted from video, then tie points are generated by Scale-Invariant Feature Transform (SIFT) algorithm. Bundle adjustment is then applied and the camera position and orientation parameters aredetermined. Finally, multi-resolution dense image matching algorithm is used to create 3D point cloud of the scene. Potential of the proposed method is valuated based on thermal imaging cover an industrial area. The thermal camera has 640×480 Uncooled Focal Plane Array (UFPA) sensor, equipped with a 25 mm lens which mounted in the Unmanned Aerial Vehicle (UAV). The obtained results show the comparable accuracy of 3D model generated based on thermal images with respect to DSM generated from visible images, however thermal based DSM is somehow smoother with lower level of texture. Comparing the generated DSM with the 9 measured GCPs in the area shows the Root Mean Square Error (RMSE) value is smaller than 5 decimetres in both X and Y directions and 1.6 meters for the Z direction.
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| 10. |
- Mosomtai, G., et al.
(author)
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Characterizing movement patterns of nomadic pastoralists and their exposure to rift valley fever in Kenya
- 2023
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In: The international archives of the photogrammetry, remote sensing and spatial information sciences. - : Copernicus GmbH. - 1682-1750 .- 2194-9034. ; , s. 211-216
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Conference paper (peer-reviewed)abstract
- The role of animal movement in spreading infectious diseases is highly recognized by various legislations and institutions such as the World Organisation for Animal Health and the International Animal Health Code. The increased interactions at the nexus of human-animal-ecosystem interface have seen an unprecedented introduction and reintroduction of new zoonotic diseases with high socio-economic impacts such as the COVID-19 pandemic. Rift Valley fever (RVF) is a zoonotic disease that affects both humans and animals and is transmitted by Aedes mosquitoes or through contact with the body fluids of infected animals. This study seeks to characterize movement patterns of pastoralist and how this movement behaviour increases their susceptibility to RVF virus exposure. We levarage on a rapidly growing field of movement ecology to monitor five herds collared from 2013 - 2015 in an RVF endemic semi-arid region in Kenya. The herds were also sampled for RVF antibodies to assess their exposure to RVF virus during the rainy seasons. adehabitatLT package in R was used to analyze the trajectory data whereas the first passage time (FPT) analysis was used to measure the area utilized in grazing. Sedentary herds grazed within 15km radius while migrating herds presented restricted space use patterns during the dry seasons and transient movement during the start and end of the rainy season. Furthermore, RVF virus antibodies were generally low for sedentary herds whereas the migrating herds recorded high levels during their transition periods. This study can be used to identify RVF risk zones for timely and targeted management strategies.
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| 11. |
- Noardo, F., et al.
(author)
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INTEGRATING EXPERTISES and AMBITIONS for DATA-DRIVEN DIGITAL BUILDING PERMITS - The EUNET4DBP
- 2020. - 4/W1
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - 1682-1750. ; 44, s. 103-110
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Conference paper (peer-reviewed)abstract
- The digitalization of the process for building permit (involving the use of 3D information systems) is seen as a priority in a wide part of the world. Since it is a very multidisciplinary use case, involving a variety of stakeholders tackling complex issues and topics, some of them joined their efforts and skills in the European Network for Digital Building Permit. The initial activity of the network, after a review of on-going experiences, was a workshop to share knowledge about the topics involved and to identify the main ambitions of the network with respect to three pillars (i.e. Process - Rules and Requirements - Technology) and the related requirements. It was achieved through a collective brainstorming activity guided by digital tools, whose results were further analysed in a post-processing phase. Such results are presented in this paper and will be the base for planning the future network activity.
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| 12. |
- Noardo, F., et al.
(author)
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THE ISPRS-EUROSDR GEOBIM BENCHMARK 2019
- 2020. - B5
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ISPRS Archives. - 1682-1750. ; 43, s. 227-233
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Conference paper (peer-reviewed)abstract
- Standardised data formats and data models are essential for data integration and interoperability, which in turn adds value to data by allowing its reuse in multiple contexts. For this reason, in recent years extensive efforts have been focused on standards development. When representing the built environment, 3D city models and Building Information Models are particularly relevant, and their integration is now required to underpin use cases that cover the full life-cycle of a built asset, including design and planning as well as operations and management, and to support legal applications such as cadastral systems. For those kinds of data, CityGML by the Open Geospatial Consortium and Industry Foundation Classes by buildingSMART are the most popular reference standards. However, many users report, often through informal channels, the difficulties of working with these formats. This paper summarizes the outcomes of the GeoBIM Benchmark 2019, a scientific initiative funded by ISPRS and EuroSDR to collect insights into the most relevant issues encountered in the management of CityGML and IFC within existing software. Alongside data management (import, visualisation, analysis, export) problems, issues of particular consequence in terms of integration relate to georeferencing IFC files and the conversions among the two kinds of formats and models. Thus, the benchmark was designed to explore these tasks in available software. Following analysis of the benchmark results, a key outcome is the impossibility to find clear patterns in the behaviour of tools, which consequently means there is no consistency in the implementation of standards. Although the results could seem disappointing, the criticality in managing these standards as they are was described and this awareness can be the starting point for further research or further standards development. Finally, this project was useful to gather a wide community around this topic, and the discussion about the GeoBIM-related issues was definitely pushed.
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| 13. |
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| 14. |
- Persson, Henrik
(author)
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Body of Knowledge for the Earth Observation and Geoinformation Sector – A Basis for Innovative Skills Development
- 2020
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In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - 1682-1750 .- 2194-9034. ; XLIII-B5-2020, s. 15-22
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Conference paper (peer-reviewed)abstract
- With new Earth Observation (EO) and Geoinformation (GI) data sources increasingly becoming available, evermore new skills for data collection, processing, analysis and application are required. They are needed not only from scientists, but also from practitioners working in businesses, public and private EO*GI and related sectors. Aligning the continuously evolving skill sets demanded by the market and existing academic and vocational training programmes is not an easy task. Training programmes should be grounded in real needs of the sector and its labour market. To do this, it is necessary to identify the knowledge and skills needed, and map their interconnectivity in specific frameworks, which can later be used for the definition of new curricula or job-oriented learning paths. This paper presents a framework for the EO*GI sector, based on a Body of Knowledge (BoK), by creating a complete set of concepts with a semantic structure underneath that supports academia and industry. Creating and updating the BoK is supported by an editing tool, the Living Textbook and by experts in the EO*GI domain, who contributes to the BoK’s enrichment.
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| 15. |
- Persson, Henrik
(author)
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Estimating the forest stand volume and basal area using pleiades spectral and auxiliary data
- 2019
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In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - 1682-1750 .- 2194-9034. ; XLII-4/W18, s. 1131-1136
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Conference paper (peer-reviewed)abstract
- The aim of this study was to evaluate the improvements of volume and basal area estimations, when spectral data from the Pleiades were complemented with auxiliary data. The study area was located in the Darabkola's forest of Sari, Iran. In-situ data were collected for 144 circular sample plots, with 17.84 m radius, which were distributed using a simple random sampling design. Tree information included diameter at breast height (DBH) of all trees within the sample plots, and the height of some trees. By using DBH and tree height, the volume and basal area per hectare was also computed for each plot. Geometric and radiometric corrections of spectral data were applied to the images. In addition, the auxiliary maps of slope, aspect, elevation, soil pH and texture (through ground sampling and interpolation), precipitation and temperature (through interpolation of climate stations) were prepared. Digital values corresponding to ground plots were extracted from spectral bands and auxiliary data and considered as independent variables while volume and basal area were selected as dependent variables. The forest modeling was carried out using a non-parametric method of random forest (RF), using 70% of the sample plots as training data. The results were validated using the remaining 30% sample plots. The results indicated that by using both spectral and auxiliary data, the RMSE was reduced by 5% compared to using only spectral data for volume modeling. The corresponding advantage of using both spectral and auxiliary data was 1% to 3% when basal area was modeled.
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| 16. |
- Thuvander, Liane, 1970, et al.
(author)
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Procedural digital twin generation for co-creating in VR focusing on vegetation
- 2022
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. - 1682-1750. ; XLVIII-4/W5-2022, s. 189-196
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Conference paper (peer-reviewed)abstract
- An early-stage development of a Digital Twin (DT) in Virtual Reality (VR) is presented, aiming for civic engagement in a new urban development located in an area that is a forest today. The area is presently used for recreation. For the developer, it is important both to communicate how the new development will affect the forest and allow for feedback from the citizen. High quality DT models are time-consuming to generate, especially for VR. Current model generation methods require the model developer to manually design the virtual environment. Furthermore, they are not scalable when multiple scenarios are required as a project progresses. This study aimed to create an automated, procedural workflow to generate DT models and visualize large-scale data in VR with a focus on existing green structures as a basis for participatory approaches. Two versions of the VR prototype were developed in close cooperation with the urban developer and evaluated in two user tests. A procedural workflow was developed for generating DT models and integrated into the VR application. For the green structures, efforts focused on the vegetation, such as realistic representation and placement of different types of trees and bushes. Only navigation functions were enabled in the first user test with practitioners (9 participants). Interactive functions were enabled in the second user test with pupils (age 15, 9 participants). In both tests, the researchers observed the participants and carried out short reflective interviews. The user test evaluation focussed on the perception of the vegetation, general perception of the VR environment, interaction, and navigation. The results show that the workflow is effective, and the users appreciate green structure representations in VR environments in both user tests. Based on the workflow, similar scenes can be created for any location in Sweden. Future development needs to concentrate on the refinement of buildings and information content. A challenge will be balancing the level of detail for communication with residents.
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| 17. |
- Westin, Jonathan, 1980, et al.
(author)
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Digitising Sensitive Heritage Monuments In Antarctica
- 2024
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In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVIII-2/W4-2024. 10th International Workshop 3D-ARCH "3D Virtual Reconstruction and Visualization of Complex Architectures, 21–23 February 2024, Siena, Italy / editor(s): S. Campana, F. Fassi, and F. Remondino. - : International Society for Photogrammetry and Remote Sensing. - 1682-1750.
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Conference paper (peer-reviewed)abstract
- During the Antarctica expedition CHAQ2020, several cultural heritage sites – remains from the Swedish South Polar Expedition (1901–1903) – were documented using a range of different techniques and technologies. These physical monuments and environments are for all intents and purposes unavailable for most researchers due to their remote location and are also threatened by the effects of climate change. Hence, the deployed documentation techniques and technologies were selected both as a consequence of the inherently difficult conditions in Antarctica, where their reliance, durability, and speed were key considerations, but also for their perceived ability to document the unique and fragile environment. The documentation was carried out with the double intention of both allowing for observations in situ through processes of analytical drawings and data capture, but also capturing the environment as broadly and deeply as possible, in essence making a copy of it open for studies of unknown unknowns, that could serve as a source material for research questions still undefined. Hence, with the documentation of the winter station on Snow Hill Island as a case study, and with a perspective on documentation as a method through which to process, preserve, and disseminate information, this article serves to critically detail, compare, and evaluate the digital techniques and technologies that the expedition deployed to capture architectural elements and spatial contexts, and the data that could be obtained through these.
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| 18. |
- Youneszadeh, S., et al.
(author)
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The effect of land use change on land surface temperature in the Netherlands
- 2015
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. - 1682-1750. ; 40:1W5, s. 745-748
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Journal article (peer-reviewed)abstract
- The Netherlands is a small country with a relatively large population which experienced a rapid rate of land use changes from 2000 to 2008 years due to the industrialization and population increase. Land use change is especially related to the urban expansion and open agriculture reduction due to the enhanced economic growth. This research reports an investigation into the application of remote sensing and geographical information system (GIS) in combination with statistical methods to provide a quantitative information on the effect of land use change on the land surface temperature. In this study, remote sensing techniques were used to retrieve the land surface temperature (LST) by using the MODIS Terra (MOD11A2) Satellite imagery product. As land use change alters the thermal environment, the land surface temperature (LST) could be a proper change indicator to show the thermal changes in relation with land use changes. The Geographical information system was further applied to extract the mean yearly land surface temperature (LST) for each land use type and each province in the 2003, 2006 and 2008 years, by using the zonal statistic techniques. The results show that, the inland water and offshore area has the highest night land surface temperature (LST). Furthermore, the Zued (South)-Holland province has the highest night LST value in the 2003, 2006 and 2008 years. The result of this research will be helpful tool for urban planners and environmental scientists by providing the critical information about the land surface temperature.
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